Bulletin of the American Physical Society
APS March Meeting 2022
Volume 67, Number 3
Monday–Friday, March 14–18, 2022; Chicago
Session M40: Quantum Algorithms
8:00 AM–10:36 AM,
Wednesday, March 16, 2022
Room: McCormick Place W-196B
Sponsoring
Unit:
DQI
Chair: Junyu Liu, University of Chicago
Abstract: M40.00008 : Algorithmic quantum-state generation for quantum simulation of a quantum field theory*
9:48 AM–10:00 AM
Presenter:
Mohsen Bagherimehrab
(University of Calgary)
Authors:
Mohsen Bagherimehrab
(University of Calgary)
Yuval R Sanders
(University of Technology Sydney)
Dominic W Berry
(Macquarie University)
Gavin K Brennen
(Macquarie University)
Barry C Sanders
(University of Calgary)
Our quantum algorithms deliver a super-quadratic speedup over the state-of-the-art quantum algorithm for ground-state generation, overcome the ground-state-generation bottleneck of the prior approach and are optimal up to polylogarithmic factors. Specifically, our quantum algorithms generate the ground state of a free massive scalar-bosonic QFT with gate complexity quasilinear in the number of discretized-QFT modes. We show that the wavelet-based algorithm is advantageous over the Fourier-based algorithms for QFTs with a broken translational invariance and generating states beyond the free-field ground state. Our algorithms require a routine for generating one-dimensional Gaussian (1DG) states. We replace the standard method for 1DG-state generation, which requires the quantum computer to perform costly arithmetic, with a novel method based on inequality testing that significantly reduces the need for arithmetic. Our method for 1DG-state generation is generic and could be extended to preparing states whose amplitudes can be computed on the fly by a quantum computer.
This work is available at https://arxiv.org/abs/2110.05708.
*We acknowledge support from the Government of Alberta; the Natural Sciences and Engineering Research Council of Canada (NSERC); the Australian Research Council (ARC) via the Centre of Excellence in Engineered Quantum Systems (EQuS), Project Numbers DP200100950, DP190102633, DP210101367 and DP200102152; and Google Quantum AI.
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