Dr Marcin Jastrzebski
School of Mathematical and Physical Sciences
Research Associate
Full contact details
School of Mathematical and Physical Sciences
Hicks Building
Hounsfield Road
Sheffield
S3 7RH
- Profile
-
In 2025, I joined Prof. Oleksandr Kyriienko's group at the Sheffield Quantum Centre through the QCi3 (Quantum Computing via Integrated and Interconnected Implementations) Hub to work on quantum machine learning (QML).
My PhD at UCL (2021-2025) focused on applying QML algorithms to high energy physics problems.
I obtained my undergraduate degree form Lancaster University in 2021.
- Research interests
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Theory and practice of quantum machine learning, learning with quantum data
Summary of Research Project(s)
Sheffield:
Quantum machine learning in integrated photonic devices, learning on multiple quantum states, QML on hardware, quantum solvers for stochastic differential equations
Previously:
Spectral bias in quantum machine learning, early QML methods in particle physics analyses
- Publications
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Journal articles
- LArTPC hit-based topology classification with quantum machine learning and symmetry considerations. Physical Review D, 112(9). View this article in WRRO
- Unsupervised beyond-standard-model event discovery at the LHC with a novel quantum autoencoder. Quantum Machine Intelligence, 7(1).
- To reset, or not to reset—that is the question. npj Quantum Information, 11(1). View this article in WRRO
- A quantum-enhanced support vector machine for galaxy classification. RAS Techniques and Instruments, 2(1), 752-759.
- Reconstructing charged particle track segments with a quantum-enhanced support vector machine. Physical Review D, 109(5).
Preprints
- Spectral Bias in Variational Quantum Machine Learning.
- LArTPC hit-based topology classification with quantum machine learning
and symmetry.
- To reset, or not to reset -- that is the question.
- Unsupervised Beyond-Standard-Model Event Discovery at the LHC with a
Novel Quantum Autoencoder.
- Reconstructing charged particle track segments with a quantum-enhanced
support vector machine.
- LArTPC hit-based topology classification with quantum machine learning and symmetry considerations. Physical Review D, 112(9). View this article in WRRO
- Research group
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Prof. Oleksandr Kyriienko's group at the Sheffield Quantum Centre