NVIDIA/cuda-quantum

Segmentation Error

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Describe the bug

When running a cudaq circuit (very simply, it could be a GHZ gate) with one GPU over 1,000,000 shots, you get a segmentation error. [default statevector simulation backend]

My workarounds: swap backend with tensortnet should work. However, for 1,000,000 shots, memory should be only approximately 366 KB, which apparently does not exceed the memory.

Steps to reproduce the bug

cudaq.set_target("nvidia")
Running the Cudaq circuit and sampling it for over 1,000,000 shots
image

Expected behavior

works exactly like the CPU taking longer time instead of segmentation error.

Is this a regression? If it is, put the last known working version (or commit) here.

Not a regression

Environment

  • CUDA Quantum version:12.2
  • Python version: python 3.10
  • C++ compiler:
  • Operating system: ubuntu 22.02

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