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Characterization of Exact One-Query Quantum Algorithms for Partial Boolean Functions

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Abstract

The query model (or black-box model) has attracted much attention from the communities of both classical and quantum computing. Usually, quantum advantages are revealed by presenting a quantum algorithm that has a better query complexity than its classical counterpart. In the history of quantum algorithms, the Deutsch algorithm and the Deutsch-Jozsa algorithm play a fundamental role and both are exact one-query quantum algorithms. This leads us to consider the problem: what functions can be computed by exact one-query quantum algorithms? This problem has been addressed in the literature for total Boolean functions and symmetric partial Boolean functions, but is still open for general partial Boolean functions. Thus, in this paper, we continue to characterize the computational power of exact one-query quantum algorithms for general partial Boolean functions. First, we present several necessary and sufficient conditions for a partial Boolean function to be computed by exact one-query quantum algorithms. Second, inspired by these conditions, we discover some new representative functions that can be computed by exact one-query quantum algorithms but have an essential difference from the already known ones. Specially, it is worth pointing out that before our work, the known functions that can be computed by exact one-query quantum algorithms are all symmetric functions and the quantum algorithm used is essentially the Deutsch-Jozsa algorithm, whereas the functions discovered in this paper are generally asymmetric and new algorithms to compute these functions are required. Thus, this expands the class of functions that can be computed by exact one-query quantum algorithms.

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References

  1. Buhrman H, De Wolf R. Complexity measures and decision tree complexity: A survey. Theoretical Computer Science, 2002, 288(1): 21–43. DOI: https://doi.org/10.1016/S0304-3975(01)00144-X.

    Article  MathSciNet  Google Scholar 

  2. Chen W, Ye Z, Li L. Characterization of exact one-query quantum algorithms. Physical Review A, 2020, 101(2): 02232. DOI: https://doi.org/10.1103/PhysRevA.101.022325.

    Article  MathSciNet  Google Scholar 

  3. Ambainis A. Superlinear advantage for exact quantum algorithms. SIAM Journal on Computing, 2016, 45(2): 617–631. DOI: https://doi.org/10.1137/130939043.

    Article  MathSciNet  Google Scholar 

  4. Ambainis A, Gruska J, Zheng S. Exact quantum algorithms have advantage for almost all Boolean functions. Quantum Information and Computation, 2015, 15(5/6): 435–452. DOI: https://doi.org/10.26421/QIC15.5-6-5.

  5. Deutsch D, Jozsa R. Rapid solution of problems by quantum computation. Proceedings of the Royal Society A: Mathematical and Physical Sciences, 1992, 439(1907): 553–558. DOI: https://doi.org/10.1098/rspa.1992.0167.

    Article  Google Scholar 

  6. Mihara T, Sung S. Deterministic polynomial-time quantum algorithms for Simon’s problem. Computational Complexity, 2003, 12(3/4): 162–175. DOI: https://doi.org/10.1007/s00037-003-0181-z.

    Article  MathSciNet  Google Scholar 

  7. He X, Sun X, Yang G, Yuan P. Exact quantum query complexity of weight decision problems via Chebyshev polynomials. arXiv: 1801.05717, 2018. https://arxiv.org/abs/1801.05717, Feb. 2021.

  8. Montanaro A, Jozsa R, Mitchison G. On exact quantum query complexity. Algorithmica, 2013, 71(4): 775–796. DOI: https://doi.org/10.1007/s00453-013-9826-8.

    Article  MathSciNet  Google Scholar 

  9. Ambainis A, Iraids J, Smotrovs J. Exact quantum query complexity of EXACT and THRESHOLD. In Proc. the 8th Conference on the Theory of Quantum Computation, Communication and Cryptography, May 2013, pp.263–269. DOI: 10.4230/LIPIcs.TQC.2013.263.

  10. Ambainis A, Iraids J, Nagaj D. Exact quantum query complexity of EXACTk,1n. In Proc. the 43rd International Conference on Current Trends in Theory and Practice of Computer Science, Jan. 2017, pp.243–255. DOI: 10.1007/978-3-319-51963-0_19.

  11. Cai G, Qiu D. Optimal separation in exact query complexities for Simon’s problem. Journal of Computer and System Sciences, 2018, 97: 83–93. DOI: https://doi.org/10.1016/j.jcss.2018.05.001.

  12. Aaronson S, Ben-David S, Kothari R. Separations in query complexity using cheat sheets. In Proc. the 48th Annual ACM Symposium on Theory of Computing, Jun. 2016, pp.863–876. DOI: 10.1145/2897518.2897644.

  13. Ambainis A, Balodis K, Belovs A, Lee T, Santha M, Smotrovs J. Separations in query complexity based on pointer functions. Journal of the ACM, 2017, 64(5): Article No. 32. DOI: https://doi.org/10.1145/3106234.

  14. Farhi E, Goldstone J, Gutmann S, Sipser M. Limit on the speed of quantum computation in determining parity. Physical Review Letters, 1998, 81(24): 5442–5444. DOI: https://doi.org/10.1103/PhysRevLett.81.5442.

  15. Hayes T, Kutin S, Van Melkebeek D. The Quantum black-box complexity of majority. Algorithmica, 2002, 34(4): 480–501. DOI: https://doi.org/10.1007/s00453-002-0981-6.

  16. Brassard G, Høyer P. An exact quantum polynomial-time algorithm for Simon’s problem. In Proc. the 5th Israel Symposium on Theory of Computing and Systems, Jun. 1997, pp.12–23. DOI: 10.1109/ISTCS.1997.595153.

  17. Qiu D, Zheng S. Generalized Deutsch-Jozsa problem and the optimal quantum algorithm. Physical Review A, 2018, 97(6): 062331. DOI: https://doi.org/10.1103/PhysRevA.97.062331.

    Article  Google Scholar 

  18. Qiu D, Zheng S. Revisiting Deutsch-Jozsa algorithm. Information and Computation, 2020, 275: 104605. DOI: https://doi.org/10.1016/j.ic.2020.104605.

    Article  MathSciNet  Google Scholar 

  19. Aaronson S, Ambainis A, Iraids J, Kokainis M, Smotrovs J. Polynomials, quantum query complexity, and Grothendieck’s Inequality. In Proc. the 31st Conference on Computational Complexity, May 29–June 1, 2016, Article No. 25. DOI: https://doi.org/10.4230/LIPIcs.CCC.2016.25.

  20. Arunachalam S, Briët J, Palazuelos C. Quantum query algorithms are completely bounded forms. SIAM Journal on Computing, 2019, 48(3): 903–925. DOI: https://doi.org/10.1137/18M117563X.

    Article  MathSciNet  Google Scholar 

  21. Beals R, Buhrman H, Cleve R, Mosca M, De Wolf R. Quantum lower bounds by polynomials. Journal of the ACM, 2001, 48(4): 778–797. DOI: https://doi.org/10.1145/502090.502097.

    Article  MathSciNet  Google Scholar 

  22. Simon D R. On the power of quantum computation. SIAM Journal on Computing, 1997, 26(5): 1474–1483. DOI: https://doi.org/10.1137/S0097539796298637.

    Article  MathSciNet  Google Scholar 

  23. Shor P W. Algorithms for quantum computation: Discrete logarithms and factoring. In Proc. the 35th Annual Symposium on Foundations of Computer Science, Nov. 1994, pp.124–134. DOI: 10.1109/SFCS.1994.365700.

  24. Ben-David S, Childs A M, Gilyén A, Kretschmer W, Podder S, Wang D. Symmetries, graph properties, and quantum speedups. In Proc. the 61st IEEE Annual Symposium on Foundations of Computer Science, Nov. 2020, pp.649–660. DOI: 10.1109/FOCS46700.2020.00066.

  25. Aaronson S, Ambainis A. Forrelation: A problem that optimally separates quantum from classical computing. SIAM Journal on Computing, 2018, 47(3): 982–1038. DOI: https://doi.org/10.1137/15M1050902.

    Article  MathSciNet  Google Scholar 

  26. Tal A. Towards optimal separations between quantum and randomized query complexities. In Proc. the 61st IEEE Annual Symposium on Foundations of Computer Science, Nov. 2020, pp.228–239. DOI: 10.1109/FOCS46700.2020.00030.

  27. Bansal N, Sinha M. k-Forrelation optimally separates quantum and classical query complexity. In Proc. the 53rd Annual ACM SIGACT Symposium on Theory of Computing, Jun. 2021, pp.1303–1316. DOI: 10.1145/3406325.3451040.

  28. Sherstov A A, Storozhenko A A, Wu P. An optimal separation of randomized and quantum query complexity. In Proc. the 53rd Annual ACM SIGACT Symposium on Theory of Computing, Jun. 2021, pp.1289–1302. DOI: 10.1145/3406325.3451019.

  29. Xu G, Qiu D. Partial Boolean functions with exact quantum 1-query complexity. Entropy, 2021, 23(2): 189. DOI: https://doi.org/10.3390/e23020189.

    Article  MathSciNet  Google Scholar 

  30. Nielsen M A, Chuang I. Quantum Computation and Quantum Information. Cambridge University Press, 2002.

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Ye, ZK., Li, LZ. Characterization of Exact One-Query Quantum Algorithms for Partial Boolean Functions. J. Comput. Sci. Technol. 38, 1423–1430 (2023). https://doi.org/10.1007/s11390-022-1361-0

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