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How to use the dispersion in the χ(3) tensor for broadband generation of polarization-entangled photons

Physical Review Research 2025年第2期7卷 L022017-L022017页

作者： Valeria Vento Francesco Ciccarello Sakthi Priya Amirtharaj Christophe Galland Institute of Physics Swiss Federal Institute of Technology Lausanne (EPFL) CH-1015 Lausanne Switzerland Center of Quantum Science and Engineering Swiss Federal Institute of Technology Lausanne (EPFL) CH-1015 Lausanne Switzerland Present address: Centre for Quantum Information Communication and Computing Indian Institute of Technology Madras Chennai Tamil Nadu 600036 India.

Polarization-entangled photon pairs are a widely used resource in quantum optics and technologies and are often produced using a nonlinear process. Most sources based on spontaneous parametric down-conversion have relatively narrow optical bandwidths because the pump, signal, and idler frequencies must satisfy a phase-matching condition. Extending the bandwidth—for example, to achieve spectral multiplexing—requires changing some experimental parameters such as temperature, crystal angle, poling period, etc. Here we demonstrate broadband (tens of THz for each photon) generation of polarization-entangled photon pairs by spontaneous four-wave mixing in a diamond crystal, with a simple colinear geometry requiring no further optical engineering. Our approach leverages the quantum interference between electronic and vibrational contributions to the χ(3) tensor. Entanglement is characterized by a single realization of a Bell test over the entire bandwidth using fiber dispersion spectroscopy and fast single-photon detectors. The results agree with the biphoton wave function predicted from the knowledge of the χ(3) and Raman tensors and demonstrate the general applicability of our approach to other crystalline materials.

关键词： Four wave mixing

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Detection of Brain Tumor Using U-Net Model Approach

Detection of Brain Tumor Using U-Net Model Approach

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International Conference on Smart Systems and Wireless Communication, SSWC 2024

作者： Patra, Arunima Paul, Krishnangshu Paul, Prithwineel Department of Computer Science and Engineering Institute of Engineering and Management Kolkata India Department of Computer Science and Engineering University of Engineering and Management Kolkata India Department of Computer Science and Engineering Centre of Excellence for Quantum Computing Institute of Engineering & Management University of Engineering and Management Kolkata India

ISBN: (纸本)9789819613472

This study introduces an innovative deep learning methodology leveraging the U-Net framework for medical image segmentation and lesion detection in brain tumors. U-net architecture contains encoder and decoder blocks which in turn are capable of capturing and propagation of information of the features. In this paper, for brain tumor segmentation, a U-Net Convolutional Neural Network (CNN) is employed, utilizing multimodal magnetic resonance imaging (MRI) data and skip connections for precise tumor localization and segmentation. Through comprehensive experiments, we show that our method outperforms traditional techniques and current CNN models for medical image segmentation and lesion detection in brain tumors. Moreover, the proposed method can perform the task with higher accuracy. This tailored U-Net architecture demonstrates the potential for advancing medical image analysis, enabling precise segmentation and lesion detection, ultimately leading to improved patient care and treatment outcomes. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Image segmentation

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Automatic 3D modeling and exploration of indoor structures from panoramic imagery 24

Automatic 3D modeling and exploration of indoor structures f...

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2024 SIGGRAPH Asia 2024 Courses, SA Courses 2024

作者： Gobbetti, Enrico Pintore, Giovanni Agus, Marco National Research Center in High-Performance Computing Big Data and Quantum Computing Cagliari Italy Visual and Data-intensive Computing Center for Advanced Studies Research and Development in Sardinia Cagliari Italy College of Science and Engineering Hamad Bin Khalifa University Doha Qatar

ISBN: (纸本)9798400711350

Surround-view panoramic imaging delivers extensive spatial coverage and is widely supported by professional and commodity capture devices. Research on inferring and exploring 3D indoor models from 360° images has recently flourished, resulting in highly effective solutions. Nevertheless, challenges persist due to the complexity and variability of indoor environments and issues with noisy and incomplete data. This course provides an up-to-date integrative view of the field. After introducing a characterization of input sources, we define the structure of output models, the priors exploited to bridge the gap between imperfect input and desired output, and the main characteristics of geometry reasoning and data-driven approaches. We then identify and discuss the main sub-problems in indoor reconstruction from panoramas and review and analyze state-of-the-art solutions for indoor capture, room modeling, integrated model computation, visual representation generation, and immersive exploration. Relevant examples of implemented pipelines are described, focusing on deep-learning solutions. We finally point out relevant research issues and analyze research trends. © 2024 Copyright held by the owner/author(s).

关键词： 3D reconstruction

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A Comparative Study of LSTM Models on Sentiment Analysis 6

A Comparative Study of LSTM Models on Sentiment Analysis

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6th International Conference on Computational Intelligence and Networks, CINE 2024

作者： Choudhury, Ritabrata Roy Dey, Soumik Paul, Prithwineel Kalinga Institute of Industrial Technology School of Computer Engineering Odisha Bhubaneswar India Institute of Engineering & Management University of Engineering & Management Centre of Excellence for Quantum Computing Department of Computer Science and Engineering West Bengal Kolkata India

ISBN: (纸本)9798331516796

In this paper, we conduct a comparative analysis of LSTM (Long Short-Term Memory) architectures, including GPU LSTM and Convolutional LSTM, for sentiment analysis tasks on an e-commerce dataset. The evaluation is based on precision, recall, and F1-score metrics for classifying positive and negative sentiments in product reviews. Both GPU LSTM and Convolutional LSTM models demonstrate strong performance in classifying positive sentiments. Moreover, these models achieve high precision, recall, and F1-score. However, they struggle with negative sentiment classification, exhibiting zero precision, recall, and F1-score for this class. Overall, both models achieve an accuracy of 0.97, indicating their effectiveness in sentiment analysis tasks. Furthermore, our study underscores the importance of further research to enhance the ability of the LSTM model to classify negative sentiments in e-commerce datasets accurately. © 2024 IEEE.

关键词： Convolutional LSTM E-commerce F1-score GPU LSTM LSTM Precision Recall Sentiment Analysis

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Implementing arbitrary multimode continuous-variable quantum gates with fixed non-Gaussian states and adaptive linear optics

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Physical Review A 2024年第2期110卷 022614-022614页

作者： Fumiya Hanamura Warit Asavanant Hironari Nagayoshi Atsushi Sakaguchi Ryuhoh Ide Kosuke Fukui Peter van Loock Akira Furusawa Department of Applied Physics School of Engineering Optical Quantum Computing Research Team Institute of Physics

Non-Gaussian quantum gates are essential components for optical quantum information processing. However, the efficient implementation of practically important multimode higher-order non-Gaussian gates has not been comprehensively studied. We propose a measurement-based method to directly implement general, multimode, and higher-order non-Gaussian gates using only fixed non-Gaussian ancillary states and adaptive linear optics. Compared to existing methods, our method allows for a more resource-efficient and experimentally feasible implementation of multimode gates that are important for various applications in optical quantum technology, such as the two-mode cubic quantum nondemolition gate or the three-mode continuous-variable Toffoli gate, and their higher-order extensions. Our results will expedite the progress toward fault-tolerant universal quantum computing with light.

关键词： quantum circuits quantum computation quantum gates quantum harmonic oscillator quantum information processing

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A polynomial quantum computing algorithm for solving the dualization problem for positive boolean functions

A polynomial quantum computing algorithm for solving the dua...

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2023 International Workshop on AI for quantum and quantum for AI, AIQxQIA 2023

作者： Mezzini, Mauro Gomez, Fernando Cuartero Lopez Pelayo, Fernando Paulet Gonzalez, Jose Javier de la Cruz Calvo, Hernan Indibil Pascual, Vicente Department of Education Roma Tre University Rome00185 Italy Computing Systems Department Faculty of Computer Science Engineering University of Castilla-La Mancha Albacete02071 Spain Quantum Computing Department Qsimov Quantum Computing S.L Talavera de la Reina Toledo45600 Spain

Given two positive Boolean functions ∱ : {0, 1}n → {0, 1} and g : {0, 1}n → {0, 1} expressed in their positive irredundant DNF Boolean formulas, the dualization problem consists in determining if g is the dual of ∱, that is if ∱(x1, . . ., xn) = g(x1, . . . xn) for all (x1, . . . xn) ∈ {0, 1}n. In this paper we present a quantum computing algorithm that solves the dualization problem in polynomial time with respect to the dimensions of the DNF expressions. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Boolean Functions Computational complexity Dualization quantum Algorithm

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Out-of-time-order correlation as a witness for topological phase transitions

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Physical Review B 2023年第2期107卷 L020202-L020202页

作者： Qian Bin Liang-Liang Wan Franco Nori Ying Wu Xin-You Lü School of Physics and Institute for Quantum Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China Theoretical Quantum Physics Laboratory RIKEN Cluster for Pioneering Research Wako-shi Saitama 351-0198 Japan RIKEN Center for Quantum Computing (RQC) 2-1 Hirosawa Wako-shi Saitama 351-0198 Japan Physics Department The University of Michigan Ann Arbor Michigan 48109-1040 USA

We propose a physical witness for dynamically detecting topological phase transitions (TPTs) via an experimentally observable out-of-time-order correlation (OTOC). The distinguishable OTOC dynamics appears in the topological trivial and nontrivial phases due to the topological locality. In the long-time limit, the OTOC undergoes a zero-to-finite-value transition at the critical point of the TPTs. This transition is robust to the choices of the initial state of the system and the operators used in the OTOC. The proposed OTOC witness can be applied to systems with and without chiral symmetry, e.g., the lattices described by the Su-Schrieffer-Heeger model, Creutz model, and Haldane model. Moreover, our proposal, as a physical witness in real space, is still valid even in the presence of disorder. Our work fundamentally brings the OTOC into the realm of TPTs and offers the prospect of exploring topological physics with quantum correlations.

关键词： quantum correlations in quantum information quantum optics Topological phase transition Chiral symmetry

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quantum watermarking based on threshold segmentation using quantum informational entropy

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Chinese Physics B 2022年第4期31卷 116-122页

作者： Jia Luo Ri-Gui Zhou Wen-Wen Hu YaoChong Li Gao-Feng Luo College of Information Engineering Shanghai Maritime UniversityShanghai 201306China Research Center of Intelligent Information Processing and Quantum Intelligent Computing Shanghai 201306China College of Information Engineering Shaoyang UniversityShaoyang 422000China

We propose a new quantum watermarking scheme based on threshold selection using informational entropy of quantum *** core idea of this scheme is to embed information into object and background of cover image in different ***,a threshold method adopting the quantum informational entropy is employed to determine a threshold *** threshold value can then be further used for segmenting the cover image to a binary image,which is an authentication key for embedding and extraction *** a careful analysis of the quantum circuits of the scheme,that is,translating into the basic gate sequences which show the low complexity of the *** of the simulation-based experimental results is entropy difference which measures the similarity of two images by calculating the difference in quantum image informational entropy between watermarked image and cover ***,the analyses of peak signal-to-noise ratio,histogram and capacity of the scheme are also provided.

关键词： quantum image watermarking threshold segmentation quantum informational entropy quantum circuit

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Stochastic Error Cancellation in Analog quantum Simulation 19

Stochastic Error Cancellation in Analog Quantum Simulation

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19th Conference on the Theory of quantum Computation, Communication and Cryptography, TQC 2024

作者： Cai, Yiyi Tong, Yu Preskill, John Institute for Quantum Information and Matter California Institute of Technology PasadenaCA United States Department of Electrical Engineering California Institute of Technology PasadenaCA United States AWS Center for Quantum Computing PasadenaCA United States

ISBN: (纸本)9783959773287

Analog quantum simulation is a promising path towards solving classically intractable problems in many-body physics on near-term quantum devices. However, the presence of noise limits the size of the system and the length of time that can be simulated. In our work, we consider an error model in which the actual Hamiltonian of the simulator differs from the target Hamiltonian we want to simulate by small local perturbations, which are assumed to be random and unbiased. We analyze the error accumulated in observables in this setting and show that, due to stochastic error cancellation, with high probability the error scales as the square root of the number of qubits instead of linearly. We explore the concentration phenomenon of this error as well as its implications for local observables in the thermodynamic limit. Moreover, we show that stochastic error cancellation also manifests in the fidelity between the target state at the end of time-evolution and the actual state we obtain in the presence of noise. This indicates that, to reach a certain fidelity, more noise can be tolerated than implied by the worst-case bound if the noise comes from many statistically independent sources. © Yiyi Cai, Yu Tong, and John Preskill.

关键词： Stochastic systems

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Exploring light-cone distribution amplitudes from quantum computing

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Science China(Physics,Mechanics & Astronomy) 2023年第8期66卷 57-65页

作者： Tianyin Li Xingyu Guo Wai Kin Lai Xiaohui Liu Enke Wang Hongxi Xing Dan-Bo Zhang Shi-Liang Zhu Guangdong Provincial Key Laboratory of Nuclear Science Institute of Quantum MatterSouth China Normal UniversityGuangzhou 510006China Guangdong-Hong Kong Joint Laboratory of Quantum Matter Southern Nuclear Science Computing Center South China Normal University.Guangzhou 510006China Department of Physics and Astronomy University of CaliforniaLos Angeles 90095USA Center of Advanced Quantum Studies Department of PhysicsBeijing Normal UniversityBejing 100875China Center for High Energy Physics Peking UniversityBeijing 100871China Guangdong-Hong Kong Joint Laboratory of Quantum Matter Frontier Research Institute for PhysicsSouth China Normal UniversityGuangzhou 510006China Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials School of Physics and Telecommunication EngineeringSouth China Normal UniversityGuangzhou 510006China

Light-cone distribution amplitudes(LCDAs)are essential nonperturbative quantities for theoretical predictions of exclusive highenergy processes in quantum chromodynamics(QCD).We demonstrate the prospect of calculating LCDAs on a quantum computer by applying a recently proposed quantum algorithm,with staggered fermions,to the simulation of the LCDA in the(1+1)-dimensional Nambu-Jona-Lasinio(NJL)model on classical *** agreement between the result from the classical simulation of the quantum algorithm and that from exact diagonalization justifies the proposed quantum *** find that the resulting LCDA in the NJL model exhibits features shared with the LCDAs obtained from the QCD.

关键词： light-cone distribution amplitude quantum algorithm NJL model

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