What is the difference between Sampler and Estimator primitives?

The Sampler is used to obtain bitstring distributions (ideal for optimization), while the Estimator computes expectation values of observables (ideal for chemistry and physics).

How do I optimize circuits for real hardware?

The skill provides patterns for using the transpile function with optimization levels 0-3 to map circuits to specific backend topologies and gate sets.

What hardware does the Qiskit skill support?

While optimized for IBM Quantum hardware, this skill also provides patterns for local simulators, IonQ, and Amazon Braket backends.

Does it support Qiskit Machine Learning or Chemistry libraries?

Yes, it provides implementation patterns for Qiskit Nature (chemistry), Qiskit ML, and Qiskit Optimization for domain-specific workloads.

Can this skill help with quantum error mitigation?

Yes, it includes guidance on using resilience levels and error mitigation strategies within the Qiskit Runtime environment.

Qiskit Quantum Framework

Name: Qiskit Quantum Framework
Author: x-cmd

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数据科学与机器学习

Builds, optimizes, and executes quantum circuits on IBM Quantum hardware and high-performance simulators using the world's most popular SDK.

The Qiskit skill empowers Claude to assist with the full quantum development lifecycle, from constructing complex circuits and performing hardware-aware transpilation to executing workloads on IBM Quantum hardware. It provides domain-specific guidance on using Qiskit Runtime primitives like Sampler and Estimator, implementing error mitigation strategies, and developing variational algorithms such as VQE and QAOA. Ideal for researchers and developers working on quantum chemistry, optimization, or machine learning, this skill ensures best practices for reducing gate counts and maximizing circuit fidelity on 100+ qubit systems.

主要功能

01Hardware-specific transpilation and multi-level optimization

02High-performance circuit construction and gate manipulation

03Qiskit Runtime Primitive integration (Sampler and Estimator V2)

04Quantum state and circuit visualization using Matplotlib and LaTeX

059 GitHub stars

06Comprehensive support for IBM Quantum hardware and local simulators

使用场景

01Developing and testing variational quantum algorithms for optimization and chemistry

02Optimizing quantum circuits to reduce error rates on noisy hardware

03Benchmarking quantum hardware performance and visualizing result distributions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add x-cmd/skill qiskit

For use in Claude.ai and ChatGPT

Download Skill