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Light and matter share fundamental statistical properties, yet the experimental probes of quantum optics and many-body physics have largely evolved along separate trajectories. While many-body physics explores emergent collective phenomena,…

Superconducting optoelectronic loop neurons are a class of circuits potentially conducive to networks for large-scale artificial cognition. These circuits employ superconducting components including single-photon detectors, Josephson…

Neural and Evolutionary Computing · Computer Science 2022-10-19 Jeffrey M. Shainline , Bryce A. Primavera , Saeed Khan

The quantum chromodynamics (QCD) phase diagram, which reveals the state of strongly interacting matter at different temperatures and densities, is key to answering open questions in physics, ranging from the behavior of particles in neutron…

The Jaynes-Cummings quantum optics model allows us to understand the dialogue between light and matter at its most fundamental level, which is crucial for advancements in quantum science and technology. Several generalizations of the model…

The human eye contains millions of rod photoreceptor cells, and each one is a single-photon detector. Whether people can actually see a single photon, which requires the rod signal to propagate through the rest of the noisy visual system…

Quantum Physics · Physics 2018-06-25 Rebecca M. Holmes , Michelle M. Victora , Ranxiao Frances Wang , Paul G. Kwiat

The nonequilibrium steady state (NESS) of a quantum network is central to a host of physical and biological scenarios. Examples include natural processes such as vision and photosynthesis, as well as technical devices such as photocells,…

Quantum Physics · Physics 2022-09-05 Loïc Joubert-Doriol , Kenneth A. Jung , Artur F. Izmaylov , Paul Brumer

The quantum properties of matter and radiation can be leveraged to surpass classical limits of sensing and detection. Quantum optics does so by creating and measuring nonclassical light. However, better performance requires higher…

Quantum Physics · Physics 2025-05-12 Cruz I. Velasco , F. Javier García de Abajo

Linear optical architectures have been extensively investigated for quantum computing and quantum machine learning applications. Recently, proposals for photonic quantum machine learning have combined linear optics with resource adaptivity,…

Unitary transformations are routinely modeled and implemented in the field of quantum optics. In contrast, nonunitary transformations that can involve loss and gain require a different approach. In this theory work, we present a universal…

Quantum Physics · Physics 2018-04-17 Nora Tischler , Carsten Rockstuhl , Karolina Słowik

The collective absorption and emission of light by an ensemble of atoms is at the heart of many fundamental quantum optical effects and the basis for numerous applications. However, beyond weak excitation, both experiment and theory become…

Both magnetic materials and light have always played a predominant role in information technologies, and continue to do so as we move into the realm of quantum technologies. In this course we review the basics of magnetism and quantum…

Mesoscale and Nanoscale Physics · Physics 2019-11-27 Silvia Viola Kusminskiy

Free electrons interacting coherently with optical fields provide a powerful platform for quantum simulation and quantum control. For kiloelectron-volt electron energies, even optical photon emission and absorption produce appreciable…

Quantum Physics · Physics 2026-05-21 Maxim Sirotin , Andrei Rasputnyi , Tomáš Chlouba , Roy Shiloh , Peter Hommelhoff

Coherent and reversible mapping of quantum information between light and matter is an important experimental challenge in quantum information science. In particular, it is a decisive milestone for the implementation of quantum networks and…

Quantum Physics · Physics 2010-02-15 Hugues de Riedmatten , Mikael Afzelius , Matthias Staudt , Christoph Simon , Nicolas Gisin

The human eye consists of two types of photoreceptors, rods and cones. Rods are responsible for monochrome vision, and cones for color vision. The number of rods is much higher than the cones, which means that most human vision processing…

Computer Vision and Pattern Recognition · Computer Science 2023-05-02 Shrutarv Awasthi , Anas Gouda , Richard Julian Lodenkaemper , Moritz Roidl

Color transparency (CT) is an effect of suppression of nuclear shadowing of hard reactions, closely related to the color screening. A brief review of theoretical development and experimental search for CT, failed and successful, are…

High Energy Physics - Phenomenology · Physics 2007-05-23 Boris Kopeliovich

Conical intersections play central roles in photoinduced reactions. However, comprehensive conical-intersection datasets that could advance our understanding of excited-state reaction processes remain scarce. To address this gap, we…

Chemical Physics · Physics 2026-05-15 Jiahui Zhang , Yifei Zhu , Chuqiao Feng , Yingjin Ma , Chao Xu , Zhenggang Lan

In this work, we use artificial neural networks (ANNs) to recognize the material composition, sizes of nanoparticles and their concentrations in different media with high accuracy, solely from the absorbance spectrum of a macroscopic…

Quasi-normal modes (QNMs) and coherent control of light-matter interactions (through synchronized multiple coherent incident waves) are profound and pervasive concepts in and beyond photonics, making accessible photonic manipulations with…

Optics · Physics 2025-02-26 Jingwei Wang , Pengxiang Wang , Chaofan Zhang , Yuntian Chen , Wei Liu

We consider a basic model of digital memory where each cell is composed of a reflecting medium with two possible reflectivities. By fixing the mean number of photons irradiated over each memory cell, we show that a non-classical source of…

Quantum Physics · Physics 2015-03-19 Stefano Pirandola

We propose a novel general approximation to transform and simplify the description of a complex fully-quantized system describing the interacting light and matter. The method has some similarities to the time-dependent Born-Oppenheimer…

Quantum Physics · Physics 2021-07-01 Ivan Gonoskov , Stefanie Gräfe