NVIDIA / NVIDIA/cuda-quantum

Request cost function to support costing quantinuum systems usage

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ecosystem enhancement stale-notified
Dominant language
C++
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Forks
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Avg merge
1d 22h
Merged PRs (30d)
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Description

Required prerequisites
  • Search the issue tracker to check if your feature has already been mentioned or rejected in other issues.
Describe the feature

The second item, CUDA-Q does not provide any utility to estimate Hardware Quantum Credits (HQCs). The current guidance is that customers run against the syntax checker and check the Nexus portal Quantinuum Systems Job tab.

The feature request is to add a function for quantinuum systems cudaq.quantinuum_cost(kernel: cudaq.kernel) -> float which submits a CUDA-Q kernel to a syntax checker (suffixed with SC, e.g., H1-1SC) and returns the HQC cost as a floating point number.

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First steps

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Research direction

Start by tracing the existing Quantinuum syntax-checker submission path and the Python CUDA-Q kernel API. Define how cudaq.quantinuum_cost(kernel: cudaq.kernel) selects the suffixed syntax-checker system and reports its HQC cost, then add coverage for the returned floating-point value and relevant submission failures.

Written by the indexing model from the issue text.

Assessment

Tech stack
cpp, python
Domain
backend-api-design, quantum-computing
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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