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arXiv · 1206.1035

Gaussian quantum computation with oracle-decision problems

Mark Adcock·Peter Hoyer·Barry C. Sanders
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Abstract

We study a simple-harmonic-oscillator quantum computer solving oracle decision problems. We show that such computers can perform better by using nonorthogonal Gaussian wave functions rather than orthogonal top-hat wave functions as input to the information encoding process. Using the Deutsch-Jozsa problem as an example, we demonstrate that Gaussian modulation with optimized width parameter results in a lower error rate than for the top-hat encoding. We conclude that Gaussian modulation can allow for an improved trade-off between encoding, processing and measurement of the information.

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Mark Adcock, Peter Hoyer, Barry C. Sanders. 2012-06-05. Gaussian quantum computation with oracle-decision problems. https://doi.org/10.1007/s11128-012-0489-1

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