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SkillsMP는 hiyenwong/ai_collection에서 4,114개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
hiyenwong/ai_collection수집된 skill 4,114개 중 40개를 표시합니다.
量子计算在金融组合优化中的应用。涵盖 QUBO建模、量子退火、QRNG增强Monte Carlo、VaR/CVaR风险估计、QAOA Mixer选择、两步QAOA优化、混合量子优势审计、QRL动态组合优化、QAOA+ZNE误差缓解、qReduMIS递归量子-经典组合优化。触发词：量子金融、quantum portfolio、量子组合优化、quantum annealing finance、QRNG VaR、QAOA mixer、hybrid quantum audit、D-Wave…
원문 언어: 다국어 혼합
Experimental demonstration of quantum advantage in communication complexity using quantum fingerprinting for Euclidean distance computation. Uses coherent state pulses in simultaneous message passing (SMP) model. Shows quantum advantage in transmitted…
원문 언어: 영어
Framework for understanding gauge theories as quantum error-correcting codes, bridging lattice QED, stabilizer codes, and quantum reference frames. Use when analyzing quantum error correction, gauge symmetry, information-theoretic significance of gauge…
원문 언어: 영어
量子-几何-统计学交叉领域分析方法。整合量子概率、Fisher信息几何、张量网络(Belief Propagation)、拓扑数据分析在量子系统中的应用。用于量子系统的统计建模、几何分析、拓扑序学习、多体量子系统计算。关键词：quantum geometry, quantum statistics, Fisher information, tensor network, topological order, quantum probability, belief propagation, quantum…
원문 언어: 중국어
Quantum growth modeling methodology using parameterized quantum circuits, EWL quantum games, and Dirac-Hamiltonian economic simulation. Applies quantum computing to economic growth, innovation dynamics, capital accumulation, and policy recommendation systems.…
원문 언어: 영어
Research methodology for quantum computing applications in healthcare and medicine using knowledge graph analysis. Covers: (1) searching kg.db for quantum+medical papers via vector similarity and keyword search, (2) PageRank-based importance ranking of…
원문 언어: 영어
Quantum-Inspired Evolutionary Optimization (QIEO) for non-convex ML optimization. Uses quantum superposition-inspired probability amplitudes, quantum rotation gates for distribution updates, and quantum interference for exploration/exploitation balance. Use…
원문 언어: 영어
Quantum learning theory framework for continuous-variable (CV) bosonic systems. Covers information extraction efficiency bounds, CV quantum state learning, and bosonic quantum information protocols. Use when: analyzing quantum learning bounds, designing CV…
원문 언어: 영어
Efficient quantum algorithm for solving linear matrix differential equations with applications to open quantum system simulation. Computes solution matrix entries with query complexity O~(νLt/ε), achieving nearly optimal scaling. Use when: quantum simulation…
원문 언어: 영어
Framework for applying quantum machine learning to medical diagnosis tasks. Covers QNN architectures, encoding strategies, and evaluation methodologies for clinical data. Trigger: quantum medical diagnosis, QNN healthcare, quantum clinical prediction, medical…
원문 언어: 영어
Patterns and methodologies for applying quantum computing and quantum machine learning to medical diagnostics, healthcare, and clinical applications. Covers hybrid quantum-classical architectures (HQNNs, QNNs, QSVMs), quantum-enhanced medical imaging,…
원문 언어: 영어
Adaptive hybrid quantum-classical feature fusion for medical image classification. Combines classical deep learning backbones (ResNet, ViT) with parameterized quantum circuits via three progressive fusion strategies: Static Hybrid Fusion (SHF), Dynamic Hybrid…
원문 언어: 영어
Analysis and research synthesis skill for quantum-enhanced medical imaging papers. Use when working with papers on quantum computing for medical image reconstruction (MRI/CT/PET), quantum sensors for diagnostics (NV centers, quantum dots), or quantum…
원문 언어: 영어
Reusable research patterns from quantum ML in healthcare: hybrid modeling, entanglement PET (J-PET), CV photonic QNNs, quantum autoencoders, quantum ophthalmology, generative models, kernel methods, clinical trials, tensor-network federated learning, TSHF…
원문 언어: 영어
Research methodology for quantum computing applications in medicine and healthcare. Covers quantum machine learning for medical imaging, drug discovery, clinical trial optimization, disease diagnosis, and precision medicine. Use when researching or…
원문 언어: 영어
Minimax estimation of high-order functionals using quantum computing arguments. Bridges quantum information theory with statistical estimation theory, providing sample-optimal bounds for functional estimation. Activation: minimax estimation, quantum…
원문 언어: 영어
Reusable patterns for Quantum Machine Learning (QML) research and implementation. Covers Variational Quantum Circuits (VQC), Quantum Neural Networks (QNN), Quantum Approximate Optimization Algorithm (QAOA), quantum kernels, QUBO-encoded RL policy search, and…
원문 언어: 영어
Quantum Machine Learning research assistant. Searches arxiv for quantum ML papers, analyzes patterns from knowledge graph (kg.db), extracts concepts from quantum circuits, neural networks, and finance/medical applications. Use when researching quantum…
원문 언어: 영어
Optimize entanglement distribution in quantum networks via link-layer control strategies. Compare sequential vs simultaneous entanglement swapping for multi-hop quantum communication. Use when: (1) designing quantum network architectures, (2) optimizing…
원문 언어: 영어
Quantum-Inspired Hamiltonian Optimization for large-scale QKD network routing methodology. Combines stochastic tensor networks with adaptive congestion routing for optimizing latency, secret key rate, and security in quantum networks. Use when: (1) designing…
원문 언어: 영어
Quantum Neural Network Architecture Search (QNAS) skill for designing efficient quantum neural networks on NISQ hardware. Uses multi-objective optimization (NSGA-II) to balance accuracy, runtime efficiency, and circuit cutting overhead. Apply when designing…
원문 언어: 영어
Quantum Neural Network (QNN) architecture design and optimization patterns. Covers quantum-classical hybrid learning, Lie algebra truncation, barren plateau mitigation, quantum expressivity, and tensor network approaches. Activates for: QNN design, quantum…
원문 언어: 영어
Entropy estimation in multi-qutrit quantum systems using variational quantum algorithms and classical CNNs. Combines SU(3)-inspired ansatzes for VQAs on small systems with CNN-based estimators for larger qutrit systems. Use when: (1) estimating von Neumann…
원문 언어: 영어
Quantum neuromorphic computing framework combining quantum gates, memristive synapses, quantum cognition, optical quantum neurons, and neuromorphic quantum kernels. Use when: (1) analyzing quantum brain models, (2) implementing quantum neural networks, (3)…
원문 언어: 영어
量子神经科学跨学科分析方法。将量子计算方法应用于神经科学问题，包括量子神经网络(QNN)用于脑信号分析、量子图神经网络(QGNN)用于脑连接、量子算法优化神经动力学建模。激活关键词: quantum neuroscience, quantum neural network, quantum EEG, quantum brain, 量子神经科学, 量子脑科学, QNN neuroscience.
원문 언어: 다국어 혼합
Quantum algorithms and number theory intersection - explores quantum computing approaches to number theory problems (factoring, primality, discrete log) and number theory patterns in quantum physics (Riemann zeta, correlations, anomaly cancellation). Use when…
원문 언어: 영어
Guide for understanding and applying the Quantum Approximate Optimization Algorithm (QAOA) for combinatorial optimization problems. Covers QAOA principles, circuit construction, parameter optimization, and classical-quantum hybrid workflows. Use when working…
원문 언어: 영어
Apply quantum optimization algorithms to transportation network problems including vehicle routing, urban logistics, and infrastructure planning. Covers compressed adiabatic evolution, constraint-preserving XY-mixers, QAOA variants, and hardware-efficient…
원문 언어: 영어
Quantum entanglement degree as PET biomarkers for hypoxia sensing methodology. Uses positronium quantum sensing to non-invasively assess tissue oxygen concentration via photon entanglement, lifetime, and annihilation ratios.
원문 언어: 영어
Quantum circuit simulation methodology for compartmental pharmacokinetic/pharmacodynamic (PK/PD) modeling. Reformulates drug dynamics as open quantum systems with variational quantum circuits. Use when: simulating drug dynamics with quantum computing,…
원문 언어: 영어
Quantum portfolio optimization methodologies — QAOA for higher-order moments (skewness, kurtosis), quantum annealing for mean-variance optimization, and hybrid quantum-classical pipelines for NISQ-era finance. Use when: (1) portfolio optimization with quantum…
원문 언어: 영어
Quantum probability-flow methodology for deriving local Hebbian learning rules in associative memory networks. Use when: (1) quantum-inspired learning rules for neural networks, (2) attention mechanisms from quantum probability flow, (3) quantum…
원문 언어: 영어
Framework for applying quantum probability theory to statistical settings and machine learning. Covers Born rule applications, quantum measurement theory, quantum state superposition, and quantum interference in probabilistic modeling. Activation: quantum…
원문 언어: 영어
Quantum qubit measurement and state transition analysis methods for circuit QED systems, including fluxonium qubits, measurement-induced transitions, and multi-photon resonance analysis. Activates on: qubit measurement, fluxonium analysis, quantum readout,…
원문 언어: 영어
Qubit mapping and routing methodology for quantum compilation. Uses position graph abstraction and memoized heuristic evaluation to scale SABRE-based routing on TI-QCCD and other heterogeneous quantum architectures. Covers position graph abstraction, relative…
원문 언어: 영어
Quantum renormalization group flow methodology for 1D mixed states using C*-Hopf algebra representations. Perturbs renormalization fixed points with on-site noise quantum channels, coarse-grains iteratively, and describes effective flows via quantum Goursat…
원문 언어: 영어
Quantum Reservoir Computing (QRC) framework covering chaotic dynamics prediction, thermodynamic limits, symmetry exploitation, amplitude encoding protocols, hybrid architectures, operating band localization, and Kerr feedback superiority. Use for designing…
원문 언어: 영어
Quantum-enhanced reinforcement learning methodology for process synthesis problems. Formalizes process design as MDP and introduces quantum RL algorithms with state encoding to decouple qubit requirements from problem size. Covers quantum DQN, state encoding,…
원문 언어: 영어
Research software engineering (RSE) methodology for quantum and scientific computing codes. Covers continuous integration, automated testing, compiler warning correction, continuous benchmarking, and detection of critical defects in scientific software.…
원문 언어: 영어
Compiler techniques for synthesizing resource-efficient code surgery protocols on arbitrary quantum stabilizer codes. Covers structure-aware graph optimization, ancilla qubit reduction, dynamic expansion-congestion balancing, and code degree constraints for…
원문 언어: 영어