Quantum Compiler Python Packages

tweedledum

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

pennylane-catalyst

A JIT compiler for hybrid quantum programs in PennyLane

classiq

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 🙌

tweedledum-dev

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

mqt-predictor

MQT Predictor - A Tool for Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing

qb-compiler

Quantum execution intelligence. Circuit viability, backend recommendation, cost estimation, and automatic optimizations for quantum computing.

rqm-qiskit

Repository name: rqm-qiskit Mission: Build a clean, production-ready Python package that provides an SU(2)-native / quaternion-inspired interface on top of Qiskit, so users can describe 1-qubit quantum states and gates in rotation-first geometric language, then convert them into standard Qiskit circuits for simulation and IBM Quantum execution

qubiter

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.”

rqm-circuits

Canonical circuit-definition layer for the RQM Technologies quantum software stack

qiskit-zx-transpiler

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