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Related papers: Variational processing of multimode squeezed light

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Advances in the emerging field of coherent quantum feedback control (CQFC) have led to the development of new capabilities in the areas of quantum control and quantum engineering, with a particular impact on the theory and applications of…

Quantum Physics · Physics 2017-01-17 Constantin Brif , Mohan Sarovar , Daniel B. S. Soh , David R. Farley , Scott E. Bisson

We propose a novel squeezed light source capable of meeting the stringent requirements of continuous variable quantum sampling. Using the effective $\chi_2$ interaction induced by a strong driving beam in the presence of the $\chi_3$…

Quantum Physics · Physics 2019-12-18 Z. Vernon , N. Quesada , M. Liscidini , B. Morrison , M. Menotti , K. Tan , J. E. Sipe

Squeezed light is a critical resource in quantum sensing and information processing. Due to the inherently weak optical nonlinearity and limited interaction volume, considerable pump power is typically needed to obtain efficient…

We introduce a high-dimensional quantum encoding based on coherent mode-dependent single-photon subtraction from multimode squeezed states. This encoding can be seen as a generalization to the case of non-zero squeezing of the standard…

Quantum Physics · Physics 2019-03-06 Francesco Arzani , Alessandro Ferraro , Valentina Parigi

Energy spectroscopy is a powerful tool with diverse applications across various disciplines. The advent of programmable digital quantum simulators opens new possibilities for conducting spectroscopy on various models using a single device.…

Convolution is an essential operation in signal and image processing and consumes most of the computing power in convolutional neural networks. Photonic convolution has the promise of addressing computational bottlenecks and outperforming…

Optics · Physics 2023-08-14 Lingling Fan , Kai Wang , Heming Wang , Avik Dutt , Shanhui Fan

Controllable bosonic systems can provide post-classical computational power with sub-universal quantum computational capability. A network that consists of a number of bosons evolving through beam-splitters and phase-shifters between…

The learning of the physical world relies on sensing and data post-processing. When the signals are weak, multidimensional and correlated, the performance of learning is often bottlenecked by the quality of sensors, calling for integrating…

Quantum Physics · Physics 2025-12-09 Jia-Jin Feng , Anthony J. Brady , Quntao Zhuang

Variational quantum algorithms are hybrid quantum-classical approaches extensively studied for their potential to leverage near-term quantum hardware for computational advantages. In this work, we successfully execute two variational…

Quantum Physics · Physics 2025-01-03 Alessio Baldazzi , Matteo Sanna , Massimo Borghi , Stefano Azzini , Lorenzo Pavesi

We demonstrate a squeezing experiment exploiting the association of integrated optics and telecom technology as key features for compact, stable, and practical continuous variable quantum optics. In our setup, squeezed light is generated by…

Squeezed states of light are essential for emerging quantum technology in metrology and information processing. Chip-integrated photonics offers a route to scalable and efficient squeezed light generation, however, parasitic nonlinear…

Optics · Physics 2025-02-25 Alexander E. Ulanov , Bastian Ruhnke , Thibault Wildi , Tobias Herr

On-chip optical interconnect has been widely accepted as a promising technology to realize future large-scale multiprocessors. Mode-division multiplexing (MDM) provides a new degree of freedom for optical interconnects to dramatically…

Optics · Physics 2020-04-07 Chunlei Sun , Yunhong Ding , Zhen Li , Wei Qi , Yu Yu , Xinliang Zhang

Squeezed light is a crucial resource for continuous-variable (CV) quantum information science. Distributed multi-mode squeezing is critical for enabling CV quantum networks and distributed quantum sensing. To date, multi-mode squeezing…

Recent learning-based lossless image compression methods encode an image in the unit of subimages and achieve comparable performances to conventional non-learning algorithms. However, these methods do not consider the performance drop in…

Image and Video Processing · Electrical Eng. & Systems 2021-12-14 Hochang Rhee , Yeong Il Jang , Seyun Kim , Nam Ik Cho

Spiking Neural Networks (SNNs) are amenable to deployment on edge devices and neuromorphic hardware due to their lower dissipation. Recently, SNN-based transformers have garnered significant interest, incorporating attention mechanisms akin…

Neural and Evolutionary Computing · Computer Science 2024-12-10 Boxun Xu , Yufei Song , Peng Li

Bosonic modes have wide applications in various quantum technologies, such as optical photons for quantum communication, magnons in spin ensembles for quantum information storage and mechanical modes for reversible microwave-to-optical…

Quantum Physics · Physics 2021-06-18 Wen-Long Ma , Shruti Puri , Robert J. Schoelkopf , Michel H. Devoret , S. M. Girvin , Liang Jiang

Frequency-bin encoding furnishes a compelling pathway for quantum information processing systems compatible with established lightwave infrastructures based on fiber-optic transmission and wavelength-division multiplexing. Yet although…

Quantum Physics · Physics 2025-08-26 Karthik V. Myilswamy , Lucas M. Cohen , Suparna Seshadri , Hsuan-Hao Lu , Joseph M. Lukens

Broadband multidimensional variational measurement allows to overcome Standard Quantum Limit (SQL) of a classical mechanical force detection, resulting from quantum back action, which perturbs evolution of a mechanical oscillator. In this…

Quantum Physics · Physics 2023-10-10 Aleksandr A. Movsisian , Sergey P. Vyatchanin

Multimode entanglement is quintessential for the design and fabrication of quantum networks, which play a central role in quantum information processing and quantum metrology. However, an experimental setup is generally constructed with a…

Quantum Physics · Physics 2016-05-10 Y. Cai , J. Roslund , G. Ferrini , F. Arzani , X. Xu , C. Fabre , N. Treps

Variational quantum algorithms hold great promise for unlocking the power of near-term quantum processors, yet high measurement costs, barren plateaus, and challenging optimization landscapes frequently hinder them. Here, we introduce…

Quantum Physics · Physics 2026-03-10 Mengzhen Ren , Yu-Cheng Chen , Yangsen Ye , Min-Hsiu Hsieh , Alice Hu , Chang-Yu Hsieh