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arXiv · 2011.07977

Circuit-based quantum random access memory for classical data with continuous amplitudes

Tiago M. L. de Veras·Ismael C. S. de Araujo·Daniel K. Park·Adenilton J. da Silva
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Abstract

Loading data in a quantum device is required in several quantum computing applications. Without an efficient loading procedure, the cost to initialize the algorithms can dominate the overall computational cost. A circuit-based quantum random access memory named FF-QRAM can load M n-bit patterns with computational cost O(CMn) to load continuous data where C depends on the data distribution. In this work, we propose a strategy to load continuous data without post-selection with computational cost O(Mn). The proposed method is based on the probabilistic quantum memory, a strategy to load binary data in quantum devices, and the FF-QRAM using standard quantum gates, and is suitable for noisy intermediate-scale quantum computers.

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Tiago M. L. de Veras, Ismael C. S. de Araujo, Daniel K. Park, Adenilton J. da Silva. 2020-11-16. Circuit-based quantum random access memory for classical data with continuous amplitudes. https://doi.org/10.1109/tc.2020.3037932

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