Quantum steering ellipsoids

S Jevtic, M Pusey, D Jennings, T Rudolph - Physical review letters, 2014 - APS
The quantum steering ellipsoid of a two-qubit state is the set of Bloch vectors that Bob can
collapse Alice's qubit to, considering all possible measurements on his qubit. We provide an …

Quantifying entanglement resources

C Eltschka, J Siewert - Journal of Physics A: Mathematical and …, 2014 - iopscience.iop.org
We present an overview of the quantitative theory of single-copy entanglement in finite-
dimensional quantum systems. In particular we emphasize the point of view that different …

A short review on entanglement in quantum spin systems

JI Latorre, A Riera - Journal of physics a: mathematical and …, 2009 - iopscience.iop.org
We review some of the recent progress on the study of entropy of entanglement in many-
body quantum systems. Emphasis is placed on the scaling properties of entropy for one …

Ultimate precision limits for noisy frequency estimation

A Smirne, J Kołodyński, SF Huelga… - Physical review …, 2016 - APS
Quantum metrology protocols allow us to surpass precision limits typical to classical
statistics. However, in recent years, no-go theorems have been formulated, which state that …

Energy–time uncertainty relation for driven quantum systems

S Deffner, E Lutz - Journal of Physics A: Mathematical and …, 2013 - iopscience.iop.org
We derive generalizations of the energy–time uncertainty relation for driven quantum
systems. Using a geometric approach based on the Bures length between mixed quantum …

Formulation of the uncertainty relations in terms of the Rényi entropies

I Bialynicki-Birula - Physical Review A—Atomic, Molecular, and Optical …, 2006 - APS
Quantum-mechanical uncertainty relations for position and momentum are expressed in the
form of inequalities involving the Rényi entropies. The proof of these inequalities requires …

Contextuality and inductive bias in quantum machine learning

J Bowles, VJ Wright, M Farkas, N Killoran… - arXiv preprint arXiv …, 2023 - arxiv.org
Generalisation in machine learning often relies on the ability to encode structures present in
data into an inductive bias of the model class. To understand the power of quantum machine …

Quantum batteries

F Campaioli, FA Pollock, S Vinjanampathy - Thermodynamics in the …, 2018 - Springer
This chapter is a survey of the published literature on quantum batteries–ensembles of non-
degenerate quantum systems on which energy can be deposited, and from which work can …

Thirty-six entangled officers of Euler: Quantum solution to a classically impossible problem

SA Rather, A Burchardt, W Bruzda… - Physical Review Letters, 2022 - APS
The negative solution to the famous problem of 36 officers of Euler implies that there are no
two orthogonal Latin squares of order six. We show that the problem has a solution …

[PDF][PDF] Learning shallow quantum circuits

HY Huang, Y Liu, M Broughton, I Kim, A Anshu… - Proceedings of the 56th …, 2024 - dl.acm.org
Despite fundamental interests in learning quantum circuits, the existence of a
computationally efficient algorithm for learning shallow quantum circuits remains an open …