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Detecting entanglement in multipartite quantum states is an inherently probabilistic process, typically with a few measured samples. The level of confidence in entanglement detection quantifies the scheme's validity via the probability that…

Recently, there has been a surge of interest in employing neural networks for graph generation, a fundamental statistical learning problem with critical applications like molecule design and community analysis. However, most approaches…

Machine Learning · Computer Science 2024-07-31 Yunhui Jang , Seul Lee , Sungsoo Ahn

A single linear optical set-up is used to observe an entire family of four-photon entangled states. This approach breaks with the inflexibility of present linear-optical set-ups usually designed for the observation of a particular…

In the regime of weak nonlinearity we present two general feasible schemes. One is an entangler for generating any one of the $n$-photon Greenberger-Horne-Zeilinge (GHZ) states and Bell states. After the interactions with cross-Kerr…

Quantum Physics · Physics 2023-06-23 Dong Ding , Fengli Yan

Scene graphs provide a rich, structured representation of a scene by encoding the entities (objects) and their spatial relationships in a graphical format. This representation has proven useful in several tasks, such as question answering,…

Computer Vision and Pattern Recognition · Computer Science 2022-12-01 Sanjoy Kundu , Sathyanarayanan N. Aakur

Following recent breakthroughs in convolutional neural networks and monolithic model architectures, state-of-the-art object detection models can reliably and accurately scale into the realm of up to thousands of classes. Things quickly…

Computer Vision and Pattern Recognition · Computer Science 2017-11-30 Aayush Garg , Thilo Will , William Darling , Willi Richert , Clemens Marschner

Multiphoton entanglement, as a quantum resource, plays an essential role in linear optical quantum information processing. Krenn et al. (Phys. Rev. Lett. 118, 080401 2017) proposed an innovative scheme that generating entanglement by path…

Quantum Physics · Physics 2020-04-09 Tianfeng Feng , Xiaoqian Zhang , Yuling Tian , Qin Feng

We present two realistic entanglement concentration protocols (ECPs) for pure partially entangled photons. A partially entangled photon pair can be concentrated to a maximally entangled pair with only an ancillary single photon in a certain…

Quantum Physics · Physics 2015-06-04 Yu-Bo Sheng , Lan Zhou , Sheng-Mei Zhao , Bao-Yu Zheng

We describe a method to detect twin-beam multiphoton entanglement based on a beam splitter and weak nonlinearities. For the twin-beam four-photon entanglement, we explore a symmetry detector. It works not only for collecting two-pair…

Quantum Physics · Physics 2020-08-04 Yingqiu He , Dong Ding , Fengli Yan , Ting Gao

Generative models of graph structure have applications in biology and social sciences. The state of the art is GraphRNN, which decomposes the graph generation process into a series of sequential steps. While effective for modest sizes, it…

Machine Learning · Computer Science 2019-10-18 Tony Duan , Juho Lee

We demonstrate a Fock-state filter which is capable of preferentially blocking single photons over photon pairs. The large conditional nonlinearities are based on higher-order quantum interference, using linear optics, an ancilla photon,…

Quantum Physics · Physics 2007-06-13 K. J. Resch , J. L. O'Brien , T. J. Weinhold , K. Sanaka , A. G. White

An experimental scheme is proposed for building massively multipartite entangled states using both the spatial and the frequency modes of an optical parametric oscillator. We provide analytical forms of the entangled states using the…

Quantum Physics · Physics 2020-04-29 Rongguo Yang , Jing Zhang , Israel Klich , Carlos González-Arciniegas , Olivier Pfister

Tracking of plant cells in images obtained by microscope is a challenging problem due to biological phenomena such as large number of cells, non-uniform growth of different layers of the tightly packed plant cells and cell division.…

Computer Vision and Pattern Recognition · Computer Science 2023-09-22 Md Shazid Islam , Arindam Dutta , Calvin-Khang Ta , Kevin Rodriguez , Christian Michael , Mark Alber , G. Venugopala Reddy , Amit K. Roy-Chowdhury

Here is proposed a general subgraph-based method for efficiently sampling certain graphical models, typically using subgraphs of a fixed treewidth, and also a related method for finding minimum energy (ground) states. In the case of models…

Statistical Mechanics · Physics 2014-09-16 Alex Selby

We show how an idealised measurement procedure can condense photons from two modes into one, and how, by feeding forward the results of the measurement, it is possible to generate efficiently superpositions of components for which only one…

Quantum Physics · Physics 2009-11-13 Hugo Cable , Jonathan P. Dowling

Given a set of points in the plane, we want to establish a connection network between these points that consists of several disjoint layers. Motivated by sensor networks, we want that each layer is spanning and plane, and that no edge is…

We show how to create maximal entanglement between spectrally distinct solid-state emitters embedded in a waveguide interferometer. By revealing the rich underlying structure of multi-photon scattering in emitters, we show that a two-photon…

Quantum Physics · Physics 2019-07-17 David L. Hurst , Kristoffer B. Joanesarson , Jake Iles-Smith , Jesper Mørk , Pieter Kok

We propose an efficient algorithm for graph matching based on similarity scores constructed from counting a certain family of weighted trees rooted at each vertex. For two Erd\H{o}s-R\'enyi graphs $\mathcal{G}(n,q)$ whose edges are…

Data Structures and Algorithms · Computer Science 2023-02-15 Cheng Mao , Yihong Wu , Jiaming Xu , Sophie H. Yu

Photonic graph states, quantum light states where multiple photons are mutually entangled, are key resources for optical quantum technologies. They are notably at the core of error-corrected measurement-based optical quantum computing and…

High-speed generation and efficient entanglement detection on a photonic chip are essential for quantum information applications but hard to achieve due to common photonic chips' material properties and limited component performance. In…

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