A tool for quantum circuit compilation developed as part of the Munich Quantum Toolkit (MQT). It builds upon MQT Core, which forms the backbone of the MQT.
High-performance quantum simulation via Python bindings
High-level Quantum ProgrammingSimulators
Access a fast C++11/OpenCL quantum simulator from Python. Supports OpenCL acceleration, zero-copy mode, and integration with PyZX for circuit optimization.
Bridge quantum physics formalisms to classical code
High-level Quantum ProgrammingQuantum Algorithms
QCL is a high-level, architecture-independent quantum programming language with syntax like C/Pascal, enabling full algorithm implementation and simulation.
Optimizes Quil programs for specific hardware architectures using advanced compilation techniques. Provides both binary and server interfaces for flexible integration.
Access and program D-Wave quantum systems with Python.
High-level Quantum ProgrammingHybrid computing+1 more
Provides a comprehensive Python SDK and command-line tools for developing applications on D-Wave quantum computers and hybrid solvers. Includes API, CLI, and package documentation.
Intuitive Python programming for diverse quantum backends.
CompilersHigh-level Quantum Programming+1 more
Implement quantum programs in Python with intuitive syntax. Translate code for execution on classical simulators or actual quantum hardware. Open-source framework.
Unified platform for hybrid quantum-classical computing
HPCHybrid computing+1 more
An open-source platform integrating QPUs, GPUs, and CPUs for hybrid quantum-classical computing. Enables QPU-agnostic development and offers GPU-accelerated simulations.
High-performance C++ library for quantum circuit synthesis.
CompilersOptimization+2 more
Perform high-speed analysis, synthesis, compilation, and optimization of quantum circuits using a scalable C++17 library designed for performance and flexibility.