Showing 161 - 180 results of 243 for search '"Quantum computing"', query time: 0.05s Refine Results
  1. 161

    Advanced Shuttle Strategies for Parallel QCCD Architectures by Weining Dai, Kevin A. Brown, Thomas G. Robertazzi

    Published 2024-01-01
    “…Trapped ions (TIs) are at the forefront of quantum computing implementation, offering unparalleled coherence, fidelity, and connectivity. …”
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  2. 162

    Reliable Quantum Communications Based on Asymmetry in Distillation and Coding by Lorenzo Valentini, Rene Bodker Christensen, Petar Popovski, Marco Chiani

    Published 2024-01-01
    “…The reliable provision of entangled qubits is an essential precondition in a variety of schemes for distributed quantum computing. This is challenged by multiple nuisances, such as errors during the transmission over quantum links, but also due to degradation of the entanglement over time due to decoherence. …”
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  3. 163

    BeSnake: A Routing Algorithm for Scalable Spin-Qubit Architectures by Nikiforos Paraskevopoulos, Carmen G. Almudever, Sebastian Feld

    Published 2024-01-01
    “…As quantum computing devices increase in size with respect to the number of qubits, two-qubit interactions become more challenging, necessitating innovative and scalable qubit routing solutions. …”
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  4. 164

    Quantum-Inspired Data Embedding for Unlabeled Data in Sparse Environments: A Theoretical Framework for Improved Semi-Supervised Learning without Hardware Dependence by Shawn Ray

    Published 2024-12-01
    “…This research marks a significant stride in integrating quantum theoretical principles with classical machine learning, broadening the scope of data representation and semi-supervised learning while circumventing the technological barriers of quantum computing infrastructure.…”
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  5. 165

    Triplet-ground-state nonalternant nanographene with high stability and long spin lifetimes by Weixiang Zhou, Yiyang Fei, Yu-Shuang Zhang, Xiaohe Miao, Shang-Da Jiang, Junzhi Liu

    Published 2025-01-01
    “…Moreover, considering the spin relaxation of compound 1, with a spin–lattice relaxation time (T 1) of 53.55 ms and a coherence time (T m) of 3.41 μs at 10 K, the compound 1 shows great promise for applications in spin-based information retention and quantum computing.…”
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  6. 166

    Quantum-Inspired Multi-Scale Object Detection in UAV Imagery: Advancing Ultra-Small Object Accuracy and Efficiency for Real-Time Applications by Muhammad Muzammul, Muhammad Assam, Ayman Qahmash

    Published 2025-01-01
    “…It also establishes a foundation for future advancements, including scalability to diverse datasets, integration with edge computing platforms, and the exploration of quantum computing techniques. These contributions pave the way for enhanced capabilities in computer vision and autonomous aerial systems.…”
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  7. 167

    Leveraging Quantum LSTM for High-Accuracy Prediction of Viral Mutations by Prashanth Choppara, Bommareddy Lokesh

    Published 2025-01-01
    “…The QLSTM model leverages quantum computing techniques, including superposition and entanglement, to improve the model’s ability to handle the high-dimensional, nonlinear structure inherent in viral genomic datasets. …”
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  8. 168

    RSFQ All-Digital Programmable Multitone Generator for Quantum Applications by Joao Barbosa, Jack C. Brennan, Alessandro Casaburi, M. D. Hutchings, Alex Kirichenko, Oleg Mukhanov, Martin Weides

    Published 2025-01-01
    “…Rapid single flux quantum (RSFQ) technology is at the forefront of replacing current standard CMOS-based control architectures for a number of applications, including quantum computing and quantum sensor arrays. By condensing the control and readout to single-flux-quantum-based on-chip devices that are directly connected to the quantum systems, it is possible to minimize the total system overhead, improving scalability and integration. …”
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  9. 169

    Enhancing Deepfake Detection Through Quantum Transfer Learning and Class-Attention Vision Transformer Architecture by Bekir Eray Katı, Ecir Uğur Küçüksille, Güncel Sarıman

    Published 2025-01-01
    “…The advantages of quantum computing offered by QTL were merged with the global feature extraction capabilities of the CaiT. …”
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  10. 170

    Optimizing the Electrical Interface for Large-Scale Color-Center Quantum Processors by Luc Enthoven, Masoud Babaie, Fabio Sebastiano

    Published 2024-01-01
    “…Quantum processors based on color centers in diamond are promising candidates for future large-scale quantum computers thanks to their flexible optical interface, (relatively) high operating temperature, and high-fidelity operation. …”
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  11. 171

    Local Path Planning for Unmanned Surface Vehicle Collision Avoidance Based on Modified Quantum Particle Swarm Optimization by Guoqing Xia, Zhiwei Han, Bo Zhao, Xinwei Wang

    Published 2020-01-01
    “…In MQPSO, the efficiency of quantum encoding in quantum computing and the optimization ability of representing the motion states of the particles with wave functions to cover the whole feasible solution space are combined. …”
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  12. 172

    Post-quantum encryption technology based on BRLWE for internet of things by Yitian GAO, Liquan CHEN, Tianyang TU, Yuan GAO, Qianye CHEN

    Published 2022-10-01
    “…With the development of quantum computers, the classical public key encryption system is not capable enough to guarantee the communication security of internet of things (IoT).Because the mathematical puzzles which post-quantum encryption algorithms are based on cannot yet be broken by quantum computers, these new algorithms have good anti-quantum computing security.In particular, the lattice-based cryptography is expected to become the main technology of the next generation public key cryptosystem.However, post-quantum encryption algorithms have the disadvantages of large amount of computation and high storage space.The communication efficiency of IoT will be affected if post-quantum encryption algorithms are directly applied to the lightweight device under IoT environment.In order to better guarantee the communication security and improve the commutation efficiency of IoT, Sym-BRLWE (symmetrical binary RLWE) encryption scheme was proposed.Sym-BRLWE was improved from the existing post-quantum encryption scheme based on BRLWE (binary ringlearning with errors) problem.Specifically, Sym-BRLWE encryption algorithm met the efficiency requirements of IoT via improving the random number selection on the discrete uniform distribution and the calculation of the polynomial multiplication.Sym-BRLWE encryption algorithm achieved high efficiency and high security via adding encryption security precautions, then it is more suitable for IoT lightweight devices.From the security analysis, the proposed Sym-BRLWE encryption scheme had high security.It could theoretically resist lattice attacks, timing attacks, simple power analysis (SPA) and differential power analysis (DPA).From simulation experiments, which were carried out in a binary computing environment simulating an 8-bit micro-device, the proposed Sym-BRLWE encryption scheme has high efficiency and small key size in encryption and decryption.It could reduce the total encryption time by 30% to 40% when compared with other BRLWE-based encryption schemes with the parameter selection of the 140 bit quantum security level.…”
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  13. 173

    Entrepreneurial strategies for sustainable growth: a deep dive into cloud-native technology and its applications by T. A. Alka, Aswathy Sreenivasan, M. Suresh

    Published 2025-02-01
    “…The study identified that one of the main forces behind disruption is the quick development of new technologies including blockchain, 5G, IoT, quantum computing, and AI. Cloud-native technology supports innovative business models in entrepreneurship such as SaaS, serverless computing, managed Kubernetes, data analytics platforms, BaaS, and Edge Computing. …”
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  14. 174

    QuantumNet: An enhanced diabetic retinopathy detection model using classical deep learning-quantum transfer learning by Manish Bali, Ved Prakash Mishra, Anuradha Yenkikar, Diptee Chikmurge

    Published 2025-06-01
    “…While classical deep learning (DL) models like CNNs and ResNet's are widely used, they face resource and accuracy limitations. Quantum computing, leveraging quantum mechanics, offers revolutionary potential for faster problem-solving across fields like cryptography, optimization, and medicine. …”
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  15. 175
  16. 176

    Orientation-selective spin-polarized edge states in monolayer NiI2 by Yu Wang, Xinlei Zhao, Li Yao, Huiru Liu, Peng Cheng, Yiqi Zhang, Baojie Feng, Fengjie Ma, Jin Zhao, Jiatao Sun, Kehui Wu, Lan Chen

    Published 2024-12-01
    “…Abstract Spin-polarized edge states in two-dimensional materials hold promise for spintronics and quantum computing applications. Constructing stable edge states by tailoring two-dimensional semiconductor materials with bulk-boundary correspondence is a feasible approach. …”
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  17. 177
  18. 178

    Passive and active suppression of transduced noise in silicon spin qubits by Jaemin Park, Hyeongyu Jang, Hanseo Sohn, Jonginn Yun, Younguk Song, Byungwoo Kang, Lucas E. A. Stehouwer, Davide Degli Esposti, Giordano Scappucci, Dohun Kim

    Published 2025-01-01
    “…Abstract Addressing and mitigating decoherence sources plays an essential role in the development of a scalable quantum computing system, which requires low gate errors to be consistently maintained throughout the circuit execution. …”
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  19. 179

    Spin-bearing molecules as optically addressable platforms for quantum technologies by Kuppusamy Senthil Kumar, Hunger David, Ruben Mario, Goldner Philippe, Serrano Diana

    Published 2024-10-01
    “…We envision that optically addressable spin-carrying molecules could become a scalable building block of quantum hardware for applications in the fields of quantum sensing, quantum communication and quantum computing.…”
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  20. 180

    FASQuiC: Flexible Architecture for Scalable Spin Qubit Control by Mathieu Toubeix, Eric Guthmuller, Adrian Evans, Antoine Faurie, Tristan Meunier

    Published 2024-01-01
    “…As scaling becomes a key issue for large-scale quantum computing, hardware control systems will become increasingly costly in resources. …”
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