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quantum computer

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• QuanDT: Quantum Digital Twin with Applications to Smart Grid
  2026 · 数字孪生 · Abstract Digital twins (DTs) offer high-fidelity digital mappings of physical systems, enabling real-time monitoring, control, and operation across various domains. In future smart grids, the establishment of DTs faces e…
• Quantum coherence in neuromorphic computing.
  2026 · 类脑计算 · Quantum effects become significant when hardware computing units scale down to nanoscale dimensions. To maintain reliable performance as neuromorphic computing hardware scales down, researchers must understand how quantu…
• Experimentally Validated Quantum-Secure Federated Learning over a Multi-user Quantum Network.
  2026 · 隐私计算与数据要素 · Federated learning enables decentralized, privacy-preserving training but remains vulnerable to privacy leakage in the quantum era. Quantum federated learning (QFL) offers a promising path toward enhanced security and ef…
• Federated Quantum Machine Learning over Satellite Networks: Toward Scalable Distributed Quantum Classification.
  2026 · 隐私计算与数据要素 · Federated learning enables multiple organizations to collaboratively analyze data while retaining local control over their datasets, making it attractive for applications such as healthcare. Distributed quantum computing…
• A quantum-driven multi-stage framework integrating variational entanglement, reinforcement learning, and federated explainability for climate-resilient farming.
  2025 · 智慧农业 · The increasing constraints of climate change and data privacy necessitate high-efficiency, sustainable agriculture, which is causing a shift in the paradigm of Agro-informatics. Most classical agricultural models fail to…
• Quantum computing and the implementation of precision medicine.
  2025 · 生物计算 · Precision medicine aims to tailor healthcare by integrating individual genetic, epigenetic, transcriptomic, proteomic, and clinical data, collectively referred to as multi-omic data. However, the scale and complexity of …
• Quantum Optimization for Machine Learning
  2026 · 医疗人工智能 · The convergence of machine learning (ML) and quantum computing is quickly becoming a game-changing new frontier in computational science. The most intriguing area of overlap may be quantum optimization, which seeks to re…
• Machine Learning and Quantum Machine Learning: A Comprehensive Review of Algorithms, Applications, and Future Directions
  2026 · 边缘智能 · The rapid advancement of artificial intelligence has positioned Machine Learning (ML) as a cornerstone technology across scientific and industrial domains. In parallel, the emergence of quantum computing has catalyzed a …
• A brief review of quantum machine learning techniques for financial services
  2026 · 边缘智能 · Abstract This review paper examines state-of-the-art algorithms and techniques in quantum machine learning (QML) with potential applications in finance. We discuss QML techniques in supervised learning tasks, such as qua…
• Integrating Quantum Computing and Machine Learning in 6G Networks
  2026 · 边缘智能 · The sixth-generation (6G) wireless networks are anticipated to have a transformative impact on communication methods, facilitating high-speed data transfer rates, extensive connectivity, and applications with minimal lat…
• A Systematic Introduction to Quantum Computing and Quantum Machine Learning for IoT Applications
  2026 · 边缘智能 · This chapter provides a beginner-friendly introduction to quantum machine learning (QML). We begin by exploring basic principles of quantum computing and its practical implementation using quantum circuits. We also look …
• Quantum Machine Learning: Bridging Quantum Computing & Machine Learning
  2026 · 边缘智能 · Quantum Machine Learning (QML) is an emerging interdisciplinary field at the intersection of quantum computing and machine learning, delivering new era for advancing learning beyond the limitations of conventional comput…
• Noise-Robust conceptors for physical reservoir computing: adaptation to perturbations
  2026 · 类脑计算 · Abstract Conceptors are a powerful extension of reservoir computing (RC) that enable the selective recall and stabilization of internal dynamics. However, their application to physical RC remains challenging because meas…
• Quantum Machine Intelligence
  2026 · 类脑计算 · Quantum computing has turned out to be a paradigm shift that can address computational problems that are way out of the scope of classical systems. The current hybrid designs tend to view quantum and classical components…
• Automated AFGL Quantum Number Assignment for CO2 Isotopologues using a Graph Neural Network
  2026 · 类脑计算 · Accurate quantum number assignment for calculated molecular energy levels is a critical bottleneck in generating line broadening parameters for comprehensive line lists for radiative transfer applications. We present an …
• Secure Multi-Party Computation Based on Blind Quantum Computing
  2026 · 隐私计算与数据要素 · Abstract Blind Quantum Computing (BQC) is a protocol proposed in recent years to tackle the practical need where users want to perform quantum computing tasks but lack the necessary capabilities, and thus delegate the wo…
• Shaping the future of cybersecurity: The convergence of AI, quantum computing, and ethical frameworks for a secure digital era
  2025 · AI 安全与对齐 · The increasing sophistication and frequency of cyber threats have rendered conventional protection strategies inadequate. Artificial Intelligence (AI) is becoming central to modern cybersecurity, strengthening capabiliti…
• Potential of Quantum Machine Learning for Processing Multispectral Earth Observation Data
  2025 · AI 驱动科学发现 · Quantum computers with hundreds of noisy qubits are already available for the research community. They have the potential to run complex quantum computations well beyond the computational capacity of any classical device…
• Applications of quantum computing in clinical care
  2025 · 生物计算 · Introduction: This review examines quantum computing (QC) applications in clinical care, emphasizing advancements directly impacting patient outcomes. QC holds transformative potential in medicine, particularly through e…
• Quantum computing revolution in healthcare: a systematic review of applications, issues and future directions
  2025 · 生物计算 · Conventional treatment methods make even the most basic healthcare issues more complicated, which in turn increases the number of parties involved. Classical computing lacks the speed and accuracy needed for effective st…
• Evolutionary Algorithms and Quantum Computing: Recent Advances, Opportunities, and Challenges
  2025 · 生物计算 · Quantum computers have made significant progress in the last two decades showing great potential in tackling some of the most challenging problems in computing. This ongoing progress creates an opportunity to implement a…
• Assessing the potential of quantum computing in agriculture
  2025 · 生物计算 · With increasing computational demands in agriculture and life sciences, quantum computing is emerging as a potential alternative to classical computing. Unlike classical computers, which utilize binary bits, quantum comp…
• QUANTUM MACHINE LEARNING OVERVIEW
  2025 · 医疗人工智能 · Quantum Machine Learning (QML) represents an emerging interdisciplinary field that harnesses quantum computing principles to enhance machine learning algorithms and develop quantum-native learning paradigms. This converg…
• A Superconducting Flux-Quanta Memory Device for Cryogenic Neuromorphic and Probabilistic Computing
  2025 · 类脑计算 · Abstract As quantum computing progresses toward large-scale implementation, there is a growing demand for cryo-compatible artificial intelligence hardware and computing paradigms that accelerate the quantum control and e…
• Architecture independent absolute solvation free energy calculations with neural network potentials
  2025 · 类脑计算 · Allowing atoms or molecules to disappear is a critical step in alchemical free energy simulations (FES). The necessary tricks are well understood when using force fields. Over the past few years, neural network potential…
• A New Quantum Private Protocol for Set Intersection Cardinality Based on a Quantum Homomorphic Encryption Scheme for Toffoli Gate.
  2023 · 隐私计算与数据要素 · Set Intersection Cardinality (SI-CA) computes the intersection cardinality of two parties' sets, which has many important and practical applications such as data mining and data analysis. However, in the face of big data…
• Networking 3 K Logic Gate Quantum Processors to Approach 1 Billion Logic Gate Performance
  2024 · 生物计算 · Outlined is a proposal designed to culminate in the foundry fabrication of arrays of singly addressable quantum dot sources deterministically emitting single pairs of energy-time entangled photons at C-band wavelengths; …
• Networking 3 K Two-Qubit Logic Gate Quantum Processors to Approach 1 Billion Logic Gate Performance
  2024 · 生物计算 · Outlined is a proposal designed to culminate in the foundry fabrication of arrays of singly addressable quantum dot sources deterministically emitting single pairs of energy-time entangled photons at C-band wavelengths, …
• A hybrid quantum computing pipeline for real world drug discovery
  2024 · 生物计算 · Quantum computing, with its superior computational capabilities compared to classical approaches, holds the potential to revolutionize numerous scientific domains, including pharmaceuticals. However, the application of q…
• Revolutionizing Healthcare: The Emerging Role of Quantum Computing in Enhancing Medical Technology and Treatment
  2024 · 生物计算 · The healthcare sector faces complex challenges that call for innovative solutions to improve diagnostic accuracy, treatment efficacy, and data management. Quantum computing, with its unique capabilities, holds the potent…
• A primer for quantum computing and its applications to healthcare and biomedical research
  2024 · 生物计算 · OBJECTIVES: To introduce quantum computing technologies as a tool for biomedical research and highlight future applications within healthcare, focusing on its capabilities, benefits, and limitations. TARGET AUDIENCE: Inv…
• Thermodynamic computing via autonomous quantum thermal machines
  2024 · 生物计算 · We develop a physics-based model for classical computation based on autonomous quantum thermal machines. These machines consist of few interacting quantum bits (qubits) connected to several environments at different temp…
• Quantum algorithms for scientific computing
  2024 · 生物计算 · Quantum computing promises to provide the next step up in computational power for diverse application areas. In this review, we examine the science behind the quantum hype, and the breakthroughs required to achieve true …
• Quantum computing: current and potential applications in digital agriculture
  2024 · 生物计算 · Abstract Quantum computers use the properties of quantum physics to perform information storage and processing operations. The operation of these computers involves concepts such as entanglement and superposition, which …
• Quantum-centric high performance computing for quantum chemistry
  2024 · 生物计算 · High performance computing (HPC) is renowned for its capacity to tackle complex problems. Meanwhile, quantum computing (QC) provides a potential way to accurately and efficiently solve quantum chemistry problems. The eme…
• Quantum Machine Learning Approaches
  2024 · 医疗人工智能 · The rise of machine learning algorithms in multidisciplinary areas is inevitable. Quantum computers are a significant recent area of development where complex algorithms can be efficiently executed for better performance…
• Comparison of Quantum Machine Learning Tools
  2024 · 边缘智能 · In a rapidly evolving world where quantum computing promises unprecedented power, quantum machine learning (QML) emerges as a transformative domain. This paper navigates this intersection, comparing key QML frameworks or…
• Self-adaptive physics-informed quantum machine learning for solving differential equations
  2024 · 边缘智能 · Abstract Chebyshev polynomials have shown significant promise as an efficient tool for both classical and quantum neural networks to solve linear and nonlinear differential equations (DEs). In this work, we adapt and gen…
• High Accuracy and Low Latency Mixed Precision Neural Network Acceleration for TinyML Applications on Resource-Constrained FPGAs
  2024 · 边缘智能 · Recent advancements in mixed precision quantization algorithms hold significant promise for Tiny Machine Learning (TinyML) applications that face tight resource constraints. However, to leverage the benefits of mixed pre…
• Quantum-Inspired Cryptography Protocols for Enhancing Security in Cloud Computing Infrastructures
  2024 · 类脑计算 · As we know, cloud computing plays a vital role in our lives. It also plays a pivotal role in modern business and information technology landscapes. But with this, there is a rise in concerns regarding the security and pr…
• Quantum-Inspired Algorithms for AI and Machine Learning
  2024 · 类脑计算 · Quantum-inspired algorithms help handle complex optimization and inference challenges in AI and ML. Quantum-like algorithms based on quantum mechanics address challenges classical computer paradigms can't. These algorith…
• VM Placement in Cloud Computing Using Nature-Inspired Optimization Algorithms
  2024 · 类脑计算 · Cloud computing implements various techniques for the efficient utilization of computing resources. These resources are delivered over the internet, allowing users to access and manage them remotely. Often, these resourc…
• Quantum computing on nucleic acid research: Approaching towards next-generation computing
  2023 · 生物计算 · Recently, IBM announced a new quantum computer with a 400-plus qubit processor, which helps the realm of quantum computing to attain the next step. The newly developed IBM computer with a 433 qubit processor is called “O…
• Leveraging quantum computing for dynamic analyses of logical networks in systems biology
  2023 · 生物计算 · The dynamics of cellular mechanisms can be investigated through the analysis of networks. One of the simplest but most popular modeling strategies involves logic-based models. However, these models still face exponential…
• Exploring the Intersection of Brain–Computer Interfaces and Quantum Sensing: A Review of Research Progress and Future Trends
  2023 · 仿生智能 · Abstract Brain–computer interfaces (BCIs) can revolutionize how humans interact with technology, but several scientific and technological challenges must be addressed to realize their full potential. Recent developments …
• Advanced Impacts of Nanotechnology and Intelligence
  2023 · 仿生智能 · Fundamental contributions of nanotechnology include but are not limited to miniaturization, energy efficiency, higher efficiency and/or effectiveness. The exploration of new computing paradigms such as bioinspired comput…
• A Survey of Quantum-cognitively Inspired Sentiment Analysis Models
  2023 · 类脑计算 · Quantum theory, originally proposed as a physical theory to describe the motions of microscopic particles, has been applied to various non-physics domains involving human cognition and decision-making that are inherently…
• Gossiping for Communication-Efficient Broadcast
  2023 · 隐私计算与数据要素 · Byzantine Broadcast is crucial for many cryptographic pro- tocols such as secret sharing, multiparty computation and blockchain consensus. In this paper we apply gossiping (propagating a message by sending to a few rando…
• Gossiping for Communication-Efficient Broadcast
  2023 · 隐私计算与数据要素 · Byzantine Broadcast is crucial for many cryptographic pro- tocols such as secret sharing, multiparty computation and blockchain consensus. In this paper we apply gossiping (propagating a message by sending to a few rando…
• Efficient UC Commitment Extension with Homomorphism for Free (and Applications)
  2023 · 隐私计算与数据要素 · Homomorphic universally composable (UC) commitments allow for the sender to reveal the result of additions and multiplications of values contained in commitments without revealing the values themselves while assuring the…
• Efficient UC Commitment Extension with Homomorphism for Free (and Applications)
  2023 · 隐私计算与数据要素 · Homomorphic universally composable (UC) commitments allow for the sender to reveal the result of additions and multiplications of values contained in commitments without revealing the values themselves while assuring the…
• General quantum secure multiparty computation protocol for simultaneous summation and multiplication
  2023 · 隐私计算与数据要素 · Abstract Quantum secure multiparty computation occupies an important place in quantum cryptography. Based on access structure and linear secret sharing, we propose a new general quantum secure multiparty computation prot…
• A-QAOA: Improved Convergence via Adaptive Parameter Scheduling in Precision Agriculture
  2026 · 智慧农业 · Abstract Optimization of precision agriculture, a combinatorial optimization problem that has both dependent and independent binary variables associated with selecting the one-to-one mapping of crop planting, irrigation,…
• Motional Narrowing Rescues Entanglement in Biological Radical-Pair Systems: Quantum Error Correction and Reservoir Computing Beyond the Breaking Threshold
  2026 · 生物计算 · Abstract Biological radical-pair systems operate at decoherence rates γeff = 3.25–4.55, far exceeding the entanglement-breaking threshold γc ≈ 0.3 (channel-model-dependent). Standard quantum error correction provably fai…
• QRNG-DD: software data diode for quantum random number distribution with AI agent integration
  2026 · AI Agent 生态 · QRNG-DD is an open-source research infrastructure for securely distributing quantum random numbers across network boundaries. The system implements a software-based data diode architecture that allows researchers to acce…
• Quantum Synergy: Leveraging AI-Enabled Multi-Agent Systems for Streamlined Quantum Algorithm Innovation
  2026 · AI Agent 生态 · Scientists require better and optimized quantum algorithms due to the rapid evolution of quantum computing. Creating quantum algorithms is not easy, and it’s a key issue. This study offers a fresh AI platform that automa…
• A Charge-Consistent Long-Range Machine-Learned Interatomic Potential Compatible with Quantum Linear System Algorithms
  2026 · AI 驱动科学发现 · Charge equilibration in machine-learning interatomic potentials (MLIPs) can be formulated as a linear-system problem, making it a promising target for quantum linear-system algorithms (QLSAs). Accurate charge equilibrati…
• Quantum Information in Protein Structure Prediction: A Geometric Modeling Framework
  2026 · AI 驱动科学发现 · Quantum Information is rapidly emerging as a transformative technology with the potential to revolutionize various fields, including chemistry and biology. Protein structure prediction, a cornerstone of biological resear…
• Quantum Information in Protein Structure Prediction: A Geometric Modeling Framework
  2026 · AI 驱动科学发现 · Quantum Information is rapidly emerging as a transformative technology with the potential to revolutionize various fields, including chemistry and biology. Protein structure prediction, a cornerstone of biological resear…
• Title: Bio-Information Quantum Algorithm
  2026 · AI 驱动科学发现 · This paper explores the potential of quantum algorithms to revolutionize bioinformatics, particularly in genomic analysis, protein structure prediction, and drug discovery. The core concept centers on leveraging the inhe…

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