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qiskit-quantum

Simulate quantum circuits and solve optimization problems with Qiskit and Aer.

33|6|Updated Mar 17, 2026
Search Tags:#quantum-circuits#qiskit#vqe#qaoa#noise-modeling#aer-simulation#quantum-optimization
One-click install
npx skills add https://github.com/xjtulyc/awesome-rosetta-skills --skill qiskit-quantum
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: qiskit-quantum
Source: https://github.com/xjtulyc/awesome-rosetta-skills/tree/main/skills/01-physics/qiskit-quantum
Command: npx skills add https://github.com/xjtulyc/awesome-rosetta-skills --skill qiskit-quantum

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you design and analyze quantum computing workflows by building quantum circuits, simulating ideal or noisy behavior, and solving optimization and eigenvalue problems through VQE and QAOA.

Core Features & Use Cases

  • Quantum Circuit Construction: Create qubit gate circuits (e.g., H, CNOT, Ry/Rz, SWAP) and run both statevector and shot-based simulations.
  • Noise Model Simulation: Model NISQ errors with depolarizing noise and thermal relaxation to compare ideal vs realistic outcomes.
  • Variational Algorithms: Implement VQE for ground-state energy estimation (via a sample H₂ Hamiltonian) and QAOA for MaxCut partitioning on graphs.

Quick Start

Use the qiskit-quantum skill to simulate a Bell-state circuit and generate the measurement histogram with ideal statevector and shot-based results.

Frequently Asked Questions about qiskit-quantum

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

FAQPage Schema
How do I simulate quantum circuits with Qiskit using statevector and shot-based sampling?▼

You can simulate quantum circuits by constructing qubit gate sequences and executing them using Qiskit Aer simulators. This Skill supports ideal statevector simulation and shot-based sampling to generate measurement histograms.

How do I apply VQE to estimate ground-state energy for an H2 Hamiltonian?▼

To estimate ground-state energy with VQE, you construct the H2 Hamiltonian and configure the variational circuit. This Skill implements the VQE workflow to calculate ground-state energies using Qiskit-based tooling.

Can I model NISQ depolarizing noise and thermal relaxation in Qiskit Aer simulations?▼

Yes, you can model NISQ errors in Qiskit Aer simulations by applying configurable noise models. This Skill supports depolarizing noise and thermal relaxation to compare ideal versus realistic quantum circuit outcomes.

What is the best way to solve MaxCut partitioning on graphs using QAOA in Qiskit?▼

Solving MaxCut partitioning with QAOA involves mapping the graph problem to a quantum circuit and optimizing the parameters. This Skill implements QAOA workflows specifically for MaxCut partitioning on graphs.

Do I need Python and Qiskit installed to run variational quantum algorithms and noise modeling?▼

Yes, you need Python with Qiskit and Aer simulators installed. This Skill requires this environment to execute quantum circuit design, NISQ noise modeling, and variational algorithm workflows.

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