Modularized and scalable compilation for quantum program in double quantum dots

• URL: http://arxiv.org/abs/2211.05300v1
• Date: Thu, 10 Nov 2022 02:32:39 GMT
• Title: Modularized and scalable compilation for quantum program in double quantum dots
• Authors: Run-Hong He, Xu-Sheng Xu, Mark S. Byrd and Zhao-Ming Wang
• Abstract summary: We train the Ansatz circuit and exemplarily realize high-fidelity compilation of a series of universal quantum gates for singlet-triplet qubits in semiconductor double quantum dots. Our work constitutes an important stepping-stone for exploiting the potential of this physical resource for advanced and complicated quantum algorithms.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Any quantum program requires compiling into an executable form according to the underlying hardware characteristics. While the stringent restrictions on control imposed by certain physical platforms may make this task challenging. In this paper, based on the quantum variational algorithm, we propose an novel scheme to train the Ansatz circuit and exemplarily realize high-fidelity compilation of a series of universal quantum gates for singlet-triplet qubits in semiconductor double quantum dots, a typical heavily constrained system. Furthermore, we propose a scalable architecture to modularly implement quantum programs in this constrained systems and validate its performance with two representative and meaningful demonstrations, i.e., 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 work constitutes an important stepping-stone for exploiting the potential of this physical resource for advanced and complicated quantum algorithms.

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