Skip to main content

Ocean utilities to support advanced QPU prototype features.

Project description

Ocean utilities to support advanced QPU prototype features.

These utilities are subject to change without notification at any time.

Some QPU solvers support experimental features used for advanced research. Not all accounts have access to such research quantum computers.

Installation

Installation from PyPI:

pip install dwave-experimental

To install the latest version from source (available on GitHub in dwavesystems/dwave-experimental repo):

pip install git+https://github.com/dwavesystems/dwave-experimental.git

Versioning

This project uses calendar versioning (CalVer) to indicate the release timeline, following the format YYYY.MM.DD or YYYY.MM, depending on the release cycle.

⚠️ Note: Backward compatibility between versions is not guaranteed. Breaking changes may occur at any time, even between minor version increments.

We recommend pinning specific versions in your dependencies.

License

Released under the Apache License 2.0. See LICENSE file.

Contributing

Please follow Ocean’s contributing guide.

Release Notes

We use reno to manage release notes.

See reno’s user guide for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dwave_experimental-2026.6.23.tar.gz (67.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dwave_experimental-2026.6.23-py3-none-any.whl (58.0 kB view details)

Uploaded Python 3

File details

Details for the file dwave_experimental-2026.6.23.tar.gz.

File metadata

  • Download URL: dwave_experimental-2026.6.23.tar.gz
  • Upload date:
  • Size: 67.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.13

File hashes

Hashes for dwave_experimental-2026.6.23.tar.gz
Algorithm Hash digest
SHA256 736ab67f0dad22e5c9abfb34bbce9808ee213f09eb06f57c950e2c911cc08a21
MD5 13c5074b98f6ef632d4f88c56d88e319
BLAKE2b-256 1e403fe212319c2d81f2b2e1eabd45c3c3082f7b47854ffb1acd41bc399fffd4

See more details on using hashes here.

File details

Details for the file dwave_experimental-2026.6.23-py3-none-any.whl.

File metadata

File hashes

Hashes for dwave_experimental-2026.6.23-py3-none-any.whl
Algorithm Hash digest
SHA256 6c002b409b8fafc77a292f92905e03ba626e51ddd593fb73e4f5e6cc67027bab
MD5 aa0fb1ea2f39c7083732c9501e1918fb
BLAKE2b-256 5cb18e698c3cd70955b0634471a7586e260169a892fe19e729ac101600cdad52

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page