Alexander I. Lvovsky

Optical neural networks in the quantum domain

Alexander I. Lvovsky

From self-driving cars to medical diagnostics, computer vision underpins technologies that identify objects, recognize patterns, and analyze images. We considers computer vision in situations when only faint light is available, such as reading a road sign at night, examining fragile biological cells …

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A nanoscopic light swing

Alexander I. Lvovsky

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Tsang’s resolution enhancement method for imaging with focused illumination

Alexander Duplinskiy, Jernej Frank, Kaden Bearne, Alexander I. Lvovsky

A widely tested approach to overcoming the diffraction limit in microscopy without disturbing the sample relies on substituting widefield sample illumination with a structured light beam. This gives rise to confocal, image scanning, and structured illumination microscopy methods. On the other hand, …

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Training neural networks with end-to-end optical backpropagation

James C. Spall, Xianxin Guo, Alexander I. Lvovsky

Optics is an exciting route for the next generation of computing hardware for machine learning, promising several orders of magnitude enhancement in both computational speed and energy efficiency. However, reaching the full capacity of an optical neural network (NN) necessitates that the …

gb (code pays fourni par la source)

Roadmap on Neuromorphic Photonics

Daniel Brunner, Bhavin J. Shastri, Mohammed Qadasi, Hitesh Ballani et autres

This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementation philosophies reported in the field. It emphasizes the critical role of cross-disciplinary collaboration in this rapidly evolving field.

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Spontaneous symmetry breaking of an optical polarization state in a polarization-selective nonlinear resonator

K. S. Manannikov, Ekaterina Mironova, Андрій Павлович Поляков, Alexey Yurievich Mikhaylov et autres

We exploit polarization self-rotation (PSR) in atomic rubidium vapor to observe spontaneous symmetry breaking and bistability of polarization patterns. We pump the vapor cell with horizontally polarized light while the vertical polarization, which is initially in the vacuum state, is resonated in …

de, gb (code pays fourni par la source)

Hermite-Gaussian imaging with scanning illumination

Aleksandr Duplinskii, Kaden Bearne, Jernej Frank, Alexander I. Lvovsky

Super-resolution microscopy seeks to surpass the resolution limit dictated by the diffraction of light. Among the various super-resolution methods, far-field are of the particular interest due to their non-invasive nature. For instance, the substitution of uniform sample illumination with a structured light …

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Spontaneous Symmetry Breaking of an Optical Polarization State in a Polarization-Selective Nonlinear Resonator

K. S. Manannikov, Ekaterina Mironova, Андрій Павлович Поляков, Alexander E. Ulanov et autres

We exploit polarization self-rotation in atomic rubidium vapor to observe spontaneous symmetry breaking and bistability of polarization patterns. We pump the vapor cell with horizontally polarized light while the vertical polarization, which is initially in the vacuum state, is resonated in a …

Reconstructing Complex States of a 20 -Qubit Quantum Simulator

Murali K. Kurmapu, V. V. Tiunova, Egor Tiunov, Martin Ringbauer et autres

A prerequisite to the successful development of quantum computers and simulators is precise understanding of the physical processes occurring therein, which can be achieved by measuring the quantum states that they produce.However, the resources required for traditional quantum state estimation scale exponentially …

ca, gb, ru, ae, at (code pays fourni par la source)

Interferobot: aligning an optical interferometer by a reinforcement learning agent

Dmitry Sorokin, ALEXANDER V. ULANOV, Ekaterina A. Sazhina, Alexander I. Lvovsky

Limitations in acquiring training data restrict potential applications of deep reinforcement learning (RL) methods to the training of real-world robots. Here we train an RL agent to align a Mach-Zehnder interferometer, which is an essential part of many optical experiments, based on …

Continuous-variable quantum tomography of high-amplitude states

Ekaterina Fedotova, Nikolai Kuznetsov, Egor Tiunov, Alexander E. Ulanov et autres

Quantum state tomography is an essential component of modern quantum technology. In application to continuous-variable harmonic-oscillator systems, such as the electromagnetic field, existing tomography methods typically reconstruct the state in discrete bases, and are hence limited to states with relatively low amplitudes …

at, ch, ae, de, gb (code pays fourni par la source)

Training neural networks with end-to-end optical backpropagation

James C. Spall, Xianxin Guo, Alexander I. Lvovsky

Optics is an exciting route for the next generation of computing hardware for machine learning, promising several orders of magnitude enhancement in both computational speed and energy efficiency. However, to reach the full capacity of an optical neural network it is necessary …