论文标题
自适应量子设备设计的进化计算
Evolutionary computation for adaptive quantum device design
论文作者
论文摘要
随着嘈杂的中间尺度量子（NISQ）设备的量子数量生长，确定给定应用程序的良好甚至适当的参数配置，或者用于设备校准，成为一项繁琐的任务。这里提出了一种进化算法，该算法允许自动调整耦合Qubits的任何布置的参数，以执行具有高保真度的给定任务。该算法的用法用代量态分布和多量门的设计的方案的产生来举例说明。该算法被证明可以非常迅速地收敛，从而产生了无法预料的量子设备设计，这些设备可以执行其所需的任务，并具有出色的保真度。鉴于这些有希望的结果，实际的可伸缩性和应用多功能性，该方法有可能成为有助于NISQ设备设计和校准的强大技术。
As Noisy Intermediate-Scale Quantum (NISQ) devices grow in number of qubits, determining good or even adequate parameter configurations for a given application, or for device calibration, becomes a cumbersome task. An evolutionary algorithm is presented here which allows for the automatic tuning of the parameters of any arrangement of coupled qubits, to perform a given task with high fidelity. The algorithm's use is exemplified with the generation of schemes for the distribution of quantum states and the design of multi-qubit gates. The algorithm is demonstrated to converge very rapidly, yielding unforeseeable designs of quantum devices that perform their required tasks with excellent fidelities. Given these promising results, practical scalability and application versatility, the approach has the potential to become a powerful technique to aid the design and calibration of NISQ devices.
