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Convergence QL: Ideas Lab Workshop: Practical Fully-Connected Quantum Computer Challenge (PFCQC), Santa Fe Institute, August 28 - September 1, 2017

Convergence QL: Ideas Lab Workshop: Practical Fully-Connected Quantum Computer Challenge (PFCQC), Santa Fe Institute, August 28 - September 1, 2017
Convergence QL:创意实验室研讨会:实用全连接量子计算机挑战赛 (PFCQC),圣达菲研究所,2017 年 8 月 28 日至 9 月 1 日
批准号:
1744320
负责人:
Cristopher Moore
金额:
$9.88万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-07-15 至 2018-06-30

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中文摘要
翻译
NSF Ideas Lab:在NSF征集17-548中描述的“实用全连接量子计算机挑战赛(PFCQC)”将于2017年8月28日至9月1日在新墨西哥州圣达菲的圣达菲研究所举行。来自物理学、工程学和计算机科学等广泛学科的研究人员将共同努力开发有前途的新技术,以应对开发和操作实用的全连接量子计算机的挑战。这些资金将用于支付28名创意实验室参与者的差旅费和费用:24名受邀参与者和4名导师。这些支出将由新墨西哥州圣达菲研究所管理。实用的量子计算有可能改变密码学,安全通信,材料和药物设计,物理系统的有效模拟,以及我们解决科学和工业中大量优化问题的能力。目前的工作强烈表明,量子计算机已经走过了类似于第一个晶体管的阶段;现在有几种技术让人想起了第一个集成电路,并且有迹象表明它们可以扩展到量子计算机将在实践中超过经典计算机的程度。在这个关键时刻关注和孵化这些技术可能会迎来一场新的数字革命。实验室的最新进展使大规模量子计算更接近于实现,几种技术显示出可扩展性的前景。特别是,完全连接的架构可以随意控制任何一对量子位之间的相互作用提供真正可编程的量子计算机,而不是专门的硬件设备硬连线来解决固定类型的问题。像这样的可编程量子设备最终可以使量子算法成为现实,例如Shor的因子分解算法,Grover的搜索算法,以及用于有效模拟与凝聚态物理,高能物理,材料科学,分子生物学和药物设计相关的量子哈密顿量的算法。即使是具有~30个量子比特的设备也可以超过经典计算机的能力,并提供“量子霸权”的测试,证实量子力学的理论计算能力。
英文摘要
The NSF "Ideas Lab: Practical Fully-Connected Quantum Computer Challenge (PFCQC)" described in the NSF solicitation 17-548 will be held at the Santa Fe Institute in Santa Fe, NM, from August 28 to September 1, 2017. Researchers from a broad range of disciplines, including physics, engineering, and computer science, will work together to develop promising new techniques that can address the challenge of developing and operating a practical fully-connected quantum computer. The funds will cover travel and expenses for 28 Ideas Lab participants: 24 invited participants and 4 mentors. These expenditures will be administered by the Santa Fe Institute, NM. Practical quantum computing has the potential to transform cryptography, secure communication, material and drug design, the efficient simulation of physical systems, and our ability to solve a host of optimization problems in science and industry. Current work strongly suggests that quantum computers have moved past the stage analogous to the first transistor; several technologies are now reminiscent of the first integrated circuit, and are showing signs that they can scale up to the point where quantum computers will exceed classical ones in practice. Focusing on and incubating these technologies at this juncture could usher in a new digital revolution. Recent advances in the laboratory are bringing large-scale quantum computing closer to fruition, with several technologies that show promise of scalability. In particular, fully-connected architectures-where one can control interactions between any pair of qubits at will-offer truly programmable quantum computers, as opposed to specialized hardware devices hardwired to solve a fixed type of problem. Programmable quantum devices like these could finally make quantum algorithms a reality, such as Shor's factoring algorithm, Grover's search algorithm, and algorithms for efficiently simulating quantum Hamiltonians relevant to condensed matter physics, high energy physics, materials science, molecular biology, and drug design. Even devices with ~30 qubits could exceed the capabilities of classical computers, as well as providing tests of "quantum supremacy" confirming the theoretical computational power of quantum mechanics.
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