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Documents authored by Marshall, Simon C.

Document
DOI: 10.4230/LIPIcs.FSTTCS.2025.3
PDQMA = DQMA = NEXP: QMA with Hidden Variables and Non-Collapsing Measurements

Authors: Scott Aaronson, Sabee Grewal, Vishnu Iyer, Simon C. Marshall, and Ronak Ramachandran

Published in: LIPIcs, Volume 360, 45th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2025)

Abstract
We define and study a variant of QMA (Quantum Merlin Arthur) in which Arthur can make multiple non-collapsing measurements to Merlin’s witness state, in addition to ordinary collapsing measurements. By analogy to the class PDQP defined by Aaronson, Bouland, Fitzsimons, and Lee (2014), we call this class PDQMA. Our main result is that PDQMA = NEXP; this result builds on the PCP theorem and complements the result of Aaronson (2018) that PDQP/qpoly = ALL. While the result has little to do with quantum mechanics, we also show a more "quantum" result: namely, that QMA with the ability to inspect the entire history of a hidden variable is equal to NEXP, under mild assumptions on the hidden-variable theory. We also observe that a quantum computer, augmented with quantum advice and the ability to inspect the history of a hidden variable, can solve any decision problem in polynomial time.
Cite as

Scott Aaronson, Sabee Grewal, Vishnu Iyer, Simon C. Marshall, and Ronak Ramachandran. PDQMA = DQMA = NEXP: QMA with Hidden Variables and Non-Collapsing Measurements. In 45th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 360, pp. 3:1-3:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{aaronson_et_al:LIPIcs.FSTTCS.2025.3,
  author =	{Aaronson, Scott and Grewal, Sabee and Iyer, Vishnu and Marshall, Simon C. and Ramachandran, Ronak},
  title =	{{PDQMA = DQMA = NEXP: QMA with Hidden Variables and Non-Collapsing Measurements}},
  booktitle =	{45th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2025)},
  pages =	{3:1--3:17},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-406-2},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{360},
  editor =	{Aiswarya, C. and Mehta, Ruta and Roy, Subhajit},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FSTTCS.2025.3},
  URN =		{urn:nbn:de:0030-drops-250828},
  doi =		{10.4230/LIPIcs.FSTTCS.2025.3},
  annote =	{Keywords: quantum Merlin-Arthur, non-collapsing measurements, hidden-variable theories}
}
Document
DOI: 10.4230/LIPIcs.CCC.2025.5
Improved Separation Between Quantum and Classical Computers for Sampling and Functional Tasks

Authors: Simon C. Marshall, Scott Aaronson, and Vedran Dunjko

Published in: LIPIcs, Volume 339, 40th Computational Complexity Conference (CCC 2025)

Abstract
This paper furthers existing evidence that quantum computers are capable of computations beyond classical computers. Specifically, we strengthen the collapse of the polynomial hierarchy to the second level if: (i) Quantum computers with postselection are as powerful as classical computers with postselection (PostBQP = PostBPP), (ii) any one of several quantum sampling experiments (BosonSampling, IQP, DQC1) can be approximately performed by a classical computer (contingent on existing assumptions). This last result implies that if any of these experiment’s hardness conjectures hold, then quantum computers can implement functions classical computers cannot (FBQP≠ FBPP) unless the polynomial hierarchy collapses to its 2nd level. These results are an improvement over previous work which either achieved a collapse to the third level or were concerned with exact sampling, a physically impractical case. The workhorse of these results is a new technical complexity-theoretic result which we believe could have value beyond quantum computation. In particular, we prove that if there exists an equivalence between problems solvable with an exact counting oracle and problems solvable with an approximate counting oracle, then the polynomial hierarchy collapses to its second level, indeed to ZPP^NP.
Cite as

Simon C. Marshall, Scott Aaronson, and Vedran Dunjko. Improved Separation Between Quantum and Classical Computers for Sampling and Functional Tasks. In 40th Computational Complexity Conference (CCC 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 339, pp. 5:1-5:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{marshall_et_al:LIPIcs.CCC.2025.5,
  author =	{Marshall, Simon C. and Aaronson, Scott and Dunjko, Vedran},
  title =	{{Improved Separation Between Quantum and Classical Computers for Sampling and Functional Tasks}},
  booktitle =	{40th Computational Complexity Conference (CCC 2025)},
  pages =	{5:1--5:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-379-9},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{339},
  editor =	{Srinivasan, Srikanth},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CCC.2025.5},
  URN =		{urn:nbn:de:0030-drops-236991},
  doi =		{10.4230/LIPIcs.CCC.2025.5},
  annote =	{Keywords: Quantum advantage, Approximate counting, Boson sampling}
}
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