Classical simulation of commuting quantum computations implies collapse of the polynomial hierarchy

Author:

Bremner Michael J.1,Jozsa Richard2,Shepherd Dan J.3

Affiliation:

1. Institut für Theoretische Physik, Leibniz Universität Hannover, Appelstrasse 2, Hannover 30167, Germany

2. DAMTP, Centre for Mathematical Sciences, University of Cambridge, Wilberforce Road, Cambridge CB3 0WA, UK

3. CESG, Hubble Road, Cheltenham GL51 0EX, UK

Abstract

We consider quantum computations comprising only commuting gates, known as IQP computations, and provide compelling evidence that the task of sampling their output probability distributions is unlikely to be achievable by any efficient classical means. More specifically, we introduce the class post-IQP of languages decided with bounded error by uniform families of IQP circuits with post-selection, and prove first that post-IQP equals the classical class PP. Using this result we show that if the output distributions of uniform IQP circuit families could be classically efficiently sampled, either exactly in total variation distance or even approximately up to 41 per cent multiplicative error in the probabilities, then the infinite tower of classical complexity classes known as the polynomial hierarchy would collapse to its third level. We mention some further results on the classical simulation properties of IQP circuit families, in particular showing that if the output distribution results from measurements on onlylines then it may, in fact, be classically efficiently sampled.

Publisher

The Royal Society

Subject

General Physics and Astronomy,General Engineering,General Mathematics

Reference21 articles.

1. Quantum computing, postselection, and probabilistic polynomial-time

2. Aaronson S.. 2009 BQP and the polynomial hierarchy. (http://arxiv.org/abs/0910.4698).

3. New evidence that quantum mechanics is hard to simulate on classical computers;Aaronson S.;Talk at QIP2010, Thirteenth International Workshop on Quantum Information Processing, ETH Zurich, Zurich, Switzerland, 18–22 January 2010,2010

4. Fault-tolerant computing with biased-noise superconducting qubits: a case study

5. Computational Complexity

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