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Releases: dwavesystems/dwave-hybrid

0.6.15

22 Jan 19:46
1525836

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New Features

  • Add Python 3.14 support. See #308.

  • Add origin_embeddings as argument for LNLS reference example. See #309.

Bug Fixes

  • Fix exclude_dims incorrect enumeration. See #309.

Upgrade Notes

  • Drop support for Python 3.9. See #308.

0.6.14

26 Mar 11:30
abfcd83

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New Features

  • Restructure and update references for unified documentation. See #305.

0.6.13

03 Dec 17:02
5e58c3b

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New Features

  • Add Python 3.13 support. See #298.

  • Add support for zephyr lattices on zephyr solvers. Improve handling of unyielded edges, improving performance for lower yield processors. See #297.

Fixes

  • Switch to dwave-samplers. See #299.

  • Fix flaky and slow tests. See #300 and #301.

Upgrade Notes

  • Drop Python 3.8 support and refresh CI. #298.

  • Drop support for dimod<0.12 and dwave-systems<1.16. See #299 and #301.

0.6.12

11 Sep 16:53

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New Features

  • Add support for cubic lattice embeddings on Zephyr to make_origin_embedding. See #295.

Fixes

  • Remove ambiguous xrefs to reduce build warnings. See #294.
  • Improve cubic lattice embedding on Zephyr, strengthen tests. See #296.

0.6.11

01 Mar 16:22

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New Features

  • Add Python 3.12 support. See #289.

  • Add support for Kings graph in large neighborhood search. See #290.

  • Enable optional metadata tracking in LNLS (LatticeLNLS and LatticeLNLSSampler). See #292.

Fixes

  • Fix docs build. See #291.

  • Use more specific assertions and assertEqual. See #293.

Upgrade Notes

  • Drop Python 3.7 support and refresh CI. See #288.

0.6.10

23 Dec 12:35

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New Features

  • Add Python 3.11 support. See #285.

Fixes

  • Adapt SA concurrency test to new Neal default schedule. See #278.

  • Add lattice ref solver to docs. See #282.

  • Stop using deprecated numpy type aliases. See #283.

  • Fix async multiprocess queue logging test. See #286.

0.6.9

14 Sep 18:54
92e1b27

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New Features

  • Add LatticeLNLS reference workflow for larger-than-QPU lattice-structured problems.

  • Add LatticeLNLSSampler, a dimod-compatible hybrid decomposition sampler for problems of lattice structure.

  • Add make_origin_embeddings decomposer that creates optimal embeddings for a QPU or cubic lattice.

Fixes

  • Support unorderable variables in energy based decomposer (fixes #273).

0.6.8

29 Jun 13:23

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Fixes

  • Support all structured samplers in SubproblemCliqueEmbedder (#271)

0.6.7

09 May 19:17

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Fixes

  • Fixed State.from_sample to accept SampleSet. Fixed KerberosSampler to accept SampleSet for initial state (#268)

Upgrade Notes

  • Drop Python 3.6 support (#269)

0.6.6

14 Apr 22:13

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New Features

  • Support dimod<0.13.0 (#266)

Fixes

  • Docs refresh (#262)