skip to main content
column

What can be computed without communications?

Published:17 September 2014Publication History
Skip Abstract Section

Abstract

The main objective of this paper is to provide illustrative examples of distributed computing problems for which it is possible to design tight lower bounds for quantum algorithms without having to manipulate concepts from quantum mechanics, at all. As a case study, we address the following class of 2-player problems. Alice (resp., Bob) receives a boolean x (resp., y) as input, and must return a boolean a (resp., b) as output. A game between Alice and Bob is defined by a pair (?, f) of boolean functions. The objective of Alice and Bob playing game (?, f) is, for every pair (x, y) of inputs, to output values a and b, respectively, satisfying ?(a, b) = f(x, y), in absence of any communication between the two players, but in presence of shared resources. The ability of the two players to solve the game then depends on the type of resources they share. It is known that, for the so-called CHSH game, i.e., for the game a ? b = x ? y, the ability for the players to use entangled quantum bits (qubits) helps. We show that, apart from the CHSH game, quantum correlations do not help, in the sense that, for every game not equivalent to the CHSH game, there exists a classical protocol (using shared randomness) whose probability of success is at least as large as the one of any protocol using quantum resources. This result holds for both worst case and average case analysis. It is achieved by considering a model stronger than quantum correlations, the non-signaling model, which subsumes quantum mechanics, but is far easier to handle.

References

  1. N. Alon, L. Babai, and A. Itai. A fast and simple randomized parallel algorithm for the maximal independent set problem. J. Algorithms 7(4):567--583, 1986. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. H. Arfaoui and P. Fraigniaud. What can be computed without communications? In proc. 19th Int. Colloquium on Structural Information and Communication Complexity (SIROCCO), pages 135--146, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. H. Arfaoui, P. Fraigniaud, and A. Pelc. Local Decision and Verification with Bounded--Size Outputs. In proc. 15th Int. Symp. on Stabilization, Safety, and Security of Distributed Systems (SSS), 2013.Google ScholarGoogle Scholar
  4. L. Barenboim and M. Elkin. Distributed (? + 1)-coloring in linear (in delta) time. In Proc. 41st ACM Symp. on Theory of computing (STOC), pages 111--120, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. L. Barenboim, M. Elkin, S. Pettie, and J. Schneider. The Locality of Distributed Symmetry Breaking. In Proc. 53rd IEEE Symp. on Foundations of Computer Science (FOCS), pages 321--330, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. J. Barrett, N. Linden, S. Massar, S. Pironio, S. Popescu, and D. Roberts. Nonlocal correlations as an information-theoretic resource. Physical Review A 71(2):1--11, 2005.Google ScholarGoogle ScholarCross RefCross Ref
  7. J. Barrett and S. Pironio. Popescu--Rohrlich correlations as a unit of nonlocality. Phys. Rev. Lett. 95(14), 2005.Google ScholarGoogle ScholarCross RefCross Ref
  8. J. S. Bell. On the Einstein-Podolsky-Rosen paradox. Physics 1(3):195--200, 1964.Google ScholarGoogle ScholarCross RefCross Ref
  9. G. Brassard, A. Broadbent, and A. Tapp. Quantum pseudo-telepathy. Foundations of Physics 5:18771907, 2005.Google ScholarGoogle Scholar
  10. A. Broadbent, A. Tapp. Can quantum mechanics help distributed computing? SIGACT News 39(3): 67--76 (2008) Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. H. Buhrman, R. Cleve, S. Massar, and R. deWolf. Non-locality and communication complexity. Reviews of Modern Physics 82:665--698, 2010.Google ScholarGoogle ScholarCross RefCross Ref
  12. H. Buhrman and H. Röhrig. Distributed Quantum Computing. In proc 28th International Symposium on Mathematical Foundations of Computer Science (MFCS), LNCS 2747, pp. 120, 2003.Google ScholarGoogle Scholar
  13. B. S. Cirel'son. Quantum generalizations of bell's inequality. Letters in Math. Phys. 4(2):93--100, 1980.Google ScholarGoogle ScholarCross RefCross Ref
  14. J. F. Clauser, M. A. Horne, A. Shimony, and R. A. Holt. Proposed experiment to test local Hidden-variable theories. Physical Review Letters 23(15):880--884, 1969.Google ScholarGoogle ScholarCross RefCross Ref
  15. W. van Dam. Implausible Consequences of Superstrong Nonlocality. Natural Computing 12(1): 9--12 (2013) Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. V. Denchev and G. Pandurangan. Distributed quantum computing: a new frontier in distributed systems or science fiction? SIGACT News 39(3): 77--95 (2008) Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. B. Derbel, C. Gavoille, D. Peleg, and L. Viennot. On the locality of distributed sparse spanner construction. In proc. 27th ACM Symp. on Principles of Distributed Computing (PODC), pages 273--282, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. F. Dupuis, N. Gisin, A. Hasidim, A. Allan Méthot, and H. Pilpel. No nonlocal box is universal. J. Math. Phys. 48(082107), 2007.Google ScholarGoogle Scholar
  19. A. Einstein, B. Podolsky, and N. Rosen. Can quantum-mechanical description of physical reality be considered complete? Physical Review, 47(10):777--780, 1935.Google ScholarGoogle ScholarCross RefCross Ref
  20. M. Elkin. A near-optimal fully dynamic distributed algorithm for maintaining sparse spanners. In proc. 26th ACM Symp. on Principles of Distributed Computing (PODC), pages 195--204, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. M. Elkin, H. Klauck, D. Nanongkai, and G. Pandurangan. Quantum Lower Bounds for Distributed Network Computing. Tech. Report arXiv:1207.5211 (2013)Google ScholarGoogle Scholar
  22. P. Fraigniaud, A. Korman, and D. Peleg. Local distributed decision. In proc. 52nd Annual IEEE Symposium on Foundations of Computer Science (FOCS), pp 708--717, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. P. Fraigniaud, S. Rajsbaum, and C. Travers. Locality and checkability in wait-free computing. 25th International Symposium on Distributed Computing (DISC), pp 333--347, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. P. Fraigniaud, S. Rajsbaum, and C. Travers. An Impossibility Result for Run-Time Monitoring. Submitted, 2013.Google ScholarGoogle Scholar
  25. S. J. Freedman and J. F. Clauser Experimental Test of Local Hidden-Variable Theories. Phys. Rev. Lett. 28, 938--941 (1972)Google ScholarGoogle ScholarCross RefCross Ref
  26. C. Gavoille, R. Klasing, A. Kosowski, L. Kuszner, and A. Navarra. On the complexity of distributed graph coloring with local minimality constraints. Networks 54(1): 12--19 (2009) Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. C. Gavoille, A. Kosowski, and M. Markiewicz. What Can Be Observed Locally? In proc. 23rd Int. Symposium on Distributed Computing (DISC), pages 243--257, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Ghirardi, G. C. and Rimini, A. and Weber, T. A general argument against superluminal transmission through the quantum mechanical measurement process Lett. Nuovo Cimento 27:293--298, 1980.Google ScholarGoogle Scholar
  29. A. Korman, S. Kutten, and D. Peleg. Proof labeling schemes. Distributed Computing 22, (2010), 215--233.Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. F. Kuhn. Weak graph colorings: distributed algorithms and applications. In Proc. 21st ACM Symp. on Parallel Algorithms and Architectures (SPAA), pages 138--144, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. F. Kuhn, T. Moscibroda, and R. Wattenhofer. What cannot be computed locally! In proc 23rd ACM Symp. on Principles of Distributed Computing (PODC), pages 300--309, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. N. Linial. Locality in Distributed Graph Algorithms. SIAM J. Comput. 21(1): 193--201 (1992) Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. M. Luby. A simple parallel algorithm for the maximal independent set problem. SIAM J. Comput. 15:1036--1053 (1986). Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. M. Naor and L. Stockmeyer. What can be computed locally? SIAM J. Comput. 24(6): 1259--1277 (1995). Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. A. Panconesi and A. Srinivasan. On the Complexity of Distributed Network Decomposition. J. Algorithms 20(2): 356--374 (1996). Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. D. Peleg. Distributed computing: A locality-sensitive approach. SIAM, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. S. Popescu and D. Rohrlich. Quantum nonlocality as an axiom. Foundations of Physics 24(3):379--385, 1994.Google ScholarGoogle ScholarCross RefCross Ref
  38. J. Schneider and R. Wattenhofer. A new technique for distributed symmetry breaking. In Proc. 29th ACM Symp. on Principles of Distributed Computing (PODC), 257--266, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. What can be computed without communications?

          Recommendations

          Comments

          Login options

          Check if you have access through your login credentials or your institution to get full access on this article.

          Sign in

          Full Access

          • Published in

            cover image ACM SIGACT News
            ACM SIGACT News  Volume 45, Issue 3
            September 2014
            126 pages
            ISSN:0163-5700
            DOI:10.1145/2670418
            Issue’s Table of Contents

            Copyright © 2014 Authors

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 17 September 2014

            Check for updates

            Qualifiers

            • column

          PDF Format

          View or Download as a PDF file.

          PDF

          eReader

          View online with eReader.

          eReader