qiskit

Construct, optimize, and execute quantum circuits with Qiskit.

Updated Mar 10, 2026
One-click install
npx skills add https://github.com/felixboehm/biochem-allergy --skill qiskit-felixboehm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: qiskit
Source: https://github.com/felixboehm/biochem-allergy/tree/main/.claude/skills/qiskit
Command: npx skills add https://github.com/felixboehm/biochem-allergy --skill qiskit-felixboehm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive framework for developing, optimizing, and executing quantum computing algorithms on various hardware backends.

Core Features & Use Cases

  • Circuit Design: Create quantum circuits using a rich library of gates and operations.
  • Hardware Execution: Run circuits on simulators or real quantum hardware (IBM Quantum, IonQ, etc.).
  • Algorithm Implementation: Supports VQE, QAOA, Grover's, and more for optimization, chemistry, and ML.
  • Use Case: Develop and test a Variational Quantum Eigensolver (VQE) algorithm to find the ground state energy of a molecule, then execute it on IBM's quantum hardware.

Quick Start

Install Qiskit and run a simple Bell state circuit locally using the StatevectorSampler.

Frequently Asked Questions about qiskit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build and run quantum circuits on real quantum hardware?

You can build and run quantum circuits by constructing them with a library of gates and executing them on cloud-based quantum hardware. This framework integrates with IBM Quantum, IonQ, and Amazon Braket for hardware execution.

How do I implement the VQE algorithm to find a molecule's ground state energy?

To implement the VQE algorithm, you construct the quantum circuit and execute it on a simulator or hardware backend. This framework supports developing variational quantum eigensolvers for chemistry applications.

Can I use Qiskit to execute Grover's and QAOA algorithms on simulators?

Yes, you can use Qiskit to execute Grover's and QAOA algorithms on simulators. The framework supports algorithm implementation for optimization and machine learning, allowing local simulation before hardware execution.

What is the best way to optimize quantum circuits before execution on IBM Quantum?

The best way to optimize quantum circuits is using the framework's built-in optimization processes before execution. This ensures circuits are refined for hardware deployment on IBM Quantum and other cloud platforms.

Does this framework support running quantum algorithms on Amazon Braket and IonQ?

Yes, this framework supports running quantum algorithms on Amazon Braket and IonQ. It integrates with these diverse quantum computing platforms alongside IBM Quantum for broad hardware execution capabilities.