Multi-mode bosonic quantum computing with superconducting cavities

超导腔多模玻色子量子计算

• 批准号: 578638-2022
• 负责人: Lau, HoiKwanHK
• 金额: $ 1.82万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=762295
• 关键词: Multi; mode; bosonic; quantum; computing

The quantum computer is expected to offer dramatically improved efficiency in countless important computational tasks. Bosonic systems have been regarded as promising quantum computing architectures due to many fundamental and practical advantages. However, developing algorithms and control strategies for bosonic quantum computers are generally challenging due to the many more available quantum states; tackling these challenges is the research focus of Lau group at SFU. This Alliance International Quantum grant is intended to establish a collaboration to implement the bosonic algorithms and control strategies developed by Lau group on the multi-mode superconducting cavity device developed by Chakram group at Rutgers University. The device by Chakram group incorporates exceptional controllability and high quality factors, it is thus a versatile platform for implementing bosonic quantum computing. As a pioneer project, this Catalyst grant will support the investigation of realizing bosonic-qubit entanglement conversion. Successfully realizing this scheme can convert the bosonic entanglement, which can be generated extremely efficiently, to qubit entanglement, which can be used to implement a wide range of quantum computing algorithms. This will significantly boost the development of practical quantum computers.

量子计算机预计将在无数重要的计算任务中显着提高效率。由于许多基本和实际的优势，玻色子系统被认为是有前途的量子计算架构。然而，由于可用的量子态更多，开发玻色子量子计算机的算法和控制策略通常具有挑战性。应对这些挑战是 SFU 刘团队的研究重点。国际量子联盟的这项资助旨在建立合作关系，在罗格斯大学 Chakram 小组开发的多模超导腔器件上实施 Lau 小组开发的玻色子算法和控制策略。 Chakram 集团的设备具有卓越的可控性和高质量因素，因此它是实现玻色子量子计算的多功能平台。作为一个先锋项目，这项催化剂资助将支持实现玻色子-量子位纠缠转换的研究。成功实现该方案可以将可以极其高效地生成的玻色子纠缠转换为量子位纠缠，从而可以用于实现各种量子计算算法。这将极大地促进实用量子计算机的发展。