Fetch the Qiskit v1 API reference table of contents in Markdown format to navigate quantum computing documentation efficiently.
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523,639 tools. Updated 2026-09-06 13:38
"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.-
- Identify quantum-vulnerable algorithms, generate Qiskit circuits, and produce NIST PQC migration plans.MIT
Matching MCP Servers
- AlicenseNot gradedqualityCmaintenanceMCP 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
- FlicenseAqualityDmaintenanceUnofficial Model Context Protocol (MCP) server that enables LLMs to build and execute quantum circuits using Qiskit.137-
- Fetch Qiskit tutorials from IBM Quantum Learning Hub to learn quantum computing concepts through practical examples and code.-
- 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.-