Jianwei Yin

Abstract Quantum random access memory (QRAM) enables efficient access to classical data for quantum computers and is a prerequisite for many quantum algorithms in achieving quantum speed-up. Despite various proposals, there have not been many experimental realizations of QRAM. Here we use a superconducting quantum processor to implement a circuit-based bucket-brigade QRAM, which uses a binary tree of quantum routers to enable efficient addressing of the stored information.

References 1. Explosives Engineering. 1996. 2, , , and , “Sensitization and Desensitization of PBXs Stemming From Microcrack and Microvoid in Responses to Pressure-time Loading,” Applied Physics Letters 119 (2021): 014102, https://doi.org/10.1063/5.0056694. 3, , , , and , “Theoretical Investigation of Reactive Burn in a Highly Cracked Energetic Material,” Combustion and Flame 252 (2023): 112736, https://doi.org/10.1016/j.combustflame.2023.112736.

1. Introduction Rock masses in deep strata are usually influenced by diverse factors like temperature changes, formation water intrusion, and engineering disturbances, leading to the compromised mechanical behavior of rocks and becoming the root cause of significant engineering accidents [1,2,3,4,5,6,7,8]. For example, fire and explosion accidents are often encountered in tunnels and underground chambers.