Algorithmic quantum-state generation for quantum simulation of a quantum field theory
ORAL
Abstract
We establish two quasilinear quantum algorithms, one Fourier-based and the other wavelet-based, for generating an approximation for the ground state of a quantum field theory (QFT).
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.
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.
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Publication: M. Bagherimehrab, Y. R. Sanders, D. W. Berry, G. K. Brennen, B. C. Sanders, arXiv:2110.05708 (2021)
Presenters
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Mohsen Bagherimehrab
University of Calgary
Authors
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Mohsen Bagherimehrab
University of Calgary
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Yuval R Sanders
University of Technology Sydney
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Dominic W Berry
Macquarie University
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Gavin K Brennen
Macquarie University
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Barry C Sanders
University of Calgary, Institute for Quantum Science and Technology, University of Calgary