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@NoureldinYosri NoureldinYosri commented Mar 22, 2024

@NoureldinYosri NoureldinYosri requested review from a team, cduck and vtomole as code owners March 22, 2024 23:08
@NoureldinYosri NoureldinYosri requested a review from dabacon March 22, 2024 23:08
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codecov bot commented Mar 22, 2024

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 97.78%. Comparing base (f955650) to head (7856e81).
Report is 1 commits behind head on main.

❗ Current head 7856e81 differs from pull request most recent head 9aac89e. Consider uploading reports for the commit 9aac89e to get more accurate results

Additional details and impacted files
@@            Coverage Diff             @@
##             main    #6522      +/-   ##
==========================================
- Coverage   97.78%   97.78%   -0.01%     
==========================================
  Files        1107     1105       -2     
  Lines       95182    95113      -69     
==========================================
- Hits        93073    93004      -69     
  Misses       2109     2109              

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@daxfohl
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daxfohl commented Mar 23, 2024

I considered doing this in the past when the earlier issue came up, but was concerned it was like sweeping dirt under the rug. Does doing this then make other invariants start failing? I think it's worth looking at what other projects do here, and try to follow prior art on the subject.

@NoureldinYosri
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@daxfohl for state vector there is not an issue

for density matrix it doesn't work (I reverted my changes and restricted this PR to state vector simulation). the invariant of density matrix is that $Tr[\rho^2] \leq 1$ with equality if and only if $\rho$ is pure. I don't think we should implicitly add the computation $Tr[\rho^2]$

Comment on lines 127 to 128
ret = self._get_merged_sim_state().target_tensor.reshape(-1)
return ret / np.linalg.norm(ret)
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Can we raise UserWarning if abs(norm(state_vector) - 1) > np.sqrt(np.finfo(state_vector.dtype).eps)?

That should be sufficient for an accumulated round off from ~1/eps operations, but give some warning in case the state vector would be widely off.

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I think we should have some check here so we don't re-normalize incorrect state vector.

@NoureldinYosri NoureldinYosri enabled auto-merge (squash) April 2, 2024 23:53
@NoureldinYosri NoureldinYosri merged commit 45c5fa3 into main Apr 3, 2024
pavoljuhas added a commit to pavoljuhas/Cirq that referenced this pull request Apr 9, 2024
This fixes failure of

check/pytest -n0 cirq-core/cirq/circuits/circuit_test.py::test_final_state_vector

which happened because normalization of a state vector at `np.complex64`
precision can subtly increase the overall round-off error.

Follow up to quantumlib#6522 and quantumlib#6402
pavoljuhas added a commit that referenced this pull request Apr 10, 2024
This fixes failure of

check/pytest -n0 cirq-core/cirq/circuits/circuit_test.py::test_final_state_vector

which happened because normalization of a state vector at `np.complex64`
precision can subtly increase the overall round-off error.

Follow up to #6522 and #6402
jselig-rigetti pushed a commit to jselig-rigetti/Cirq that referenced this pull request May 28, 2024
jselig-rigetti pushed a commit to jselig-rigetti/Cirq that referenced this pull request May 28, 2024
…mlib#6556)

This fixes failure of

check/pytest -n0 cirq-core/cirq/circuits/circuit_test.py::test_final_state_vector

which happened because normalization of a state vector at `np.complex64`
precision can subtly increase the overall round-off error.

Follow up to quantumlib#6522 and quantumlib#6402
harry-phasecraft pushed a commit to PhaseCraft/Cirq that referenced this pull request Oct 31, 2024
harry-phasecraft pushed a commit to PhaseCraft/Cirq that referenced this pull request Oct 31, 2024
…mlib#6556)

This fixes failure of

check/pytest -n0 cirq-core/cirq/circuits/circuit_test.py::test_final_state_vector

which happened because normalization of a state vector at `np.complex64`
precision can subtly increase the overall round-off error.

Follow up to quantumlib#6522 and quantumlib#6402
@pavoljuhas pavoljuhas deleted the normalize_final_results branch January 22, 2025 07:30
BichengYing pushed a commit to BichengYing/Cirq that referenced this pull request Jun 20, 2025
…mlib#6556)

This fixes failure of

check/pytest -n0 cirq-core/cirq/circuits/circuit_test.py::test_final_state_vector

which happened because normalization of a state vector at `np.complex64`
precision can subtly increase the overall round-off error.

Follow up to quantumlib#6522 and quantumlib#6402
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3 participants