Literature DB >> 25167475

Experimental quantum computing to solve systems of linear equations.

X-D Cai1, C Weedbrook2, Z-E Su1, M-C Chen1, Mile Gu3, M-J Zhu1, Li Li1, Nai-Le Liu1, Chao-Yang Lu1, Jian-Wei Pan1.   

Abstract

Solving linear systems of equations is ubiquitous in all areas of science and engineering. With rapidly growing data sets, such a task can be intractable for classical computers, as the best known classical algorithms require a time proportional to the number of variables N. A recently proposed quantum algorithm shows that quantum computers could solve linear systems in a time scale of order log(N), giving an exponential speedup over classical computers. Here we realize the simplest instance of this algorithm, solving 2×2 linear equations for various input vectors on a quantum computer. We use four quantum bits and four controlled logic gates to implement every subroutine required, demonstrating the working principle of this algorithm.

Year:  2013        PMID: 25167475     DOI: 10.1103/PhysRevLett.110.230501

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  6 in total

1.  Variational quantum support vector machine based on [Formula: see text] matrix expansion and variational universal-quantum-state generator.

Authors:  Motohiko Ezawa
Journal:  Sci Rep       Date:  2022-04-26       Impact factor: 4.996

2.  Highly Efficient Processing of Multi-photon States.

Authors:  Qing Lin; Bing He
Journal:  Sci Rep       Date:  2015-08-06       Impact factor: 4.379

3.  A two-qubit photonic quantum processor and its application to solving systems of linear equations.

Authors:  Stefanie Barz; Ivan Kassal; Martin Ringbauer; Yannick Ole Lipp; Borivoje Dakić; Alán Aspuru-Guzik; Philip Walther
Journal:  Sci Rep       Date:  2014-08-19       Impact factor: 4.379

4.  Demonstration of quantum permutation algorithm with a single photon ququart.

Authors:  Feiran Wang; Yunlong Wang; Ruifeng Liu; Dongxu Chen; Pei Zhang; Hong Gao; Fuli Li
Journal:  Sci Rep       Date:  2015-06-05       Impact factor: 4.379

5.  Hybrid classical-quantum linear solver using Noisy Intermediate-Scale Quantum machines.

Authors:  Chih-Chieh Chen; Shiue-Yuan Shiau; Ming-Feng Wu; Yuh-Renn Wu
Journal:  Sci Rep       Date:  2019-11-07       Impact factor: 4.379

6.  Fusing the single-excitation subspace with [Formula: see text].

Authors:  Michael R Geller
Journal:  Sci Rep       Date:  2021-01-11       Impact factor: 4.379

  6 in total

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