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Variational quantum circuits and quantum ML v1.0.0

Use this resource to build and optimize variational quantum circuits

New

  • 355 downloads
  • 246 likes
  • 107 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install variational-quantum-circuits

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 writes the parameterized circuit, computes gradients and optimizes parameters, then checks results on a simulator before moving to other hardware. You get PennyLane code and the checks to run.

Mostly picked by

Updated November 2, 2026

Card for the “Variational quantum circuits and quantum ML” skill

Details

Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md: use cases, installation, workflow and quick start
  • references/: advanced features, devices, optimization, quantum chemistry and quantum ML

Good fit for

  • You want a hybrid quantum-classical model in PyTorch
  • You estimate a molecular energy with VQE

Not for

    Tags

    • PennyLane
    • VQE
    • quantum

    About

    You say

    “Write a two-qubit variational circuit and optimize its parameters to minimize an energy.”

    Card for the “Variational quantum circuits and quantum ML” skill

    Skill published by k-dense-ai 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 build and optimize variational quantum circuits
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/advanced_features.md7.9 KB
    • references/devices_backends.md9 KB
    • references/getting_started.md4.1 KB
    • references/optimization.md6.9 KB
    • references/quantum_chemistry.md7.6 KB
    • references/quantum_circuits.md5.1 KB
    • references/quantum_ml.md6.6 KB
    • SKILL.md7.2 KB

    Origin and licence

    Listed unmodified

    Author
    k-dense-ai
    Source
    github.com/k-dense-ai/scientific-agent-skills/tree/5f2bc0341354fd5590aef76a533ada1e1e5b4e62/skills/pennylane
    Licence
    Apache-2.0

    Notice

    « pennylane » (k-dense-ai, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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