Pyqrack

The method `set_ncrp()` has been bound from the shared library interface, in `QrackSimulator`. This allows "near-Clifford rounding parameter" to be set by user code, without environment variables.

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At some point, PyZX parsing stopped working. The simple reason for this what that the operation-parsing method was referenced as a global function instead of a class method. This has been fixed.

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For homogeneous multi-device systems, it is usually no longer necessary to explicitly specify constructor or environment variable configuration of multi-GPU parallelism (for default optimal stack and in general, according to use case). The behavior of the existing configuration variables remains unchanged, otherwise.

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Qrack's longstanding strategy about "reactive separation" setting has been to optimize for (special case) _minimum memory footprint._ (We have generally and publicly advised, as in our white paper and its accompanying notebooks to exactly reproduce our reported benchmarks, that users should make a consciously-considered choice whether to override the setting for their case.) However, it is likely that most users, when they are not using SDRP, would prefer that Qrack optimizes by default for _minimum execution time._ As such, when SDRP is default ("ideal") value or lower, reactive separation setting now defaults to "off"; when SDRP is in use, reactive separation defaults to "on." After setting or changing SDRP value, the default behavior will re-engage, but it can then be overridden with the method to manually set reactive separation option. (This adds no new functionality versus many previous releases, but it takes the responsibility off the "lazy" user.)

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Besides finalizing the first release of the [QrackNet API](https://github.com/vm6502q/qrack.net/tree/main/api), this release fixes a minor bug in QBDD simulation.

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QUnit` already offered `GetUnitaryFidelity()` (or, in PyQrack, `get_unitary_fidelity()`) to automatically estimate overall fidelity reduction during SDRP algorithm application. Similarly, when using using Clifford+RZ gate set, `QStabilizerHybrid` can be instructed via `QRACK_NONCLIFFORD_ROUNDING_THRESHOLD` environment variable to round non-Clifford phase gates with smaller angles to "no-operation," but it wasn't immediately obvious how this should quantitatively affect overall fidelity. Now, under the assumption that non-Clifford phase gates will only be buffered at all when applied to states that are originally in maximal superposition, Qrack automatically calculates the effect on the single-qubit reduced density matrix:

fidelity *= 0.25 * norm(1.0 + phaseFac)

where `phaseFac` is the unit-norm phase factor of the gate "rounded away." This produces a maximum infidelity for a T gate, of 3/8 compounded infidelity. (Note that, if you're using variational RZ gates in an RCS benchmark, compounded infidelity per rounding event might typically be _much_ less than 3/8, and it's quite possible to set the rounding parameter to maximum yet still see approximately 1.0 fidelity at the end of the circuit.)

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