Pyqrack

There is no change to the binaries or Python scripts in this release: the only change is picking the appropriate wheel label for the Mac M2 build.

SHA-256 sums:
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c861d119b0762f317d5cb9d8cb705a9a23e9cc573a1a8590d1e402ac4dd6e5b2 pyqrack-1.24.6.tar.gz

This release improves and debugs `QBdtHybrid`. Additionally, this is the first release of PyQrack that uses Qrack v9 API, corresponding to new build targets.

SHA-256 sums:
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fabdae8b30faec68f9d1df3ea0deb1a33f7585ad7d34b18e9cc0093ecce1cd10 pyqrack-1.24.1.tar.gz

While we've tried various "hybridizations" of quantum binary decision diagrams (QBDD) with state vector simulation and other methods in the past, they as of yet have not given any compelling practical advantages in general use cases, as best the Qrack team can assess.

Trying a slightly different approach with the new QBdtHybrid, this might remain the case, like for the quantum Fourier transform or random circuit sampling. However, holistic integration with the overall "layer stack" seems significantly improved, with this approach, and special-case advantages might have improved. (We still need to collect additional benchmark data, to test this.)

File SHA-1 sums:
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This patch release debugs `QUnitMulti` for heterogeneous OpenCL devices. **Note that this is the first ever release with CMake `-DUINTPOW=5` option, hence you will need to recompile your OpenCL kernels, if you use "pre-compilation."** `-DUINTPOW=5` limits `QPager` "page" width to 31 qubits or less, but this is literally larger than the maximum allocation segment of an A100 GPU, and this has no impact on multi-GPU scaling, hence there should be no new limitations so long as environment variable `QRACK_MAX_PAGE_QB` is set to `31` or less, (and most systems, including the A100, will typically want to set this variable even _lower._)

With this release, interoperability between NVIDIA GPU and Intel HD integrated graphics can offer significant speed advantages on quantum volume circuits, for example. For a gaming laptop with two OpenCL devices, an Intel HD (device number `0`) and an RTX 3080 (device number `1`), here is an example of how the environment variable might be set:

export QRACK_OCL_DEFAULT_DEVICE=1
export QRACK_MAX_PAGE_QB=27
export QRACK_QUNITMULTI_DEVICES=1,0
export QRACK_QUNITMULTI_DEVICES_MAX_QB=-1,15
export QRACK_QPAGER_DEVICES=8.1,24.0
export QRACK_QPAGER_DEVICES_HOST_POINTER=8.0,24.1
export QRACK_MAX_ALLOC_MB=24576,16108
export QRACK_MAX_PAGING_QB=32
export QRACK_MAX_CPU_QB=32
export QRACK_QTENSORNETWORK_THRESHOLD_QB=32
These commented variables might also be tuned for performance and approximation
export QRACK_PSTRIDEPOW=11
export QRACK_QUNIT_SEPARABILITY_THRESHOLD=0.00001
export QRACK_QBDT_SEPARABILITY_THRESHOLD=0.00001
export QRACK_NONCLIFFORD_ROUNDING_THRESHOLD=1


File SHA-1 sums:
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fc60129a0c20be898469076a89e146ef919c3553 pyqrack-1.23.1.tar.gz

This feature release adds the `QRACK_QUNITMULTI_DEVICES_MAX_QB` environment variable. Per device, as listed and ordered in `QRACK_QUNITMULTI_DEVICES`, this new variable allows the user to specify a maximum subsystem qubit width, above which no larger subsystem will be allocated on the particular device. This is particularly useful for combining OpenCL CPUs with OpenCL GPUs and other accelerators, since CPUs can give a significant advantage but are best suited for lower parallelism widths than GPUs.

File SHA-1 sums:
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a40990c51eae76d66a6c84fbff792d92271fc444 pyqrack-1.23.0.tar.gz

QrackCircuit` now exposes a `bool` constructor options that, if `true`, only "simplifies" Clifford-with-Clifford and non-Clifford-with-non-Clifford gates, but not Clifford-with-non-Clifford. `QTensorNetwork` automatically leverages this option when `QStabilizerHybrid` is in use, as in default "layer stack" case. (Some circuits still might complete more efficiently without `QStabilizerHybrid`.)

File SHA-1 sums:
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