Literature DB >> 33267513

Quantum Simulation Logic, Oracles, and the Quantum Advantage.

Niklas Johansson1, Jan-Åke Larsson1.   

Abstract

Query complexity is a common tool for comparing quantum and classical computation, and it has produced many examples of how quantum algorithms differ from classical ones. Here we investigate in detail the role that oracles play for the advantage of quantum algorithms. We do so by using a simulation framework, Quantum Simulation Logic (QSL), to construct oracles and algorithms that solve some problems with the same success probability and number of queries as the quantum algorithms. The framework can be simulated using only classical resources at a constant overhead as compared to the quantum resources used in quantum computation. Our results clarify the assumptions made and the conditions needed when using quantum oracles. Using the same assumptions on oracles within the simulation framework we show that for some specific algorithms, such as the Deutsch-Jozsa and Simon's algorithms, there simply is no advantage in terms of query complexity. This does not detract from the fact that quantum query complexity provides examples of how a quantum computer can be expected to behave, which in turn has proved useful for finding new quantum algorithms outside of the oracle paradigm, where the most prominent example is Shor's algorithm for integer factorization.

Entities:  

Keywords:  quantum algorithms; quantum query complexity; simulation framework

Year:  2019        PMID: 33267513      PMCID: PMC7515329          DOI: 10.3390/e21080800

Source DB:  PubMed          Journal:  Entropy (Basel)        ISSN: 1099-4300            Impact factor:   2.524


  12 in total

1.  Semiclassical Fourier transform for quantum computation.

Authors: 
Journal:  Phys Rev Lett       Date:  1996-04-22       Impact factor: 9.161

2.  Experimental realization of Shor's quantum factoring algorithm using nuclear magnetic resonance.

Authors:  L M Vandersypen; M Steffen; G Breyta; C S Yannoni; M H Sherwood; I L Chuang
Journal:  Nature       Date:  2001 Dec 20-27       Impact factor: 49.962

3.  Experimental demonstration of a compiled version of Shor's algorithm with quantum entanglement.

Authors:  B P Lanyon; T J Weinhold; N K Langford; M Barbieri; D F V James; A Gilchrist; A G White
Journal:  Phys Rev Lett       Date:  2007-12-19       Impact factor: 9.161

4.  Demonstration of a compiled version of Shor's quantum factoring algorithm using photonic qubits.

Authors:  Chao-Yang Lu; Daniel E Browne; Tao Yang; Jian-Wei Pan
Journal:  Phys Rev Lett       Date:  2007-12-19       Impact factor: 9.161

5.  Oversimplifying quantum factoring.

Authors:  John A Smolin; Graeme Smith; Alexander Vargo
Journal:  Nature       Date:  2013-07-11       Impact factor: 49.962

6.  Shor's quantum factoring algorithm on a photonic chip.

Authors:  Alberto Politi; Jonathan C F Matthews; Jeremy L O'Brien
Journal:  Science       Date:  2009-09-04       Impact factor: 47.728

7.  Experimental realization of a one-way quantum computer algorithm solving Simon's problem.

Authors:  M S Tame; B A Bell; C Di Franco; W J Wadsworth; J G Rarity
Journal:  Phys Rev Lett       Date:  2014-11-11       Impact factor: 9.161

8.  Quantifying coherence.

Authors:  T Baumgratz; M Cramer; M B Plenio
Journal:  Phys Rev Lett       Date:  2014-09-29       Impact factor: 9.161

9.  Realization of a scalable Shor algorithm.

Authors:  Thomas Monz; Daniel Nigg; Esteban A Martinez; Matthias F Brandl; Philipp Schindler; Richard Rines; Shannon X Wang; Isaac L Chuang; Rainer Blatt
Journal:  Science       Date:  2016-03-04       Impact factor: 47.728

10.  Complete 3-Qubit Grover search on a programmable quantum computer.

Authors:  C Figgatt; D Maslov; K A Landsman; N M Linke; S Debnath; C Monroe
Journal:  Nat Commun       Date:  2017-12-04       Impact factor: 14.919

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