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arXiv 2024年

作者： Jang, Wonjin Kim, Jehyun Park, Jaemin Cho, Min-Kyun Jang, Hyeongyu Sim, Sangwoo Jung, Hwanchul Umansky, Vladimir Kim, Dohun NextQuantum Department of Physics and Astronomy Institute of Applied Physics Seoul National University Seoul08826 Korea Republic of Lausanne1015 Switzerland Braun Center for Submicron Research Department of Condensed Matter Physics Weizmann Institute of Science Rehovot76100 Israel Center for Superconducting Quantum Computing System Korea Research Institute of Standards and Science Daejeon34113 Korea Republic of Department of Physics Pusan National University Busan46241 Korea Republic of

Spins in solid systems can inherently serve as qubits for quantum simulation or quantum information processing. Spin qubits are usually prone to environmental magnetic field fluctuations;however, a spin qubit encoded in a decoherence-free-subspace (DFS) can be protected from certain degrees of environmental noise depending on the specific structure of the DFS. Here, we derive the "true" DFS from an antiferromagnetic Heisenberg spin-1/2 trimer, which protects the qubit states against both short- and long-wavelength magnetic field fluctuations. We define the spin trimer with three electrons confined in a gate-defined GaAs double quantum dot (DQD) where we exploit Wigner-molecularization in one of the quantum dots. We first utilize the trimer for dynamic nuclear polarization (DNP), which generates a sizable magnetic field difference, DBz, within the DQD. We show that large DBz significantly alters the eigenspectrum of the trimer and results in the "true" DFS in the DQD. Real-time Bayesian estimation of the DFS energy gap explicitly demonstrates protection of the DFS against short-wavelength magnetic field fluctuations in addition to long-wavelength ones. Our findings pave the way toward compact DFS structures for exchange-coupled quantum dot spin chains, the internal structure of which can be coherently controlled completely decoupled from environmental magnetic fields. Copyright © 2024, The Authors. All rights reserved.

关键词： Nanocrystals

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Circuit Design of Two-Step quantum Search Algorithm for Solving Traveling Salesman Problems

arXiv

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arXiv 2024年

作者： Sato, Rei Cui, Gordon Saito, Kazuhiro Kawashima, Hideyuki Nikuni, Tetsuro Watabe, Shohei AI Division Quantum Computing Group KDDI Research Inc. Saitama Fujimino356-8502 Japan Faculty of Environment and Information Studies Keio University Kanagawa Fujisawa252-0882 Japan Department of Physics Tokyo University of Science Shinjuku Tokyo162-8601 Japan Faculty of Engineering Computing Science and Engineering Shibaura Institute of Technology Toyosu Tokyo135-8548 Japan

quantum search algorithms, such as Grover's algorithm, are expected to efficiently solve constrained combinatorial optimization problems. However, implementing a quantum search algorithm for solving the traveling salesman problem (TSP) on a circuit poses a potential challenge because current quantum search algorithms for TSP assume that an initial state of equal superposition of feasible solution states satisfying the constraint is already prepared a priori. The time complexity of brute-force preparation of the initial state increases exponentially with the factorial growth of feasible solutions, posing a considerable obstacle in designing quantum circuits for large-scale TSP. To overcome this problem, we propose a two-step quantum search algorithm with two distinct operators for preparing the initial state and solving TSP. The algorithm first amplifies an equal superposition state of all feasible solutions of TSP and subsequently amplifies the optimal solution states among these feasible solution states. Our algorithm, encoded in the higher-order unconstrained binary optimization (HOBO) representation, notably reduces the required number of qubits, enabling efficient preparation of the initial state with a unified circuit design and solving TSP with a quadratic speedup in the absence of prior knowledge of feasible solutions. Copyright © 2024, The Authors. All rights reserved.

关键词： Traveling salesman problem

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High-Resolution Optical Imaging Incorporated Non-Destructive Morphological Boundary Detection of Fruit Disorders: A Pilot Study 6

High-Resolution Optical Imaging Incorporated Non-Destructive...

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6th International Conference on Advancements in computing, ICAC 2024

作者： Hakmana, Nethmi Tharushi Kahatapitiya, Nipun Shantha Weerasinghe, Sasmitha Kalupahana, Deshan Silva, Bhagya Nathali Ravichandran, Naresh Kumar Seong, Daewoon Han, Sangyeob Lee, Seung Yeol June, Hee-Young Jeon, Mansik Kim, Jeehyun Wijenayake, Udaya Wijesinghe, Ruchire Eranga Faculty of Engineering Sri Lanka Institute of Information Technology Department of Mechanical Engineering Malabe Sri Lanka Faculty of Engineering University of Sri Jayewardenepura Department of Computer Engineering Nugegoda Sri Lanka Faculty of Computing Sri Lanka Institute of Information Technology Department of Information Technology Malabe Sri Lanka Sri Lanka Institute of Information Technology Malabe Sri Lanka Center for Scientific Instrumentation Korea Basic Science Institute Daejeon Korea Republic of School of Electronic and Electrical Engineering College of IT Engineering Kyungpook National University Daegu Korea Republic of ICT Convergence Research Center Kyungpook National University Daegu Korea Republic of Kyungpook National University Department of Plant Medicine Daegu Korea Republic of Institute of Plant Medicine Kyungpook National University Daegu Korea Republic of Faculty of Engineering Sri Lanka Institute of Information Technology Department of Electrical and Electronic Engineering Malabe Sri Lanka

ISBN: (纸本)9798331517878

Plant diseases caused by various pathogens, such as fungi, bacteria, and viruses, lead to significant reductions in crop yield and quality. Early detection of these diseases is critical for preventing their spread and optimizing crop yield. Traditional methods of disease detection, while effective, often involve invasive or time-consuming procedures that may not provide real-time insights. This study investigates the use of Swept-Source Optical Coherence Tomography (SS-OCT) for non-destructive, high-resolution imaging to identify morphological abnormalities in fruit specimens affected by diseases. The research focuses on differentiating healthy regions, healthy boundaries, infected boundaries, and fully infected regions in apples. Using a 1310 nm center wavelength laser, the SS-OCT system captured detailed cross-sectional images of fruit tissue, revealing microstructural changes associated with disease progression. A qualitative assessment of the two-dimensional (2D) OCT images highlighted distinct layers in healthy tissues, noticeable structural deformities, and the merging of microstructural layers in the boundary and infected regions. Quantitative depth-profile analysis of axial-direction A-scan profiles further demonstrated the reduction and merging of intensity peaks correlating with tissue abnormalities in infected fruit specimens. These findings underscore the potential of SS-OCT as an effective tool for early disease detection in agricultural products, providing a means for timely intervention and optimized postharvest management. © 2024 IEEE.

关键词： Fruits

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Edge Connectivity Augmentation in Near-Linear Time

arXiv

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arXiv 2022年

作者： Cen, Ruoxu Li, Jason Panigrahi, Debmalya Department of Computer Science Duke University United States Simons Institute for Theory of Computing University of California Berkeley United States

We give an Õ(m)-time algorithm for the edge connectivity augmentation problem and the closely related edge splitting-off problem. This is optimal up to lower order terms and closes the long line of work on these ...

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A Machine Learning Approach for Predictive Analysis of Jasmine Flower Yield and Plant Health Monitoring

A Machine Learning Approach for Predictive Analysis of Jasmi...

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Electronic Systems and Intelligent computing (ICESIC), International Conference on

作者： P. Malathi S. Rukmani Devi K. Senbagam T. Thirumalaikumari H. Anwer Basha B. Thamizhkani Department of Computer Science Saveetha College of Liberal Arts and Sciences Saveetha Institute of Medical and Technical Sciences Chennai Tamil Nadu India Department of Computer Science and Engineering Dhanalakshmi Srinivasan College of Engineering and Technology Mamallapuram Chennai Tamil Nadu India Department of Information Technology School of Computing Vels Institute of Science Technology & Advanced Studies (VISTAS) Chennai Tamil Nadu India Department of EEE New Prince Shri Bhavani College of Engineering and Technology Chennai Tamil Nadu India

ISBN: (数字)9798331522988

ISBN: (纸本)9798331522995

Plant diseases and unpredictable yields are two issues that jasmine flower production must deal with, necessitating cutting-edge solutions for effective crop management. It provides a hybrid approach for plant health monitoring and jasmine yield prediction based on machine learning. For yield prediction, a Random Forest algorithm is used, and for illness identification via picture analysis, a Convolutional Neural Network (CNN) is deployed. For realtime monitoring, leaf photos and data from IoT sensors such as temperature, humidity, and soil moisture are analyzed. The suggested model outperforms conventional models in terms of accuracy, with a Mean Absolute Error (MAE) of 7.3 and an accuracy of 89% for yield prediction. CNN's F1-score for identifying plant diseases was 90.5%. With the help of TensorFlow and MATLAB Simulink, the system is implemented and offers farmers useful information. This all-inclusive solution improves crop management efficiency in jasmine production by optimizing yield projections and early disease detection.

关键词： Temperature sensors Plant diseases Accuracy Production Predictive models Flowering plants Mathematical models Convolutional neural networks Monitoring Random forests

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Optimized Current Density Reconstruction from Widefield quantum Diamond Magnetic Field Maps

arXiv

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arXiv 2024年

作者： Midha, Siddhant Parashar, Madhur Bathla, Anuj Broadway, David A. Tetienne, Jean-Philippe Saha, Kasturi Department of Electrical Engineering Indian Institute of Technology Bombay Powai Mumbai400076 India Center for Research in Nanotechnology and Science Indian Institute of Technology Bombay Powai Mumbai400076 India School of Science RMIT University MelbourneVIC3001 Australia Center of Excellence in Quantum Information Computing Science and Technology Indian Institute of Technology Bombay Powai Mumbai400076 India Indian Institute of Technology Bombay Powai Mumbai400076 India

quantum Diamond Microscopy using Nitrogen-Vacancy (NV) defects in diamond crystals has enabled the magnetic field imaging of a wide variety of nanoscale current profiles. Intimately linked with the imaging process is the problem of reconstructing the current density, which provides critical insight into the structure under study. This manifests as a non-trivial inverse problem of current reconstruction from noisy data, typically conducted via Fourier-based approaches. Learning algorithms and Bayesian methods have been proposed as novel alternatives for inference-based reconstructions. We study the applicability of Fourier-based and Bayesian methods for reconstructing two-dimensional current density maps from magnetic field images obtained from NV imaging. We discuss extensive numerical simulations to elucidate the performance of the reconstruction algorithms in various parameter regimes, and further validate our analysis via performing reconstructions on experimental data. Finally, we examine parameter regimes that favor specific reconstruction algorithms and provide an empirical approach for selecting regularization in Bayesian methods. © 2024, CC BY.

关键词： Inverse problems

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Coherent Detection of the Oscillating Acoustoelectric Effect in Graphene

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Physical Review Letters 2025年第9期134卷 096301-096301页

作者： Yicheng Mou Jiayu Wang Haonan Chen Yingchao Xia Hailong Li Qing Yan Xue Jiang Yijia Wu Wu Shi State Key Laboratory of Surface Physics and Institute for Nanoelectronic Devices and Quantum Computing Fudan University Shanghai 200433 China International Center for Quantum Materials School of Physics Peking University Beijing 100871 China Interdisciplinary Center for Theoretical Physics and Information Sciences (ICTPIS) Fudan University Shanghai 200433 China Department of Biomedical Engineering School of Information Science and Technology Fudan University Shanghai 200433 China Zhangjiang Fudan International Innovation Center Fudan University Shanghai 201210 China

In recent years, surface acoustic waves (SAWs) have emerged as a novel technique for generating quasiparticle transport and band modulation in condensed matter systems. SAWs interact with adjacent materials through piezoelectric and strain fields, dragging carriers in the direction of wave propagation. Most studies on the acoustoelectric effect have focused on the collective directional motion of carriers, which generates a steady electric potential difference, while the oscillating component from dynamic spatial charge modulation has remained challenging to probe. In this Letter, we report the coherent detection of the oscillating acoustoelectric effect in graphene. This is achieved through the coherent rectification of spatial-temporal charge oscillation with electromagnetic waves emitted by interdigital transducers. We systematically investigate the frequency and gate dependence of rectified signals and quantitatively probe the carrier redistribution dynamics driven by SAWs. The observation of the oscillating acoustoelectric effect provides direct access to the dynamic spatial charge modulation induced by SAWs through transport experiments.

关键词： Acoustoelectric effects

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Multipartite entanglement distribution in Bell-pair networks without Steiner trees and with reduced gate cost

arXiv

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arXiv 2024年

作者： Chelluri, S. Siddardha Khatri, Sumeet van Loock, Peter Institute of Physics Johannes-Gutenberg University of Mainz Staudingerweg 7 Mainz55128 Germany Dahlem Center for Complex Quantum Systems Freie Universität Berlin Berlin14195 Germany Department of Computer Science Virginia Tech BlacksburgVA24061 United States Virginia Tech Center for Quantum Information Science and Engineering BlacksburgVA24061 United States

Multipartite entangled states, particularly Greenberger–Horne–Zeilinger (GHZ) and other graph states, are important resources in multiparty quantum network protocols and measurement-based quantum computing. We consider the problem of generating such states from networks of bipartite entangled (Bell) pairs. Although an optimal protocol (in terms of time steps and consumed Bell pairs) for generating GHZ states in Bell-pair networks has been identified in [Phys. Rev. A 100, 052333 (2019)], it makes use of at most O(N2) gates, where N is the number of nodes in the network. It also involves solving the NP-hard Steiner tree problem as an initial step. Reducing the gate cost is an important consideration now and into the future, because both qubits and gate operations are noisy. To this end, we present a protocol for producing GHZ states in arbitrary Bell-pair networks that provably requires only O(N) gates, and we present numerical evidence that our protocol indeed reduces the gate cost on real-world network models, compared to prior work. Notably, the gate cost of our protocol depends only on the number of nodes and is independent of the topology of the network. At the same time, our protocol maintains nearly the optimal number of consumed Bell pairs, and it avoids finding a Steiner tree or solving any other computationally hard problem by running in polynomial time with respect to N. By considering the number of gates as a figure of merit, our work approaches entanglement distribution from the perspective that, in practice, unlike the traditional information-theoretic setting, local operations and classical communications are not free. Copyright © 2024, The Authors. All rights reserved.

关键词： quantum entanglement

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Free-space Continuous-variable quantum Secret Sharing

arXiv

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arXiv 2025年

作者： Yang, Fangli Chang, Liang Qiu, Daowen Pan, Minghua Xiong, Wanjun Guangxi Key Laboratory of Trusted Software Guilin University of Electronic Technology Guilin541004 China Institute of Quantum Computing and Software School of Computer Science and Engineering Sun Yat-sen University Guangzhou510006 China Guangxi Key Laboratory of Cryptography and Information Security Guilin University of Electronic Technology Guilin541004 China

Free-space quantum cryptography has the potential to enable global quantum communication. However, most existing continuous-variable quantum secret sharing (CV-QSS) schemes rely on fiber channels. In this paper, we present a CV-QSS protocol designed for free-space transmission and construct models of crucial parameters, including channel transmittance, excess noise, and interruption probability, thus deriving the bound of the secret key rate. In particular, we provide a multi-source excess noise model for free-space CV-QSS based on the local local oscillator (LLO) scheme and a straightforward optimization of the noise. Furthermore, our research considers the impact of atmospheric turbulence on the protocol. Simulation results demonstrate that the intensification of atmospheric turbulence adversely affects the aforementioned crucial parameters, leading to a significant reduction in the key rate. However, our protocol shows its capability to securely share secrets over a distance of exceeding 60 km among five participants in the presence of turbulence with Cn2 = 1 × 10−15m−2/3, while maintaining a high key rate of approximately 0.55 bit/pulse over a distance of 10 km across twenty participants. These findings suggest that efficient CV-QSS in free space is indeed achievable. This research may serve as a reference for the design and optimization of the practical CV-QSS system. Copyright © 2025, The Authors. All rights reserved.

关键词： Atmospheric turbulence

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Decentralized Framework for Collection and Secure Storage of Google Street View Data: Case Study

Decentralized Framework for Collection and Secure Storage of...

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Emerging Technologies (GlobConET), IEEE IAS Global Conference on

作者： Sanjaya Mallikarachchi Bonnie Ho Iyad Kanj Oshani Seneviratne Isuru S. Godage Jarvis College of Computing & Digital Media School of Computing DePaul University Chicago IL USA Department of Computer Science Rensselaer Polytechnic Institute Troy NY USA Department of Engineering Technology & Industrial Distribution Texas A&M University College Station TX USA

Image data plays a pivotal role in the current data-driven era, particularly in applications such as computer vision, object recognition, and facial identification. Google Maps ® stands out as a widely used platform that heavily relies on street view images. To fulfill the pressing need for an effective and distributed mechanism for image data collection, we present a framework that utilizes smart contract technology and open-source robots to gather street-view image sequences. The proposed framework also includes a protocol for maintaining these sequences using a private blockchain capable of retaining different versions of street views while ensuring the integrity of collected data. With this framework, Google Maps ® data can be securely collected, stored, and published on a private blockchain. By conducting tests with actual robots, we demonstrate the feasibility of the framework and its capability to seamlessly upload privately maintained blockchain image sequences to Google Maps ® using the Google Street View ® Publish API.

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