Comments (1)
I managed to fix this just by updating numba. I am not sure if it was related to cuquantum at all.
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Related Issues (20)
- porting workflows repo
- Invalid NUMBA_NUM_THREADS while running with Numpy HOT 10
- Inverse of singular matrix in a quantum-to-classical channel in `numba` HOT 1
- Port poetry HOT 3
- Improvements for cuQuantum backend HOT 3
- Tests in Qibo repository fail with AMD ROCm HOT 4
- Dry run overhead is inconsistent between different environments HOT 5
- CPU fallback for probabilities is not working
- Probabilities do not sum to 1 HOT 2
- Kernel calls and thread synchronization HOT 1
- Multiqubit ops CPU performance HOT 4
- Single precision vs double precision performance HOT 19
- Multiqubit ops GPU performance HOT 1
- Error when installing from source HOT 6
- Wrong result when applying unitary matrix using cuquantum HOT 3
- Module not found during installation HOT 10
- FSWAP operator
- Cuquantum fails using the latest release HOT 2
- Add cuQuantum version in documentation HOT 3
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