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- W3100591308 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 <inline-formula><tex-math notation=LaTeX>$M$</tex-math></inline-formula> <inline-formula><tex-math notation=LaTeX>$n$</tex-math></inline-formula> -bit patterns with computational cost <inline-formula><tex-math notation=LaTeX>$O(CMn)$</tex-math></inline-formula> to load continuous data where <inline-formula><tex-math notation=LaTeX>$C$</tex-math></inline-formula> depends on the data distribution. In this article, we propose a strategy to load continuous data without post-selection with computational cost <inline-formula><tex-math notation=LaTeX>$O(Mn$</tex-math></inline-formula> ). 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." @default.
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- W3100591308 date "2021-12-01" @default.
- W3100591308 modified "2023-10-17" @default.
- W3100591308 title "Circuit-Based Quantum Random Access Memory for Classical Data With Continuous Amplitudes" @default.
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- W3100591308 doi "https://doi.org/10.1109/tc.2020.3037932" @default.
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