OpenQASM 3:一种更广泛、更深层次的量子汇编语言

Andrew W. Cross, Ali Javadi-Abhari, Thomas Alexander, N. de Beaudrap, L. Bishop, S. Heidel, C. Ryan, P. Sivarajah, J. Smolin, J. Gambetta, Blake R. Johnson
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引用次数: 96

摘要

量子汇编语言是一种与机器无关的语言,传统上用于描述电路模型中的量子计算。开放量子汇编语言(OpenQASM 2)是在早期量子汇编语言方言的基础上提出的一种用于量子电路的命令式编程语言。原则上,任何量子计算都可以使用OpenQASM 2来描述,但是需要描述一组更广泛的电路,而不仅仅是量子比特和门的语言。通过检查交互用例,我们认识到量子-经典相互作用的两种不同的时间尺度:必须在量子比特的相干时间内执行的实时经典计算,以及时间不太严格的近时间计算。由于现有的编程框架已经充分描述了近时间域,我们选择在OpenQASM 3中关注实时域,这必须与量子操作的执行更紧密地耦合。我们增加了对任意控制流以及调用外部经典函数的支持。此外,我们认识到需要在多个层次上描述电路的特异性,因此我们扩展了语言,包括时序,脉冲控制和门调节器。这些新的语言特性为电路开发和优化以及用于校准、表征和减少错误的控制序列实现创建了多层次的中间表示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
OpenQASM 3: A Broader and Deeper Quantum Assembly Language
Quantum assembly languages are machine-independent languages that traditionally describe quantum computation in the circuit model. Open quantum assembly language (OpenQASM 2) was proposed as an imperative programming language for quantum circuits based on earlier QASM dialects. In principle, any quantum computation could be described using OpenQASM 2, but there is a need to describe a broader set of circuits beyond the language of qubits and gates. By examining interactive use cases, we recognize two different timescales of quantum-classical interactions: real-time classical computations that must be performed within the coherence times of the qubits, and near-time computations with less stringent timing. Since the near-time domain is adequately described by existing programming frameworks, we choose in OpenQASM 3 to focus on the real-time domain, which must be more tightly coupled to the execution of quantum operations. We add support for arbitrary control flow as well as calling external classical functions. In addition, we recognize the need to describe circuits at multiple levels of specificity, and therefore we extend the language to include timing, pulse control, and gate modifiers. These new language features create a multi-level intermediate representation for circuit development and optimization, as well as control sequence implementation for calibration, characterization, and error mitigation.
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