Unitary Property Testing Lower Bounds by Polynomials

Authors Adrian She, Henry Yuen



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Author Details

Adrian She
  • University of Toronto, Canada
Henry Yuen
  • Columbia University, New York, NY, USA

Acknowledgements

We thank Joshua Grochow for helpful conversations about invariant theory. We thank Shivam Nadimpalli for suggesting the problem about testing k-locality of a Hamiltonian. We thank Kunal Marwaha and Gregory Rosenthal for helpful discussions. We thank the reviewers for their feedback.

Cite As Get BibTex

Adrian She and Henry Yuen. Unitary Property Testing Lower Bounds by Polynomials. In 14th Innovations in Theoretical Computer Science Conference (ITCS 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 251, pp. 96:1-96:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023) https://doi.org/10.4230/LIPIcs.ITCS.2023.96

Abstract

We study unitary property testing, where a quantum algorithm is given query access to a black-box unitary and has to decide whether it satisfies some property. In addition to containing the standard quantum query complexity model (where the unitary encodes a binary string) as a special case, this model contains "inherently quantum" problems that have no classical analogue. Characterizing the query complexity of these problems requires new algorithmic techniques and lower bound methods.
Our main contribution is a generalized polynomial method for unitary property testing problems. By leveraging connections with invariant theory, we apply this method to obtain lower bounds on problems such as determining recurrence times of unitaries, approximating the dimension of a marked subspace, and approximating the entanglement entropy of a marked state. We also present a unitary property testing-based approach towards an oracle separation between QMA and QMA(2), a long standing question in quantum complexity theory.

Subject Classification

ACM Subject Classification
  • Theory of computation → Quantum complexity theory
  • Theory of computation → Quantum complexity theory
Keywords
  • Quantum query complexity
  • polynomial method
  • unitary property testing
  • quantum proofs
  • invariant theory
  • quantum recurrence time
  • entanglement entropy
  • BQP
  • QMA
  • QMA(2)

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References

  1. Scott Aaronson. Impossibility of succinct quantum proofs for collision-freeness. arXiv preprint, 2011. URL: http://arxiv.org/abs/1101.0403.
  2. Scott Aaronson. Open problems related to quantum query complexity. ACM Transactions on Quantum Computing, 2(4):1-9, 2021. Google Scholar
  3. Scott Aaronson, Salman Beigi, Andrew Drucker, Bill Fefferman, and Peter Shor. The power of unentanglement. In 2008 23rd Annual IEEE Conference on Computational Complexity, pages 223-236. IEEE, 2008. Google Scholar
  4. Scott Aaronson, Robin Kothari, William Kretschmer, and Justin Thaler. Quantum lower bounds for approximate counting via Laurent polynomials. In 35th Computational Complexity Conference (CCC 2020). Schloss Dagstuhl-Leibniz-Zentrum für Informatik, 2020. Google Scholar
  5. Scott Aaronson and Greg Kuperberg. Quantum versus classical proofs and advice. Theory of Computing, 3:129-157, 2007. Google Scholar
  6. Scott Aaronson and Yaoyun Shi. Quantum lower bounds for the collision and the element distinctness problems. Journal of the ACM (JACM), 51(4):595-605, 2004. Google Scholar
  7. Dorit Aharonov, Jordan Cotler, and Xiao-Liang Qi. Quantum algorithmic measurement. Nature communications, 13(1):1-9, 2022. Google Scholar
  8. Andris Ambainis. Polynomial degree vs. quantum query complexity. Journal of Computer and System Sciences, 72(2):220-238, 2006. Google Scholar
  9. Andris Ambainis. Understanding quantum algorithms via query complexity. In Proceedings of the International Congress of Mathematicians: Rio de Janeiro 2018, pages 3265-3285. World Scientific, 2018. Google Scholar
  10. Robert Beals, Harry Buhrman, Richard Cleve, Michele Mosca, and Ronald de Wolf. Quantum lower bounds by polynomials. Journal of the ACM (JACM), 48(4):778-797, 2001. Google Scholar
  11. Aleksandrs Belovs. Variations on quantum adversary. arXiv preprint, 2015. URL: http://arxiv.org/abs/1504.06943.
  12. Aleksandrs Belovs and Ansis Rosmanis. Tight quantum lower bound for approximate with quantum states. arXiv preprint, 2020. URL: http://arxiv.org/abs/2002.06879.
  13. Charles H Bennett, Ethan Bernstein, Gilles Brassard, and Umesh Vazirani. Strengths and weaknesses of quantum computing. SIAM journal on Computing, 26(5):1510-1523, 1997. Google Scholar
  14. Hugue Blier and Alain Tapp. All languages in NP have very short quantum proofs. In 2009 Third International Conference on Quantum, Nano and Micro Technologies, pages 34-37, 2009. URL: https://doi.org/10.1109/ICQNM.2009.21.
  15. P Bocchieri and A Loinger. Quantum recurrence theorem. Physical Review, 107(2):337, 1957. Google Scholar
  16. Zvika Brakerski, Devika Sharma, and Guy Weissenberg. Unitary subgroup testing. arXiv preprint, 2021. URL: http://arxiv.org/abs/2104.03591.
  17. Richard Brauer. On algebras which are connected with the semisimple continuous groups. Annals of Mathematics, pages 857-872, 1937. Google Scholar
  18. Mark Bun, Robin Kothari, and Justin Thaler. The polynomial method strikes back: Tight quantum query bounds via dual polynomials. In Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing, pages 297-310, 2018. Google Scholar
  19. Jing Chen and Andrew Drucker. Short multi-prover quantum proofs for SAT without entangled measurements. arXiv preprint, 2010. URL: http://arxiv.org/abs/1011.0716.
  20. Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, and Jerry Li. A hierarchy for replica quantum advantage. arXiv preprint, 2021. URL: http://arxiv.org/abs/2111.05874.
  21. Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, and Jerry Li. Exponential separations between learning with and without quantum memory. In 2021 IEEE 62nd Annual Symposium on Foundations of Computer Science (FOCS), pages 574-585. IEEE, 2022. Google Scholar
  22. Thomas Chen, Shivam Nadimpalli, and Henry Yuen. Testing and learning quantum juntas nearly optimally. arXiv preprint, 2022. URL: http://arxiv.org/abs/2207.05898.
  23. Daniel Copeland and Jamie Pommersheim. Quantum query complexity of symmetric oracle problems. Quantum, 5:403, 2021. Google Scholar
  24. Marcel Dall'Agnol, Tom Gur, Subhayan Roy Moulik, and Justin Thaler. Quantum proofs of proximity. arXiv preprint, 2021. URL: http://arxiv.org/abs/2105.03697.
  25. Ronald de Wolf. A note on quantum algorithms and the minimal degree of epsilon-error polynomials for symmetric functions. arXiv preprint, 2008. URL: http://arxiv.org/abs/0802.1816.
  26. Tom Gur, Min-Hsiu Hsieh, and Sathyawageeswar Subramanian. Sublinear quantum algorithms for estimating von Neumann entropy. arXiv preprint, 2021. URL: http://arxiv.org/abs/2111.11139.
  27. Aram W Harrow and Ashley Montanaro. Testing product states, quantum Merlin-Arthur games and tensor optimization. Journal of the ACM (JACM), 60(1):3, 2013. Google Scholar
  28. Patrick Hayden, Debbie W. Leung, and Andreas Winter. Aspects of generic entanglement. Communications in Mathematical Physics, 265(1):95-117, March 2006. URL: https://doi.org/10.1007/s00220-006-1535-6.
  29. William Kretschmer. The Quantum Supremacy Tsirelson Inequality. Quantum, 5:560, October 2021. URL: https://doi.org/10.22331/q-2021-10-07-560.
  30. Samuel Kutin. A quantum lower bound for the collision problem. arXiv preprint, 2003. URL: http://arxiv.org/abs/quant-ph/0304162.
  31. Yi-Kai Liu, Matthias Christandl, and Frank Verstraete. Quantum computational complexity of the n-Representability Problem: QMA complete. Physical Review Letters, 98(11), March 2007. URL: https://doi.org/10.1103/physrevlett.98.110503.
  32. Olivier Marchal. Matrix models, Toeplitz determinants and recurrence times for powers of random unitary matrices, 2014. URL: https://doi.org/10.48550/arXiv.1412.3085.
  33. Chris Marriott and John Watrous. Quantum Arthur-Merlin games. Computational Complexity, 14(2):122-152, 2005. Google Scholar
  34. Marvin Minsky and Seymour Papert. Perceptrons. MIT press, 2017. Google Scholar
  35. Ashley Montanaro and Ronald de Wolf. A survey of quantum property testing. arXiv preprint, 2013. URL: http://arxiv.org/abs/1310.2035.
  36. Noam Nisan and Mario Szegedy. On the degree of Boolean functions as real polynomials. Computational complexity, 4(4):301-313, 1994. Google Scholar
  37. Ramamohan Paturi. On the degree of polynomials that approximate symmetric Boolean functions (preliminary version). In Proceedings of the Twenty-Fourth Annual ACM Symposium on Theory of Computing, STOC '92, pages 468-474, New York, NY, USA, 1992. Association for Computing Machinery. URL: https://doi.org/10.1145/129712.129758.
  38. C Procesi. The invariant theory of n × n matrices. Advances in Mathematics, 19(3):306-381, 1976. URL: https://doi.org/10.1016/0001-8708(76)90027-X.
  39. Ben W Reichardt. Reflections for quantum query algorithms. In Proceedings of the Twenty-Second Annual ACM-SIAM Symposium on Discrete Algorithms, pages 560-569. SIAM, 2011. Google Scholar
  40. Benoit Saussol. An introduction to quantitative Poincaré recurrence in dynamical systems. Reviews in Mathematical Physics, 21(08):949-979, 2009. Google Scholar
  41. Adrian She and Henry Yuen. Unitary property testing lower bounds by polynomials. arXiv preprint, 2022. URL: http://arxiv.org/abs/2210.05885.
  42. Alexander A Sherstov. The intersection of two halfspaces has high threshold degree. SIAM Journal on Computing, 42(6):2329-2374, 2013. Google Scholar
  43. Mehdi Soleimanifar and John Wright. Testing matrix product states. In Proceedings of the 2022 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pages 1679-1701. SIAM, 2022. Google Scholar
  44. Robert Spalek. A dual polynomial for OR. arXiv preprint, 2008. URL: http://arxiv.org/abs/0803.4516.
  45. Robert Špalek and Mario Szegedy. All quantum adversary methods are equivalent. In International Colloquium on Automata, Languages, and Programming, pages 1299-1311. Springer, 2005. Google Scholar
  46. Guoming Wang. Property testing of unitary operators. Physical Review A, 84(5):052328, 2011. Google Scholar
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