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Michal Sedlák

Researcher at Slovak Academy of Sciences

Publications -  39
Citations -  464

Michal Sedlák is an academic researcher from Slovak Academy of Sciences. The author has contributed to research in topics: Quantum information & Quantum process. The author has an hindex of 13, co-authored 39 publications receiving 400 citations. Previous affiliations of Michal Sedlák include Masaryk University & Palacký University, Olomouc.

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Efficient experimental estimation of fidelity of linear optical quantum Toffoli gate.

TL;DR: An efficiently measurable lower bound on quantum process fidelity of N-qubit controlled-Z gates is proposed, determined by average output state fidelities for N partially conjugate product bases, and it is found that F≥0.83.
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Optimal Probabilistic Storage and Retrieval of Unitary Channels.

TL;DR: In this article, an optimal protocol for N→1 probabilistic storage and retrieval of unitary channels on d-dimensional quantum systems was proposed, where the optimal success probability of perfect single-use retrieval is N/(N-1+d^{2}).
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Quantum learning algorithms for quantum measurements

TL;DR: In this paper, the optimal quantum learning algorithm for quantum measurements was derived for arbitrary von Neumann measurements in the case of training with one or two examples, and it was shown that the optimal algorithm for learning of quantum measurements cannot be parallelized, and requires quantum memories for the storage of information.
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Optimal single-shot strategies for discrimination of quantum measurements

TL;DR: In this paper, the authors studied the problem of discrimination of projective qubit measurements with a fixed failure rate and showed that the problem can be solved by using ancilla-assisted discrimination procedures.
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Classical communication with indefinite causal order for N completely depolarizing channels

TL;DR: In this paper, the Holevo quantity was shown to increase with the dimension of the message system and the number of channels in the superposition of causal orders, and it is independent of the dimension.