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Quantum Computations with Cold Trapped Ions.冷囚禁离子的量子计算
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DNA solution of hard computational problems.难以计算问题的DNA解决方案。
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通过核磁共振光谱实现的集成量子计算。

Ensemble quantum computing by NMR spectroscopy.

作者信息

Cory D G, Fahmy A F, Havel T F

机构信息

Department of Nuclear Engineering, Massachusetts Institute of Technology, Cambridge 02139, USA.

出版信息

Proc Natl Acad Sci U S A. 1997 Mar 4;94(5):1634-9. doi: 10.1073/pnas.94.5.1634.

DOI:10.1073/pnas.94.5.1634
PMID:9050830
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC19968/
Abstract

A quantum computer (QC) can operate in parallel on all its possible inputs at once, but the amount of information that can be extracted from the result is limited by the phenomenon of wave function collapse. We present a new computational model, which differs from a QC only in that the result of a measurement is the expectation value of the observable, rather than a random eigenvalue thereof. Such an expectation value QC can solve nondeterministic polynomial-time complete problems in polynomial time. This observation is significant precisely because the computational model can be realized, to a certain extent, by NMR spectroscopy on macroscopic ensembles of quantum spins, namely molecules in a test tube. This is made possible by identifying a manifold of statistical spin states, called pseudo-pure states, the mathematical description of which is isomorphic to that of an isolated spin system. The result is a novel NMR computer that can be programmed much like a QC, but in other respects more closely resembles a DNA computer. Most notably, when applied to intractable combinatorial problems, an NMR computer can use an amount of sample, rather than time, which grows exponentially with the size of the problem. Although NMR computers will be limited by current technology to exhaustive searches over only 15 to 20 bits, searches over as much as 50 bits are in principle possible, and more advanced algorithms could greatly extend the range of applicability of such machines.

摘要

量子计算机(QC)可以同时对其所有可能的输入进行并行操作,但是从结果中能够提取的信息量受到波函数坍缩现象的限制。我们提出了一种新的计算模型,它与量子计算机的不同之处仅在于测量结果是可观测量的期望值,而不是其随机本征值。这样的期望值量子计算机可以在多项式时间内解决非确定性多项式时间完全问题。这一发现意义重大,正是因为这种计算模型在一定程度上可以通过对量子自旋的宏观系综(即试管中的分子)进行核磁共振光谱来实现。通过识别一种称为伪纯态的统计自旋状态流形,这成为可能,其数学描述与孤立自旋系统的描述同构。结果是一种新型的核磁共振计算机,它可以像量子计算机一样进行编程,但在其他方面更类似于DNA计算机。最值得注意的是,当应用于棘手的组合问题时,核磁共振计算机可以使用与问题规模呈指数增长的样本量,而不是时间。尽管目前的技术将核磁共振计算机限制在仅对15到20位进行穷举搜索,但原则上对多达50位的搜索是可能的,并且更先进的算法可以极大地扩展此类机器的适用范围。