Pyqrack

The thread safety of `QCircuit` asynchronous dispatch (as in `QTensorNetwork`) has been debugged. Also, `GetUnitaryFidelity()` has been patched through `QTensorNetwork` from an underlying `QUnit` simulator instance.

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Next week, the development team will be presenting at IEEE Quantum Week 2023! This patch just brings `QTensorNetwork` more "neurotically" into line with Qrack code standards, as there will be no opportunity to publish another release until after the conference. (The release content is minor, but it does more closely follow our standards.)

(See you at IEEE Quantum Week 2023! Qrack is submission "254" in the "QSYS" track, presented on Thursday morning!)

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A new layer called `QTensorNetwork` has been added at "top" of the "optimal stack." This layer represents quantum state as a vector of sub-circuits and vector of measurement layers. The circuits are optimized "just-in-time" as the state evolves. When "physically observable" output values are requested by the user, they are calculated with recourse to the original default "layer stack" of simulators. Depending on circuit width, observable outputs might be calculated on the "past light cone" of single qubits.

`QTensorNetwork` does not implement `Compose()`, `Decompose()`, `Dispose()`, or the `QAlu` and `QParity` interfaces. (Some ALU operations are still available, through "decompositions" in `QInterface`. "Schmidt decomposition" API is not necessary internally for optimization in this case, since `QUnit` resides "below" `QTensorNetwork` in the suggested simulation layer stack.)

A follow-up release will implement NVIDIA's `cuTensorNet` API in CUDA builds of `QTensorNetwork`.

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**Full Changelog**: https://github.com/unitaryfund/pyqrack/compare/v1.20.10...v1.21.0

The changes in this release bring Qrack into line with its code standards. `constexpr`, a feature of C++11 and forward, is used to declare unitary 2x2 matrices known at compile time. Headers have also been reviewed, to fix any bugs and reduce redundant `include` statements.

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The code change in this release is extremely small. However, this small change makes a critical difference in execution time of "near-Clifford" benchmarks, motivating the release.

Previously, `CZ` (and "`AntiCZ`") gates always made a "phase-sensitive" check and update of overall `QStabilizer` phase factor. This can be extremely costly, and failure to limit the check to just the case where the "phase-sensitive" option is actually demanded was purely a matter of oversight. This change can reduce the execution time of 64/64(x2)/64(x2) width/depth/"magic" near-Clifford mirror circuit by over a day or more, to a matter of hours on one of our test machines.

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QStabilizerHybrid` creates, maintains, consumes, and "disposes" of gadget ancillae during "Clifford+RZ" gate set usage, but Qrack's `Dispose()` method (which basically performs the inverse of a Kronecker product on substates on throws away one presumably separable subsystem) isn't supported by `QStabilizer` for all separable state vectors, specifically when non-unitary measurement previously became involved in the circuit, ("mid-circuit").

During the collapse of ancillary qubits, for the approximate "rounding" near-Clifford mode, `Dispose()` can't be used as a general fix-all for management and disposal of collapsed `QStabilizer` ancilla qubits, (even if it can for state vector). However, we can still preserve "consumed" ancilla qubits in |0> state, and reuse them generally as new ancilla qubits, upon demand.

This release "debugs the algorithm" of `QStabilizeHybrid`, so as to observe this (previously known, but momentarily forgotten) limitation of `QStabilizer::Dispose()` (and `QStabilizer::Decompose()`). In effect, this limitation of `Dispose()` only seems to come into play for approximate methods, not "ideal" ones, (which makes sense, as the exact methods demand a stronger condition for ancilla mutual collapse relations, and might tend to leave the Clifford representation in the default set of state representations `QStabilizer::Dispose()` can handle, when no mid-circuit measurement is involved).

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