Article (Scientific journals)
A Quantum Information Processing Machine for Computing by Observables
Remacle, Françoise; Levine, Raphael D.
2023In Proceedings of the National Academy of Sciences of the United States of America, 120 (10), p. 2220069120
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Keywords :
quantum parallel computing, electronic coherences, computing by observables, algebraic quantum dynamics
Abstract :
[en] A quantum machine that accepts an input and processes it in parallel is described. The logic variables of the machine are not wavefunctions (qubits) but observables (i.e., operators) and its operation is described in the Heisenberg picture. The active core is a solid-state assembly of small nanosized colloidal quantum dots (QDs) or dimers of dots. The size dispersion of the QDs that causes fluctuations in their discrete electronic energies is a limiting factor. The input to the machine is provided by a train of very brief laser pulses, at least four in number. The coherent band width of each ultrashort pulse needs to span at least several and preferably all the single electron excited states of the dots. The spectrum of the QD assembly is measured as a function of the time delays between the input laser pulses. The dependence of the spectrum on the time delays can be Fourier transformed to a frequency spectrum. This spectrum of a finite range in time is made up of discrete pixels. These are the visible, raw, basic logic variables. The spectrum is analyzed to determine a possibly smaller number of principal components. A Lie-algebraic point of view is used to explore the use of the machine to emulate the dynamics of other quantum systems. An explicit example demonstrates the considerable quantum advantage of our scheme.
Disciplines :
Chemistry
Author, co-author :
Remacle, Françoise  ;  Université de Liège - ULiège > Département de chimie (sciences) > Laboratoire de chimie physique théorique
Levine, Raphael D.;  Hebrew University of Jerusalem
Language :
English
Title :
A Quantum Information Processing Machine for Computing by Observables
Publication date :
2023
Journal title :
Proceedings of the National Academy of Sciences of the United States of America
ISSN :
0027-8424
eISSN :
1091-6490
Publisher :
National Academy of Sciences, Washington, United States - District of Columbia
Volume :
120
Issue :
10
Pages :
e2220069120.
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
Funding number :
T.0205.20
Funding text :
PDR MONACOMP
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since 01 February 2023

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