Pyqrack

This release cuts dead code from and optimizes `QBdt`. Further, phase-aware stabilizer has been debugged, including `QUnitClifford` optimizations. Minor style changes have been made, (to align with existing standards).

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**Full Changelog**: https://github.com/unitaryfund/pyqrack/compare/v1.20.0...v1.20.1

This release adds static and shared methods that generalize recent (Clifford+RZ) expectation value API methods to arbitrary `bitCapInt` and `real1_f` weights, specified by the user. (The weights are specified as |0> and |1> eigenvalues of each factorized qubit.)

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**Full Changelog**: https://github.com/unitaryfund/pyqrack/compare/v1.19.2...v1.20.0

This release improves the case coverage of `QStabilizerHybrid::CombineAncillae()`, for overall simplification.

"Weak sampling mode" seemed bugged and had no significant overall benefit, so it has been (at least temporarily) removed.

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In addition to a minor bug fix, `prob_perm_rdm()` has been optimized and gained a parameter to control whether buffered RZ gates are rounded down to no-operation from phase angles between -Pi/8 and Pi/8.

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**Full Changelog**: https://github.com/unitaryfund/pyqrack/compare/v1.19.1...v1.19.2

This release add the option to round `RZ` gadget buffers that have phase angles between -Pi/8 and Pi/8 to no-operation. (Phase angles outside the range -3Pi/8 to 3Pi/8 are similarly implicitly rounded to `S` or `IS` gates.) Also, a minor bug introduced in v1.19.0 in `QUnit::GetAmplitudeOrProb()` was fixed.

It's worth noting that if you're using mirror circuit tests and validation, like the Qrack developers are, this rounding behavior leads to optimistic bias on mirror circuit benchmarks. Instead of simply using the rounded methods with mirror circuits, one might estimate fidelity from some combination of the rounded and un-rounded results of `permutation_expectation_rdm()`.

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**Full Changelog**: https://github.com/unitaryfund/pyqrack/compare/v1.19.0...v1.19.1

A number of "reduced density matrix" expectation value calculation methods have been added to both the static and shared library API. The point of these methods, only relevant to Clifford+RZ stabilizer simulation, is that they trace out a "reduced density matrix" excluding ancillary qubits for non-Clifford phase gadgets, instead of fully incorporating the non-Clifford phase effects. This makes these methods very fast and very low-memory, but they constitute approximations to the actual expectation values, were non-Clifford effects fully included.

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**Full Changelog**: https://github.com/unitaryfund/pyqrack/compare/v1.18.6...v1.19.0