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Published October 6, 2022 | public
Journal Article

Holomorphic representation of quantum computations

Abstract

We study bosonic quantum computations using the Segal-Bargmann representation of quantum states. We argue that this holomorphic representation is a natural one which not only gives a canonical description of bosonic quantum computing using basic elements of complex analysis but also provides a unifying picture which delineates the boundary between discrete- and continuous-variable quantum information theory. Using this representation, we show that the evolution of a single bosonic mode under a Gaussian Hamiltonian can be described as an integrable dynamical system of classical Calogero-Moser particles corresponding to the zeros of the holomorphic function, together with a conformal evolution of Gaussian parameters. We explain that the Calogero-Moser dynamics is due to unique features of bosonic Hilbert spaces such as squeezing. We then generalize the properties of this holomorphic representation to the multimode case, deriving a non-Gaussian hierarchy of quantum states and relating entanglement to factorization properties of holomorphic functions. Finally, we apply this formalism to discrete- and continuous- variable quantum measurements and obtain a classification of subuniversal models that are generalizations of Boson Sampling and Gaussian quantum computing.

Additional Information

We thank the anonymous referees for their comments. UC acknowledges inspiring discussions with T. Vidick, J. Preskill, S. Ghazi Nezami, P.-E. Emeriau, R. I. Booth, F. Arzani, G. Ferrini, D. Markham, F. Grosshans, and M. Walschaers. SM acknowledges insightful discussions with J. Preskill, T. Vidick, J. Slote and S. Ghazi Nezami. SM gratefully acknowledges the hospitality of the Simons Institute for the theory of computing during Spring 2020 where several basic aspects of this project were motivated. UC and SM acknowledge funding provided by the Institute for Quantum Information and Matter, an NSF Physics Frontiers Center (NSF Grant PHY-1733907).

Additional details

Created:
August 22, 2023
Modified:
October 24, 2023