Quantum optimised Electric Vehicle charger locations

量子优化列车时刻表公共轨道交通网络的规划和运营涉及乘客服务、基础设施管理、可行和安全运营的基础设施管理以及网络对中断的恢复能力的复杂平衡。为了有效地实现这些目标，需要快速和高质量的优化。优化支持战略、战术和运营决策；这包括列车路线和频率的线路规划、在现有基础设施下可行且稳健的计划时刻表、乘务管理，以及因应延误而重新安排列车时刻表。通常，这些优化问题对于实际网络规模的精确求解器来说是难以解决的；近似优化器用于以较低的解质量为代价提供更快的解。使用量子计算机，Q-CTRL预计将提高快速获得的解决方案的质量；质量提高几个百分点可以对应于运输时间的大幅改善、对延误的稳健性以及运营成本和排放的减少。Q-CTRL将与交通部(DFT)和Network Rail合作，解决关键用例，如受基础设施能力约束的列车时刻表优化，以及中断响应管理。Q-CTRL将设计和部署一个量子算法，在OQC量子计算机上执行列车时刻表优化。Q-CTRL在量子解决方案设计和基础设施软件方面的世界领先专业知识可最大限度地提高硬件性能，与OQC最先进的量子计算机相结合，将为这一高优先级应用提供当前量子计算性能的清晰图景，并提供从量子计算机提供增强型解决方案的加速路线图。

Quantum optimised train schedules Planning and operation of public rail transport networks involves a complex balance of passenger service, infrastructure management for feasible and safe operations, and network resilience to disruption. To effectively meet these objectives, fast and high-quality optimisations are needed. Optimisation supports strategic, tactical, and operational decisions; this includes line planning of train routes and frequencies, planning schedules that are feasible and robust with available infrastructure, crew management, and train timetable rescheduling in response to delays. Typically these optimisation problems are intractable for exact solvers on the scale of practical networks; approximate optimisers are used to provide faster solutions at the cost of lower solution quality. Using quantum computers, Q-CTRL expects to improve the quality of solutions obtained rapidly; a few percent improvement in quality can correspond to substantial improvements in transit time, robustness to delays, and reductions in operating costs and emissions.Q-CTRL will work with the Department for Transport (DfT) and Network Rail to address key use cases such as train schedule optimisation subject to infrastructure capacity, and disruption response management. Q-CTRL will design and deploy a quantum algorithm to perform train schedule optimisation on OQC quantum computers. The combination of Q-CTRL's world-leading expertise in quantum solution design and infrastructure software to maximise hardware performance, together with OQC's state-of-the-art quantum computers, will provide a clear picture of current quantum computing performance for this high-priority application, and an accelerated roadmap to deliver enhanced solutions from quantum computers.