Fetch the Qiskit v1 API reference table of contents in Markdown format to navigate quantum computing documentation efficiently.
466,708 tools. Updated 2026-08-19 22:01
"Qiskit" matching MCP tools:
- Check Qiskit code for compatibility with v1 or v2 by running static analysis in a temporary environment to identify unsupported modules or functions.
- Fetch the Qiskit v2 API reference table of contents in Markdown format to navigate documentation for quantum computing development.
- Migrate Qiskit code from version 0.x to versions 1 and 2 with this guide, ensuring compatibility with current quantum computing frameworks.
- Run quantum simulations by staging Python/Qiskit files in an offline Qiskit Aer container. Execute circuits with custom shots and timeouts, then download generated artifacts locally.
- Fetch Qiskit tutorials from IBM Quantum Learning Hub to learn quantum computing concepts through practical examples and code.
Matching MCP Servers
- Alicense-qualityCmaintenanceMCP server exposing Qiskit quantum computing functionality through the Model Context Protocol. Enables LLMs to create, manipulate, and execute quantum circuits via standardized MCP tools and resources.MIT
- FlicenseAqualityDmaintenanceThis MCP server enables Claude Desktop to create, visualize, and simulate quantum circuits using Qiskit and Qiskit Aer, with support for preset circuits, custom QASM, and noise modeling.3
- Add advanced quantum gates such as rx, ry, swap, and controlled rotations to an existing circuit.
- Calculate the density matrix of a quantum circuit and analyze its purity and entropy to characterize quantum states.
- Analyze a quantum circuit's state vector to obtain probabilities and amplitudes for each computational basis state.
- Create a quantum circuit using a preset (bell, ghz_3, superposition, deutsch_jozsa, random_4) or by providing an OpenQASM 2.0 string.
- Execute a stored quantum circuit using Qiskit AerSimulator with configurable depolarizing noise. Returns measurement counts, probabilities, and simulation metadata. Select noise preset: ideal, low, or high noise.
- Add quantum gates to a circuit by specifying the circuit name and a list of gate operations, each with type and target qubits.
- Generate a variational quantum circuit (ansatz) for quantum machine learning, specifying number of qubits, layers, entanglement strategy, and optional name.
- Build a quantum circuit with specified qubits and classical bits. Optionally name the circuit; if not, a unique name is auto-generated. Returns circuit details and name.
- Retrieve details about a quantum circuit by providing its name, including properties and metadata.
- List all created quantum circuits and return their names and basic information.
- Generate a Mermaid flowchart diagram of a quantum circuit by providing the circuit name.
- Retrieve a stored quantum circuit by ID and display it as an interactive HTML diagram with a structured gate list for review and narration.
- Execute a quantum circuit on a simulator and return measurement results as JSON. Input circuit name and shot count to run.
- Optimize quantum circuits by applying transpiler passes with adjustable optimization levels (0-3) to reduce gate count and depth.