quantum-compiler

Curated list of open-source quantum software projects.

The Classiq Library is the largest collection of quantum algorithms and applications. It is the best way to explore quantum computing software. We welcome community contributions to our Library 🙌

Silq quantum programming language type checker, compiler, and experimental interpreter.

A JIT compiler for hybrid quantum programs in PennyLane

Quantum Compiler, Quantum Cryptanalysis, and PQC

Python tools for reading, writing, compiling, simulating quantum computer circuits. Includes numpy and tensorflow backends. “Quantum Space, the final frontier. These are the voyages of the starship Qubiter. Its five-year mission: to explore strange new worlds, to seek out new life and new civilizations, to boldly go where no man has gone before.”

A platform for finding, testing, reducing, and evaluating compiler failures across the quantum software stack.

C++17 Library for analysis, compilation/synthesis, and optimization of quantum circuits

Synthesizing arbitrary quantum computations

Quantum circuits compiler with staging and continuations

C++ Library for Quantum State Preparation (QSP)

Topological Evaluation of Quantum Information

Quantum circuit optimizer developed by ICEPP and LBNL

A transpiler pass for Qiskit which uses ZX-Calculus for circuit optimization, implemented using PyZX.

The quantum substrate of the Neura Parse stack — one IR across gate, neutral-atom, photonic-CV and pulse modalities; fault-tolerant promotion (surface · BB qLDPC · Gidney–Shutty cultivation); AI-augmented compilation; ed25519-signed manifests with offline-verifiable hash chains.

MLIR based Compiler Passes for Optimizing and Transforming Quantum Circuits

High-performance Quantum simulator (JIT) & simulation framework w/ OpenQASM 3.0 support and intuitive UI. Built entirely in Rust, with Python support for research workflows, and Tauri support for building interactive UIs.

Compile quantum circuits to surface code architectures using edge-disjoint paths

Fermihedral: On the Optimal Compilation for Fermion-to-Qubit Encoding