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Port a Qiskit circuit to CUDA-Q v1.0.0

Use this resource to port a quantum circuit from another framework to a CUDA-Q kernel while keeping the algorithm

New

  • 523 downloads
  • 102 likes
  • 220 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install quantum-circuit-port-to-cudaq

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent reads the source code, rewrites it as a framework-free CUDA-Q Python kernel, then compares results at small sizes. It reports the CUDA-Q limits that cannot be worked around.

Mostly picked by

Updated November 2, 2026

Card for the “Port a Qiskit circuit to CUDA-Q” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md : porting method and core rules
  • references/porting-reference.md : framework mapping
  • evals/evals.json : evaluation cases for the skill

Good fit for

  • You have a Qiskit program to run on CUDA-Q
  • You want to check that a port gives the same results as the original

Not for

    Tags

    • cuda-q
    • qiskit
    • porting
    • quantum circuit
    • validation

    About

    You say

    “Port this Qiskit circuit to a CUDA-Q kernel and compare results on four qubits.”

    Card for the “Port a Qiskit circuit to CUDA-Q” skill

    Skill published by CUDA-Q Team <cuda-quantum@nvidia.com> under the Apache-2.0 license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to port a quantum circuit from another framework to a CUDA-Q kernel while keeping the algorithm
    3. Review and adjust the result

    Content preview

    Files

    • BENCHMARK.md7.7 KB
    • evals/evals.json6.4 KB
    • LICENSE11.3 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/porting-reference.md11.1 KB
    • skill-card.md4 KB
    • SKILL.md7.4 KB
    • skill.oms.sig4.7 KB

    Origin and licence

    Listed unmodified

    Author
    CUDA-Q Team <cuda-quantum@nvidia.com>
    Source
    github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/cudaq-importing
    Licence
    Apache-2.0

    Notice

    « cudaq-importing » (CUDA-Q Team <cuda-quantum@nvidia.com>, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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