论文标题

双量子点quatum计算的模块化且可扩展的汇编

Modularized and Scalable Compilation for Double Quantum Dot Quatum Computing

论文作者

He, Run-Hong, Xu, Xu-Sheng, Byrd, Mark S., Wang, Zhao-Ming

论文摘要

在考虑基础硬件约束的同时,必须将现实量子设备上的任何量子程序汇编成可执行的形式。对物理平台对建筑和控制的严格限制使这一挑战性。在本文中,基于量子变异算法,我们提出了一种新的方案,以训练ANSATZ电路并实现半导体双量子点中的单线量子量子的一组通用量子门的高保真汇编,这是一个相当严重的约束系统。此外,我们提出了一个可扩展的体系结构,用于在该约束系统中模块化量子程序的模块化实现,并通过两个代表性演示验证其性能,即Grover的数据库搜索算法(静态汇编)和一个变异量子量化量化量化量的变体eigensolver的变体,以进行最大值优化(动态汇编)。我们的方法可能适用于广泛的物理设备。这项工作构成了在近期设备上利用高级且复杂的量子算法的潜力的重要垫脚石。

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, 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.

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