Simulating Quantum Computation: How Many “Bits” for “It”?

A recently introduced classical simulation method for universal quantum computation with magic states operates by repeated sampling from probability functions [M. Zurel PRL 260404 (2020)]. This method is closely related to sampling algorithms based on Wigner functions, with the important distinction that Wigner functions can take negative values obstructing the sampling. Indeed, negativity in Wigner functions has been identified as a precondition for a quantum speed-up. However, in the present method of classical simulation, negativity of quasiprobability functions never arises. This model remains probabilistic for all quantum computations. In this paper, we analyze the amount of classical data that the simulation procedure must track. We find that this amount is small. Specifically, for any number <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"><a:mi>n</a:mi></a:math> of magic states, the number of bits that describe the quantum system at any given time is <d:math xmlns:d="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"><d:mn>2</d:mn><d:msup><d:mi>n</d:mi><d:mn>2</d:mn></d:msup><d:mo>+</d:mo><d:mi>O</d:mi><d:mo stretchy="false">(</d:mo><d:mi>n</d:mi><d:mo stretchy="false">)</d:mo></d:math>. Published by the American Physical Society 2024

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Publication Details

Journal
PRX Quantum
Published
2024-09-03
DOI
https://doi.org/10.1103/prxquantum.5.030343
Citations
1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.35

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article

Simulating Quantum Computation: How Many “Bits” for “It”?

Cihan Okay, Robert Raussendorf, Michael Zurel
1 citations
PRX Quantum
Quantum Computing Algorithms and Architecture
0.35
article

Simulating Quantum Computation: How Many “Bits” for “It”?

Cihan Okay, Robert Raussendorf, Michael Zurel
article en
1 citations

Abstract

A recently introduced classical simulation method for universal quantum computation with magic states operates by repeated sampling from probability functions [M. Zurel PRL 260404 (2020)]. This method is closely related to sampling algorithms based on Wigner functions, with the important distinction that Wigner functions can take negative values obstructing the sampling. Indeed, negativity in Wigner functions has been identified as a precondition for a quantum speed-up. However, in the present method of classical simulation, negativity of quasiprobability functions never arises. This model remains probabilistic for all quantum computations. In this paper, we analyze the amount of classical data that the simulation procedure must track. We find that this amount is small. Specifically, for any number <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"><a:mi>n</a:mi></a:math> of magic states, the number of bits that describe the quantum system at any given time is <d:math xmlns:d="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"><d:mn>2</d:mn><d:msup><d:mi>n</d:mi><d:mn>2</d:mn></d:msup><d:mo>+</d:mo><d:mi>O</d:mi><d:mo stretchy="false">(</d:mo><d:mi>n</d:mi><d:mo stretchy="false">)</d:mo></d:math>. Published by the American Physical Society 2024

PRX QuantumVol. 5(3)
Leibniz University Hannover (DE), University of British Columbia (CA), Bilkent University (TR)
Alexander von Humboldt-Stiftung, HORIZON EUROPE Framework Programme, Natural Sciences and Engineering Research Council of Canada, Air Force Office of Scientific Research
Openalex Percentile: Top 34%
Quantum Computing Algorithms and Architecture
0.35
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Simulating Quantum Computation: How Many “Bits” for “It”? — Cihan Okay, Robert Raussendorf, et al. · PRX Quantum (2024) | TGRS Research Map | TGRS