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Density matrices evolved according the von Neumann equation are commonly used to simulate the dynamics of driven quantum systems. However, computational methods using density matrices are often too slow to explore the large parameter spaces…

Computational Physics · Physics 2022-02-02 Spenser Talkington , HongWen Jiang

We demonstrate a method for general linear optical networks that allows one to factorize any SU($n$) matrix in terms of two SU($n-1)$ blocks coupled by an SU(2) entangling beam splitter. The process can be recursively continued in an…

Quantum Physics · Physics 2018-03-07 Hubert de Guise , Olivia Di Matteo , Luis L. Sanchez-Soto

A large number of applications in classical and quantum photonics require the capability of implementing arbitrary linear unitary transformations on a set of optical modes. In a seminal work by Reck et al. it was shown how to build such…

Quantum Physics · Physics 2019-12-11 Víctor J. López-Pastor , Jeff S. Lundeen , Florian Marquardt

Sorting spatial optical modes is a key challenge that underpins many applications from super-resolved imaging to high-dimensional quantum key distribution. However, to date implementations of optical mode sorters only operate on specific…

Optics · Physics 2020-07-01 Hugo Defienne , Daniele Faccio

Photonic circuits are central to classical and quantum information processing. While integrated technologies dominate, free-space architectures are emerging as attractive alternatives, offering broad bandwidth and direct manipulation of…

Nonlinear optical processes are governed by the relative-phase relationships among the relevant electromagnetic fields in these processes. In this Letter, we describe the physics of arbitrary manipulation of nonlinear optical processes…

Quantum Physics · Physics 2014-06-17 Jian Zheng , Masayuki Katsuragawa

We present a comprehensive study of the impact of non-uniform, i.e.\ path-dependent, photonic losses on the computational complexity of linear-optical processes. Our main result states that, if each beam splitter in a network induces some…

Quantum Physics · Physics 2020-05-20 Daniel Jost Brod , Michał\ Oszmaniec

Four-dimensional optics leverages the simultaneous control of materials in space and time to manipulate light. A key challenge in experimentally realizing many intriguing phenomena is the need for rapid modulation, which is hindered by the…

Optics · Physics 2025-06-26 M. H. Mostafa , M. S. Mirmoosa , E. Galiffi , S. Yin , A. Alù , S. A. Tretyakov

Decomposing complex unitary evolution into a series of constituent components is a cornerstone of practical quantum information processing. While the decompostion of an $n\times n$ unitary into a series of $2\times2$ subunitaries is well…

Quantum Physics · Physics 2023-09-25 Christian Arends , Lasse Wolf , Jasmin Meinecke , Sonja Barkhofen , Tobias Weich , Tim Bartley

The advances in geometric approaches to optical devices due to transformation optics has led to the development of cloaks, concentrators, and other devices. It has also been shown that transformation optics can be used to gravitational…

Other Condensed Matter · Physics 2017-03-13 Sophia R. Sklan , Baowen Li

Spatial light modulators are widely used to perform modulations of different properties of the electromagnetic field. In this work, a simple optimization method for general double-pass setups was developed. It takes into account the…

Optics · Physics 2022-02-09 Sebastián Bordakevich , Lorena Rebón , Silvia Ledesma

Interferences in multi-path systems for single and multiple particles are theoretically analyzed. A holistic method is presented, which allows to construct the unitary transition matrix describing interferometers for any port number d and…

Quantum Physics · Physics 2019-12-10 Bülent Demirel

In this work we study the tomography of the spatial structure of light. We develop a simple technique that allows one to perform the tomography over the space of fixed order modes. The technique is based on two spatially resolved intensity…

We numerically investigate the implementation of Haar-random unitarity transformations and Fourier transformations in photonic devices consisting of beam splitters and phase shifters, which are used for integrated photonics implementations…

Structured light illumination is an active 3-D scanning technique based on projecting/capturing a set of striped patterns and measuring the warping of the patterns as they reflect off a target object's surface. In the case of phase…

Computer Vision and Pattern Recognition · Computer Science 2017-06-09 Daniel L. Lau , Yu Zhang , Kai Liu

Integrated photonic devices have become pivotal elements across most research fields that involve light-based applications. A particularly versatile category of this technology are programmable photonic integrated processors, which are…

The insensitivity of photons towards external magnetic fields forms one of the hardest barriers against efficient magneto-optical control, aiming at modulating the polarization state of light. However, there is even scarcer evidence of…

Mesoscale and Nanoscale Physics · Physics 2024-08-02 Magdalena Furman , Rafał Mirek , Mateusz Król , Wojciech Pacuski , Helgi Sigurðsson , Jacek Szczytko , Barbara Piętka

We theoretically investigate quantum interference of two single photons at a lossy asymmetric beam splitter, the most general passive 2$\times$2 optical circuit. The losses in the circuit result in a non-unitary scattering matrix with a…

Quantum Physics · Physics 2016-09-22 Ravitej Uppu , Tom A. W. Wolterink , Tristan B. H. Tentrup , Pepijn W. H. Pinkse

We demonstrate ultrafast dephasing in the random transport of light through a layer consisting of strongly scattering GaP nanowires. Dephasing results in a nonlinear intensity modulation of individual pseudomodes which is 100 times larger…

Mesoscale and Nanoscale Physics · Physics 2011-04-21 Martina Abb , Erik P. A. M. Bakkers , Otto L. Muskens

Performing linear operations using optical devices is a crucial building block in many fields ranging from telecommunication to optical analogue computation and machine learning. For many of these applications, key requirements are…