WIP: leakage-aware gauge optimization #410
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…breakpoints in debugging
…ovms, and gates (as they appear in TorchOpModel._compute_circuit_outcome_probabilities)
…ding attempts to use that class
…lso SimpleMapForwardSimulator ...) that the dict returned by circuit.expand_instruments_and_separate_povm(...) has at most one element.
…s _compute_circuit_outcome_probabilities
…ting any circuit probabilities
…ce for differentiation yet)
…delmembers (needed to construct differentiable torch tensors). Have a new torch_base property of TPState objects. Need such a property for FullTPOp objects. Unclear how to implement for povms, since right now we`re bypassing the POVM abstraction and going directly into the effects abstraction of the circuit.
…n, rather than only through ConjugatedStatePOVMEffect objects associated with a SeparatePOVMCircuit
…so it allows require_grad=True.
…vn`t used it to speed up derivative computations yet.
…r before converting to a numpy array and writing to array_to_fill in TorchForwardSimulator._bulk_fill_probs_block.
…ted circuit probabilities. About to simplify torch_cache.
…plementation of TPPOVM.stateless_data and TPPOVM.torch_base. Remove unncessary line break in FullTPOp.
…rams from a dict to a tuple. Remove the torch_handle pattern in the Torchable class.
…torchfwdsim.py and torchable.py.
…StatelessModel.default_to_reverse_ad.
…(as opposed to an integration test)
Remove wildcard optimization code that called cvxopt directly
PyTorch-backed forward simulation
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