Release Notes

This document describes new product features, changes to default system behavior, known issues that may affect your use of the system, and resolved issues.1

Table 76 Summary of New Features

Release Date

New Features

2023-11-15

Solver API: Spin-Reversal-Transforms Parameter Removed

Solver API: Auto-Scaling Parameter Uses Extended J Range

2023-11-01

Leap Support for Third-Party IDEs Replaces the Leap IDE

2023-10-18

Solver Change: Advantage_system6.3 Replaces Advantage_system6.2

Leap Support for Third-Party IDEs: Beta Release

Solver API: Removal of Spin-Reversal-Transforms Parameter is Rescheduled

2023-10-04

Third-Party IDE Support Replacing Leap IDE

2023-09-20

New Leap Admin Feature: Multi-Project Management for Organizations

Solver API: Deprecated Parameter for Spin-Reversal Transforms

2023-08-23

Leap Hybrid CQM and QPU Solvers: Size of Returned Data Reduced

2023-08-09

Leap Admin Displays the Associated Organization for a Project

2023-07-26

Solver Change: Advantage_system5.4 Replaces Advantage_system5.3

2023-07-12

Leap Hybrid CQM Solver: Improved Performance for Presolve Algorithms

2023-06-29

Leap Hybrid CQM Solver: Improved Serialization

Leap Hybrid CQM Solver No Longer Accepts NaN in Problems

2023-06-14

Leap Hybrid CQM Solver: Performance Improvement

2023-05-31

Leap Hybrid CQM Solver: Performance Improvement

Leap Dashboard: Updated for Seat-based Projects

DW_2000Q_6 and DW_2000Q_VFYC_6 QPU Solvers Decommissioned

Solver Change: Advantage_system6.2 Replaces Advantage_system6.1

2023-05-03

New DQM Solver Property: maximum_number_of_cases

Leap Hybrid DQM Solver: Performance Improvement

2023-04-05

Leap Admin: Seat-based Projects Support Modifying Solver-Access Time for Members

2023-03-22

Leap Admin Supports Seat-based Projects

Leap Hybrid CQM Solver: Performance Improvement

2023-03-08

Leap Expands to Israel

2023-02-08

Leap Hybrid CQM Solver: Performance Improvement

2022-12-02

DW_2000Q_6 Solver: Updated Readout Time

2022-11-30

Solver Change: Advantage_system5.3 Replaces Advantage_system5.2

2022-11-16

Leap Admin: Invitation Reminder No Longer Overrides Original Invitation

2022-11-02

CQM Presolve Algorithms

Leap Available on AWS Marketplace

2022-10-19

Revised SAPI REST Developer Guide Available

2022-10-05

Leap CQM Hybrid Solver Supports Weighted Constraints

More Accurate QPU Runtime Estimation for Problems

2022-08-24

Solver API: New Parameter for Retrieving a Subset of Solver Properties

2022-07-13

Solver Change: Advantage_system5.2 Replaces Advantage_system5.1

New Solver Property: problem_timing_data

2022-06-29

Enhanced Jupyter Notebook Experience

2022-06-16

Experimental Prototype of D-Wave’s Next-Generation QPU Online in Leap

2022-05-12

Leap CQM Hybrid Solver Supports Variables of Type Real

Additional D-Wave Quantum Computer in North America

2022-05-04

Documentation Update: QPU Property Values

Previous Version of Leap IDE Is No Longer Available

2022-04-20

CQM Hybrid Solver Supports Self-Loops for Integer Variables

Enhanced Leap Admin View of Solver-Access Time

2022-03-23

New Release of the Leap IDE

2022-03-09

Leap CQM Hybrid Solver Performance Improvements

2022-01-17

New D-Wave Quantum Computer in Europe

2022-01-12

CQM Solver Performance Improvements

Leap Admin Usability Enhancements

2021-12-01

Project Admins Can Modify the Solver-Access Time Simultaneously for Multiple Users

Improved Leap Admin Feature for Setting Solver-Access Time

Project Admins Can Copy Multiple Email Addresses From Excel to Invitations

Extended Invitation Period for Joining a Leap Project

2021-11-17

Project Administrators Can Simultaneously Remove Multiple Users

Advantage_system1.1 Solver Decommissioned

2021-10-20

Leap Supports Resources in Multiple Geographic Regions

2021-10-05

Hybrid Solver Service: CQM Solver

Advantage Performance Update

2021-09-27

New Leap Administration Tool

2021-09-08

Higher Resolution of Timing Properties, Parameters, and Fields

2021-08-25

Documentation Restructure: QPU Solver Datasheet

2021-06-16

Revision to Release Note for Leap’s DQM Solver

2021-05-05

Change to Orders and Billing Access via Leap

2021-05-05

Documentation Improvement: Updated Solver Properties and Parameters Guide

2021-04-21

Documentation Improvement: Updated Problem-Solving Handbook

Japanese Translation of Leap Cloud Subscription Agreement: Japan

2021-03-24

New Working Graph for Backup Advantage System

2021-03-10

Downloadable Privacy Policy and Terms & Conditions

2021-02-22

Leap Expands to Singapore

2021-02-10

Deprecated Timing Fields Removed from Solver API

2021-01-27

Removed Statistics Panel on Leap’s Dashboard

Assign Problem Labels

2021-01-13

Terms and Conditions for Japanese Users of Leap

2020-12-16

User Statistics Available on Leap’s Dashboard

2020-12-02

Problem Details Available on Leap’s Dashboard

Multiple-Project Support

2020-11-18

Solver Details Available on Leap’s Dashboard

2020-10-21

SAPI Returns Correct Estimate of Solver Load

2020-10-07

Hybrid Solver Service: DQM Solver

2020-09-29

Advantage™ General Availability

Leap’s Hybrid Solvers: Enhanced BQM Solver

2020-08-13

Access to D-Wave Quantum Computers via Amazon Braket

2020-07-29

Documentation Enhancement: Pegasus

Qubist Display of Problems Status

2020-07-15

Leap Expands to India and Australia

Project Managers Can Now Administer Quota

2020-06-17

Hybrid Solver Service: Increased Problem Size

2020-06-03

SAPI Sets Default Timing Information

2020-02-26 (Leap 2 launch)

Hybrid Solver Service

Online Integrated Developer Environment

Problem Inspector

Integrated Examples

New Subscription Options

2020-12-11

New Solver Property: quota_conversion_rate

New Solver Property: category

2020-11-27

New Jupyter Notebook: Hybrid Computing

2019-08-07

More Flexible Anneal Schedules Now Possible

2019-06-26

General Availability of D-Wave Hybrid

New Jupyter Notebook: Feature Selection

2019-04-01

New Solver Property: tags

2019-03-06

Time-Dependent Gain in Hamiltonian Biases

2018-10-02 (Leap launch)

Leap™ Launch

2023-11-15 Leap Release

Solver API: Spin-Reversal-Transforms Parameter Removed

As previously announced, the deprecated num_spin_reversal_transforms solver parameter is now removed from the Solver API.

Solver API: Auto-Scaling Parameter Uses Extended J Range

The auto_scale solver parameter now scales your problem’s \(J\) values up to a QPU’s maximum range (extended_j_range). Previously, auto-scaling was limited to the symmetric j_range solver property in order to support the now obsolete num_spin_reversal_transforms solver parameter. This change improves performance for some typical problems.

2023-11-01 Leap Release

Leap Support for Third-Party IDEs Replaces the Leap IDE

With this release, the Leap service offers enhanced support for third-party integrated development environments (IDEs) that are compliant with the Development Containers specification (aka ‘devcontainers’). As noted at the beginning of October, the Leap IDE is no longer available.

Examples of popular, compliant IDEs are cloud-based GitHub Codespaces and locally installed VS Code. For more information, see Support for IDEs.

See also end-to-end examples of D-Wave quantum applications in GitHub.

2023-10-18 Leap Release

Solver Change: Advantage_system6.3 Replaces Advantage_system6.2

With this release, the Advantage_system6.3 solver replaces the Advantage_system6.2 solver. The QPU working graph has changed slightly; specifically, the coupler connecting qubits 5580 and 5595 is no longer part of the working graph.

For the updated specifications, see the QPU-Specific Physical Properties: Advantage_system6.3 document on the QPU-Specific Characteristics page.

Note

The anneal schedule for this QPU is unchanged.

Leap Support for Third-Party IDEs: Beta Release

Leap’s enhanced support for third-party IDEs is now available in beta. For additional details, see Support for IDEs (Beta).

The following D-Wave code examples have been updated in GitHub to support the new developer experience. The remaining examples will be updated after the beta period:

Action Required!

Leap IDE workspaces will no longer be available after October 31, 2023. To continue working with your workspace code thereafter, store your code updates locally or push your commits to a repository in your GitHub account.

Solver API: Removal of Spin-Reversal-Transforms Parameter is Rescheduled

The removal of the deprecated num_spin_reversal_transforms solver parameter has been rescheduled from 2023-10-18 to 2023-11-15, at which time it will be removed from the Solver API.

2023-10-04 Leap Release

Third-Party IDE Support Replacing Leap IDE

From November 1, 2023, Leap will provide enhanced support for third-party integrated development environments (IDEs), both local and cloud-based, that implement the Development Containers specification (also known as “devcontainers”). Upcoming Ocean updates will enable a simple workflow for Leap authentication, simplifying the retrieval and storage of your Solver API token for use in submitting problems from your IDE.

D-Wave recommends that you consider switching from working in the Leap IDE, which is now deprecated, to best-in-class cloud IDE GitHub Codespaces. The upcoming beta release of Leap support for third-party IDEs will be announced shortly.

Action Required!

Leap IDE workspaces will no longer be available after October 31, 2023. To continue working with your workspace code thereafter, store your code updates locally or push your commits to a repository in your GitHub account.

2023-09-20 Leap Release

New Leap Admin Feature: Multi-Project Management for Organizations

As of this release, Leap enables management of multiple projects available via Leap organizations. Your company or institution is represented as an organization containing all your projects. An organization administrator is a person in your company or institution who can perform key aspects of project management, including project-administrator tasks, across all projects in an organization.

Note

In some cases, the structure of a business or institution does not require an organization administrator and project administrators can continue to manage the projects as before.

For more information, see the Managing Organizations section in the Administration Guide.

Solver API: Deprecated Parameter for Spin-Reversal Transforms

As of this release, the num_spin_reversal_transforms solver parameter is deprecated and will be removed from the Solver API on 2023-10-18.

For Spin-Reversal (Gauge) Transforms, use Ocean software’s SpinReversalTransformComposite composite instead.

2023-08-23 Leap Release

Leap Hybrid CQM and QPU Solvers: Size of Returned Data Reduced

Improvements to the Leap hybrid constrained quadratic model (CQM) and QPU solvers have reduced the size of the returned solutions as follows:

  • Less whitespace is included.

  • Integer-valued variable assignments now use JSON integers rather than floats.

Note

These improvements are backwards compatible.

2023-08-09 Leap Release

Leap Admin Displays the Associated Organization for a Project

A project’s associated organization is now displayed in the project’s title banner.

2023-07-26 Leap Release

Solver Change: Advantage_system5.4 Replaces Advantage_system5.3

With this release, the Advantage_system5.4 solver replaces the Advantage_system5.3 solver. The QPU working graph has changed slightly; specifically, qubit 3911 along with the couplers that were connected to it are no longer part of the working graph.

For the updated specifications, see the QPU-Specific Physical Properties: Advantage_system5.4 document on the QPU-Specific Characteristics page.

Note

The anneal schedule for this QPU is unchanged.

2023-07-12 Leap Release

Leap Hybrid CQM Solver: Improved Performance for Presolve Algorithms

With this release, the Leap hybrid constrained quadratic model (CQM) solver version 1.12 uses dwave-preprocessing 0.6.2, updated from dwave-preprocessing 0.5.4 to 0.6.2, including the presolve algorithm performance improvements in dwave-preprocessing 0.6.1.

2023-06-29 Leap Release

Leap Hybrid CQM Solver: Improved Serialization

Leap hybrid constrained quadratic model (CQM) solver version 1.11, available with this release, provides support for CQM serialization version 2.0, released as part of dimod 0.12.8. For certain problems, this serialization format provides smaller model files and faster uploads compared to previous versions.

Leap Hybrid CQM Solver No Longer Accepts NaN in Problems

As of this release, the CQM solver no longer accepts problems with NaN biases, offsets, right-hand-sides, bounds, or weights.

2023-06-14 Leap Release

Leap Hybrid CQM Solver: Performance Improvement

Leap hybrid constrained quadratic model (CQM) solver version 1.10, available with this release, has improved performance for certain problems compared to previous versions.

2023-05-31 Leap Release

Leap Hybrid CQM Solver: Performance Improvement

Leap hybrid constrained quadratic model (CQM) solver version 1.9, available with this release, has improved performance for certain problems compared to previous versions.

Leap Dashboard: Updated for Seat-based Projects

In addition to seat-related updates to terminology and plan descriptions, the dashboard has been updated for seat-based projects as follows:

  • The Monthly Access Usage Summary section is not displayed for users with unlimited solver access.

  • Your seat type in a project is displayed in the Seat Type field under your account name and a description of the seat type is provided in your profile’s Settings > Plan section.

DW_2000Q_6 and DW_2000Q_VFYC_6 QPU Solvers Decommissioned

As previously announced on March 8, 2023, the DW_2000Q_6 and DW_2000Q_VFYC_6 QPU solvers are now decommissioned. For more information, see this article in the Help Center.

Solver Change: Advantage_system6.2 Replaces Advantage_system6.1

With this release, the Advantage_system6.2 solver replaces the Advantage_system6.1 solver. The QPU working graph has changed slightly; specifically, qubits 727 and 742 along with the couplers that were connected to them are no longer part of the working graph.

For the updated specifications, see the QPU-Specific Physical Properties: Advantage_system6.2 document on the QPU-Specific Characteristics page.

Note

The anneal schedule for this QPU is unchanged.

2023-05-03 Leap Release

New DQM Solver Property: maximum_number_of_cases

This release introduces a new solver property, maximum_number_of_cases, which contains the maximum number of cases accepted by the hybrid discrete quadratic model (DQM) solver.

For information, see the maximum_number_of_cases property in the Solver Properties and Parameters Reference.

Leap Hybrid DQM Solver: Performance Improvement

Leap hybrid discrete quadratic model (DQM) solver version 1.8, available with this release, has improved performance for certain problems compared to previous versions.

2023-04-05 Leap Release

Leap Admin: Seat-based Projects Support Modifying Solver-Access Time for Members

With this release, you can modify the solver-access time for members in seat-based projects. To do so, select a member on the Project Members tab, and click meatball_menu > Modify solver access time.

For more information, see the Modifying the Limit on a Member’s Solver-Access Time section in the Administration Guide.

2023-03-22 Leap Release

Leap Admin Supports Seat-based Projects

Previously, Leap projects allocated solver-access time to project members. With this release, projects can be allocated a number of seats of various types (defined by your customer contract) that Leap administrators can then assign to members or applications based on the intended use. For example, applications and developers might be assigned to seats with more solver-access time than administrators. Seat-based projects are easier to manage, thereby reducing administrative work.

For more information, see the Administration Guide.

Leap Hybrid CQM Solver: Performance Improvement

With this release, the startup time of the Leap hybrid CQM solver is reduced. You may notice a faster response for some problems submitted to this solver.

Note

The startup time for hybrid solvers is not included in the time charged to your account (that is, the charge time).

2023-03-08 Leap Release

Leap Expands to Israel

As of March 8, 2023, users from Israel who are interested in real-time access to D-Wave’s quantum and hybrid solvers can sign up for the Leap quantum cloud service. This expansion brings the total number of supported countries to 39.

To see the full list of supported countries, go to From What Countries Can I Access Leap.

2023-02-08 Leap Release

Leap Hybrid CQM Solver: Performance Improvement

With this release, the startup time of the Leap hybrid CQM solver is reduced. You may notice a faster response for some problems submitted to this solver.

Note

The startup time for hybrid solvers is not included in the time charged to your account (that is, the charge time).

2022-12-02 Leap Release

DW_2000Q_6 Solver: Updated Readout Time

With this release, the readout time for the DW_2000Q_6 solver is 349.44 microseconds instead of 200.40.

The QPU-Specific Characteristics documentation has been updated with this change.

Note

This change does not adversely affect solution quality.

2022-11-30 Leap Release

Solver Change: Advantage_system5.3 Replaces Advantage_system5.2

With this release, the Advantage_system5.3 solver replaces the Advantage_system5.2 solver. The QPU working graph has changed slightly; specifically, qubits 5371 and 5386 along with the couplers that were connected to them are no longer part of the working graph.

For the updated specifications, see the corresponding QPU physical properties PDF on the QPU-Specific Characteristics page.

Note

The anneal schedule for this QPU is unchanged.

2022-11-16 Leap Release

Leap Admin: Invitation Reminder No Longer Overrides Original Invitation

Prior to this release, sending an invitation reminder created a new invitation link and expiration date (those in the original became invalid).

As of this release, invitation reminders are sent with the same link and expiration date as the original.

2022-11-02 Leap Release

CQM Presolve Algorithms

Presolve algorithms enhance performance and solution quality by performing preprocessing to reduce a problem’s redundant variables and constraints and to improve the accuracy of the CQM. With this release, best-in-class presolve algorithms are available in Ocean and automatically applied to problems submitted to Leap’s hybrid CQM solvers, for example, hybrid_constrained_quadratic_model_v1. In Ocean, you can use the presolve feature via the Ocean CQM Presolver class.

Note

Certain problems, especially very small ones, may be solved entirely during presolve preprocessing and therefore use no QPU time; if this occurs, the solver indicates it in the info field in the returned sampleset.

Leap Available on AWS Marketplace

As of this release, Leap as a SaaS product is available on the AWS Marketplace as D-Wave Leap Quantum Cloud Service.

2022-10-19 Leap Release

Revised SAPI REST Developer Guide Available

The SAPI REST Developer Guide has been revised for the convenience of users implementing their own SAPI client instead of using the standard client provided by Ocean.

2022-10-05 Leap Release

Leap CQM Hybrid Solver Supports Weighted Constraints

This release enables quantum-classical hybrid CQM solvers, for example, hybrid_constrained_quadratic_model_v1, to accept CQMs with weighted constraints. A constraint can be either “hard” or “soft.” Soft constraints are weighted in relative importance to the objective, other constraints, or both, and thus can be violated to achieve an overall good solution; whereas hard constraints must be satisfied. Previously, all constraints were hard. For example, if you want employees to work 8 hours with optional overtime of up to 4 hours per day, then the soft constraint is a workday of no more than 8 hours and the hard constraint is a workday of a maximum of 12 hours. For a code example, see the dimod.ConstrainedQuadraticModel.add_constraint_from_model method.

Note

This feature is backward compatible and your existing problems will continue to run without modification.

If you have installed the Ocean SDK locally, upgrade to Ocean 5.5 or later to enable formulating problems with weighted constraints; see the Ocean documentation for details.

More Accurate QPU Runtime Estimation for Problems

The method for estimating a problem’s QPU runtime has been improved. For information about estimating a problem’s QPU runtime, see the Estimating Access Time section in the QPU Solver Datasheet guide and Ocean software’s estimate_qpu_access_time() method.

With this release, some long-duration problems that were submitted previously without being rejected might now be rejected. For information about how to keep a problem within the QPU runtime limit, see the Keeping Within the Runtime Limit section in the QPU Solver Datasheet guide.

2022-08-24 Leap Release

Solver API: New Parameter for Retrieving a Subset of Solver Properties

With this release, REST clients can use the filter parameter to retrieve a subset of solver properties when getting a list of available solvers and their properties via the /solvers/remote resource or getting a solver’s properties via the /solvers/remote/<solver_id> resource.

For more information, see the SAPI REST Developer Guide.

2022-07-13 Leap Release

Solver Change: Advantage_system5.2 Replaces Advantage_system5.1

With this release, the Advantage_system5.2 solver replaces the Advantage_system5.1 solver. The QPU working graph has changed slightly; specifically, qubits 342 and 357 along with the couplers that were connected to them are no longer part of the available topology.

For the updated specifications, see the corresponding QPU physical properties PDF on the QPU-Specific Characteristics page.

Note

The anneal schedule for this QPU is unchanged.

New Solver Property: problem_timing_data

This release introduces a new solver property, problem_timing_data, that contains timing data used to estimate problem runtimes for a QPU solver.

For details, see the problem_timing_data property in the Solver Properties and Parameters Reference.

2022-06-29 Leap Release

Enhanced Jupyter Notebook Experience

The following enhancements are now available for Jupyter Notebooks:

  • For a fully interactive Jupyter Notebook experience, D-Wave Jupyter Notebook examples open automatically in the Leap IDE’s simple browser, replacing and mostly replicating the user experience Leap previously provided on the Learning tab.

    To create a new workspace with a Jupyter Notebook, click New Workspace on the Workspaces page and select a Jupyter Notebook on the Examples tab.

  • For a more integrated experience, Jupyter Notebooks are available together with Ocean code examples on the Code Examples and Notebooks page.

    To filter on Jupyter Notebooks, select Jupyter Notebook in the Format filter.

2022-06-16 Leap Release

Experimental Prototype of D-Wave’s Next-Generation QPU Online in Leap

With this release, a small, experimental prototype of D-Wave’s next-generation QPU, Advantage2™, is available in Leap. The Advantage2 prototype has about 500 qubits, each coupled to up to 20 other qubits; the full Advantage2 system is expected to have 7000 qubits. The major improvements of the Advantage2 architecture, named Zephyr, are as follows:

  • Greater connectivity

    The Zephyr topology enables more-compact embeddings for many problems. Embeddings with shorter chain lengths typically result in better solutions.

  • Increased energy scale

    The increased energy scale reduces sensitivity to thermal noise and results in better solutions and higher success probabilities.

The Advantage2 prototype is available as the Advantage2_prototype1.1 solver and is displayed on the Leap dashboard in the list of solvers for the North America (na-west-1) region.

For Zephyr-based QPUs, the new per_group_coupling_range property replaces the per_qubit_coupling_range property.

For more information on the prototype, see the following:

2022-05-12 Leap Release

Leap CQM Hybrid Solver Supports Variables of Type Real

The quantum-classical hybrid CQM solver was added to the Leap™ hybrid solver service in October 2021. Until this release, you could submit problems formulated as arbitrarily structured constrained quadratic models (CQMs) with binary and integer variables. This release enables these solvers, for example, hybrid_constrained_quadratic_model_v1, to accept CQMs with real-valued variables (also known as “continuous variables”).

Real variables are handled similarly to binary and integer variables:

>>> import dimod
>>> a = dimod.Real("a", upper_bound=5.5)
>>> cqm = dimod.ConstrainedQuadraticModel()
>>> cqm.add_constraint_from_model(a, ">=", 2.25, "Min a")
'Min a'
>>> cqm.constraints["Min a"].to_polystring()
'a >= 2.25'

Currently, quadratic interactions are not supported for such variables.

Leap’s IDE is now updated with an SDK version that supports real-valued variables in CQMs. If you have installed the Ocean SDK locally, upgrade to the latest version to enable formulating problems with variables of type real; see the Ocean documentation for details.

Additional D-Wave Quantum Computer in North America

A new Advantage™ quantum computer is now available at the University of Southern California’s Information Sciences Institute (ISI).

The Advantage_system6.1 solver is displayed on the Leap dashboard in the Solvers section’s North America (na-west-1) region.

For information about the QPU properties and anneal schedule, see the QPU-Specific Characteristics documentation.

2022-05-04 Leap Release

Documentation Update: QPU Property Values

The values of the following physical properties for the Advantage_system4.1 and Advantage_system5.1 QPUs have been updated in the documentation:

  • Readout time range

  • Programming time

For information, see the QPU-Specific Characteristics documentation.

Previous Version of Leap IDE Is No Longer Available

On March 23, 2022, D-Wave released a new Leap IDE. To give customers time to migrate their workspace data, access to the previous version of the Leap IDE and a workspace data migration utility was provided for a limited time. As of May 4, 2022, the previous version of the Leap IDE and workspace data migration utility are no longer available. If you need assistance accessing your old workspace data, contact D-Wave Customer Support.

2022-04-20 Leap Release

Enhanced Leap Admin View of Solver-Access Time

With this release, instead of only one solver-access time record per project, projects can have multiple records, which could span different dates. The total solver-access time available for a period is the sum of all active records for that period. Project administrators can also see past and future records. Accurate information about all records in a project is easily accessible in Leap Admin.

For more information, see the Administration Guide.

CQM Hybrid Solver Supports Self-Loops for Integer Variables

With this release, the CQM hybrid solver supports self-loops for integer variables. Self-loops are interactions of a variable with itself; that is, a non-zero quadratic coefficient of \(i^2\) for integer variable i, for example, in a constraint such as:

cqm.add_constraint(i*i <=3, label='max i squared')

where cqm is a constrained quadratic model.

2022-03-23 Leap Release

New Release of the Leap IDE

The new Leap IDE includes the following features and improvements:

  • Upgraded to the latest Kubernetes infrastructure for enhanced performance and faster access to new features and fixes.

  • New editor based on VS Code, including support for third-party extensions.

  • Supports running Docker images and Jupyter notebooks from within the IDE.

  • Improved user experience, including an enhanced workspaces dashboard.

  • Easy migration of workspace data.

2022-03-09 Leap Release

Leap CQM Hybrid Solver Performance Improvements

This release improves the performance of the Leap™ constrained quadratic model (CQM) hybrid solver for constrained problems with integer variables.

2022-01-17 Leap Release

New D-Wave Quantum Computer in Europe

Note

To correct its omission on January 17, 2022, this section was added on May 4, 2022.

An Advantage™ quantum computer is now available at Forschungszentrum Jülich Supercomputing Centre.

The Advantage_system5.1 solver is displayed on the Leap dashboard in the Solvers section’s Europe (eu-central-1) region.

For information about configuring access to the solver, see Accessing Solvers in Multiple Regions.

For information about the QPU properties and anneal schedule, see the QPU-Specific Characteristics documentation.

2022-01-12 Leap Release

CQM Solver Performance Improvements

With this release, CQM solver performance is improved for certain classes of problems, including feature selection.

Leap Admin Usability Enhancements

With this release, the following enhancements have been made in Leap Admin:

Users Do Not Need to Be Notified When Removed From a Project

By default, users are notified when they are removed from a project. With this release, project administrators can specify to not notify users when they are removed from a project.

For more information, see the Administration Guide.

Enhanced Usability for Inviting Users

With this release, the following usability improvements have been made to the Email field of the invitation dialog box:

  • Edit a user entry by double-clicking it.

  • Display a user’s email address by placing the pointer over the user entry.

  • Delete a user entry at the end of the user list by placing the cursor at the end of the list and pressing Backspace.

For more information, see the Administration Guide.

2021-12-15 Leap Release

Project Admins Can Simultaneously Revoke Multiple Invitations

With this release, project administrators can revoke the invitations for multiple users simultaneously as follows:

  1. On the Users tab, select the users for which to revoke invitations.

  2. Select the Manage Selected > Revoke invitation menu.

For more information, see the Administration Guide.

2021-12-01 Leap Release

Project Admins Can Modify the Solver-Access Time Simultaneously for Multiple Users

With this release, project administrators can modify the solver-access time simultaneously for multiple users as follows:

  1. On the Users tab, select the users for which you want to modify their solver-access time.

  2. Select the Manage Selected > Modify solver access time menu and set the desired solver-access time.

For more information, see the Administration Guide.

Improved Leap Admin Feature for Setting Solver-Access Time

With this release, a new dialog box is available for setting solver-access time when inviting users or modifying the solver-access time of current members.

In this dialog box, in addition to setting a user’s solver-access time to a specific value, project administrators can also set the user’s solver-access time to the project’s entire solver-access time or its default for all members.

For more information, see the Administration Guide.

Project Admins Can Copy Multiple Email Addresses From Excel to Invitations

With this release, project administrators can copy and paste multiple email addresses from a single column in an Excel spreadsheet into the Email field of invitations.

Extended Invitation Period for Joining a Leap Project

Instead of expiring after 1 week, invitations to join a Leap project now expire after 2 weeks.

2021-11-17 Leap Release

Project Administrators Can Simultaneously Remove Multiple Users

With this release, project administrators can simultaneously remove multiple users from a project in Leap Admin. To do this, perform the following:

  1. On the Users tab, select the users to remove.

  2. Select the Manage Selected > Remove from project menu.

For more information, see the Administration Guide.

Advantage_system1.1 Solver Decommissioned

Per the 5 November 2021 notification, the Advantage_system1.1 solver has been decommissioned and removed from Leap.

2021-10-20 Leap Release

Leap Supports Resources in Multiple Geographic Regions

This release adds support for processing problems on solvers located in multiple regions, such as North America and Europe. Your customer contract determines the solvers that are available in your projects. The Leap Dashboard has been enhanced to organize solvers by region. In addition, the Leap IDE and Ocean have been enhanced to enable you to submit problems to solvers by region.

2021-10-05 Leap Release: Hybrid CQM Solver and Advantage Performance Update

This release adds the new quantum-classical hybrid CQM solver to the Leap™ hybrid solver service and makes generally available a first system with the Advantage performance update.

Hybrid Solver Service: CQM Solver

Leap’s February 26, 2020 release introduced Leap’s hybrid solver service (HSS), which provides cloud-based quantum-classical hybrid solvers. These hybrid solvers, which implement state-of-the art classical algorithms together with intelligent allocation of the quantum processing unit (QPU) to parts of the problem where it benefits most, are designed to accommodate even very large problems.

Until this release, you could submit problems formulated as arbitrarily structured binary quadratic models (BQMs) and discrete quadratic models (DQMs). This release introduces a constrained quadratic model (CQM) solver that accepts problems with binary and integer variables and one or more constraints. In contrast to previous hybrid solvers, which required that you represent any problem constraints as penalty models in your objective, the CQM solver natively supports equality and inequality constraints. To enable formulating such quadratic models with convenient notation, Ocean now supports symbolic math.

The first online CQM solver is hybrid_constrained_quadratic_model_v1. It accepts problems with up to 5,000 variables, each of which can represent binary or integer values, 750 million total linear plus quadratic biases (values assigned to both nodes and edges of the graph representing your problem), and 100,000 constraints.2

Submit problems to the hybrid CQM solver as you would submit any BQM-formulated problem; in Ocean software use dwave-system tool’s LeapHybridCQMSampler. Example CQM problems are available in the documentation and in Ocean software’s collection of code examples on GitHub.

For details on hybrid solvers, see Using Leap’s Hybrid Solvers. For performance information on the new hybrid CQM solver, see the Technical Report 14-1055A document.

2

Contact D-Wave at sales@dwavesys.com if your application requires scale or performance that exceeds the currently advertised capabilities of Leap’s generally available hybrid solvers.

Advantage Performance Update

This release brings online the Advantage_system4.1 system that includes several enhancements to D-Wave’s quantum processing unit (QPU) technology:

For detailed QPU performance information (for example, numerical analyses on performance for clique and SAT problems), see the Technical Report 14-1054A document, which is now updated for the latest Advantage system.

Higher Yield

The working graph of a QPU is the subset of the Pegasus (or Chimera for D-Wave 2000Q systems) graph available to users3; The yield of the working graph is the percentage of working qubits that are present. Advantage QPUs are fabricated with 5,640 qubits connected in the Pegasus architecture by 40,484 couplers. Yield substantially affects problem embedding.

Previous Advantage QPUs had between 5,436 to 5,567 available qubits, providing working-graph yields of 96% to 98.7%. Crucially, previous yields for couplers were 92% to 97.4%. The Advantage_system4.1 system has a yield of 99.7% (5,627 qubits) with 99.4% of couplers (40,279) available for use. This increased yield greatly improves performance of embedding; for example, the largest clique (fully connected graph) that has been successfully embedded has grown from 119 to 177 nodes (with chain length of 17 qubits4).

3

For more information about QPU topologies and working graphs, see the D-Wave QPU Architecture: Topologies chapter of the Getting Started with D-Wave Solvers guide.

4

Chains of such great length (17-qubit chains here) typically do not perform well for many problems. Depending on your problem, you might need to limit your chains to significantly shorter lengths.

Lower ICE

Integrated control errors (ICE) can limit the dynamic range of \(h\) and \(J\) values and include the main sources of infidelity in problem representation. The newest Advantage QPU exploits enhanced fabrication capabilities that reduce variations across its more than a million Josephson junctions. Additional design improvements enable more accurate programming of the values of qubit biases and coupling strengths that represent the linear and quadratic coefficients, respectively, of submitted objective functions. Consequently, solutions returned from newer QPUs—such as that in the Advantage_system4.1 system—have relatively lower errors and better scaling for problems.

Expanded Range of QPU Biases

This release expands the range of biases you can set on Advantage QPUs from the current nominal value of [-2.0, 2.0] to a nominal value of [-4.0, 4.0] (check the h_range property for your QPU solver for exact values).

The range of supported h biases of a QPU, as defined in the h_range property, determines the mapping from your problem’s linear coefficients to values of physical qubit biases (external magnetic fields applied to qubits that control probabilities of the qubits ending an anneal in 0 or 1 states). Typically, this mapping is handled automatically; however, if you turn off the auto_scale parameter, you map these yourself.

Doubling this range means that problems with diverse values of linear coefficients are more accurately represented (see the discussion on integrated control errors, ICE, in the QPU Solver Datasheet guide) and biases representing small coefficients are relatively high compared to noise due to the non-zero temperature of the QPU.

For example, submitting a problem with coefficients that include maximum values of \(J_{i,j} = 1, h_k = 10\) to a QPU solver with ranges j_range = [-1.0, 1.0] and h_range = [-2.0, 2.0] requires scaling by a factor of 5 (\(h_k = 10\) must fit under the upper limit of 2.0) while submitting it to a newer solver with h_range = [-4.0, 4.0] scales by 2.5. Consequently, if \(J_{i,j}\) is mapped to a single coupler bias, \(J_{x,y}\), its previous value of 0.2 is now increased to 0.4. For typical temperature-related noise amplitude of around 0.1–0.15, this increase can be significant. (Note that problems specified in QUBO form are converted to Ising when submitted and that bias values in the converted form, which have a dependency on the number of quadratic interactions in the QUBO, can be larger than the maximum bias of the original form—see the auto_scale parameter for more information.) For another example, see the Problem Scale example in the D-Wave Problem-Solving Handbook guide.

Support for Sub-Microsecond Anneals

This release enables users to specify a minimum anneal time smaller than one microsecond for newer Advantage QPUs. Previously, the range of anneal times for an Advantage QPU had a lower limit of 1 \(\mu s\); for example, on the Advantage_system1.1 system, annealing_time_range = [1, 2000]. The Advantage_system4.1 system supports a range of annealing_time_range = [0.5, 2000.0].

2021-09-27 Leap Release

New Leap Administration Tool

Leap Admin is a new, easy-to-use cloud-based administration tool. A project administrator uses Leap Admin to invite users and manage their access to projects in Leap, view the status of problems submitted to solvers, troubleshoot issues with problem submissions, and generate solver usage reports.

Leap Admin is available to project administrators from their Leap Dashboard. The Leap Admin menu should be accessible from your profile avatar. If you currently have project management permissions in Qubist (D-Wave’s legacy user interface) then you have been granted project administrator access in the new Leap pages. For questions about accessing Leap Admin, contact D-Wave Customer Support.

For instructions about using Leap Admin, go to the Administration Guide.

2021-09-08 Leap Release

Higher Resolution of Timing Properties, Parameters, and Fields

For timing-related SAPI properties and parameters, and for timing fields in returned solutions, which currently have values defined as integers, this release updates the data type to floating-point number. This backwards-compatible change enables support for values with higher resolution and/or range.

Having higher resolution can be useful for benchmarking and quantum-simulation studies; for example, where previously a set of anneal times might have been increased by 1 \(\mu s\) steps, you can now set steps of 0.01 \(\mu s\) on Advantage systems to attain a smoother dataset.

Updated properties are annealing_time_range, default_annealing_time, default_programming_thermalization, default_readout_thermalization, problem_run_duration_range, programming_thermalization_range, and readout_thermalization_range. For example, the annealing_time_range property, which defines the range of time possible for one anneal, was specified on the Advantage_system1.1 system as a pair of integer numbers of microseconds with value [1, 2000] and is now a pair of floating-point numbers with value [1.0, 2000.0].

Updated parameters are annealing_time, programming_thermalization, and readout_thermalization. Some timing parameters, such as anneal_schedule, already supported floating-point numbers and are not changed.

All the timing fields in returned solutions are updated. See the SAPI Timing Fields section of the QPU Solver Datasheet for an example output.

2021-08-25 Leap Release

Documentation Restructure: QPU Solver Datasheet

The formerly titled Technical Description of the QPU is now the QPU Solver Datasheet guide. This guide describes the D-Wave QPU in detail—the quantum annealing process, effects of integrated control errors (ICE) and other errors—and now includes chapters on timing and postprocessing (for the D-Wave 2000Q), which were previously separate documents. This document also provides the high-level descriptions of the annealing control features that were previously duplicated in a Quantum Annealing Controls section.

The content previously in a Machine Learning section is now included in the Problem-Solving Handbook guide.

Note also that the title of the Getting Started with the D-Wave System guide has been altered to Getting Started with D-Wave Solvers.

2021-06-16 Leap Release

Revision to Release Note for Leap’s DQM Solver

The content of release note Hybrid Solver Service: DQM Solver is revised for a software update deployed in February 2021 that changed the limits on the supported numbers of variables (previously 5,000) and total biases (previously 2 billion). The revised sentence now states, “It accepts problems with up to 3,000 discrete variables, each of which can represent sets of up to 10,000 values, and 3 billion total linear plus quadratic biases (values assigned to both nodes and edges of the graph representing your problem).”

See the Hybrid Solver Service: DQM Solver release note below for more information.

2021-05-19 Leap Release

Change to Orders and Billing Access via Leap

As of May 19, 2021, orders and billing information is no longer directly available to customers through the Leap™ system.

No action is required: Our system will continue to charge your credit card for your monthly Leap access, and a copy of the receipt will automatically be sent to you.

2021-05-05 Leap Release

Documentation Improvement: Updated Solver Properties and Parameters Guide

The Solver Properties and Parameters describes the solvers available through SAPI, their properties, and the parameters they accept with a problem submission.

A recent update has restructured this guide to make it easier to use and added basic usage examples for QPU and hybrid solvers.

2021-04-21 Leap Release

Documentation Improvement: Updated Problem-Solving Handbook

The Problem-Solving Handbook provides advanced guidance on using D-Wave solvers, in particular QPU solvers. It explains and demonstrates techniques of problem formulation, minor-embedding, and configuring QPU parameters to optimize performance.

A recent update has restructured and expanded this guide and made its techniques more widely accessible by adding Ocean code examples for many that were previously described only through mathematical formulation.

Japanese Translation of Leap Cloud Subscription Agreement: Japan

A Japanese translation of the Leap Cloud Subscription Agreement for Japan is available for download at Subscription Agreement: Japan.

The official legal document is the English language version of the Agreement.

2021-03-24 Leap Release

New Working Graph for Backup Advantage System

The backup Advantage system—renamed to Advantage_system3.2—has a new working graph.

The anneal schedule for Advantage_system3.2 is identical to the previous Advantage_system3.1 schedule.

2021-03-10 Leap Release

Downloadable Privacy Policy and Terms & Conditions

The Leap Privacy Policy and Terms and Conditions are now available for download as PDFs here:

2021-02-22 Leap Release

Leap Expands to Singapore

As of February 23, 2021, users from Singapore who are interested in real-time access to a commercial quantum computer can sign up for the Leap™ quantum cloud service. This expansion brings the total number of supported countries in North America, Europe and Asia-Pacific to 38.

2021-02-10 Leap Release

Deprecated Timing Fields Removed from Solver API

In release notes 2.4 in 2016, the names of the four timing fields shown in the table below were reported as being deprecated and the Solver Computation Time guide was updated to show the replacement field names. From this release, the old field names are no longer supported in the Solver API. If you have any code that is still using the old names, please update to the new ones.

Table 77 Discontinued timing fields in SAPI

Discontinued Name

New Name

total_real_time

qpu_access_time

run_time_chip

qpu_sampling_time

anneal_time_per_run

qpu_anneal_time_per_sample

readout_time_per_run

qpu_readout_time_per_sample

2021-01-27 Leap Release

Removed Statistics Panel on Leap’s Dashboard

The Stats panel, which showed the status of a quantum computer (temperature, number of qubits, etc.) is removed. You can view information about solvers by clicking on the solver name.

Assign Problem Labels

You can now assign labels to the problems you submit to D-Wave solvers. Labels are strings that have meaning to you or are generated by your application, which can help you identify your problem submission. The Problem Status panel displays the problem label by default; you can return to displaying problem IDs by clicking the settings icon beside the Problem Label heading. Problems without labels are displayed with <unlabeled> in the Problem Label column. This example submits a simple problem and reads the label in the returned response.

>>> from dwave.system import DWaveSampler, EmbeddingComposite
>>> sampler = EmbeddingComposite(DWaveSampler())
>>> sampleset = sampler.sample_ising({}, {('q1', 'q2'): -1}, label="Simple Ising problem")
>>> sampleset.info['problem_label']
'Simple Ising problem'

The system-generated problem ID remains the unique identifier for a problem.

2021-01-13 Leap Release

Terms and Conditions for Japanese Users of Leap

Terms and conditions for Japanese users of Leap are here: Leap Cloud Subscription Agreement: Japan.

2020-12-16 Leap Release

User Statistics Available on Leap’s Dashboard

Leap’s dashboard now lets you view and download your problem-submission statistics for Leap solvers.

_images/leap_site_user_stats.png

Fig. 125 User statistics panel in Leap.

2020-12-04 Leap Release

Problem Details Available on Leap’s Dashboard

You can now see detailed information about problems that you have submitted to Leap solvers. You can also search and filter the list of problems and cancel any pending ones (problems that are canceled before they complete do not use any solver access time).

_images/leap_site_problems.png

Fig. 126 Problem-Status panel in Leap.

Multiple-Project Support

This release enhances support for users in multiple projects. For users with access to multiple projects, Leap now displays information for the user’s active project; this includes the name of the project, amount of solver access time remaining in the current period, amount of time used, available solvers, API token used to connect to the solvers, and list of problems submitted. To switch which project is currently active, click the username on the top right of the Leap dashboard and select Projects. Any change to the active project also affects IDE workspaces. Be aware that any problem submitted, including those via Leap’s animated demos, will deduct time from the active project.

_images/leap_site_mps_dropdown_menu.png

Fig. 127 Changing active projects from the Dashboard.

While in an IDE workspace, you can use the leapide workspace command to see which project the workspace is pinned to.

Leap IDE /workspace/antenna-selection $ leapide workspace
Workspace ID: abc12345-1234-1a2b-3c4d5-123456789012
Project: Developer (id=123, code=DEV)
Leap IDE /workspace/antenna-selection $

The IDE periodically imports your API token from Leap. If you reset your token on the Leap dashboard, your new token is automatically updated in the IDE within a minute.

Every workspace you create is pinned to a project in your account. If your account has access to multiple projects, the IDE imports the API token for the project pinned to the current workspace. You can override the imported API token by setting the DWAVE_API_TOKEN environment variable in the IDE. (The imported token is set as in a system-wide configuration file; configuration priority is described in Ocean’s cloud-client documentation.) If you currently have manually set DWAVE_API_TOKEN environment variables in your workspace, consider deleting these to benefit from automatic imports.

Note

Only users in multiple projects will see this change. Self-signed up users with free Leap accounts only have access to the Developers project, which sets their usage quota and API tokens.

2020-11-18 Leap Release

Solver Details Available on Leap’s Dashboard

The properties of a solver and the user parameters that it accepts are available on the Leap™ dashboard. From the list of supported solvers, simply click a solver name to view these details. For more information on solver properties and parameters, see Solver Properties and Parameters Reference.

Some properties, such as the qubits property for a QPU solver, are Python dicts; these can be copied to your clipboard with a single click.

2020-10-21 Leap Release

SAPI Returns Correct Estimate of Solver Load

This release fixes the returned value for a solver’s recent average load, avg_load. When queried for a solver, SAPI returns estimates of how busy each solver was in the recent past, which enables client software such as Ocean’s cloud-client to prefer solvers that are less busy. You can see this estimate, provided at the time of selection, for an Ocean sampler:

>>> from dwave.system import DWaveSampler
>>> sampler = DWaveSampler()
>>> sampler.solver.avg_load
0.04

An error introduced in late 2019 caused SAPI to always return a value of 1.0.

2020-10-07 Leap Release

Hybrid Solver Service: DQM Solver

Note

This section was revised on June 16, 2021 to account for a software deployment in February that made the following updates:

  • The maximum_number_of_biases property, which sets the maximum number of biases, both linear and quadratic in total, accepted by the solver, was increased from 2 to 3 billion.

  • The maximum_number_of_variables property, which sets the maximum number of problem variables accepted by the solver, was reduced from 5,000 to 3,000.

The second paragraph below, which previously stated that the solver accepts problems with up to 5,000 variables and 2 billion biases, now contains the revised numbers 3,000 variables and 3 billion biases.

Leap 2 introduced the Leap™ hybrid solver service (HSS), which provides cloud-based quantum-classical hybrid solvers. These hybrid solvers, which implement state-of-the art classical algorithms together with intelligent allocation of the quantum processing unit (QPU) to parts of the problem where it benefits most, are designed to accommodate even very large problems.

Until this release, you could submit problems formulated as arbitrarily structured binary quadratic models (BQMs). This release introduces a discrete quadratic model (DQM) solver for problems with variables that that represent a set of values such as {red, green, blue, yellow} or {3.2, 67}. The first online DQM solver is hybrid_discrete_quadratic_model_v1. It accepts problems with up to 3,000 discrete variables, each of which can represent sets of up to 10,000 values, and 3 billion total linear plus quadratic biases (values assigned to both nodes and edges of the graph representing your problem).

Submit problems to the hybrid DQM solver as you would submit any BQM-formulated problem; in Ocean software use dwave-system tool’s LeapHybridDQMSampler.

For details on the solver, see Using Leap’s Hybrid Solvers.

2020-09-29 Leap Release: Advantage

Advantage™ General Availability

With this release, D-Wave’s new quantum computer, Advantage, becomes generally available to users with Leap and Amazon Braket accounts.

Advantage is the first and only quantum system designed for business and is the most powerful and connected commercial quantum computer in the world. With more than 5000 qubits and 35,000 couplers, Advantage gives users the ability to solve larger, more complex problems, both directly on the quantum processing unit (QPU) and indirectly by using Leap’s hybrid solvers, and drive real-world value for their businesses.

Advantage QPUs are named Advantage_system<x.y>, with x numbering solver (D-Wave system) resources5 and y possibly incrementing on updates such as newer calibrations; for example, the first online QPU is Advantage_system1.1 with backup provided by Advantage_system2.1.

5

Because Ocean software provides Appendix: Benefits of Postprocessing tools such as dwave-greedy in lieu of online (server-side) postprocessing, Virtual Full-Yield Chip Solver (VFYC) resources are not supported for the Advantage.

You can learn about the Advantage QPU’s Pegasus topology in the Getting Started with D-Wave Solvers guide and in the new Exploring the Pegasus Topology Jupyter Notebook, which also demonstrates relevant Ocean tools and gives an example of setting different chain strengths6 for problems submitted to Advantage and D-Wave 2000Q QPUs.

6

When running on the Advantage problems previously configured for a D-Wave 2000Q, you should adjust the chain_strength parameter because chains are typically shorter on the Advantage. For an example, see Using the Problem Inspector, which uses Ocean’s problem inspector tool to illustrate the benefit of using an appropriate chain strength.

By default, if you do not specify selection criteria for a QPU, Ocean gives preference to Advantage over D-Wave 2000Q solvers7.

7

You can explicitly select a D-Wave 2000Q solver; for example, sampler = EmbeddingComposite(DWaveSampler(solver={'topology__type': 'chimera'})).

Leap’s Hybrid Solvers: Enhanced BQM Solver

Hybrid portfolio solvers, which in parallel to QPU processing run a variety of classical algorithms, are suited to a wide range of binary quadratic model (BQM) problems.

D-Wave’s hybrid solver service released its first hybrid portfolio solver, hybrid_v1, on February 26. That solver accepts problems of up to 10,000 variables and makes use of the D-Wave 2000Q for quantum acceleration.

This release supports an enhanced version of this solver, hybrid_binary_quadratic_model_version2, which uses stronger algorithms, exploits the more powerful Advantage QPU, and accepts larger problems. You can now submit problems with up to 1 million variables, or 200 million total linear plus quadratic biases (values assigned to both nodes and edges of the graph representing your problem).

_images/hss_bqm_v1_vs_v2_from_pdf.png

Fig. 128 Problem size comparison: hybrid_binary_quadratic_model_version2 versus hybrid_v1.

For more information, see Technical Report 4-1048A-A.

2020-08-12 Amazon Braket Release

Access to D-Wave Quantum Computers via Amazon Braket

Access to D-Wave quantum computers is now also possible through Amazon Braket, a fully managed Amazon Web Services (AWS) service.

2020-07-29 Leap Release

Documentation Enhancement: Pegasus

This release updates the system documentation with descriptions of the new QPU topology, Pegasus, in advance of the upcoming release of D-Wave’s new Advantage™ quantum computer.

As of July 2020, users do not yet have access to an Advantage system. However, if you wish to familiarize yourself with the new topology, see the chapter on QPU topologies in Getting Started with D-Wave Solvers. See also the Pegasus functionality of Ocean tools under dwave_networkx.

Qubist Display of Problems Status

This release updates the presentation of the status of submitted problems in the Qubist user interface: by default, problems from the last day are displayed. Previously results were not filtered by date.

2020-07-15 Leap Release

Leap Expands to India and Australia

As of July 20 2020, users from India and Australia who are interested in real-time access to a commercial quantum computer can sign up for the Leap™ quantum cloud service. This expansion brings the total number of supported countries in North America, Europe and Asia-Pacific to 37.

Access Leap™ here: https://cloud.dwavesys.com/leap.

Project Managers Can Now Administer Quota

Customers with a D-Wave “project manager” role for the systems used by their organization can now administer their own project’s user quota without having to go through D-Wave Customer Support. Project managers can manage quota via the Qubist user interface: select Admin > Manage Quota to do so.

2020-06-17 Leap Release

Hybrid Solver Service: Increased Problem Size

This release increases the maximum size of problems you can upload to the Leap™ hybrid solver service (HSS) from 2 GB to 40 GB.

Note for users of the hybrid_v1 solver: this change does not enable increases to problem size for this solver, which continues to accept problems of up to 10,000 variables.

For uploading large problems in in multiple parts, see SAPI REST Developer Guide.

2020-06-03 Leap Release

SAPI Sets Default Timing Information

This release sets default values of zero (0) in all timing fields returned from a D-Wave system for non-executed problems; for example, an Ising problem with empty input fields for both \(h\) and \(J\). Previously, SAPI returned an empty dict.

2020-02-26 Leap Release: Leap 2

Hybrid Solver Service

Leap 2 introduces the Leap™ hybrid solver service (HSS), which includes cloud-based quantum-classical hybrid solvers to which you can submit problems formulated as arbitrarily structured binary quadratic models (BQMs). These hybrid solvers, which implement state-of-the art classical algorithms together with intelligent allocation of the quantum processing unit (QPU) to parts of the problem where it benefits most, are designed to accommodate even very large problems. This first release of the HSS includes the hybrid_v1 solver that accepts problems of up to 10,000 variables. It is a portfolio solver, meaning that in parallel to QPU processing it runs a variety of classical algorithms, making it suited to a wide range of problems.

Submit problems to the hybrid solver as you would submit any BQM-formulated problem; from Ocean software’s dwave-system tool, use the new LeapHybridSampler.

See the Structural Imbalance in a Social Network example in the Ocean software documentation.

Online Integrated Developer Environment

Leap 2 introduces a new online integrated developer environment (IDE) as part of Leap. The Leap IDE provides a ready-to-code environment in the cloud for Python development. Accessible from your browser, it is configured with the latest Ocean SDK and includes the new D-Wave problem inspector and standard Python debugging tools. Seamless GitHub integration means that developers can easily access D-Wave’s latest code examples, develop quantum applications, and contribute to the Ocean tools from within the IDE. Powered by gitpod.io, the Leap IDE is customizable via a Docker file.

Problem Inspector

Leap 2 introduces a tool for visualizing problems submitted to, and answers received from, a D-Wave structured solver such as a D-Wave 2000Q quantum computer.

dwave-inspector provides a graphic interface for examining D-Wave quantum computers’ problems and answers. The D-Wave system solves problems formulated as BQMs that are mapped to its qubits in a process called minor-embedding. Because the way you choose to minor-embed a problem (the mapping and related parameters) affects solution quality, it can be helpful to see it.

See the Using the Problem Inspector example in the Ocean software documentation.

Integrated Examples

Leap 2 introduces a D-Wave code examples GitHub repository and its search page on the Leap website. This collection of examples already contains over a dozen examples, including examples of factoring, graph problems, feature selection, and more. The new page on the Leap website enables you to filter the examples by tags such as problem type, industry, and tags.

New Subscription Options

Leap 2 adds new Leap subscription options that enable you to upgrade your account for additional time in blocks that suit your need and budget. With the introduction of Hybrid Solver Service, subscriptions now provide access to D-Wave’s hybrid solvers as well as its QPUs.

Documentation Enhancements

Leap 2 updates the following system documents:

The online system documentation now includes a “Using Leap’s Hybrid Solvers” section.


2020-12-11 Leap Release

New Solver Property: category

This release introduces a new solver property, category, that identifies the solver type; for example, qpu.

New Solver Property: quota_conversion_rate

This release introduces a new solver property, quota_conversion_rate, so you can see the rate at which a particular solver consumes user or project quota. Some solver types might consume quota at different rates.


2020-11-27 Leap Release

New Jupyter Notebook: Hybrid Computing

Try out the new Hybrid Computing Jupyter Notebook, which demonstrates how you can apply dwave-hybrid solvers to your problem, create hybrid workflows, and develop custom hybrid components.

Jupyter Notebooks are available online through Leap.


2019-08-07 Leap Release

More Flexible Anneal Schedules Now Possible

For the online systems, this release introduces more flexible parameters for generating anneal schedules. Specifically, you can now create an anneal schedule with up to 12 points in its waveform (the previous configured maximum was 4), and the annealing slope range is expanded to -1.0 to 1.0 (the previous configured range was 0.0 to 1.0). Furthermore, the anneal fractions need not increase monotonically, which means that sawtooth patterns are possible.

For more information on modifying the default anneal schedule, see QPU Solver Datasheet.


2019-06-26 Leap Release

General Availability of D-Wave Hybrid

D-Wave Hybrid is now part of the Ocean SDK. D-Wave Hybrid provides a simple, open-source hybrid workflow platform for building and running quantum-classical hybrid applications.

Download the Ocean SDK

New Jupyter Notebook: Feature Selection

Try out the new Feature Selection Jupyter Notebook, which uses a hybrid sampler to showcase a machine learning technique. Jupyter Notebooks are available online through Leap.


2019-04-01 Leap Release

New Solver Property: tags

This release introduces a new solver property, tags, that may hold attributes about a solver that you can use to have a client program choose one solver over another.

For example, the following attribute identifies a solver as lower-noise:

"tags": ["lower_noise"]

2019-03-06 Leap Release

Time-Dependent Gain in Hamiltonian Biases

This release increases user control of the Hamiltonian that represents the D-Wave system’s quantum anneal by introducing a time-dependent gain on its linear coefficients.

The h_gain_schedule parameter described in the Solver Properties and Parameters Reference guide enables users to specify the \(g(t)\) function in,

\begin{equation} {\cal H}_{ising} = - \frac{A({s})}{2} \left(\sum_i {\hat\sigma_{x}^{(i)}}\right) + \frac{B({s})}{2} \left(\sum_{i} g(t) h_i {\hat\sigma_{z}^{(i)}} + \sum_{i>j} J_{i,j} {\hat\sigma_{z}^{(i)}} {\hat\sigma_{z}^{(j)}}\right) \end{equation}

where \({\hat\sigma_{x,z}^{(i)}}\) are Pauli matrices operating on a qubit \(q_i\) (the quantum one-dimensional Ising spin) and \(h_i\) and \(J_{i,j}\) the qubit biases and coupling strengths.

Currently this feature is used experimentally for a form of material simulation described in http://science.sciencemag.org/content/361/6398/162.


2018-10-02 Leap Release

Leap™ Launch

With this release, D-Wave launches Leap™, our new quantum cloud service. Access it here: https://cloud.dwavesys.com/leap.

Leap works best on the latest version of Chrome or Safari, on desktops, laptops, and tablets.


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  • The legacy release notes, published prior to April 2020, and delivered to users via D-Wave’s old web UI known as “Qubist,” are here: pdf.

  • Features introduced before October 2018 are not listed here.