RuntimeError: Invalid combination of simulation method and device, "tensor_network" only supports "device=GPU"

[wakpoole]

Informations

• Qiskit Aer version: 0.17.0
• Python version:3.11
• Operating system:Linux
• Architecture: aarch_64

What is the current behavior? The code will work with method="statevector", Device="GPU" but fails when trying to use tensor_network

Steps to reproduce the problem The code

from qiskit import QuantumCircuit, transpile
from qiskit.circuit.library import QuantumVolume
from qiskit_aer import AerSimulator
qubit = 24 
circ = QuantumVolume(qubit, 10, seed=0)
sim = AerSimulator(method='tensor_network', device='GPU')
circ = transpile(circ, backend=sim)
circ.measure_all()
result = sim.run(circ,shots=100, blocking_enabled = True, blocking_qubits = 11).result()
print(result)

But I get this output

 srun --mpi=pmix --nodes=1 --ntasks-per-node=1 --gpus-per-task=1 python  bench.py

 

Traceback (most recent call last):

  File "/vast/home/ple/bench.py", line 14, in <module>

    result = sim.run(circ,shots=100, blocking_enabled = True, blocking_qubits = 11).result()

             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

  File "/vast/home/ple/.conda/envs/qiskit-aer-gpu-cuquantum-tn/lib/python3.11/site-packages/qiskit_aer/jobs/utils.py", line 38, in _wrapper

    return func(self, *args, **kwargs)

           ^^^^^^^^^^^^^^^^^^^^^^^^^^^

  File "/vast/home/ple/.conda/envs/qiskit-aer-gpu-cuquantum-tn/lib/python3.11/site-packages/qiskit_aer/jobs/aerjob.py", line 96, in result

    return self._future.result(timeout=timeout)

           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

  File "/vast/home/ple/.conda/envs/qiskit-aer-gpu-cuquantum-tn/lib/python3.11/concurrent/futures/_base.py", line 456, in result

    return self.__get_result()

           ^^^^^^^^^^^^^^^^^^^

  File "/vast/home/ple/.conda/envs/qiskit-aer-gpu-cuquantum-tn/lib/python3.11/concurrent/futures/_base.py", line 401, in __get_result

    raise self._exception

  File "/vast/home/ple/.conda/envs/qiskit-aer-gpu-cuquantum-tn/lib/python3.11/concurrent/futures/thread.py", line 58, in run

    result = self.fn(*self.args, **self.kwargs)

             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

  File "/vast/home/ple/.conda/envs/qiskit-aer-gpu-cuquantum-tn/lib/python3.11/site-packages/qiskit_aer/backends/aerbackend.py", line 474, in _execute_circuits_job

    output = self._execute_circuits(aer_circuits, noise_model, config)

             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

  File "/vast/home/ple/.conda/envs/qiskit-aer-gpu-cuquantum-tn/lib/python3.11/site-packages/qiskit_aer/backends/aer_simulator.py", line 906, in _execute_circuits

    ret = cpp_execute_circuits(self._controller, aer_circuits, noise_model, config)

          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

  File "/vast/home/ple/.conda/envs/qiskit-aer-gpu-cuquantum-tn/lib/python3.11/site-packages/qiskit_aer/backends/backend_utils.py", line 446, in cpp_execute_circuits

    return controller.execute(aer_circuits, noise_model, config)

           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

RuntimeError: Invalid combination of simulation method and device, "tensor_network" only supports "device=GPU"

srun: error: cn876: task 0: Exited with exit code 1

Here are my build steps

module load archiconda/0.2.3 

module load cuda/12.3.1 

module load mpich/3.4.3-gcc_11.2.0 

module load cuquantum

export CC=$AA64_HOME/11.2.0/bin/gcc

export CXX=$AA64_HOME/11.2.0/bin/g++

export MPI_PATH=$AA64_HOME/mpich/3.4.3-gcc_11.2.0

export CUDA_PATH=$AA64_HOME/packages/cuda/12.3.1

export CUQUANTUM_ROOT=$AA64_HOME/packages/cuquantum/

 

conda create -n qiskit-aer-gpu-cuquantum-tn python=3.11

conda activate qiskit-aer-gpu-cuquantum-tn

 

git clone https://github.com/Qiskit/qiskit-aer

cd qiskit-aer

pip install build

pip install -r requirements-dev.txt 

pip install pybind11

pip install "pybind11[global]"

 

python ./setup.py bdist_wheel -- -DCUQUANTUM_ROOT=$AA64_HOME/packages/cuquantum/ -DAER_CUDA_ARCH="9.0" -DAER_THRUST_CUDA=1 -DCMAKE_MPICXX_COMPILER=CC -DAER_THRUST_BACKEND=CUDA -DAER_MPI=true

 

pip install -U -c constraints.txt -r requirements-dev.txt dist/qiskit_aer-“***”.whl (replace ** with actual file name

What is the expected behavior?

It prints the result with method = 'statevector'

Suggested solutions

I have also tried -DAER_THRUST_CUDA=true and -DAER_CUTENSORNET=True and still doesn't work