An error occurs due to insufficient memory when obtaining the QAOA optimization parameters

[Hawwwkim]

sampler = Sampler()
optimizer = COBYLA()
qaoa = QAOA(sampler, optimizer, reps=1)
result = qaoa.compute_minimum_eigenvalue(H)

I'm a beginner. I was originally going to optimize the β and γ parameters in the QAOA circuit. When I run this code with a constructed hamiltonian H, which required 24 qubits, it will then raise an error: MemoryError:Unable to allocate 256. MiB for an array with shape (16777216,) and data type complex128. Anyone can help me with working this out? Thank you.

[t-imamichi]

If you use qiskit.primitives.Sampler, you cannot run a large hamiltonian because the Sampler does the statevector simulation and requires a lot of memory. I suggest Aer Primitives for the use case. https://qiskit.github.io/qiskit-aer/apidocs/aer_primitives.html

[1ucian0]

This question seems to be answered by @t-imamichi so closing it. @Hawwwkim feel free to reopen or comment if that's not the case.