메뉴
이 저장소의 skills
SkillsMP는 hiyenwong/ai_collection에서 4,114개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
hiyenwong/ai_collection수집된 skill 4,114개 중 40개를 표시합니다.
Methodology for canonical quantization of classical computational primitives (neurons, activation functions, energy-based models) into quantum ML models. Use when designing quantum neural architectures, constructing quantum Hamiltonians from classical energy…
원문 언어: 영어
Central Limit Theorem and Sanov's principle for Quantum Neural Network Mixture of Experts (QNN-MoE) — statistical mechanics framework for analyzing parameter fluctuations, convergence, and neural tangent kernel dynamics in quantum neural network ensembles.
원문 언어: 영어
Parameter-efficient continuous-variable photonic quantum neural networks for edge medical AI. Room-temperature quantum ML for medical image classification with 40-45% parameter reduction. Covers CV-QNN architecture simplification, barren plateau mitigation,…
원문 언어: 영어
Controlled comparison methodology showing continuous-variable (CV) QNNs outperform discrete-variable (DV) QNNs on spatial pattern recognition tasks like wafer-map defect classification.
원문 언어: 영어
Geometric Quantum Machine Learning (GQML) toolbox for graph problems — comprehensive characterization of constituents for n-node graphs encoded in n-qubit states. Provides design patterns for quantum graph models including natural classical integration,…
원문 언어: 영어
Hybrid quantum-classical neural network methodology for NLP tasks including sentiment analysis and text classification. Uses TF-IDF vectorization plus parameterized quantum circuits, with demonstrated transfer learning advantages over classical baselines.
원문 언어: 영어
Quantitative theory for integrability-to-chaos transition in quantum many-body systems via tunable integrability-breaking gates. Use when analyzing OTOC crossover from integrable to chaotic regimes, computing butterfly velocity and front broadening, studying…
원문 언어: 영어
Stabilizer state testing and learning under quantum memory constraints. Proves testing complexity is Θ(n-k) with k-qubit memory, learning is Θ(n²/k), and exponential lower bound for purity testing. Identifies coherent quantum memory as the resource enabling…
원문 언어: 영어
Multi-agent LLM architecture (QPipe) that autonomously converts natural language requirements into executable quantum application workflows through specialized agents for requirement parsing, formulation, code generation, review, execution, and verification.
원문 언어: 영어
Quantum entanglement analysis methodology using logarithmic negativity — proving that logarithmic negativity typically equals exact entanglement cost. Use when quantifying entanglement, analyzing state preparation costs, or studying quantum resource theory.
원문 언어: 영어
Mesoscopic linear spectral statistics for random quantum graph ensembles - proves variance coincides with GOE/GUE in large graph limit. Trigger words: mesoscopic statistics, quantum graphs, random graph ensemble, spectral variance, GOE, GUE, Haar measure
원문 언어: 영어
Quantum-metabolic bounds on information capacity of noninvasive brain imaging (arXiv:2511.06401)
원문 언어: 영어
Metabolic quantum limit methodology for magnetoencephalography - deriving technology-independent bound on brain information capacity using energy resolution and Planck's constant
원문 언어: 영어
Noise-aware synthesis methodology for quantum LDPC encoder circuits using two-sided Hamming descent. Enables hardware-aware circuit synthesis for fault-tolerant QEC that accounts for physical noise characteristics.
원문 언어: 영어
Partially-Blind Single-Qubit Classification (PB-SQC) methodology for quantum-secured delegated machine learning on untrusted quantum networks. Combines single-qubit classifiers with blind quantum computation to deliver privacy-preserving quantum ML…
원문 언어: 영어
Quantum Error Recovery (QER) methodology for permutation-invariant (PI) quantum codes under correlated noise. Uses channel-aware recovery maps with tunable PI code parameters to achieve fidelity beyond noise-independent QEC. Covers CAD code family…
원문 언어: 영어
Post-quantum cryptography (PQC) migration framework for Internet of Medical Things (IoMT) with edge-native federated learning security
원문 언어: 영어
Post-quantum secure pharmacovigilance data pipeline methodology using ML-KEM-768, ML-DSA-65, HKDF-SHA-256, and AES-256-GCM. Educational prototype for healthcare data pipeline security in the post-quantum era. Covers component architecture, file format…
원문 언어: 영어
Quantum Convolutional Neural Network (QCNN) methodology for surrogate modeling of complex physical systems. Uses quantum convolutional and pooling layers with Hamiltonian-inspired encoding, benchmarked across simulators and real quantum hardware with error…
원문 언어: 영어
Hybrid quantum-classical transfer learning methodology showing 15 percentage point accuracy improvement on spam classification (66%→81%) when transferring from COVID-19 sentiment analysis. Demonstrates enhanced generalization of QML models through transfer…
원문 언어: 영어
Scalable on-hardware training of Quantum Neural Networks for clinical data imputation methodology - demonstrates practical quantum machine learning for handling missing data in clinical datasets.
원문 언어: 영어
Methodology for stress-testing variational quantum neural networks on complex physical datasets, with emphasis on hyperparameter optimization, expressivity enhancement, and classical baseline comparison.
원문 언어: 영어
LLM-based multi-agent architecture for autonomous quantum application generation from natural language requirements. Use when building agentic systems for quantum software engineering, automated quantum code generation, NL-to-quantum workflows, or quantum…
원문 언어: 영어
Benchmark for measuring API drift in LLM-generated quantum code across successive SDK versions. Evaluates version fidelity, cross-version compatibility, failure modes, and documentation-guided repair. Instantiated with Qiskit v0.43, v1.3, v2.0. Activation:…
원문 언어: 영어
Quantum convolutional autoencoder (QCAE) for reconstruction-based anomaly detection using QCNN architectures - semi-supervised training on normal samples with reconstruction error as anomaly score.
원문 언어: 영어
Contraction and expansion values as monotone sequences refining the trace distance contraction coefficient of quantum channels. Provides bounds under channel composition that single scalar metrics cannot.
원문 언어: 영어
Topological control framework for quantum chaos diagnostics using OTOCs, spectral statistics, and information scrambling. Bridges network topology with information-theoretic, operator, and spectral diagnostics for quantum many-body systems.
원문 언어: 영어
Ravine analysis methodology for variational quantum algorithm (VQA) optimization using nudged elastic band (NEB) algorithm from theoretical chemistry to find low-cost paths connecting local minima in quantum cost landscapes, enabling ensemble prediction…
원문 언어: 영어
Quantum-inspired tensor network methodology for modeling order-dependent emotional memory in children, achieving 77.98% accuracy by incorporating valence into tensor factorization. Based on arXiv:2606.28470.
원문 언어: 영어
CLAIMSTAB-QC framework for auditing empirical comparisons in quantum software papers. Records baselines, metrics, and evidence; locks comparison design before outcomes; classifies reported directions as Sustained, Unresolved, or Reversed within locked audit…
원문 언어: 영어
Quantum entangled PET imaging using Compton events methodology - leveraging quantum entanglement for improved clinical PET imaging with better coincidence detection and spatial resolution at clinically relevant activities.
원문 언어: 영어
Quantum entanglement-based PET imaging methodology using Compton scattering polarization correlations for novel tissue biomarkers
원문 언어: 영어
Stable Self-Modulating Quantum Fast-Weight Programmers (QFWPs) with bounded memory gates for quantum sequence modeling. Prevents long-sequence divergence via sign-preserving tanh gates on recurrent memory branch. Based on arXiv:2607.02363.
원문 언어: 영어
Quantum Fast-Weight Programmers with bounded memory gates for stable quantum sequence modeling. Input-dependent gates for fast-weight updates with sign-preserving tanh stabilization for long-sequence regimes. Applicable to quantum dynamics forecasting and…
원문 언어: 영어
Controlled benchmark methodology for quantum vs classical generators in medical imaging with matched parameters (arXiv:2606.18970)
원문 언어: 영어
Gate-efficient quantum medical image encoding using Fourier-based methods. Reduces gates by 4x compared to pixel count. Covers two compression techniques for large-scale medical imaging with negligible quality loss.
원문 언어: 영어
Quantum-inspired computational framework for harmonic decision-making in music generation. Combines interference-based harmonization with classical tonal optimization to explore multiple chord sequences in parallel. Use when: music generation with…
원문 언어: 영어
Post-quantum cryptography and edge-native security patterns for Internet of Medical Things (IoMT) systems, including federated learning, PQC migration, and Kubernetes-based orchestration.
원문 언어: 영어
Hybrid quantum-classical surrogate model for Lattice Boltzmann Method (LBM) collision dynamics. Uses parameterized quantum circuits with data re-uploading to implement partial Fourier series, recovering complete BGK collision dynamics across full physically…
원문 언어: 영어
Logical spectroscopy methodology for constructing addressable conjugate bases in Abelian lifted-product quantum LDPC codes using CRT decomposition of group algebras.
원문 언어: 영어