Quantum-enhanced reconfigurable in-memory stochastic computing

Hong-Zhe Yang; Jian-Peng Dou; Feng Lu; Xiao-Wen Shang; Chao-Ni Zhang; Heng Zhou; Hao Tang; Xian-Min Jin

doi:10.1038/s41377-025-02181-6

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Quantum-enhanced reconfigurable in-memory stochastic computing

Original Articles

- Quantum-enhanced reconfigurable in-memory stochastic computing
- Light: Science & Applications Vol. 15, Issue 6, Pages: 1974-1984(2026)
- Affiliations：
  
  1.Center for Integrated Quantum Information Technologies (IQIT), School of Physics and Astronomy and State Key Laboratory of Photonics and Communications, Shanghai Jiao Tong University, Shanghai, China
  2.Hefei National Laboratory, Hefei, China
  3.TuringQ Co. Ltd., Shanghai, China
  4.Chip Hub for Integrated Photonics Xplore (CHIPX), Shanghai Jiao Tong University, Wuxi, China
- Author bio：
  
  Xian-Min Jin (xianmin.jin@sjtu.edu.cn)
- Funds：
- DOI：10.1038/s41377-025-02181-6
  CLC：
- Received：23 May 2025，
  
  Revised：2025-12-25，
  
  Accepted：25 December 2025，
  
  Online First：18 March 2026，
  
  Published：30 June 2026
- Accepted：
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Yang, H. Z. et al. Quantum-enhanced reconfigurable in-memory stochastic computing. Light: Science & Applications, 15, 1974-1984 (2026).
DOI：

Yang, H. Z. et al. Quantum-enhanced reconfigurable in-memory stochastic computing. Light: Science & Applications, 15, 1974-1984 (2026). DOI： 10.1038/s41377-025-02181-6.

摘要

Abstract

In-memory computing

which enables computation directly within memory

represents an efficient approach to processing massively parallel computation tasks that are intractable for conventional computers. However

implementations of in-memory computing have been primarily limited to the classical regime

with its nonclassical counterpart yet to be fully explored. Quantum memory

with its unique capability to generate

preserve

and nontrivially operate on quantum states

offers spectacular quantum-enhanced advantages and is thus a promising candidate for in-memory computing. Here

leveraging a room-temperature quantum memory

we demonstrate a quantum-enhanced and reconfigurable in-memory stochastic computing system

where correlated photons

randomly produced in the quantum memory

serve as the computing resources. We show that addition and multiplication operations can be straightforwardly achieved by accumulating photon counts

and multiple computing tasks can be accelerated by mapping them into parallel accumulations of photon counts. Furthermore

the calculation results are obtained through stochastic processes

ensuring security in remote computation since no efficient information can be distinguished by eavesdropping on a small portion of the computation data. This in-memory computing system is enhanced by nonclassical correlations

which accelerate computing process and may stimulate future research and applications in the emerging field of quantum-enhanced computing architectures.

关键词

Keywords

references

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