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 $M$M $n$n-bit patterns with computational cost $O(CMn)$O(CMn) to load continuous data where $C$C depends on the data distribution. In this article, we propose a strategy to load continuous data without post-selection with computational cost $O(Mn$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.
Bibliographical noteFunding Information:
This work was supported in part by CNPq under Grant No. 308730/ 2018-6, CAPES (Finance code 001), and FACEPE Grant No. BIC-1528-1.03/18, and in part by the National Research Foundation of Korea under Grant No. 2019R1I1A1A01050161.
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All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Hardware and Architecture
- Computational Theory and Mathematics