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arXiv 1608.02607quant-ph
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量子处理器中有效物理层经典控制的函数基础

A functional basis for efficient physical-layer classical control in quantum processors

H. Ball, T. Nguyen, P. H. W. Leong, M. J. Biercuk

摘要:

在信息处理的量子相干设备的发展中看到的快速进展促使人们认真考虑量子计算机的体系结构和组织。一个仍然开放的研究和优化主题涉及经典量子接口的设计,其中根据更高级别的算法对单个量子位进行控制操作;适应对性能和可扩展性的竞争需求仍然是一个重大的突出挑战。在这项工作中,我们提出了一个资源有效的,可扩展的框架实现嵌入式物理层经典控制器的量子信息系统。设计驱动程序和关键功能的介绍,导致沃尔什功能的选择作为一个有效的功能基础,编程和控制器的硬件实现。这种方法利用了经典数字硬件中实时沃尔什函数生成的简单性,以及已知各种物理层控制(如动态误差抑制)属于沃尔什家族的事实。我们实验实现了一个实时的基于FPGA的沃尔什控制器产生沃尔什定时信号和沃尔什合成模拟波形的关键任务,在抗错误的量子控制和噪声特性。这些演示代表了实现与大规模量子信息处理兼容的物理层控制的统一框架的第一步。

英文摘要:

The rapid progress seen in the development of quantum coherent devices for information processing has motivated serious consideration of quantum computer architecture and organization. One topic which remains open for investigation and optimization relates to the design of the classical-quantum interface, where control operations on individual qubits are applied according to higher-level algorithms; accommodating competing demands on performance and scalability remains a major outstanding challenge. In this work we present a resource-efficient, scalable framework for the implementation of embedded physical-layer classical controllers for quantum information systems. Design drivers and key functionalities are introduced, leading to the selection of Walsh functions as an effective functional basis for both programming and controller hardware implementation. This approach leverages the simplicity of real-time Walsh-function generation in classical digital hardware, and the fact that a wide variety of physical-layer controls such as dynamic error suppression are known to fall within the Walsh family. We experimentally implement a real-time FPGA-based Walsh controller producing Walsh timing signals and Walsh-synthesized analog waveforms appropriate for critical tasks in error-resistant quantum control and noise characterization. These demonstrations represent the first step towards a unified framework for the realization of physical-layer controls compatible with large-scale quantum information processing.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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