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pro vyhledávání: '"A. Kerstan"'
We propose considering Quantum Key Distribution (QKD) protocols as a use case for Quantum Machine Learning (QML) algorithms. We define and investigate the QML task of optimizing eavesdropping attacks on the quantum circuit implementation of the BB84
Externí odkaz:
http://arxiv.org/abs/2410.01904
Publikováno v:
Published in AI & Society (2024)
Trust is widely regarded as a critical component to building artificial intelligence (AI) systems that people will use and safely rely upon. As research in this area continues to evolve, it becomes imperative that the research community synchronizes
Externí odkaz:
http://arxiv.org/abs/2309.09828
We present a method to model a discretized time evolution of probabilistic networks on gate-based quantum computers. We consider networks of nodes, where each node can be in one of two states: good or failed. In each time step, probabilities are assi
Externí odkaz:
http://arxiv.org/abs/2303.16588
We present a method to formulate the unit commitment problem in energy production as quadratic unconstrained binary optimization (QUBO) problem, which can be solved by classical algorithms and quantum computers. We suggest a first approach to conside
Externí odkaz:
http://arxiv.org/abs/2301.01108
Publikováno v:
Acta Dermato-Venereologica, Vol 104 (2024)
Abstract is missing (Short communication)
Externí odkaz:
https://doaj.org/article/144d0b6f0e9a42c181b2cd2468049f11
We show how phase and amplitude estimation algorithms can be parallelized. This can reduce the gate depth of the quantum circuits to that of a single Grover operator with a small overhead. Further, we show that for quantum amplitude estimation, the p
Externí odkaz:
http://arxiv.org/abs/2204.01337
Publikováno v:
In Current Opinion in Psychology August 2024 58
We present a novel use case for quantum computation: the sensitivity analysis for a risk model used at Deutsche B\"orse Group. Such an analysis is computationally too expensive to perform on classical computers. We show in detail how the risk model a
Externí odkaz:
http://arxiv.org/abs/2103.05475
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