The overall goal of this group is to investigate how quantum technology might help creating near-term quantum applications (quantum machine learning), but also how machine learning techniques may assist with developing scalable quantum devices (machine learning for quantum).
However some of the projects below are private, we encourage you to contact the author in case of interest.
Repository | Description | Author | Project |
---|---|---|---|
map-quantum-circuits-to-multi-core | Quadratic Unconstrained Binary Optimization (QUBO) technique to map quantum circuits to multiple quantum cores. | Luise Prielinger | MSc thesis |
lowdepthflagqec | Sample simulation program for the paper: Low-Depth Flag-Style Syndrome Extraction for Small Quantum Error-Correction Codes. | Dhruv Bhatnagar | MSc thesis |
QCMP-complexity-bound | Resource Bounds for Quantum Circuit Mapping via Quantum Circuit Complexity. | Sacha Szkudlarek | MSc thesis |
KetGPT | Generative AI for Quantum Circuits. | Boran Apak | MSc thesis |
EO-QCtrl | Energy-Optimized Quantum Control. | Sebastiaan Fauquenot | MSc thesis |
QART | Energy-Optimized Quantum Instruction Set Discovery | Sibasish Mishra | MSc thesis |
HQEC | Biased-Noise Threshold Studies for Holographic Quantum Error-Correction Codes. | Junyu Fan | MSc thesis |
Feyfey | Feynman simulator for quantum circuits. | Pablo Le Henaff | - |
qbench | A collection of Quantum Benchmarks. | Medina Bandic | PhD research |
SpinQ | Compilation and DSE for Scalable Spin-Qubit Architectures. | Nikiforos Paraskevopoulos | PhD research |
DSE Superconducting qubits | Medina Bandic | PhD research | |
Quantum Circuit Profiling | For improving compilation for single-core and multi-core quantum devices based on interaction graph and gate dependency graph properties. | Medina Bandic | PhD research |
ML4GST | Machine Learning for Gate Set Tomography. | Alan Yu | PhD research |
Quantum Intelligence | Various projects on the interplay between Quantum and Intelligence. | Aritra Sarkar | Postdoc research |