Support multi-shot exact simulation backends using Sampler from cuTensorNet
#121
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PabloAndresCQ
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Marginal and Sampler from cuTensorNetSampler from cuTensorNet
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# Description - Refactors `CuTensorNetBackend` into `CuTensorNetStateBackend` which now uses the new `GeneralState`. - Introduces a new `CuTensorNetShotsBackend` for shot-based simulation. # Related issues Completes #121. # Checklist - [x] I have run the tests on a device with GPUs. - [x] I have performed a self-review of my code. - [x] I have commented hard-to-understand parts of my code. - [x] I have made corresponding changes to the public API documentation. - [x] I have added tests that prove my fix is effective or that my feature works. - [x] I have updated the changelog with any user-facing changes.
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Current backend implementation does not support multi-shot statistics. Instead, it requires the user to do each shot separately, incurring in the contraction cost for each shot.
When the user is only concern about the measurement statistics on a subset of the qubits, obtaining the reduced density matrix of the state on said qubits allows for efficient multi-shots (assuming few qubits are measured), and only incur in the cost of contraction once. CuTensorNet's high-level API provides a
create_marginalmethod to obtain said reduced density matrix. We should make use of this to provide a multi-shot backend.The text was updated successfully, but these errors were encountered: