Quantum Computation for Engineering

许多工作研究了针对量子计算机新兴技术的不同算法的开发。此外，现代工程需要越来越多的计算能力。它被用于产生式设计、计算流体力学和数字双胞胎等领域。量子计算机似乎很快就能满足这种计算需求。然而，似乎缺乏弥合这一差距的工作，以及研究如何将这些量子算法用于工程应用的工作。这种利用可能允许显著加快工程计算问题的解决，以及允许我们询问以前太大的解空间。本项目的目标是：1.研究不同的量子算法，它们显示出增强或取代经典工程计算的潜力。探索如何对不同的工程问题进行重构，以最大限度地利用量子计算。了解执行所需计算所需的量子计算机的规模。这些目标将通过实现以下目标来实现：1.通过完成布里斯托尔大学的相关单元来发展量子信息和量子计算领域的知识。通过广泛的文献综述，对该领域的研究现状进行调查。这将旨在确定存在哪些类型的算法，以及如何取代它们的经典同行。利用文献综述为潜在可替代的经典工程计算建立一系列标准。开始探索不同的工程计算，寻找可以轻松实现量子计算和/或收益成比例高的领域。研究如何重构工程问题以实现量化求解。发展一种量子电路，既能解决现有问题，也能简化概念证明。比较量子方法和经典方法的性能，量化潜在的性能提升。这应该考虑到量子计算硬件的当前状态，并预测未来的改进可能如何影响相对性能。评估实现期望的性能提升所需的量子计算硬件的规模。该项目属于EPSRC工程设计研究领域。这项工作是与设计和制造未来实验室合作进行的。

Much work investigates the development of different algorithms for the emerging technology of quantum computers. In addition, modern engineering demands an ever increasing amount of computational power. This is used in the fields of generative design, computational fluid dynamics, and digital twins to name a few. Quantum computers seem well positioned to meet this computational demand soon. However, there seems to be a lack of work bridging this gap and investigating how these quantum algorithms might be utilised for engineering applications. This utilisation may allow a significant speed up of computational problem solving for engineering, as well as allowing us to interrogate solution spaces previously too large.This project aims to:1. investigate the different quantum algorithms which show potential for enhancing or replacing classical engineering computation.2. Explore how different engineering problems can be restructured to make the mostuse of quantum computation.3. Discover what scale of quantum computers might be necessary to perform thedesired computations.These aims will be met by achieving the following objectives:1. Develop a knowledge of the field of quantum information and quantum computationby completing the relevant University of Bristol units.2. Investigating the state of the research field through an extensive literature review.This will aim to identify what types of algorithms exist and how have the replacedtheir classical counterparts already.3. Creating a series of criteria for potentially replaceable classical engineeringcomputations using the literature review.4. Begin an exploration of different engineering computations, searching for areaswhere quantum computation could be easily implemented and/or where the benefitwould be proportionally high.5. Investigate how the engineering problem can be refactored to enable quantumsolving.6. Development of a quantum circuit capable of solving either the problem as it stands,or a simplified version for proof of concept.7. Compare the performance of the quantum approach with the classical approach toquantify the potential performance increase. This should consider the current stateof quantum computing hardware and make predictions about how futureimprovements might impact the relative performance.8. Evaluate the scale of quantum computing hardware required to achieve the desiredperformance increase.This project falls within the EPSRC Engineering Design research area. This work is beingconducted in collaboration with the Design and Manufacturing Futures Lab.