发表机构
NNF Quantum Computing Programme, Niels Bohr Institute, University of Copenhagen; Quantum Engineering Centre for Doctoral Training, H. H. Wills Physics Laboratory and School of Electrical, Electronic, and Mechanical Engineering, University of Bristol; Nano-Science Center and Department of Chemistry, University of Copenhagen（哥本哈根大学尼尔斯·玻尔研究所; 布里斯托大学电气、电子和机械工程学院; 哥本哈根大学纳米科学中心及化学系）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
提出一种平台感知的编译框架，通过重新编译量子电路为硬件兼容指令集和容错操作，提供端到端资源估算，并引入t-AV架构，在多种硬件上实现高效容错量子计算。
AI 中文摘要
算法的编译过程会随着物理硬件平台和纠错模型的选择而发生显著变化。然而，当前的编译框架通常固定于单一的架构-硬件配置，这使得跨平台评估资源估算变得困难。我们提出了一种平台感知的编译框架，该框架将量子电路重新编译为硬件兼容的指令集以及容错操作，并提供以物理量子比特数、求解时间和经典处理时间表示的端到端资源估算。我们通过为不同的编译器获取端到端资源估算来对框架进行基准测试，每个编译器都针对特定硬件模态的功能进行定制：连接性、时钟速度和噪声模型。作为该框架的一部分，我们引入了一种横向活动体积（t-AV）编译架构，旨在支持长程逻辑连接的平台中高效执行容错操作。我们针对二维费米哈伯德模型的哈密顿量模拟以及一个小分子（三亚甲基甲烷）的本征能量估计对框架进行了基准测试，后者作为早期容错量子化学演示的候选。对于后者，我们展示了端到端量子模拟可以通过约10^4个物理量子比特实现，运行时间范围从10^2毫秒（光子学、超导）到10^5毫秒（中性原子）。
英文摘要
The compilation of an algorithm can vary significantly with the choice of physical hardware platform and error correction model. Yet, current compilation frameworks typically commit to a single architecture-hardware configuration, making it difficult to assess resource estimates across platforms. We present a platform-aware compilation framework that re-compiles a quantum circuit into a hardware-compatible instruction set as well as fault-tolerant operations and provides end-to-end resource estimates in terms of physical-qubit count, time-to-solution, and classical processing time. We benchmark the framework by obtaining end-to-end resource estimates for different compilers, each tailored to the functionalities of specific hardware modalities: connectivity, clock speed, and noise model. As part of this framework, we introduce a transversal active volume (t-AV) compilation architecture designed for the efficient execution of fault-tolerant operations in platforms supporting long-range logical connectivity. We benchmark the framework for Hamiltonian simulation of the 2D Fermi Hubbard model as well as for eigenenergy estimation of a small molecule (trimethylenemethane) as a candidate for early fault-tolerant demonstration of quantum chemistry. For the latter, we show that end-to-end quantum simulations can be achieved with $\sim10^4$ physical qubits and runtimes ranging from $10^2$ ms (photonics, superconducting) to $10^5$ ms (neutral atoms).
Comments31 pages, 16 figures (including appendix)
