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O SkillsMP coletou 4.114 skills de hiyenwong/ai_collection. Abra uma skill para revisar a origem e os detalhes.
hiyenwong/ai_collectionMostrando 40 de 4.114 skills coletadas.
Quantum cognition methodology for modeling cognitive processes using quantum probability theory. Combines neuroscience insights with quantum information formalism to model decision making, context-dependent reasoning, mental state dynamics, and non-classical…
Idioma do texto original: inglês
Quantum computing complexity theory + mathematical structure analysis. Analyzes quantum circuits, algorithms, and information theory through mathematical frameworks including Lie algebra, complexity classes, and geometric methods. Use when studying: quantum…
Idioma do texto original: inglês
Quantum computational sensing (QCS) methodology for task-specific information extraction combining quantum sensing with quantum computing. Use for binary classification sensing tasks, quantum-enhanced signal processing, and quantum-classical hybrid sensing…
Idioma do texto original: inglês
Reusable patterns from quantum computing and quantum machine learning research. Covers distributed quantum computing, variational quantum algorithms, QML architectures, and quantum advantage verification. Use when analyzing quantum computing papers, designing…
Idioma do texto original: inglês
End-to-end learning of quantum control on latent dynamical manifold using LSTM. Joint learning of system dynamics and control strategies in low-dimensional latent space, replacing iterative simulate-then-optimize paradigm. Activation: end-to-end quantum…
Idioma do texto original: inglês
Scaling laws for meta-learning in quantum control — determining when adaptation justifies its overhead, few-shot pre-adaptation budget estimation, and OOD robustness patterns. Covers device heterogeneity, environmental drift, per-device calibration reduction,…
Idioma do texto original: inglês
Software framework methodology for pulse-level quantum computing that bridges gate-based abstractions with hardware-aware optimization. Integrates quantum optimal control within quantum machine learning (QML), enabling composable ansatz constructions,…
Idioma do texto original: inglês
Ravine analysis framework for Quantum Cost Landscapes (QCLs) using Nudged Elastic Band (NEB) algorithm. Identifies low-cost paths connecting local minima in VQA optimization, constructs ensemble predictions from ravine-structured QNNs, and introduces a…
Idioma do texto original: inglês
Quantum learning theory for continuous-variable (bosonic) systems. Covers sample complexity analysis for learning non-Gaussian and Gaussian states, trace distance bounds via covariance matrices, Gaussian state testing, and efficient Gaussian process learning…
Idioma do texto original: inglês
Quantum data center network design and entanglement distribution optimization. Analyze resource requirements for entanglement purification in multi-hop quantum networks.
Idioma do texto original: inglês
Toolbox methodology for understanding the physics of quantum data management. Connects quantum device physical behavior to database problem structure and difficulty, evaluates quantum annealing for combinatorial optimization in data management. Use when…
Idioma do texto original: inglês
Quantum-based diagnostic architecture methodology for robust medical image analysis using compact quantum feature representations. Combines quantum-inspired architectures with classical deep learning for enhanced diagnostic accuracy with fewer parameters.…
Idioma do texto original: inglês
Framework for analyzing how quantum entanglement reshapes the geometry of quantum differential privacy, characterizing privacy-utility tradeoffs in quantum information processing systems.
Idioma do texto original: inglês
Low-depth distributed quantum search algorithms for unordered database lookup. Splits Grover search across distributed quantum nodes to reduce circuit depth and NISQ noise. Use when implementing distributed quantum computing for database search, optimizing…
Idioma do texto original: inglês
Quantum distributed computing algorithms based on classical snapshot theory. Extends Chandy-Lamport snapshot to quantum systems for implementing decomposable global quantum operations. Use when designing quantum distributed algorithms, quantum causality…
Idioma do texto original: inglês
Quantum divide and conquer methodology combining classical dynamic programming with quantum search to achieve improved exponential base for NP-hard combinatorial optimization. Parameterized hybrid algorithms with tunable quantum-classical balance. Use when…
Idioma do texto original: inglês
Assess whether Quantum Deep Learning (QDL) approaches can practically deliver advantages given current and projected hardware constraints. Based on systematic survey of quantum algorithms mapped to deep learning applications. Use when: (1) Evaluating QDL…
Idioma do texto original: inglês
Geometric approach to zero-memory quantum dot reservoir computing — leverages intrinsic nonlinear dynamics of quantum dot arrays for temporal information processing without internal memory states. Use when working with quantum dot systems for reservoir…
Idioma do texto original: inglês
Quantum economics methodology using economic action constant (hbar_E) as structural analogue to Planck's constant for modeling macroeconomic regime transitions under radical uncertainty.
Idioma do texto original: inglês
Quantum machine learning data encoding selection methodology based on arXiv:2606.05387. Provides a three-axis taxonomy (cost-expressivity-robustness), depth-fidelity bounds under NISQ decoherence, and a five-regime decision framework for choosing optimal…
Idioma do texto original: inglês
Quantum End-to-End Learning (QEL) methodology for contextual combinatorial optimization. First quantum computing-based end-to-end learning framework leveraging QAOA with context re-uploading phase-separator. Enables joint end-to-end training with stationarity…
Idioma do texto original: inglês
Lightweight quantum-enhanced ResNet for coronary angiography (CAG) classification. Combines classical CNN backbones with variational quantum circuits for medical image classification. Use when: coronary angiography analysis, cardiac image classification,…
Idioma do texto original: inglês
Quantum-enhanced distributed network sensing (DQN) using multiple quantum resources: catalysis, entanglement, and squeezing for multiphase estimation approaching Heisenberg limit. arXiv: 2605.19545.
Idioma do texto original: inglês
Hybrid quantum-classical SVM methodology using quantum kernel methods for financial market prediction and pattern recognition in high-dimensional data. Use when building quantum ML models for financial forecasting, market prediction, or trading strategy…
Idioma do texto original: inglês
Quantum entanglement-assisted distributed storage methodology — achieving 2x bandwidth reduction for oblivious updates using shared entanglement and CSS codes.
Idioma do texto original: inglês
Methodology for quantum entanglement degree imaging using PET scanners — extracting C_QE biomarkers from annihilation photon polarization correlations via Compton scattering. Use when researching quantum entanglement medical imaging, PET biomarker…
Idioma do texto original: inglês
Quantum entanglement verification methodology — detecting fake entanglement from imperceptible measurement deviations, with implications for quantum information security, quantum key distribution, and entanglement-based protocols.
Idioma do texto original: inglês
Quantum error correction using gauge theories and quantum reference frames. Building QECC from lattice gauge theories (QED, QCD). Use when researching quantum error correction, gauge theory applications, or quantum computing reliability.
Idioma do texto original: inglês
Reusable patterns from quantum error correction research. Covers RL-controlled QEC, fault-tolerant architectures, neutral-atom systems, Bacon-Shor codes, and loss-biased codes. Use when analyzing QEC papers, designing fault-tolerant quantum systems, selecting…
Idioma do texto original: inglês
Quantum f-divergence contraction rate analysis methodology. Use when analyzing quantum channel convergence, strong data processing inequalities (SDPI), quantum information contraction bounds, or studying how quantum states approach equilibrium under noisy…
Idioma do texto original: inglês
Quantum fault-tolerance verification methodology using symbolic execution for quantum error correction codes. Formal verification framework for proving fault-tolerance properties of QECC implementations. Use when analyzing quantum error correction, verifying…
Idioma do texto original: inglês
Quantum Feature Amplification Network (QFAN) methodology for autoregressive quantum generative modeling with fixed qubit budget. Use when generating quantum images, designing quantum generative models, or reducing qubit requirements for quantum demonstrations.
Idioma do texto original: inglês
Quantum Feature Amplification Network (QFAN) methodology for autoregressive quantum generative modeling. Decouples quantum register size from output dimension using fixed-size quantum circuits combined with classical autoregressive decoding. Use when…
Idioma do texto original: inglês
Communication-efficient Quantum Federated Learning (QFL) methodology for privacy-sensitive healthcare. Introduces Hybrid QFL architecture with light-cone feature selection and dynamic centralized/decentralized aggregation switching. Use when designing…
Idioma do texto original: inglês
Mode-independent sample complexity for fermionic classical shadows. Improves worst-case bound from O(√n log n) to O(η log η) using harmonic analysis on AIII symmetric space.
Idioma do texto original: inglês
Quantum Feshbach engine methodology — optimization framework for high-efficiency quantum thermodynamic cycles using trapped Bose-Einstein condensates with Feshbach resonance tuning. Use when designing quantum heat engines, optimal control of quantum many-body…
Idioma do texto original: inglês
Quantum state fidelity estimation methodology with optimal sample complexity bounds. Covers O(r²/ε²) upper and Ω(r/ε²) lower bounds for rank-r reference states, tolerant certification, and quantum query complexity implications. Use when estimating quantum…
Idioma do texto original: inglês
Quantum computing applications in finance and economics. Use when analyzing quantum portfolio optimization, quantum Monte Carlo for risk, quantum game theory, option pricing with quantum algorithms. Keywords: quantum finance, quantum portfolio, quantum Monte…
Idioma do texto original: inglês
Financial computation stack framework for evaluating quantum computing applications across five connected domains. Based on arXiv:2604.08180 (134-page review) plus 2026 hot-starting and benchmark papers.
Idioma do texto original: inglês
Quantum Fisher Information (QFI) duality methodology for distributed quantum sensing — establishing fundamental trade-offs between sensing precision and parameter privacy.
Idioma do texto original: inglês