qiskit

Qiskit is the world's most popular open-source quantum computing framework with 13M+ downloads. Build quantum circuits, optimize for hardware, execute on simulators or real quantum computers, and analyze results. Supports IBM Quantum (100+ qubit systems), IonQ, Amazon Braket, and other providers.

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---
name: qiskit
description: "Qiskit is the world's most popular open-source quantum computing framework with 13M+ downloads. Build quantum circuits, optimize for hardware, execute on simulators or real quantum computers, and analyze results. Supports IBM Quantum (100+ qubit systems), IonQ, Amazon Braket, and other providers."
license: Apache-2.0 license
metadata:
    skill-author: K-Dense Inc.
risk: unknown
source: community
---

# Qiskit

## Overview

Qiskit is the world's most popular open-s

How to Use

Recommended: Install to project (local)

mkdir -p .claude/skills
curl -o .claude/skills/qiskit.md \
  https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/qiskit/SKILL.md

Skill is scoped to this project only. Add .claude/skills/ to your .gitignoreif you don't want to commit it.

Alternative: Clone full repo

git clone https://github.com/sickn33/antigravity-awesome-skills

Then reference at skills/qiskit/SKILL.md

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Generate a new Rails project named $1 in the current directory. You may reference @CLAUDE.md for general guidance, though the guidance here takes precedence.

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by K-Dense-AI · claude-scientific-skills

Hardware-agnostic quantum ML framework with automatic differentiation. Use when training quantum circuits via gradients, building hybrid quantum-classical models, or needing device portability across IBM/Google/Rigetti/IonQ. Best for variational algorithms (VQE, QAOA), quantum neural networks, and integration with PyTorch/JAX/TensorFlow. For hardware-specific optimizations use qiskit (IBM) or cirq (Google); for open quantum systems use qutip.

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by K-Dense-AI · claude-scientific-skills