Collaborative Research: Adiabatic Quantum Computing and Statistics
合作研究:绝热量子计算与统计
基本信息
- 批准号:1529079
- 负责人:
- 金额:$ 0.33万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-09-01 至 2017-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
For decades computer power has doubled for constant cost roughly once every two years according to the so-called Moore's law. This dream run is realized through technological advances in the fabrication of computer hardware, making electronic devices smaller and smaller. However, as the sizes of the computer electronic devices get close to the atomic scale, quantum effects are starting to interfere in their functioning, and thus conventional computer technology approaches run up against fundamental difficulties of size limit. This research project concerns quantum computing, the development of computer technology dependent on the principles of quantum physics, as opposed to the electronic devices following laws of classical physics used by classical computers. This revolutionary field will enable a range of exotic new devices, and in particular it will likely lead to the creation of powerful quantum computers. The research project is among the frontier research endeavors where quantum technologies are being developed and quantum devices are being built with capabilities exceeding those of classical computational devices. Quantum computation and quantum information science more generally concern the preparation and control of the quantum states of physical systems to manipulate and transmit information. A quantum system usually has complexity exponentially increasing with its size. As a result, it takes an exponential number of bits of memory on a classical computer to store the state of a quantum system, and simulations of quantum systems via classical computers face great computational challenge. On the other hand, since quantum systems are able to store and track an exponential number of complex numbers and perform data manipulations and calculations as the systems evolve, quantum systems hold great promise as computational tools. Quantum information science grapples with understanding how to take advantage of the enormous amount of information hidden in the quantum systems and to harness the immense potential computational power of atoms and photons for the purpose of information processing and computation. This cross-disciplinary research project addresses questions in quantum information science on the interface between quantum computing and machine learning and between quantum tomography and compressed sensing. The collaborative research aims to explore the power of adiabatic quantum computation and its impact on computer science and statistics in general and machine learning and Monte Carlo sampling in particular. The work investigates the use of leading techniques from machine learning in computer science and statistics, compressed sensing in applied mathematics, statistics, and engineering, and quantum tomography in quantum physics for adiabatic quantum computing. The research activities promote collaborations among investigators with different disciplinary backgrounds and stimulate novel ideas for possible breakthrough, transformative research.
几十年来,根据所谓的摩尔定律,以不变成本计算,计算机的能力大约每两年翻一番。这种梦想是通过计算机硬件制造技术的进步实现的,使电子设备越来越小。然而,随着计算机电子设备的尺寸接近原子尺度,量子效应开始干扰它们的功能,因此传统的计算机技术方法遇到了尺寸限制的基本困难。该研究项目涉及量子计算,即依赖于量子物理原理的计算机技术的发展,而不是遵循经典计算机使用的经典物理定律的电子设备。这一革命性的领域将使一系列奇异的新设备成为可能,特别是它可能会导致强大的量子计算机的诞生。该研究项目是量子技术正在开发的前沿研究工作之一,量子设备的能力超过了经典计算设备。量子计算和量子信息科学更普遍地关注物理系统的量子态的制备和控制,以操纵和传输信息。量子系统的复杂性通常随其大小呈指数增长。因此,在经典计算机上需要指数数量的存储器来存储量子系统的状态,并且通过经典计算机模拟量子系统面临巨大的计算挑战。另一方面,由于量子系统能够存储和跟踪指数数量的复数,并随着系统的发展执行数据操作和计算,因此量子系统作为计算工具具有很大的前景。 量子信息科学致力于理解如何利用隐藏在量子系统中的大量信息,并利用原子和光子的巨大潜在计算能力进行信息处理和计算。这个跨学科的研究项目解决了量子信息科学中量子计算和机器学习之间以及量子断层扫描和压缩传感之间的接口问题。这项合作研究旨在探索绝热量子计算的力量及其对计算机科学和统计学的影响,特别是机器学习和蒙特卡洛采样。这项工作研究了计算机科学和统计学中机器学习,应用数学,统计学和工程学中的压缩传感以及量子物理学中的量子断层扫描用于绝热量子计算的领先技术的使用。研究活动促进了具有不同学科背景的研究人员之间的合作,并激发了可能的突破性,变革性研究的新想法。
项目成果
期刊论文数量(0)
专著数量(0)
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会议论文数量(0)
专利数量(0)
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Daniel Lidar其他文献
Against the odds of imperfection
逆着不完美的可能性
- DOI:
10.1038/nphys182 - 发表时间:
2005-12-01 - 期刊:
- 影响因子:18.400
- 作者:
Daniel Lidar - 通讯作者:
Daniel Lidar
Daniel Lidar的其他文献
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{{ truncateString('Daniel Lidar', 18)}}的其他基金
International Collaboration in Chemistry: Decoherence control via quantum dynamical decoupling -- theory and experiment
化学国际合作:通过量子动力学解耦控制退相干——理论与实验
- 批准号:
0924318 - 财政年份:2009
- 资助金额:
$ 0.33万 - 项目类别:
Standard Grant
Quantum Computational Complexity of Classical Statistical Mechanics
经典统计力学的量子计算复杂性
- 批准号:
0802678 - 财政年份:2008
- 资助金额:
$ 0.33万 - 项目类别:
Continuing Grant
Collaborative Research: Adiabatic Quantum Computing in Open Systems: Methodology, Performance, and Error Correction
合作研究:开放系统中的绝热量子计算:方法、性能和纠错
- 批准号:
0726439 - 财政年份:2007
- 资助金额:
$ 0.33万 - 项目类别:
Standard Grant
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