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Spectral gap conjecture

From Wikipedia, the free encyclopedia

In ergodic theory, a branch of mathematics, the spectral gap conjecture of Alexander Lubotzky, Ralph S. Phillips, and Peter Sarnak is a statement on the spectral gaps of certain actions of a free group on the sphere .[1]

Statement

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Any matrix defines an isometry of the sphere , which in turn defines an operator on the Hilbert space . The spectral gap conjecture states that for any integer , if isometries are chosen uniformly at random, then the operator has a nontrivial spectral gap with probability 1.[1]

Progress

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In 2007, Jean Bourgain and Alex Gamburd proved that when the matrices have entries which are all algebraic numbers up to simultaneous conjugation, the resulting operator has a spectral gap.[2] This result was later generalized to the case of .[3] It is known that either there is a nontrivial spectral gap with probability 1 or that the spectral gap is trivial with probability 1.[4] If true, the statement would have applications to quantum computing and the design of universal quantum gate sets.[5][6]

References

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  1. 1 2 Lubotzky, A.; Phillips, R.; Sarnak, P. (1987). "Hecke operators and distributing points on S 2 . II". Communications on Pure and Applied Mathematics. 40 (4): 401–420. doi:10.1002/cpa.3160400402. ISSN 0010-3640.
  2. Bourgain, Jean; Gamburd, Alex (2007-11-29). "On the spectral gap for finitely-generated subgroups of SU(2)". Inventiones mathematicae. 171 (1): 83–121. doi:10.1007/s00222-007-0072-z. ISSN 0020-9910.
  3. Bourgain, Jean; Gamburd, Alex (2012-08-29). "A spectral gap theorem in SU$(d)$". Journal of the European Mathematical Society. 14 (5): 1455–1511. arXiv:1108.6264. doi:10.4171/jems/337. ISSN 1435-9855.
  4. Fisher, D. (2006-01-01). "Out(Fn) and the spectral gap conjecture". International Mathematics Research Notices. doi:10.1155/IMRN/2006/26028. ISSN 1073-7928.
  5. Sawicki, Adam; Karnas, Katarzyna (2017-06-05). "Criteria for universality of quantum gates". Physical Review A. 95 (6). arXiv:1610.00547. doi:10.1103/PhysRevA.95.062303. ISSN 2469-9926.
  6. Dulian, Piotr; Sawicki, Adam (2024). "A Random Matrix Model for Random Approximate t -Designs". IEEE Transactions on Information Theory. 70 (4): 2637–2654. arXiv:2210.07872. doi:10.1109/TIT.2024.3367787. ISSN 0018-9448.