integrated a new cuQuantum and Thrust GPU backend #386
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Note that this forces our cuQuantum backend to require its users to have a stream-ordered memory pool compatible GPU (which seems fair enough)
for converting between QuEST's interface and backend types (like Complex, ComplexMatrixN, and bitmasks) and cuQuantum's
Added all operators (like unitaries, sub-diagonal gates) which can be directly mapped to a cuQuantum calls. The cuQuantum calls are: - custatevecApplyMatrix - custatevecApplyPauliRotation - custatevecSwapIndexBits - custatevecApplyGeneralizedPermutationMatrix It appears that the remainder of QuEST's operators (decoherence channels, full-state diagonals, and phase functions) will need bespoke kernels
although we are missing imports to avoid git conflict: # include <thrust/sequence.h> # include <thrust/iterator/zip_iterator.h> # include <thrust/for_each.h>
Added all decoherence channels which can be directly mapped (without unacceptable performance damage) to a cuQuantum call. The cuQuantum calls are: - custatevecApplyMatrix - custatevecApplyGeneralizedPermutationMatrix and are called with matrices (some, diagonal) describing the channel superoperators. The remaining decoherence channels require linearly combining device vectors (may use Thrust), bespoke GPU kernels, or a clever decomposition of the channel (e.g. 2 qubit depolarising) into a sequence of cuStateVec calls
Changed several operators represented by diagonal matrices but previously effected as one-qubit general matrices, to instead be effected as diagonals (duh)
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