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Whilst holding great promise for low noise, ease of operation and networking, useful photonic quantum computing has been precluded by the need for beyond-state-of-the-art components, manufactured by the millions. Here we introduce a…

Quantum Physics · Physics 2024-04-29 Koen Alexander , Andrea Bahgat , Avishai Benyamini , Dylan Black , Damien Bonneau , Stanley Burgos , Ben Burridge , Geoff Campbell , Gabriel Catalano , Alex Ceballos , Chia-Ming Chang , CJ Chung , Fariba Danesh , Tom Dauer , Michael Davis , Eric Dudley , Ping Er-Xuan , Josep Fargas , Alessandro Farsi , Colleen Fenrich , Jonathan Frazer , Masaya Fukami , Yogeeswaran Ganesan , Gary Gibson , Mercedes Gimeno-Segovia , Sebastian Goeldi , Patrick Goley , Ryan Haislmaier , Sami Halimi , Paul Hansen , Sam Hardy , Jason Horng , Matthew House , Hong Hu , Mehdi Jadidi , Henrik Johansson , Thomas Jones , Vimal Kamineni , Nicholas Kelez , Ravi Koustuban , George Kovall , Peter Krogen , Nikhil Kumar , Yong Liang , Nicholas LiCausi , Dan Llewellyn , Kimberly Lokovic , Michael Lovelady , Vitor Manfrinato , Ann Melnichuk , Mario Souza , Gabriel Mendoza , Brad Moores , Shaunak Mukherjee , Joseph Munns , Francois-Xavier Musalem , Faraz Najafi , Jeremy L. O'Brien , J. Elliott Ortmann , Sunil Pai , Bryan Park , Hsuan-Tung Peng , Nicholas Penthorn , Brennan Peterson , Matt Poush , Geoff J. Pryde , Tarun Ramprasad , Gareth Ray , Angelita Rodriguez , Brian Roxworthy , Terry Rudolph , Dylan J. Saunders , Pete Shadbolt , Deesha Shah , Hyungki Shin , Jake Smith , Ben Sohn , Young-Ik Sohn , Gyeongho Son , Chris Sparrow , Matteo Staffaroni , Camille Stavrakas , Vijay Sukumaran , Davide Tamborini , Mark G. Thompson , Khanh Tran , Mark Triplet , Maryann Tung , Alexey Vert , Mihai D. Vidrighin , Ilya Vorobeichik , Peter Weigel , Mathhew Wingert , Jamie Wooding , Xinran Zhou

Modelling of photonic devices traditionally involves solving the equations of light-matter interaction and light propagation, and it is restrained by their applicability. Here we demonstrate an alternative modelling methodology by creating…

Quantum Physics · Physics 2024-11-21 Anton N. Vetlugin , Cesare Soci , Nikolay I. Zheludev

Quantum computing is entering a period in which progress will be shaped as much by advances in computer science as by improvements in hardware. The central thesis of this report is that early fault-tolerant quantum computing shifts many of…

The growing computational demands of classical neural networks have intensified the search for energy-efficient and powerful computational alternatives. Quantum neural networks (QNNs) implemented on integrated photonic platforms offer a…

Quantum computers provide a fundamentally new computing paradigm that promises to revolutionize our ability to solve broad classes of problems. Surprisingly, the basic mathematical structures of gate-based quantum computing, such as unitary…

Quantum Physics · Physics 2019-08-20 Brian R. La Cour , S. Andrew Lanham , Corey I. Ostrove

We propose a hybrid quantum-classical approximate optimization algorithm for photonic quantum computing, specifically tailored for addressing continuous-variable optimization problems. Inspired by counterdiabatic protocols, our algorithm…

Quantum Physics · Physics 2024-10-03 Pranav Chandarana , Koushik Paul , Mikel Garcia-de-Andoin , Yue Ban , Mikel Sanz , Xi Chen

Quantum computing (QC) has gained popularity due to its unique capabilities that are quite different from that of classical computers in terms of speed and methods of operations. This paper proposes hybrid models and methods that…

Quantum Physics · Physics 2019-11-12 Akshay Ajagekar , Travis Humble , Fengqi You

Quantum computing has been pursued with various hardware platforms, and an optical system is one of the most reasonable choices for large-scale computation. In the optical continuous-variable computation scheme, the incorporation of…

Most quantum computer realizations require the ability to apply local fields and tune the couplings between qubits, in order to realize single bit and two bit gates which are necessary for universal quantum computation. We present a scheme…

Quantum Physics · Physics 2009-11-07 Xingxiang Zhou , Zheng-Wei Zhou , Guang-Can Guo , Marc J. Feldman

Optimization problems are central to many important cross-disciplinary applications.In their conventional implementations, the sequential nature of operations imposes strict limitations on the computational efficiency. Here, we discuss how…

Disordered Systems and Neural Networks · Physics 2025-10-09 Ghazi Sarwat Syed , Philipp Schmidt , Frank Brückerhoff-Plückelmann , Jelle Dijkstra , Wolfram H. P Pernice , Abu Sebastian

We propose an all-linear-optical scheme to ballistically generate a cluster state for measurement-based topological fault-tolerant quantum computation using hybrid photonic qubits entangled in a continuous-discrete domain. Availability of…

Quantum Physics · Physics 2020-08-12 S. Omkar , Y. S. Teo , H. Jeong

We review the field of Optical Quantum Computation, considering the various implementations that have been proposed and the experimental progress that has been made toward realizing them. We examine both linear and nonlinear approaches and…

Quantum Physics · Physics 2019-01-07 T. C. Ralph , G. J. Pryde

Quantum information systems are on a path to vastly exceed the complexity of any classical device. The number of entangled qubits in quantum devices is rapidly increasing and the information required to fully describe these systems scales…

Photonic qubits constitute a leading platform to disruptive quantum technologies due to their unique low-noise properties. The cost of the photonic approach is the non-deterministic nature of many of the processes, including single-photon…

The ability to extract relevant information is critical to learning. An ingenious approach as such is the information bottleneck, an optimisation problem whose solution corresponds to a faithful and memory-efficient representation of…

Quantum Physics · Physics 2023-03-08 Masahito Hayashi , Yuxiang Yang

Integrated photonics offers great potential for quantum communication devices in terms of complexity, robustness and scalability. Silicon photonics in particular is a leading platform for quantum photonic technologies, with further benefits…

Linear optics with photon counting is a prominent candidate for practical quantum computing. The protocol by Knill, Laflamme, and Milburn [Nature 409, 46 (2001)] explicitly demonstrates that efficient scalable quantum computing with single…

Quantum Physics · Physics 2007-05-23 Pieter Kok , W. J. Munro , Kae Nemoto , T. C. Ralph , Jonathan P. Dowling , G. J. Milburn

We present three schemes for constructing a (2,2)-Shor-encoded 6-ring photonic resource state for fusion-based quantum computing, each relying on a different type of photon source. We benchmark these architectures by analyzing their ability…

We propose a quantum information processing platform that utilizes the ultrafast time-bin encoding of photons. This approach offers a pathway to scalability by leveraging the inherent phase stability of collinear temporal interferometric…

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