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We propose a feasible scheme of quantum state storage and manipulation via electromagnetically induced transparency (EIT) in flexibly $united$ multi-ensembles of three-level atoms. For different atomic array configurations, one can properly…

Quantum Physics · Physics 2009-11-10 H. Jing , X. -J. Liu , M. -L. Ge , M. -S. Zhan

A biomolecular system representing the first realization of associative memory based on enzymatic reactions in vitro has been designed. The system demonstrated "training" and "forgetting" features characteristic of memory in biological…

Molecular Networks · Quantitative Biology 2013-11-05 Kevin MacVittie , Jan Halamek , Vladimir Privman , Evgeny Katz

We propose to entangle macroscopic atomic ensembles in cavity using EPR-correlated beams. We show how the field entanglement can be almost perfectly mapped onto the long-lived atomic spins associated with the ground states of the ensembles,…

Quantum Physics · Physics 2009-11-10 Aurelien Dantan , Alberto Bramati , Michel Pinard

We introduce a novel mathematical framework that unifies neural population dynamics, hippocampal sharp wave-ripple (SpWR) generation, and cognitive consistency constraints inspired by Heider's theory. Our model leverages low-dimensional…

Artificial Intelligence · Computer Science 2025-03-05 Phuong-Nam Nguyen

Associative memory models, in theoretical neuro- and computer sciences, can generally store a sublinear number of memories. We show that using quantum annealing for recall tasks endows associative memory models with exponential storage…

Quantum Physics · Physics 2018-01-03 Siddhartha Santra , Omar Shehab , Radhakrishnan Balu

This article reviews efforts to build a new type of quantum device, which combines an ensemble of electronic spins with long coherence times, and a small-scale superconducting quantum processor. The goal is to store over long times…

Spin ensembles with a comb-shaped spectrum have shown exciting properties as efficient quantum memories. Here, we present a rigorous theoretical study of such atomic frequency combs in the strong coupling limit of cavity QED, based on a…

Quantum Physics · Physics 2021-11-02 Matthias Zens , Dmitry O. Krimer , Himadri S. Dhar , Stefan Rotter

We describe a multi-mode quantum memory for propagating microwave photons that combines a solid-state spin ensemble resonantly coupled to a frequency tunable single-mode microwave cavity. We first show that high efficiency mapping of the…

Quantum Physics · Physics 2015-06-12 M. Afzelius , N. Sangouard , G. Johansson , M. U. Staudt , C. M. Wilson

Quantum-memory models often reduce complex level structures to an idealized $\Lambda$ system, potentially missing nearby levels and unwanted couplings that can qualitatively alter the predicted performance. Here, we study an extension of a…

Quantum Physics · Physics 2026-05-04 Jia-Wei Ji , Christoph Simon

Cavity QED with cooperativity far greater than unity enables high-fidelity quantum sensing and information processing. The high-cooperativity regime is often reached through the use of short, single-mode resonators. More complicated…

Quantum Physics · Physics 2023-11-17 Ronen M. Kroeze , Brendan P. Marsh , Kuan-Yu Lin , Jonathan Keeling , Benjamin L. Lev

We consider an atomic frequency comb based quantum memory inside an asymmetric optical cavity. In this configuration it is possible to absorb the input light completely in a system with an effective optical depth of one, provided that the…

Quantum Physics · Physics 2015-05-18 Mikael Afzelius , Christoph Simon

Quantum network has significant applications both practically and fundamentally. A hybrid architecture with photons and stationary nodes is highly promising. So far, experimental realizations are limited to two nodes with two photons. Going…

Chip-based cavity quantum electrodynamics (QED) devices consisting of a self-assembled InAs quantum dot (QD) coupled to a high quality factor GaAs microdisk cavity are coherently probed through their optical channel using a fiber taper…

Quantum Physics · Physics 2009-11-13 Kartik Srinivasan , Christopher P. Michael , Raviv Perahia , Oskar Painter

We propose a dynamical approach to quantum memories using a synchronous oscillator-cavity model, in which the coupling is shaped in time to provide the optimum interface to a symmetric input pulse. This overcomes the known difficulties of…

Quantum Physics · Physics 2014-05-09 Q. Y. He , M. D. Reid , P. D. Drummond

We consider a quantum memory scheme based on the conversion of a signal pulse into a long-lived spin coherence via stimulated off-resonant Raman process. For a storing medium consisting of alkali atoms, we have calculated the Autler-Townes…

By solving the quench dynamics of a frustrated many-body spin-boson problem, we investigate the role of spin size on the dynamical formation of spin glass order. In particular, we observe that quantum and classical spin glasses exhibit…

Disordered Systems and Neural Networks · Physics 2025-01-16 Hossein Hosseinabadi , Darrick E. Chang , Jamir Marino

A cavity QED system is analyzed which duplicates the dynamics of a two-level atom in free space interacting exclusively with broadband squeezed light. We consider atoms in a three or four-level Lambda-configuration coupled to a high-finesse…

Quantum Physics · Physics 2009-11-07 Stephen Clark , Scott Parkins

The recent experimental observation of spinor self-ordering of ultracold atoms in optical resonators has set the stage for the exploration of emergent magnetic orders in quantum-gas--cavity systems. Based on this platform, we introduce a…

Quantum Gases · Physics 2019-03-27 Farokh Mivehvar , Helmut Ritsch , Francesco Piazza

Quantum memory is the core device for the construction of large-scale quantum networks. For scalable and convenient practical applications, integrated optical memories, especially on-chip optical memories, are crucial requirements because…

Quantum Physics · Physics 2020-12-07 Tian-Xiang Zhu , Chao Liu , Liang Zheng , Zong-Quan Zhou , Chuan-Feng Li , Guang-Can Guo

We introduce a novel approach to endowing neural networks with emergent, long-term, large-scale memory. Distinct from strategies that connect neural networks to external memory banks via intricately crafted controllers and hand-designed…

Machine Learning · Computer Science 2020-08-18 Tri Huynh , Michael Maire , Matthew R. Walter
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