Modularized and scalable compilation for double quantum dot quantum computing
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Published:2023-10-13
Issue:1
Volume:9
Page:015004
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ISSN:2058-9565
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Container-title:Quantum Science and Technology
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language:
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Short-container-title:Quantum Sci. Technol.
Author:
He Run-HongORCID,
Xu Xu-Sheng,
Byrd Mark S,
Wang Zhao-MingORCID
Abstract
Abstract
Any quantum program on a realistic quantum device must be compiled into an executable form while taking into account the underlying hardware constraints. Stringent restrictions on architecture and control imposed by physical platforms make this very challenging. In this paper, based on the quantum variational algorithm, we propose a novel scheme to train an Ansatz circuit and realize high-fidelity compilation of a set of universal quantum gates for singlet-triplet qubits in semiconductor double quantum dots, a fairly heavily constrained system. Furthermore, we propose a scalable architecture for a modular implementation of quantum programs in this constrained systems and validate its performance with two representative demonstrations, the Grover’s algorithm for the database searching (static compilation) and a variant of variational quantum eigensolver for the Max-Cut optimization (dynamic compilation). Our methods are potentially applicable to a wide range of physical devices. This work constitutes an important stepping-stone for exploiting the potential for advanced and complicated quantum algorithms on near-term devices.
Funder
National Science Foundation of the US
National Natural Science Foundation of China
Natural Science Foundation of Shandong Province
Young Scientists Fund of the National Natural Science Foundation of China
Subject
Electrical and Electronic Engineering,Physics and Astronomy (miscellaneous),Materials Science (miscellaneous),Atomic and Molecular Physics, and Optics