Optimize try_decompose() (2)

try_decompose() has been optimized for significant time complexity reduction in the case that the system is detected to be separable. (The development team highly suspects that this implementation is finally "pareto-optimal," in other words, not possible to fundamentally optimize further.)

(Since this version technically fixes an edge case bug introduced into the Qrack code by the last release, even though it is likely not exposed via pennylane-qrack, we will include a Mac OS 12 wheel build. Barring a bug fix in the next release, expect this to be the final Mac OS 12 release.)

Full Changelog:
unitaryfund/qrack@vm6502q.v9.12.0...vm6502q.v9.12.4
unitaryfund/pyqrack@v1.32.9...v1.32.10
v0.10.5...v0.10.6

sha1sum results:
83c4800c681f16e0d971bcf8c289fcdfd1fcc8df pennylane_qrack-0.10.6-py3-none-macosx_12_0_x86_64.whl
55e1854277565977d6d8893189d32a334d8eff98 pennylane_qrack-0.10.6-py3-none-macosx_13_0_x86_64.whl
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2bca8375e80f9eac1be4f561b996829b8d120827 pennylane_qrack-0.10.6-py3-none-manylinux_2_31_x86_64.whl
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25357b06827ad4dcd9891056ddd84d336791560a pennylane_qrack-0.10.6-py3-none-manylinux_2_39_x86_64.whl
351a0b86880ab2a04999975351383290313c7342 pennylane_qrack-0.10.6-py3-none-win_amd64.whl
d68f88561da4c049b42ed75dd859c6a83d237b2a pennylane_qrack-0.10.6.tar.gz

Debug OpenCL/CUDA Decompose()/Dispose(); optimize for CPU

In recent releases, a bug was introduced in OpenCL and CUDA based Decompose()/Dispose() when trying to calculate the phase angle of very small amplitudes. This has been fixed, and CPU-based simulation has been optimized.

WARNING: You must recompile any precompiled OpenCL kernels, after upgrading to this release.

(A Mac OS 12 wheel build is included since this is primarily a debugging release, but, as the OS version is deprecated, be prepared to lose Mac OS 12 support for any release forward of this version.)

Full Changelog:
unitaryfund/qrack@vm6502q.v9.11.12...vm6502q.v9.11.16
unitaryfund/pyqrack@v1.32.7...v1.32.8
v0.10.4...v0.10.5

sha1sum results:
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f90e9bded62ad7fa46ee4dfc2469ca87589d7269 pennylane_qrack-0.10.5-py3-none-macosx_13_0_x86_64.whl
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2f741ba467fff6109613677b473dbd3942d2979a pennylane_qrack-0.10.5-py3-none-manylinux_2_39_x86_64.whl
6dc0dc993780081979055707960a68dc76786219 pennylane_qrack-0.10.5-py3-none-win_amd64.whl
7f3350b9785a59b4bcf450fc6e8c41fea1fe9808 pennylane_qrack-0.10.5.tar.gz

Manually set self.shots on QrackDevice

self.shots always defaulted to 1 for the Python PennyLane back end. This release (since v0.10.3 on PyPi) manually sets self.shots to ensure the correct behavior when multiple shots are requested.

(Note that since Mac OS 12 is officially deprecated, we would continue to support it, since we retain the ability to build for it, except that brew deprecation of the OS has led to a very time-consuming build-from-source process for every dependency. Hence, this might be the last release of pennylane-qrack to officially offer a Mac OS 12 wheel.)

(Also note, the only difference between v0.10.3 on PyPi vs. v0.10.4, this release that skips a patch number on GitHub, is that a PennyLane deprecation warning has been fixed.)

Full Changelog: v0.10.2...v0.10.4

sha1sum results:
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f321288372eed69eef9d3e7937a62615e4f3d15b pennylane_qrack-0.10.4.tar.gz

PennyLane noisy mode is always "weak" simulation

Qrack noisy simulation mode categorically needs to be "weak" rather than "strong" simulation condition, in the sense that sampling always entails one full run of the unitary circuit and generating only a single shot, top-to-bottom for each shot requested, in any instance of a request for shots. This release ensures this to always be the case for Qrack noisy simulation with the Python-based PennyLane back end.

What's Changed

• Fix import in shots=None case by @cosenal in #25
• One-shot for noise in Python by @WrathfulSpatula in #26

New Contributors

• @cosenal made their first contribution in #25

Full Changelog: v0.10.1...v0.10.2

sha1sum results:
edcafaa4e9de5c83c8747541c62c73e921b62e71 pennylane_qrack-0.10.2-py3-none-macosx_12_0_x86_64.whl
0268d42c388e24f1e63be6b1c7aebdcc9b358337 pennylane_qrack-0.10.2-py3-none-macosx_13_0_x86_64.whl
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d08fcebcc46597ef890d1e5e2d9bb405fdc590d1 pennylane_qrack-0.10.2-py3-none-macosx_15_0_arm64.whl
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8b809532038d833bff31050fd599d55e22d2ccfa pennylane_qrack-0.10.2-py3-none-win_amd64.whl
4cb3f64a310e9bd428c5df347d57355c9786026d pennylane_qrack-0.10.2.tar.gz

SDRP/MPS correspondence base case

With all-to-all connectivity (but 0 bond dimension), SDRP (Schmidt decomposition rounding parameter) should reproduce the effective behavior of MPS (matrix product states) when the rounding parameter is set to 1 or greater: this release fixes the QUnit implementation to realize this theoretical expectation. (Disable QStabilizerHybrid layer with isStabilizerHybrid=False constructor parameter for QrackSimulator and set the rounding parameter >= 1 to see this behavior, but the loss of "hybrid stabilizer" optimization should not qualitatively hurt performance in this case.)

Full Changelog:
unitaryfund/qrack@vm6502q.v9.10.0...vm6502q.v9.10.1
unitaryfund/pyqrack@v1.31.0...v1.31.1
v0.10.0...v0.10.1

sha1sum results:
654cf6009394bf9a80c82de348db33ad55f37306 dist/pennylane_qrack-0.10.1-py3-none-macosx_12_0_x86_64.whl
70c34bc099fa4b0c85e227e9dedfb26c2346ea44 dist/pennylane_qrack-0.10.1-py3-none-macosx_13_0_x86_64.whl
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d0839bc0769c6aaf657d45fe7cf80828b7ac7297 dist/pennylane-qrack-0.10.1.tar.gz

Better sampling; noise constructor argument

Multi-shot measurement in QEngine was previously handled in a way that was technically not thread-safe for C++. This has been fixed, and QEngine sampling has been parallelized further.

isNoisy constructor argument has been replaced with noise float parameter, which enable noisy simulation if the parameter is greater than 0 and sets the simulator instance noise level to the value of the constructor parameter.

Full Changelog:
unitaryfund/qrack@vm6502q.v9.9.62...vm6502q.v9.10.0
unitaryfund/pyqrack@v1.30.31...v1.31.0
v0.9.8...v0.10.0

sha1sum results:
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5878b97b2d02ab65a6261c3300d10b334a7e7e7f pennylane_qrack-0.10.0-py3-none-macosx_13_0_x86_64.whl
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4a728e6556f280a16c4d3542f77e248d0258e336 pennylane_qrack-0.10.0.tar.gz

Debug QBDD high rounding

If QRACK_QBDT_SEPARABILITY_THRESHOLD were set too high, it would previously lead to segmentation faults. This release should allow the rounding parameter to be set almost arbitrarily high.

Full Changelog:
unitaryfund/qrack@vm6502q.v9.9.58...vm6502q.v9.9.62
unitaryfund/pyqrack@v1.30.30...v1.30.31
v0.9.7...v0.9.8

sha1sum results:
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05077026448317141e256a3687b61b01994c89cd pennylane_qrack-0.9.8-py3-none-macosx_13_0_x86_64.whl
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c74adaf7fadcdb54cca6079b30b44bb5170635f2 pennylane_qrack-0.9.8.tar.gz

Debug qml.device() constructor parameters

qml.device() constructor parameters were previously not passed to the Qrack Catalyst device back end. This has been fixed.

Full Changelog: v0.9.6...v0.9.7

sha1sum results:
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49c1a01a8aad54f4c2f68335c41b53d7e0ca8a74 pennylane_qrack-0.9.7-py3-none-macosx_13_0_x86_64.whl
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38895b193c77244a5b8dcc15729fea7604857168 pennylane_qrack-0.9.7-py3-none-win_amd64.whl
90d1c4dce70e12868c2d151f1a39c5fb2668dd2e pennylane_qrack-0.9.7.tar.gz

Debug QBDD sampling

This release fixes doubling-up of QBDD measurement sampling.

Full Changelog:
unitaryfund/qrack@vm6502q.v9.9.54...vm6502q.v9.9.58
unitaryfund/pyqrack@v1.30.29...v1.30.30
v0.9.5...v0.9.6

sha1sum results:
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9ea20dc2db2cc45aa8a86284125c087fb01b0fd2 pennylane_qrack-0.9.6-py3-none-macosx_13_0_x86_64.whl
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1404fc5662cdd7369abea3af27e53317bad4eb3f pennylane_qrack-0.9.6.tar.gz

QBDD optimization

A number of improvements have been made in QBDD simulation:

• PushStateVector() has more consistent flooring logic for very small contributions to overall state vector probability.
• Because QBDD gains little advantage from internal parallelism in most cases, internal parallelism in QBDD now defaults to OFF.
• If QBDD internal parallelism is off, then QTensorNetwork automatically parallelizes QBDD measurement sampling over shots

Full Changelog:
unitaryfund/qrack@vm6502q.v9.9.50...vm6502q.v9.9.54
unitaryfund/pyqrack@v1.30.28...v1.30.29
v0.9.4...v0.9.5

sha1sum results:
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