Low-depth quantum symmetrization
Zhenning Liu, Andrew M. Childs, Daniel Gottesman

TL;DR
This paper introduces the first efficient quantum algorithms for general symmetrization of lists, enabling advanced quantum simulations and state preparations with low-depth circuits and manageable qubit resources.
Contribution
It presents novel quantum algorithms for symmetrizing lists with repetitions, improving depth and qubit efficiency over prior methods.
Findings
Symmetrizes classical lists with $ ilde{O}( ext{log} n)$ depth.
Symmetrizes superpositions with $ ilde{O}( ext{log}^3 n)$ depth.
Enables efficient bosonic system simulation and Dicke state preparation.
Abstract
Quantum symmetrization is the task of transforming a non-strictly increasing list of integers into an equal superposition of all permutations of the list (or more generally, performing this operation coherently on a superposition of such lists). This task plays a key role in initial state preparation for first-quantized simulations. Motivated by an application to fermionic systems, various algorithms have been proposed to solve a weaker version of symmetrization in which the input list is strictly increasing, but the general symmetrization problem with repetitions in the input list has not been well studied. We present the first efficient quantum algorithms for the general symmetrization problem. If is the greatest possible value of the input list, our first algorithm symmetrizes any single classical input list using depth and ancilla…
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Taxonomy
TopicsQuantum Mechanics and Applications
