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代表性文献（按质量分排序，前 60 条）

• Leveraging the Potential of Machine-Learning Interatomic Potentials for QM/MM Simulations.
  2026 · AI 驱动科学发现 · Machine-learning interatomic potentials (MLIPs) are increasingly used to replace computationally expensive quantum-mechanical (QM) calculations to obtain the energies and forces in ab initio or multiscale molecular dynam…
• Fast evaluation of unbiased atomic forces in ab initio variational Monte Carlo via the Lagrangian technique.
  2026 · AI 驱动科学发现 · Ab initio quantum Monte Carlo (QMC) methods are state-of-the-art electronic structure calculations based on highly parallelizable stochastic frameworks for accurate solutions of the many-body Schrödinger equation, s…
• 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…
• Physical embodiment enables information processing beyond explicit flow sensing in active matter.
  2026 · 具身智能 · Living microorganisms have evolved dedicated sensory machinery to detect environmental perturbations, processing these signals through biochemical networks to guide behavior. Replicating such capabilities in synthetic ac…
• 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…
• 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…
• Self-Consistency Error Correction for Accurate Machine Learning Potentials from Variational Monte Carlo.
  2025 · AI 驱动科学发现 · Variational Monte Carlo (VMC) can be used to train accurate machine learning interatomic potentials (MLIPs), enabling molecular dynamics (MD) simulations of complex materials on time scales and system sizes previously un…
• 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 …
• Evaluation of fluxon synapse device based on superconducting loops for energy efficient neuromorphic computing
  2025 · 类脑计算 · With Moore’s law nearing its end due to the physical scaling limitations of CMOS technology, alternative computing approaches have gained considerable attention as ways to improve computing performance. Here, we evaluate…
• Concise representations and complexity results for welfare-maximizing combinatorial assignment
  2026 · AI Agent 生态 · Abstract We revisit the computational problem of partitioning indivisibles into bundles among alternatives to maximize value (e.g., welfare). These problems have broad applications, yet many important variants are comput…
• Wireless sensor networks for precise Phytophthora decision support
  2026 · 智慧农业 · Precision Agriculture provides the optimal treatment for each production unit that can be distinguished and which can be individually treated in an efficient way. This agricultural practise is based on detailed informati…
• Quantum Computing for Precision Agriculture in Challenging Environments: A Case Study from Northern Morocco
  2026 · 智慧农业 · Abstract. The legalization of medical cannabis in Morocco’s northern Rif region requires precision agriculture systems capable of supporting highly controlled, traceable and quality-driven cultivation. Medical cannabis i…
• 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…
• Principle and method of faster-than-light quantum communication
  2026 · 深海科技 · Aiming at the challenge of possibility and feasibility of the faster-than-light quantum communication, the principle is based on the microscopic mass-energy systems correlating with spacetime model and the mass-energy sp…
• Principle and method of faster-than-light quantum communication
  2026 · 深海科技 · Aiming at the challenge of possibility and feasibility of the faster-than-light quantum communication, the principle is based on the microscopic mass-energy systems correlating with spacetime model and the mass-energy sp…
• Machine learning nonequilibrium phase transitions in charge-density wave insulators
  2026 · 边缘智能 · Abstract Nonequilibrium electronic forces play a central role in voltage-driven phase transitions but are notoriously expensive to evaluate in dynamical simulations. Here we develop a machine-learning (ML) framework for …
• 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…
• 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…
• Locally Robust Alignment Between Distinct Spaces
  2025 · AI 安全与对齐 · ABSTRACT The Gromov‐Wasserstein (GW) distance serves as a measure of discrepancy between two distributions that are supported on distinct ambient spaces. Emerging as the optimal expected departure from isometry, it keeps…
• 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…
• 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…
• Understanding carbon quantum dots through computational methods in quantum chemistry
  2025 · 碳中和与 CCUS · Carbon quantum dots (CQDs) have emerged as versatile nanomaterials with unique optical, electronic, and thermal properties driven by their quantum confinement and surface characteristics. This review critically examines …
• Experimental demonstration of a diamond quantum vector magnetometer for deep-sea applications
  2025 · 深海科技 · Magnetometry plays an important role in exploring the deep sea, which is one of the Earth's final unknown frontiers. However, the complexity of the marine environment and the limitations of conventional magnetometers res…
• Multi-agent pathfinding on strongly connected digraphs: Feasibility and solution algorithms
  2025 · 边缘智能 · On an assigned graph, the problem of Multi-Agent Pathfinding (MAPF) consists in finding paths for multiple agents, avoiding collisions. Finding the minimum-length solution is known to be NP-hard, and computation times gr…
• 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…
• Transfer learning for accurate description of atomic transport in Al-Cu melts.
  2024 · AI 驱动科学发现 · Machine learning interatomic potentials (MLIPs) provide an optimal balance between accuracy and computational efficiency and allow studying problems that are hardly solvable by traditional methods. For metallic alloys, M…
• Truthful interval covering
  2024 · AI Agent 生态 · Abstract We initiate the study of a novel problem in mechanism design without money, which we term Truthful Interval Covering (TIC). An instance of TIC consists of a set of agents each associated with an individual inter…
• Optimal treatment placement for on-farm experiments: pseudo-Bayesian optimal designs with a linear response plateau model
  2024 · 智慧农业 · On-farm experiments are increasingly being used as their costs have decreased with technological advances in collecting, storing, and processing geospatial data. A question that has not been well addressed is what spatia…
• 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…
• 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…
• Quantum phenomena in biological systems
  2024 · 生物计算 · Quantum biology is a modern field of research that aims to understand how quantum effects can affect the chemistry underlying various biological processes. This paper reviews several examples of biological processes wher…
• 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 …
• A physical derivation of high-flux ion transport in biological channel via quantum ion coherence
  2024 · 生物计算 · Biological ion channels usually conduct the high-flux transport of 107 ~ 108 ions·s−1; however, the underlying mechanism is still lacking. Here, by applying the KcsA potassium channel as a typical example, and performing…
• 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…
• Science, technology, engineering, and mathematics undergraduates’ knowledge and interest in quantum careers: Barriers and opportunities to building a diverse quantum workforce
  2024 · 生命科学 · Efforts to build the workforce in support of the second quantum revolution are growing, including the creation of education programs that will prepare students for jobs in this area. We surveyed 186 undergraduate student…
• Self-organizing neuromorphic nanowire networks are stochastic dynamical systems
  2024 · 类脑计算 · Abstract Neuromorphic computing aims to develop software and hardware platforms emulating the information processing effectiveness of our brain. In this context, self-organizing neuromorphic nanonetworks have been demons…
• GPS-based auto-guidance test program development
  2023 · 智慧农业 · Auto-guidance based on Global Positioning System (GPS) navigation is a rapidly expanding technology in modern agriculture. Because of many discrepancies in testing methods, there is a need to establish a standardized tes…
• A general-purpose machine learning Pt interatomic potential for an accurate description of bulk, surfaces, and nanoparticles
  2023 · AI 驱动科学发现 · A Gaussian approximation machine learning interatomic potential for platinum is presented. It has been trained on density-functional theory (DFT) data computed for bulk, surfaces, and nanostructured platinum, in particul…
• 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…
• Anti-Windup Protection Circuits for Biomolecular Integral Controllers
  2023 · 生物计算 · Abstract Robust Perfect Adaptation (RPA) is a desired property of biological systems wherein a system’s output perfectly adapts to a steady state, irrespective of a broad class of perturbations. Achieving RPA typically r…
• 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…
• Technology roadmap for cold-atoms based quantum inertial sensor in space
  2023 · 深海科技 · Recent developments in quantum technology have resulted in a new generation of sensors for measuring inertial quantities, such as acceleration and rotation. These sensors can exhibit unprecedented sensitivity and accurac…
• 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,…
• A nuclear-quantum-corrected machine-learning potential reveals quantum-enhanced hydrogen segregation at general grain boundaries in α-iron
  2026 · AI 驱动科学发现 · Abstract Atomistic descriptions of hydrogen diffusion and trapping at defects are essential for understanding hydrogen embrittlement. As the lightest solute in metals, hydrogen exhibits nuclear quantum effects that alter…
• 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…
• Editorial: Quantum and quantum-like effects across neuroscience.
  2026 · 脑科学 · Editorial: Quantum and quantum-like effects across neuroscience, volume 1.For about thirty years now a growing literature has applied quantum probability theory to successfully describe a wide range of statistical questi…
• 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…

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