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20052026
most citedThe classical-quantum boundary for correlations: discord and related measures

1.6k citations · 9.1k across the 112 of their papers we have counts for

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Showing 2020 · quant-phShow all

9 papers · 2 filters

quant-ph2020★ 178 cited

Quantum stochastic processes and quantum non-Markovian phenomena

Simon Milz, Kavan Modi

The field of classical stochastic processes forms a major branch of mathematics. They are, of course, also very well studied in biology, chemistry, ecology, geology, finance, physi…

quant-ph2020★ 10 cited

How long does it take to implement a projective measurement?

Philipp Strasberg, Kavan Modi, Michalis Skotiniotis

According to the Schrödinger equation, a closed quantum system evolves continuously in time. If it is subject to a measurement however, its state changes randomly and discontinuous…

quant-ph2020★ 31 cited

Genuine Multipartite Entanglement in Time

Simon Milz, Cornelia Spee, Zhen-Peng Xu +3

While spatial quantum correlations have been studied in great detail, much less is known about the genuine quantum correlations that can be exhibited by temporal processes. Employi…

quant-ph2020★ 30 cited

Bounding generalized relative entropies: Nonasymptotic quantum speed limits

Diego Paiva Pires, Kavan Modi, Lucas Chibebe Céleri

Information theory has become an increasingly important research field to better understand quantum mechanics. Noteworthy, it covers both foundational and applied perspectives, als…

quant-ph2020★ 7 cited

Quantum chicken-egg dilemmas: Delayed-choice causal order and the reality of causal non-separability

Simon Milz, Dominic Jurkschat, Felix A. Pollock +1

Recent frameworks describing quantum mechanics in the absence of a global causal order admit the existence of causally indefinite processes, where it is impossible to ascribe causa…

quant-ph2020★ 53 cited

Tensor network based machine learning of non-Markovian quantum processes

Chu Guo, Kavan Modi, Dario Poletti

We show how to learn structures of generic, non-Markovian, quantum stochastic processes using a tensor network based machine learning algorithm. We do this by representing the proc…