Team Members
- Karol Bartkiewicz (Ph.D., hab.)
- Karel Lemr (Ph.D., hab.)
- Antonin Cernoch (Ph.D.)
- Vojtech Travnicek (Ph.D.)
- Katerina Jirakova (Ph.D.)
- Jan Roik (Ph.D.)
- Patrycja Tulewicz (Ph.D. candidate)
- Hubert Wojewoda (BSc student)
Research Focus
Our research spans three interconnected areas: quantum machine learning, optical quantum information, and non-Hermitian quantum systems with PT symmetry.
Key recent results (2022–2025)
- Neural network methods for efficient measurement of quantum correlations without full state tomography (Scientific Reports 2025)
- First experimental demonstration of Liouvillian exceptional points in a quantum system without Hamiltonian singularities on an IBM processor (New Journal of Physics 2024)
- Development of synergistic quantum generative networks SQGEN (Scientific Reports 2023)
- Experimental study of the hierarchy of nonclassicality of quantum states (Physical Review A 2024, Optics Express 2024)
- Analysis of quantumness in PT-symmetric systems (Physical Review A 2025)
In quantum machine learning, our quantum kernels solve high-dimensional classification problems and could potentially be computed faster than their classical counterparts. Applications include image recognition, medical diagnostics, and real-time data extraction from unstructured data.
Earlier research (habilitation)
Development of methods for measurement of nonlinear properties of low-dimensional quantum states, including quantum entanglement, nonlocality, quantum discord, fidelity, and temporal steering. The methods use collective measurements (simultaneous measurements on several copies of a quantum state) and require fewer measurements than full quantum tomography. Key results include universal entanglement detection via the Peres-Horodecki criterion, the first experimental demonstration of temporal quantum steering, and interferometric methods based on local unitary invariants using Hong-Ou-Mandel interference.
Collaborations: Palacky University Olomouc, RIKEN Japan (Prof. F. Nori), University of Gdansk (Prof. P. Horodecki). Research stays at RIKEN in 2014, 2024 and 2026.
Current Research Funding
- QEC4QEA (2025–2029) — EuroHPC quantum excellence centre, AMU lead (PI)
- NCN Maestro (2020–2026) — Dissipative quantum engineering (investigator, PI: Prof. Miranowicz)
Machine Learning Publications