The Quantum Accelerator for Materials Design (QuAMaD)

今天的制药、化学和材料公司依靠模拟来开发新材料和药物。但我们目前使用的计算机还不足以模拟大分子或“固态”材料，这些材料用于构建电子元件和设备。这就是量子计算机可以提供帮助的地方。量子计算机是一种新型的强大计算机。它们基于称为量子比特的构建块。量子计算机需要变得更大，才能强大到足以帮助模拟新材料和分子。然而，仅仅用更多的量子比特来构建量子计算机是不够的。我们还需要开发更好的“算法”--一套计算机指令--以帮助减少模拟新材料所需的量子比特数量。量子硬件（量子比特）和软件（算法）的开发人员将通过中途会晤，让材料设计专家更快地从量子计算机中受益。该项目将在Riverlane现有算法研究的基础上，大幅减少新材料量子模拟所需的量子比特数量。Riverlane将与劳斯莱斯和三星英国研发所合作，开发计算工具，帮助他们在量子计算机上模拟大型和更复杂的材料。Riverlane还将与国家量子计算中心合作，与其他正在考虑使用量子计算机的大公司合作。该项目的成果可用于帮助这些公司了解量子计算在其行业和商业模式中的潜力。该项目中开发的工具和知识也将集成到Riverlane的量子计算机操作系统中。这项工作将使正在构建量子硬件（量子比特）的公司受益。通过使用Riverlane的操作系统和算法，他们可以加强与其技术的“最终用户”的关系。总之，这个项目有可能使多个行业受益。它将帮助研究人员加快发现更好的材料，同时使企业更接近有用的量子计算。

Today's pharmaceutical, chemical and materials companies rely on simulation to develop new materials and medicines. But the computers we currently use are not powerful enough to simulate large molecules or 'solid state' materials, which are used to build electronic components and devices.This is where quantum computers can help. Quantum computers are a new type of powerful computer. They are based on building blocks called qubits. Quantum computers need to get much bigger to become powerful enough to help simulate new materials and molecules. However, it's not enough to simply build quantum computers with more qubits. We also need to develop better 'algorithms' - a set of instructions for the computer -- to help reduce the number of qubits needed for the simulation of new materials. By meeting halfway, developers of quantum hardware (the qubits) and software (the algorithms) will allow materials design experts to benefit sooner from quantum computers.Building on existing algorithms research at Riverlane, this project will drastically reduce the number of qubits required for the quantum simulation of new materials. Riverlane will partner with Rolls-Royce and Samsung R&D Institute UK to build computational tools that will help them simulate large and more complex materials on a quantum computer. Riverlane will also work with the National Quantum Computing Centre to engage with other big companies who are considering using quantum computers. The results of the project can be used to help these companies understand the potential of quantum computing for their sectors and business models.The tools and knowledge developed in this project will also be integrated into Riverlane's operating system for quantum computers. This work will benefit the companies who are building quantum hardware (the qubits). By using Riverlane's operating system and algorithms, they can strengthen their relationship with 'end-users' of their technology.In summary, this project has the potential to benefit multiple industries. It will help researchers speed up the discovery of better materials while taking businesses one step closer to useful quantum computing.