CirQit is a professional quantum circuit simulator built on NumPy. Six backends, zero heavy dependencies — from 2-qubit Bell states to 1000-qubit stabilizer circuits.
A complete toolkit built from scratch with noise models, variational circuits, error correction, and more.
Six backends covering every quantum computing regime.
Python 3.8+ · numpy · matplotlib · MIT License
CirQit is an open-source Python library for quantum circuit simulation. It is designed to provide researchers, students, and developers with a fast, lightweight, and professional-grade toolkit without heavy external dependencies.
The library implements six distinct simulation backends covering every major quantum computing regime — from exact statevector simulation to large-scale Clifford stabilizer circuits exceeding 1000 qubits. All algorithms are built from scratch using NumPy, ensuring performance, transparency, and full control.
CirQit focuses on simplicity, performance, and accessibility — making quantum computing experimentation possible without relying on complex or proprietary platforms.
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Quantum computing articles, tutorials, and CirQit updates.
CirQit is a free, open-source Python library for professional quantum circuit simulation. We believe quantum computing education should be accessible to everyone — from students learning their first qubit to researchers building fault-tolerant algorithms.
Built entirely on NumPy with zero heavy dependencies, CirQit provides six simulation backends, 20+ quantum gates, noise models, variational circuits, quantum error correction codes, and a full job tracking system — all installable with a single pip install cirqit command.
To make quantum computing simulation accessible, educational, and production-ready for the global developer community. This blog publishes original articles, tutorials, and research insights on quantum computing — all freely available.
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Last updated: April 10, 2026 · Effective: April 10, 2026
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Last updated: April 10, 2026
CirQit is released under the MIT License. You are free to use, modify, and distribute the software for personal and commercial purposes, subject to the terms of the license.
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