quantum-compilation

MQT QMAP - A Tool for Quantum Circuit Mapping

MQT Core - Reusable C++20 and Python libraries for quantum computing: the MQT Compiler Collection, built on MLIR and LLVM, together with decision diagrams, QIR execution, QDMI device access, SDK and HPC integrations, and structured benchmarks. It forms the backbone of the Munich Quantum Toolkit.

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

MQT Qudits - A Framework For Mixed-Dimensional Qudit Quantum Computing

MQT IonShuttler - A Tool for Generating Shuttling Schedules for Trapped-Ion Quantum Computers

Haiqu SDK: Quantum Performance Middleware for Python. State compression, data loading, error mitigation, circuit analytics and hybrid quantum application execution on real quantum hardware

An MLIR Plugin for Connecting MQT Core With Xanadu’s Catalyst

ZX-Calculus graph rewrite engine applying spider fusion, phase addition modulo 2pi, and identity reduction to optimize quantum circuit T-count.

ZX-Calculus graph rewrite engine applying spider fusion, phase addition modulo 2pi, and identity reduction to optimize quantum circuit T-count.

MLIR based Compiler Passes for Optimizing and Transforming Quantum Circuits

optimally compile arbitrary two-qubit unitaries into heterogeneous native gate sets

Transpile and optimize PennyLane circuits into trapped-ion gates.

Adaptive quantum networks in practice: superposed graph topologies and operator-space spatialization, with reproducible hardware-relevant demos and figures.

MQT SQR - A Tool for Spin Qubit Routing

M.Sc. Dissertation – Noise-Adaptive Reinforcement Learning Strategies for Qubit Routing

Efficient synthesis of Fibonacci anyon circuits

Prototype optimizer for dynamic-circuit qubit placement under classical feed-forward delay and hybrid quantum/dynamic locality objectives.

Topology-aware modular quantum layout and abstract routing optimizer for Qiskit. Reduces communication cost and inter-chip hops on multi-chip hardware graphs.

Hardware-aware compilation and benchmarking of qudit circuits encoded on qubit quantum processors.