Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Damian Markham"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-19 (2024)
Abstract We develop a framework for learning properties of quantum states beyond the assumption of independent and identically distributed (i.i.d.) input states. We prove that, given any learning problem (under reasonable assumptions), an algorithm d
Externí odkaz:
https://doaj.org/article/abcba239ae264c81898611291f3ac5e3
Autor:
Robert I. Booth, Damian Markham
Publikováno v:
Quantum, Vol 7, p 1146 (2023)
In measurement-based quantum computing (MBQC), computation is carried out by a sequence of measurements and corrections on an entangled state. Flow, and related concepts, are powerful techniques for characterising the dependence of the corrections on
Externí odkaz:
https://doaj.org/article/f665487e01404dff92401ca633d5004d
Publikováno v:
Quantum, Vol 5, p 578 (2021)
The demonstration of quantum speedup, also known as quantum computational supremacy, that is the ability of quantum computers to outperform dramatically their classical counterparts, is an important milestone in the field of quantum computing. While
Externí odkaz:
https://doaj.org/article/fac8dc5dacc74154b6d602de64b48c40
Publikováno v:
Physical Review Research, Vol 3, Iss 4, p 043035 (2021)
We consider a device which can be programed using coherent states of light to approximate a given projective measurement on an input coherent state. We provide and discuss three practical implementations of this programmable projective measurement de
Externí odkaz:
https://doaj.org/article/f18f8065226c4a92bf35ef5332966bd3
Publikováno v:
Physical Review Research, Vol 3, Iss 3, p 033018 (2021)
We consider Gaussian quantum circuits supplemented with non-Gaussian input states and derive sufficient conditions for efficient classical strong simulation of these circuits. In particular, we generalise the stellar representation of continuous-vari
Externí odkaz:
https://doaj.org/article/788822e4568443ff9878a4c1613bcf69
Publikováno v:
Quantum, Vol 5, p 496 (2021)
We study supervised learning algorithms in which a quantum device is used to perform a computational subroutine – either for prediction via probability estimation, or to compute a kernel via estimation of quantum states overlap. We design implement
Externí odkaz:
https://doaj.org/article/7aaa80612245441ebd65c8d081333a53
Publikováno v:
Quantum, Vol 5, p 472 (2021)
This work analyzes correlations arising from quantum systems subject to sequential projective measurements to certify that the system in question has a quantum dimension greater than some $d$. We refine previous known methods and show that dimension
Externí odkaz:
https://doaj.org/article/c6d3d1664453408eb830ce0028ad0733
Autor:
Ulysse Chabaud, Ganaël Roeland, Mattia Walschaers, Frédéric Grosshans, Valentina Parigi, Damian Markham, Nicolas Treps
Publikováno v:
PRX Quantum, Vol 2, Iss 2, p 020333 (2021)
We derive a theoretical framework for the experimental certification of non-Gaussian features of quantum states using double homodyne detection. We rank experimental non-Gaussian states according to the recently defined stellar hierarchy and we propo
Externí odkaz:
https://doaj.org/article/7eadb69d01204d6984f85d293bbcf211
Publikováno v:
New Journal of Physics, Vol 23, Iss 4, p 043038 (2021)
Noise is the greatest obstacle in quantum metrology that limits it achievable precision and sensitivity. There are many techniques to mitigate the effect of noise, but this can never be done completely. One commonly proposed technique is to repeatedl
Externí odkaz:
https://doaj.org/article/5b144a92fc1744fb9333b569ebdb002b
Publikováno v:
Journal of Physics A: Mathematical and Theoretical
Journal of Physics A: Mathematical and Theoretical, 2023, 56 (11), pp.115303. ⟨10.1088/1751-8121/acbace⟩
Journal of Physics A: Mathematical and Theoretical, 2023, 56 (11), pp.115303. ⟨10.1088/1751-8121/acbace⟩
In measurement-based quantum computing (MBQC), computation is carried out by a sequence of measurements and corrections on an entangled state. Flow, and related concepts, are powerful techniques for characterising the dependence of the corrections on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3690b3baa5375829f356159d61935396
https://hal.science/hal-03358122
https://hal.science/hal-03358122
