Gaussian quantum computation with oracle-decision problems

  • Authors:
  • Mark R. Adcock;Peter Høyer;Barry C. Sanders

  • Affiliations:
  • Institute for Quantum Information Science, University of Calgary, Calgary, Canada T2N 1N4;Institute for Quantum Information Science, University of Calgary, Calgary, Canada T2N 1N4 and Department of Computer Science, University of Calgary, Calgary, Canada T2N 1N4;Institute for Quantum Information Science, University of Calgary, Calgary, Canada T2N 1N4

  • Venue:
  • Quantum Information Processing
  • Year:
  • 2013

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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.