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  • Letter
  • Open Access

Decomposing large unitaries into multimode devices of arbitrary size

Christian Arends1,2, Lasse Wolf3, Jasmin Meinecke4,5,6,7, Sonja Barkhofen2,8, Tobias Weich3,2, and Tim J. Bartley2,8

  • 1Department of Mathematics, Aarhus University, Ny Munkegade 118, 8000 Aarhus C, Denmark
  • 2PhoQS, Universität Paderborn, Warburger Strasse 100, 33098 Paderborn, Germany
  • 3Institute of Mathematics, Universität Paderborn, Warburger Strasse 100, 33098 Paderborn, Germany
  • 4Max-Planck-Institut für Quantenoptik, 85748 Garching, Germany
  • 5Department für Physik, Ludwig-Maximilians-Universität, 80539 München, Germany
  • 6Munich Center for Quantum Science and Technology (MCQST), 80799 München, Germany
  • 7Institute of Solid State Physics, Technische Universität Berlin, 10623 Berlin, Germany
  • 8Department of Physics, Universität Paderborn, Warburger Strasse 100, 33098 Paderborn, Germany

Phys. Rev. Research 6, L012043 – Published 29 February, 2024

DOI: https://doi.org/10.1103/PhysRevResearch.6.L012043

Abstract

Decomposing complex unitary evolution into a series of constituent components is a cornerstone of practical quantum information processing. While the decomposition of an n×n unitary into a product of 2×2 subunitaries (which can for example be realized by beam splitters and phase shifters in linear optics) is well established, we show how for any m>2 this decomposition can be generalized into a product of m×m subunitaries (which can then be realized by a more complex device acting on m modes). If the cost associated with building each m×m multimode device is less than constructing with m(m−1)2 individual 2×2 devices, we show that the decomposition of large unitaries into m×m submatrices is more resource efficient and exhibits a higher tolerance to errors, than its 2×2 counterpart. This allows larger-scale unitaries to be constructed with lower errors, which is necessary for various tasks, not least boson sampling, the quantum Fourier transform, and quantum simulations.

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References (35)

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