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quantum algorithm

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代表性文献（按质量分排序，前 60 条）

• High-Performance and Quantum Computing in Cancer Modeling: A Review and Hybrid HPC- Quantum Approach
  2025 · 量子计算 · Abstract High-performance computing (HPC) and quantum computing are increasingly being applied to accelerate the modeling of complex diseases such as cancer. This paper presents a detailed survey of the past five years o…
• Quantum computation of the electronic structure of some prototype solids.
  2025 · 量子计算 · Over the last decade, researchers have been working to improve a crucial aspect of quantum computing to predict Hamiltonian energy of solids. Quantum algorithms such as Variational Quantum Eigensolver (VQE) and Variation…
• Photonic variational quantum eigensolver for NISQ-compatible quantum technology.
  2025 · 量子计算 · Quantum computers have the potential to deliver speed-ups for solving certain important problems that are intractable for classical counterparts, making them a promising avenue for advancing modern computation. However, …
• 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 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…
• Quantum-Behaved Pigeon-Inspired Optimization Algorithm for Multi-UAV Mission Assignment
  2026 · 类脑计算 · In order to address the challenge of large-scale reconnaissance mission assignment, the K-means cluster algorithm is applied to divide the numerous targets into several clusters. Every cluster of targets is reconnoitred …
• BlindTranspiler
  2026 · 隐私计算与数据要素 · Blind quantum computation (BQC) allows a limited-capability client to perform complex quantum computation on a remote server without revealing input, output, or computation. This primitive solves a problem in cryptograph…
• BlindTranspiler
  2026 · 隐私计算与数据要素 · Blind quantum computation (BQC) allows a limited-capability client to perform complex quantum computation on a remote server without revealing input, output, or computation. This primitive solves a problem in cryptograph…
• 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…
• 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…
• Comparing quantum annealing and spiking neuromorphic computing for sampling binary sparse coding QUBO problems
  2025 · 类脑计算 · Abstract We consider the problem of computing a sparse binary representation of an image. Given an image and an overcomplete, non-orthonormal basis, we aim to find a sparse binary vector indicating the minimal set of bas…
• Efficient Quantum Cooling Algorithm for Fermionic Systems
  2025 · 量子计算 · We present a cooling algorithm for ground state preparation of fermionic Hamiltonians. Our algorithm makes use of the Hamiltonian simulation of the considered system coupled to an ancillary fridge, which is regularly res…
• A quantum algorithm for linear autonomous differential equations via Padé approximation
  2025 · 量子计算 · We propose a novel quantum algorithm for solving linear autonomous ordinary differential equations (ODEs) using the Padé approximation. For linear autonomous ODEs, the discretized solution can be represented by a product…
• Quantum-Enhanced Plant Breeding and Genetic Optimization
  2025 · 量子计算 · The conventional plant breeding has had some limitation in addressing the issues of global food security and challenges. Quantum computing proposes the way of improvement of genetic algorithm based optimization in plant …
• AI and quantum computing ethics- same but different? Towards a new sub-field of computing ethics
  2025 · 量子计算 · Abstract As quantum computing development advances closer toward achieving fault-tolerant error-corrected realisation, debates on applications, impacts, risks, and benefits of quantum computing are timely and due. While …
• 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…
• 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…
• Quantum Computing Quantum Monte Carlo
  2024 · 量子计算 · Abstract Quantum computing and quantum Monte Carlo (QMC) are respectively the state-of-the-art quantum and classical computing methods for understanding many-body quantum systems. Here, we propose a hybrid quantum-classi…
• Analyzing Prospects for Quantum Advantage in Topological Data Analysis
  2024 · 量子计算 · Lloyd [Nat. Commun. , 10138 (2016)] were first to demonstrate the promise of quantum algorithms for computing Betti numbers, a way to characterize topological features of data sets. Here, we propose, analyze, and optimiz…
• Fragment molecular orbital-based variational quantum eigensolver for quantum chemistry in the age of quantum computing
  2024 · 量子计算 · Quantum computers offer significant potential for complex system analysis, yet their application in large systems is hindered by limitations such as qubit availability and quantum hardware noise. While the variational qu…
• Semicoherent symmetric quantum processes: Theory and applications
  2024 · 量子计算 · Discovering pragmatic and efficient approaches to construct ε-approximations of quantum operators such as real (imaginary) time-evolution propagators in terms of the basic quantum operations (gates) is challenging. Prior…
• 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…
• Best practices for portfolio optimization by quantum computing, experimented on real quantum devices
  2023 · 量子计算 · Abstract In finance, portfolio optimization aims at finding optimal investments maximizing a trade-off between return and risks, given some constraints. Classical formulations of this quadratic optimization problem have …
• Review on Quantum Computing for Lattice Field Theory
  2023 · 量子计算 · In these proceedings, we review recent advances in applying quantum computing to lattice field theory. Quantum computing offers the prospect to simulate lattice field theories in parameter regimes that are largely inacce…
• Mapping quantum algorithms to multi-core quantum computing architectures
  2023 · 量子计算 · Current monolithic quantum computer architectures have limited scalability. One promising approach for scaling them up is to use a modular or multi-core architecture, in which different quantum processors (cores) are con…
• Quantum Algorithms: A Survey of Applications and End-to-end Complexities
  2023 · 量子计算 · The anticipated applications of quantum computers span across science and industry, ranging from quantum chemistry and many-body physics to optimization, finance, and machine learning. Proposed quantum solutions in these…
• Fermionic quantum processing with programmable neutral atom arrays
  2023 · 量子计算 · Simulating the properties of many-body fermionic systems is an outstanding computational challenge relevant to material science, quantum chemistry, and particle physics.-5.4pc]Please note that the spelling of the followi…
• Quantum Computing with Differentiable Quantum Transforms
  2023 · 量子计算 · We present a framework for differentiable quantum transforms. Such transforms are metaprograms capable of manipulating quantum programs in a way that preserves their differentiability. We highlight their potential with a…
• 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,…
• Holonomic Quantum Computing
  2026 · 量子计算 · We present a geometric framework for holonomic quantum computing in which quantum gates arise from global properties of control manifolds rather than fine-tuned dynamical evolution. Quantum states are modeled as complex …
• A Modular Software Stack for Quantum Computing From Born-Rule Equilibrium to Nonequilibrium-Aware Quantum Software
  2026 · 量子计算 · Abstract Current quantum software architectures rely on the Born rule as a universal axiom for converting quantum states into measurement statistics. In practice, near-term (NISQ) processors operate as noisy, driven open…
• Quantum Computing Emulation using Neuromorphic Artificial Spiking Neurons
  2025 · 量子计算 · Quantum computing emulation using neuromorphic artificial spiking neurons designed with CMOS electronics is introduced in this paper. By extending the Axon-Hillock neuron model, the proposed circuit can emulate a univers…
• Solving Portfolio Optimization Problems using Adiabatic Quantum Computing
  2025 · 量子计算 · Abstract This study explores the application of adiabatic quantum computing to portfolio optimization, a critical problem in finance. By formulating the problem as a Quadratic Unconstrained Binary Optimization (QUBO) mod…
• 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…
• Maximin shares under cardinality constraints
  2026 · AI Agent 生态 · Abstract We study the problem of fair allocation of a set of indivisible items among agents with additive valuations, under cardinality constraints. In this setting, the items are partitioned into categories, each with i…
• QForge Applications: A Unified Problem-to-Evidence Framework for Industrial Optimization, Molecular Simulation, Finance, Cybersecurity, and Quantum Machine Learning
  2026 · 生物计算 · Quantum-computing application studies often stop at the implementation of an isolated circuit or the solution of a small demonstration problem. Industrial adoption requires a more complete engineering process involving p…
• EXPLORING THE IMPACT OF QUANTUM COMPUTING ON CRYPTOGRAPHIC ALGORITHMS
  2026 · 生物计算 · Quantum computing represents a transformative shift in computational power, with the potential to revolutionize cryptography. This article examines the implications of quantum computing on current cryptographic algorithm…
• EXPLORING THE IMPACT OF QUANTUM COMPUTING ON CRYPTOGRAPHIC ALGORITHMS
  2026 · 生物计算 · The emergence of quantum computing poses significant challenges and opportunities in the realm of cryptography. Traditional cryptographic algorithms, such as RSA and ECC (Elliptic Curve Cryptography), rely on the computa…
• Room-Temperature Quantum AI: A Technical Research Roadmap Toward Biologically-Inspired Quantum Computing Architectures for Artificial General Intelligence
  2026 · 生物计算 · The prevailing assumption in quantum computing, that quantum effects require near-absolute-zero temperatures to be computationally useful, rests on an engineering convenience, not a physical law. Biological systems routi…
• Room-Temperature Quantum AI: A Technical Research Roadmap Toward Biologically-Inspired Quantum Computing Architectures for Artificial General Intelligence
  2026 · 生物计算 · The prevailing assumption in quantum computing, that quantum effects require near-absolute-zero temperatures to be computationally useful, rests on an engineering convenience, not a physical law. Biological systems routi…
• Quantum Machine Learning
  2026 · 边缘智能 · Quantum Machine Learning (QML) is the convergence of two cutting-edge technologies—quantum computing and artificial intelligence—dedicated to rewriting computational horizons of pattern recognition, optimization, and pre…
• Machine Learning with Quantum Computers
  2026 · 边缘智能 · Learning compressed, latent representations of quantum states can help us understand and simulate the natural world. To this end, one needs devices that can capture and reliably process information using quantum-mechanic…
• Quantum Computing Algorithms
  2026 · 量子计算 · Abstract This chapter explains in detail some of the algorithms that convinced physicists and computer scientists that there might be something to this crazy idea of quantum computing. Each algorithm provides a case stud…
• Beyond boson sampling: higher spin sampling as a practical path to quantum supremacy
  2026 · 量子计算 · Abstract Since the dawn of quantum computation science, a range of quantum algorithms have been proposed, yet few have experimentally demonstrated a definitive quantum advantage. Shor’s algorithm, while renowned, has not…
• Traditional Computing
  2026 · 量子计算 · Abstract This chapter focuses on classical computing to set the stage for the similarities and differences with quantum computers in later chapters. The gentle introduction deploys examples of binary digits (bits), Boole…
• Quantum Entanglement-Driven Constraint Propagation (QECP)
  2026 · 量子计算 · Quantum Entanglement-Driven Constraint Propagation (QECP) presents a fundamentally new approach to constraint propagation in quantum systems. Traditional methods often rely on classical representations, limiting the expl…
• Quantum Entanglement-Driven Constraint Propagation (QECP)
  2026 · 量子计算 · Quantum Entanglement-Driven Constraint Propagation (QECP) presents a fundamentally new approach to constraint propagation in quantum systems. Traditional methods often rely on classical representations, limiting the expl…
• Title: Adaptive Quantum Error Correction within Quantum Annealing
  2026 · 量子计算 · Quantum annealing offers a promising approach to solving optimization problems, but its susceptibility to errors poses a significant challenge. Conventional error correction methods often require significant overhead and…
• Title: Adaptive Quantum Error Correction within Quantum Annealing
  2026 · 量子计算 · Quantum annealing offers a promising approach to solving optimization problems, but its susceptibility to errors poses a significant challenge. Conventional error correction methods often require significant overhead and…
• Self-Adaptive Geometry Transformation Verification
  2026 · 量子计算 · This paper explores the application of quantum computing to the verification of geometric transformations, specifically focusing on a novel approach based on adaptive topology. We demonstrate the feasibility of utilizing…
• Self-Adaptive Geometry Transformation Verification
  2026 · 量子计算 · This paper explores the application of quantum computing to the verification of geometric transformations, specifically focusing on a novel approach based on adaptive topology. We demonstrate the feasibility of utilizing…
• Quantum-Enhanced Constraint Programming – Speeding up Verification
  2026 · 量子计算 · This paper investigates the potential of quantum computation to accelerate constraint programming verification, particularly for large and complex problems. We propose a novel method leveraging a quantum algorithm to eff…
• Quantum-Enhanced Constraint Programming – Speeding up Verification
  2026 · 量子计算 · This paper investigates the potential of quantum computation to accelerate constraint programming verification, particularly for large and complex problems. We propose a novel method leveraging a quantum algorithm to eff…
• A Quantum Parallel Computing Model Based on Quantum State Superposition
  2026 · 量子计算 · This paper presents a novel parallel computing model leveraging the principle of quantum state superposition. The core idea is to decompose computational tasks into multiple quantum states, enabling parallel execution th…
• A Quantum Parallel Computing Model Based on Quantum State Superposition
  2026 · 量子计算 · This paper presents a novel parallel computing model leveraging the principle of quantum state superposition. The core idea is to decompose computational tasks into multiple quantum states, enabling parallel execution th…
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  2026 · 量子计算 · This paper investigates the application of dynamic matrix decomposition (DMD) techniques within the framework of quantum computing to optimize a complex problem. The core focus is on utilizing quantum algorithms to accel…
• Okay, here's a full-text paper, adhering to your specifications – aiming for a 4000-word document with the requested structure, format, and content, using only text-based formulas and mathematical notation.
  2026 · 量子计算 · This paper investigates the application of dynamic matrix decomposition (DMD) techniques within the framework of quantum computing to optimize a complex problem. The core focus is on utilizing quantum algorithms to accel…
• Symmetry Quantum State Matrix Decomposition Acceleration
  2026 · 量子计算 · This paper investigates a novel algorithm for accelerating matrix decomposition within the context of asymmetric quantum states. Traditional matrix decomposition methods often struggle with complex, rapidly evolving quan…
• Symmetry Quantum State Matrix Decomposition Acceleration
  2026 · 量子计算 · This paper investigates a novel algorithm for accelerating matrix decomposition within the context of asymmetric quantum states. Traditional matrix decomposition methods often struggle with complex, rapidly evolving quan…

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