Silicon-based Quantum Optimisation in the Parity Architecture

优化问题出现在工业的许多领域，包括运输中的调度问题，生产线的改进或财务策略。解决这些优化问题可能是一项艰巨而重要的任务，解决困难的优化问题是经济和战略成功的关键因素。由于传统的计算机系统在解决这些问题的能力方面受到限制，研究替代方法至关重要。量子计算机遵循一种非传统的计算范式，其中问题是基于量子系统的控制和操纵来解决的，所谓的量子比特。为了用量子计算机解决这样的问题，必须将问题的描述呈现为可以由量子计算机表示的公式。奥地利量子架构公司ParityQC的方法甚至可以将困难问题映射到稀疏连接的量子比特网络。Quantum Motion开发硅量子处理器，实现量子算法的演示。将ParityQC架构应用于Quantum Motion的量子处理器，可以提供一种多功能工具来演示和研究解决近期量子技术优化问题的潜力。

Optimization problems appear in many areas of industry including scheduling problems in transportation, improvement of manufacturing lines or within finance strategies. Solving these optimization problems can be a demanding but important task, having the possibility to solve hard optimization problems is a key factor for economic and strategic success. As conventional computer systems are limited in their capability to solve such problems, studying alternative approaches is crucial. Quantum computers follow an unconventional computing paradigm, where problems are solved based on the control and manipulation of quantum systems, so called quantum bits. In order to solve such a problem with a quantum computer, the description of the problem has to be rendered to a formulation which can be represented by the quantum computer. The approach of ParityQC, an Austrian quantum architecture company, enables the mapping of hard problems even to sparsely connected networks of quantum bits. Quantum Motion develops silicon quantum processors, enabling the demonstration of quantum algorithms. Applying the ParityQC architecture to the quantum processors of Quantum Motion leads to a versatile tool to demonstrate and study the potential to solve optimization problems on near-term quantum technologies.