ABaQuS: Advanced Barium Quantum Systems

ABaQuS：先进的钡量子系统

• 批准号: MR/Y003799/1
• 负责人: Christopher Ballance
• 金额: $ 75.74万
• 依托单位: University of Oxford
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=MR%2FY003799%2F1
• 关键词: ABaQuS; Advanced; Barium; Quantum; Systems

Quantum computers will be able to solve hard computational problems that are beyond the reach of our best classical supercomputers. Over the last 10 years progress on quantum computing has dramatically accelerated and has transitioned from an academic field to a thriving industry. However, we are only at the beginning of the journey towards mass-adoption of large scale, reliable, and high-performance quantum computers.The great challenge now for quantum computing is to significantly decrease the computational error rate in a way that maintains performance with scale. One of the most promising ways of building quantum computers is with trapped ions - ionised atoms are one of the most perfect quantum systems known, and can be controlled by elements than can be integrated into classical silicon chips.In this project we will combine a recently identified new barium qubit to tackle three of the major areas limiting significant improvements in quantum computer performance and adoption: We will develop new qubit modalities, and control methods, opening to door to more efficient hardware scaling approaches, we will develop techniques and associated device engineering to integrate these new qubit modalities into chips that can be built in a standard semiconductor foundry, and we will holistically-optimise the compilation of quantum algorithms for these devices in order to maximise the performance we can achieve with near-term hardware.

量子计算机将能够解决我们最好的经典超级计算机无法解决的困难计算问题。在过去的10年里，量子计算的进展急剧加速，并已从学术领域转变为一个蓬勃发展的行业。然而，我们只是在大规模采用大规模，可靠和高性能量子计算机的旅程的开始。现在量子计算的巨大挑战是以一种保持性能的方式显着降低计算错误率。构建量子计算机最有前途的方法之一是捕获离子-电离原子是已知的最完美的量子系统之一，并且可以通过可以集成到经典硅芯片中的元素来控制。在这个项目中，我们将联合收割机最近发现的新钡量子比特来解决限制量子计算机性能和采用的三个主要领域：我们将开发新的量子位模态和控制方法，为更有效的硬件缩放方法敞开大门，我们将开发技术和相关的设备工程，将这些新的量子位模态集成到可以在标准半导体代工厂中构建的芯片中，我们将全面优化这些设备的量子算法编译，以最大限度地提高我们在近期硬件上可以实现的性能。