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A prototype quantum computer using nuclear spins in liquid solution.

机译:在液体溶液中使用核自旋的量子计算机原型。

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摘要

Quantum computers can potentially solve real and relevant mathematical and physical problems that are intractable using classical machines. However, the experimental realization of quantum computers represents a significant challenge, because several opposing experimental requirements must be met. A set of coupled quantum bits must be manipulated and measured while coherently retaining entangled quantum states. Yet the manipulation and measurement processes almost inevitably lead to the decay of these fragile states.; This thesis work takes significant steps towards building a practical quantum computer using nuclear spins and liquid state nuclear magnetic resonance (NMR) techniques. I present experimental results for proof of principle of quantum computing in a series of small implementations of quantum algorithms, culminating in the implementation of an adiabatic quantum optimization algorithm. The performance of adiabatic algorithms compared with classical optimization methods is unknown, but small quantum computers could provide crucial insight into answering this question. Furthermore, adiabatic algorithms also shed new light on the usefulness of quantum resources for computational tasks and hence they represent an important class of algorithms.; The second part of this thesis presents several methods developed for improving the control over NMR quantum computing experiments. Even though liquid state NMR quantum computers have well known and accepted scaling limitations, the developed tools are of general use. I will show how several tools are directly transferable to two other implementations of quantum computers; one using optical methods and the other using loops of superconducting material.; This work provides insight into what is needed to build a practical quantum computer, and delivers several tools and techniques that will be useful in future large-scale implementations of quantum computers.
机译:量子计算机可以潜在地解决使用经典机器难以解决的实际和相关的数学和物理问题。但是,量子计算机的实验实现面临着重大挑战,因为必须满足几个相反的实验要求。一组耦合的量子位必须在相干地保持纠缠的量子态的同时进行操作和测量。然而,操纵和测量过程几乎不可避免地导致这些脆弱状态的衰减。这项工作朝着使用核自旋和液态核磁共振(NMR)技术构建实用的量子计算机迈出了重要的一步。我提供了实验结果,以证明一系列小规模量子算法实现中的量子计算原理,最终达到了绝热量子优化算法的实现。与经典优化方法相比,绝热算法的性能未知,但是小型量子计算机可以为解答这一问题提供关键的见识。此外,绝热算法也为量子资源对计算任务的实用性提供了新的思路,因此它们代表了一类重要的算法。本文的第二部分介绍了几种改进的方法,以改进对NMR量子计算实验的控制。即使液态NMR量子计算机具有众所周知的缩放比例限制,但已开发的工具仍具有普遍用途。我将展示如何将几种工具直接转移到量子计算机的其他两个实现中。一种使用光学方法,另一种使用超导材料环。这项工作深入了解了构建实用的量子计算机所需的内容,并提供了一些工具和技术,这些工具和技术将在未来的大规模量子计算机实现中有用。

著录项

  • 作者

    Steffen, Matthias.;

  • 作者单位

    Stanford University.;

  • 授予单位 Stanford University.;
  • 学科 Physics General.; Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 338 p.
  • 总页数 338
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 物理学;无线电电子学、电信技术;
  • 关键词

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