How does this skill help with quantum circuit optimization?

It provides specific guidance on transpilation stages, layout mapping, and optimization levels (0-3) to minimize two-qubit gate counts and improve fidelity on noisy hardware.

What is the difference between Sampler and Estimator in this skill?

The skill guides you to use the Sampler for bitstring measurements and probability distributions, while the Estimator is used for calculating the expectation values of observables, common in physics and chemistry.

Does it support quantum machine learning and chemistry?

Yes, it covers implementation patterns for Qiskit Machine Learning and Qiskit Nature, including VQE, VQC, and quantum kernels.

What is the Qiskit Claude Code skill?

It is a specialized capability that provides Claude with deep domain knowledge of the IBM Qiskit framework, allowing it to generate, debug, and optimize quantum computing code according to industry best practices.

Can I use this skill to run code on real quantum computers?

Yes, the skill includes patterns for authenticating with IBM Quantum Runtime and executing circuits on real hardware backends using Sampler and Estimator primitives.

Qiskit Quantum Computing

Name: Qiskit Quantum Computing
Author: Sologa

bySologa

データサイエンスとML

Develops, optimizes, and executes quantum circuits on IBM Quantum hardware and simulators using the industry-standard Qiskit framework.

概要

This skill equips Claude with specialized knowledge for the IBM Qiskit framework, enabling the creation of complex quantum circuits and their execution on enterprise-grade hardware. It provides domain-specific patterns for the entire quantum workflow—from mapping problems to circuits and transpiling for specific hardware topologies to executing via V2 Primitives and post-processing results. Whether you are implementing variational algorithms like VQE, conducting quantum chemistry research, or exploring quantum machine learning, this skill ensures your code follows IBM's best practices for error mitigation and performance optimization.

主な機能

Comprehensive quantum algorithm implementation for VQE, QAOA, and Grover's
0 GitHub stars
Integration patterns for IBM Quantum Runtime and cloud hardware
Automated visualization setup for circuits, Bloch spheres, and histograms
Expert guidance for Qiskit Sampler and Estimator V2 Primitives
Advanced circuit transpilation and optimization level management

ユースケース

Building and simulating variational quantum algorithms for chemistry or optimization
Optimizing quantum circuits for specific IBM hardware backend topologies
Implementing the four-step Qiskit Patterns workflow for enterprise quantum research

概要

主な機能

Comprehensive quantum algorithm implementation for VQE, QAOA, and Grover's
0 GitHub stars
Integration patterns for IBM Quantum Runtime and cloud hardware
Automated visualization setup for circuits, Bloch spheres, and histograms
Expert guidance for Qiskit Sampler and Estimator V2 Primitives
Advanced circuit transpilation and optimization level management

ユースケース

Building and simulating variational quantum algorithms for chemistry or optimization
Optimizing quantum circuits for specific IBM hardware backend topologies
Implementing the four-step Qiskit Patterns workflow for enterprise quantum research