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arXiv quant-ph/9804060quant-ph
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可扩展的NMR量子计算

Scalable NMR Quantum Computation

Leonard J. Schulman, Umesh Vazirani

摘要:

核磁共振为量子计算机的实现提供了一个诱人的前景,因为与核自旋相关的长相干时间,以及用射频脉冲操纵自旋的广泛实验室经验。然而,现有的方案受到信噪比的影响,该信噪比在量子计算机中的量子比特数量上呈指数衰减。这就严格限制了这种计算机所能完成的计算量;对这一限制的估计正好在传统计算机采取指数级更多步骤仍然可行的范围内。我们给出了一个NMR实现,其中的信噪比只取决于NMR技术的特点,而不是计算机的大小。这为NMR计算技术提供了一种方法,可以扩展到指数加速使量子计算能够解决经典计算机能力之外的问题。

英文摘要:

Nuclear magnetic resonance offers an appealing prospect for implementation of quantum computers, because of the long coherence times associated with nuclear spins, and extensive laboratory experience in manipulating the spins with radio frequency pulses. Existing proposals, however, suffer from a signal-to-noise ratio that decays exponentially in the number of qubits in the quantum computer. This places a severe limit on the size of the computations that can be performed by such a computer; estimates of that limit are well within the range in which a conventional computer taking exponentially more steps would still be practical. We give an NMR implementation in which the signal-to-noise ratio depends only on features of NMR technology, not the size of the computer. This provides a means for NMR computation techniques to scale to sizes at which the exponential speedup enables quantum computation to solve problems beyond the capabilities of classical computers.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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