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20212026
most citedExperimental Liouvillian exceptional points in a quantum system without Hamiltonian singularities

22 citations · 39 across the 7 of their papers we have counts for

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quant-ph2026

Temporal nonlocality of a qudit resides in the input state, not the channel, and certifies temporal teleportation up to a fundamental limit

Karol Bartkiewicz, Patrycja Tulewicz

Correlations between two moments in time can be too strong for any classical explanation -- and, remarkably, this can happen for a single quantum system measured twice, with no sec…

quant-ph2026

Context-Verified, Error-Budget-Aware Decomposition Selection for Toffoli Networks

Karol Bartkiewicz, Patrycja Tulewicz

The cheapest Toffoli (CCX) decompositions (relative-phase and control-reduced Toffolis) save two-qubit gates, which dominate the error budget of near-term hardware, but they are co…

quant-ph2026

Spin chirality across quantum state copies detects hidden entanglement

Patrycja Tulewicz, Karol Bartkiewicz, Franco Nori

Entanglement can hide in two fundamentally different ways. First, multi-copy correlations can carry information that no single-copy measurement on an unknown state is able to acces…

quant-ph2024

Resource-efficient quantum correlation measurements via multicopy neural network methods

Patrycja Tulewicz, Karol Bartkiewicz, Adam Miranowicz +1

Measuring complex properties in quantum systems, such as measures of quantum entanglement and Bell nonlocality, is inherently challenging. Traditional methods, like quantum state t…

quant-ph2024★ 22 cited

Experimental Liouvillian exceptional points in a quantum system without Hamiltonian singularities

Shilan Abo, Patrycja Tulewicz, Karol Bartkiewicz +2

Hamiltonian exceptional points (HEPs) are spectral degeneracies of non-Hermitian Hamiltonians describing classical and semiclassical open systems with losses and/or gain. However,…

quant-ph2021★ 3 cited

Synergic quantum generative machine learning

Karol Bartkiewicz, Patrycja Tulewicz, Jan Roik +1

We introduce a new approach towards generative quantum machine learning significantly reducing the number of hyperparameters and report on a proof-of-principle experiment demonstra…