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.

中文翻译：

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双量子点量子计算的模块化可扩展编译


现实量子设备上的任何量子程序都必须编译成可执行形式，同时考虑到底层硬件的限制。物理平台对架构和控制的严格限制使得这非常具有挑战性。在本文中，基于量子变分算法，我们提出了一种新颖的方案来训练 Ansatz 电路，并实现半导体双量子点（一个相当严格约束的系统）中单重态-三重态量子位的一组通用量子门的高保真编译。此外，我们提出了一种可扩展的架构，用于在此受限系统中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，即用于数据库搜索的 Grover 算法（静态编译）和用于 Max-Cut 的变分量子本征解算器的变体优化（动态编译）。我们的方法可能适用于各种物理设备。这项工作为在近期设备上开发先进且复杂的量子算法的潜力奠定了重要的基石。