Quantum Machine Learning
Research Group of Dr. Sebastian Feld, affiliated to QuTech and Q&CE Dept. of TU Delft
Netherlands
Pinned Repositories
.github
EO-QCtrl
Energy Efficient Universal Quantum Optimal Control
Feyfey
Feynmann simulator for quantum circuits.
KetGPT
Dataset Augmentation of Quantum Circuits using Transformers
lowdepthflagqec
Sample simulation program for the paper: Low-Depth Flag-Style Syndrome Extraction for Small Quantum Error-Correction Codes. [MSc thesis]
ML4GST
Code for "Transformer Models for Quantum Gate Set Tomography"
PythonCPPTemplate
This repository is an example of a Python program that uses a C++ function for performance
qbench
A collection of Quantum Benchmarks. [PhD research]
QCMP-complexity-bound
Superpositeur
Superpositeur is a project to explore efficient algorithms behind density matrix simulation of quantum circuits
Quantum Machine Learning's Repositories
QML-Group/qbench
A collection of Quantum Benchmarks. [PhD research]
QML-Group/EO-QCtrl
Energy Efficient Universal Quantum Optimal Control
QML-Group/KetGPT
Dataset Augmentation of Quantum Circuits using Transformers
QML-Group/ML4GST
Code for "Transformer Models for Quantum Gate Set Tomography"
QML-Group/QCMP-complexity-bound
QML-Group/.github
QML-Group/Feyfey
Feynmann simulator for quantum circuits.
QML-Group/lowdepthflagqec
Sample simulation program for the paper: Low-Depth Flag-Style Syndrome Extraction for Small Quantum Error-Correction Codes. [MSc thesis]
QML-Group/map-quantum-circuits-to-multi-core
Quadratic Unconstrained Binary Optimization (QUBO) technique to map quantum circuits to multiple quantum cores. [MSc thesis]
QML-Group/PythonCPPTemplate
This repository is an example of a Python program that uses a C++ function for performance
QML-Group/Superpositeur
Superpositeur is a project to explore efficient algorithms behind density matrix simulation of quantum circuits