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quantum-compilation · GitHub Topics · GitHub

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quantum-compilation

Here are 22 public repositories matching this topic...

MQT QMAP - A Tool for Quantum Circuit Mapping

  • Updated Aug 29, 2026
  • C++

MQT Core - The Backbone of the Munich Quantum Toolkit

  • Updated Aug 29, 2026
  • C++

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

  • Updated Aug 29, 2026
  • Python

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

  • Updated Aug 29, 2026
  • Python

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

  • Updated Aug 27, 2026
  • Python

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

  • Updated Aug 19, 2026
  • Python

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

  • Updated Aug 29, 2026
  • C++

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

  • Updated May 21, 2026
  • Python

MLIR based Compiler Passes for Optimizing and Transforming Quantum Circuits

  • Updated Aug 28, 2026
  • C++

Transpile and optimize PennyLane circuits into trapped-ion gates.

  • Updated Aug 24, 2024
  • Python

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

  • Updated May 30, 2024
  • Python

Efficient synthesis of Fibonacci anyon circuits

  • Updated Aug 6, 2026
  • Python

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

  • Updated Mar 29, 2026
  • Python

MQT SQR - A Tool for Spin Qubit Routing

  • Updated Aug 29, 2026
  • Python

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

  • Updated Mar 29, 2026
  • Python

Ancilla-optimized quantum circuit for Hamming weight computation with reduced T-gate cost using phase encoding and inverse QFT (Qiskit).

  • Updated Apr 16, 2026
  • Jupyter Notebook

Context-verified, error-budget-aware decomposition selection for Toffoli networks. Companion code to arXiv:2606.31791 (Bartkiewicz & Tulewicz, submitted to Quantum).

  • Updated Jul 1, 2026
  • Python

Compiling equivariant quantum neural networks can break their symmetry at the structural level, with up to 22.5% CZ-count asymmetry between symmetry-related sparse-graph inputs on IBM Heron's Fez. We classify ansätze by where the input enters and fix the affected case via compile-once-and-relabel.

  • Updated Apr 28, 2026
  • Jupyter Notebook

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