The output of apply_matrix_batched in cuQuantum Python is same as input about cuquantum

[ymagchi]

Hi @easonoob,
Thank you for sharing this.

Could you please confirm whether compute_expectations_on_pauli_basis itself returned expected values?
Also, it would be helpful for us if you could share your environment (by nvidia-smi).

[easonoob]

Hi @ymagchi, thank you for replying. The compute_expectations_on_pauli_basis returned the same as the input like other functions. I am using a GTX 1080 (maybe it is too old?).
nvidia-smi:

+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 530.41.03              Driver Version: 530.41.03    CUDA Version: 12.1     |
|-----------------------------------------+----------------------+----------------------+
| GPU  Name                  Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf            Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                                         |                      |               MIG M. |
|=========================================+======================+======================|
|   0  NVIDIA GeForce GTX 1080         Off| 00000000:03:00.0  On |                  N/A |
| 38%   40C    P2               41W / 180W|    434MiB /  8192MiB |      0%      Default |
|                                         |                      |                  N/A |
+-----------------------------------------+----------------------+----------------------+

[ymagchi]

Hi @easonoob,
Thank you for sharing the output.
GTX 1080 is based on Pascal architecture, which is not supported in cuQuantum SDK. NVIDIA GPU with Compute Capability >= 7.0 (e.g., Volta, Turing, Ampere, Ada, and Hopper) is required to obtain expected results.

[easonoob]

Ok, thanks for the information!