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Claude Skills by hiyenwong
github.com/hiyenwong9,934 skills5 installs19,223 views
- Quantum Gan Benchmark Controlled EvaluationControlled benchmark methodology for quantum vs classical generators in medical imaging with matched parameters (arXiv:2606.18970)Votes: 0GitHub stars: 3
- Quantum Geometry OraclesEfficient geometry oracle design for quantum algorithms simulating structured materials. Identifies when quantum oracles for exponentially many geometric features can be implemented via polynomial-size circuits using pseudorandom local texture structures. Based on arXiv:2606.00222.Votes: 0GitHub stars: 3
- Quantum Grokking AnalysisGrokking and epoch-wise double descent analysis for quantum neural networks (QNNs). Covers delayed generalization transition, overparameterization effects, weight-norm regularization, and algorithmic stability in variational quantum circuits. Use when training overparameterized quantum circuits, analyzing QNN generalization dynamics, mitigating grokking decay, or studying epoch-wise double descent in quantum machine learning.Votes: 0GitHub stars: 3
- Quantum Group Codes Non CliffordQuantum group codes for non-Clifford logic — CSS codes with addressable and parallelizable transversal multi-control-Z gates, quasi-quadratic time decoder from AG code lifting. Reduces magic-state distillation complexity by almost linear factor.Votes: 0GitHub stars: 3
- Quantum Hamiltonian Learning Long TimesHamiltonian learning methodology from single time evolution at arbitrarily long times. Covers local Hamiltonian families, normalization conditions, and probabilistic learning guarantees.Votes: 0GitHub stars: 3
- Quantum Healthcare PatternsReusable research patterns for quantum computing applications in healthcare, medical diagnosis, and clinical decision-making. Covers quantum machine learning for digital health, quantum imaging (QIGL), personalized medicine, and bioinformatics AI evaluation. Use when researching quantum-classical hybrid methods for medical applications, evaluating QML vs classical ML for clinical tasks, or analyzing quantum generative models for medical image synthesis.Votes: 0GitHub stars: 3
- Quantum Hilbert Schmidt SpeedHilbert-Schmidt Speed (HSS) contractivity analysis for quantum channels — proves HSS contracts under unital CPTP maps, enabling non-Markovianity detection and discrimination of unital vs non-unital Markovian dynamics. Activation: hilbert schmidt speed, quantum channel contractivity, non-Markovianity detection, CPTP maps, open quantum systems, quantum dynamics monitoring.Votes: 0GitHub stars: 3
- Quantum Hoare LogicQuantum Hoare Logic with Integer Hybrid Path-Sums (IHPS) for formal verification and resource estimation of hybrid quantum-classical programs with unbounded loops. Bridges formal methods, quantum programming, and static analysis.Votes: 0GitHub stars: 3
- Quantum Image Encoding CompressionGate-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.Votes: 0GitHub stars: 3
- Quantum Info Qkd SecurityQuantum key distribution security protocols and information-theoretic security guaranteesVotes: 0GitHub stars: 3
- Quantum Information Protocol AnalyzerAnalyze quantum information protocols (QKD, quantum cryptography, quantum communication) from research papers. Extract protocol design patterns, security analysis methods, and implementation guidelines. Triggered by: quantum protocol, QKD analysis, quantum cryptography, quantum communication protocol, 量子协议分析, quantum information security.Votes: 0GitHub stars: 3
- Quantum Informed Chaos MlApply quantum statistical features and quantum-inspired methods to machine learning for predicting chaotic dynamical systems. Uses higher-order quantum statistical features to capture complex correlations in chaotic data. Use when: forecasting chaotic time series, modeling turbulent fluid dynamics, predicting weather/climate chaos, analyzing nonlinear dynamical systems, or benchmarking quantum advantage in ML tasks.Votes: 0GitHub stars: 3
- Quantum Inspired Harmonic DecisionQuantum-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 quantum-inspired methods, harmonic optimization, interference-based search in creative domains, quantum cognition models for creative systems.Votes: 0GitHub stars: 3
- Quantum Integrable Daha DimQuantum integrable systems from DAHA (Double Affine Hecke Algebra) and DIM (Ding-Iohara-Miki) algebra connections. Covers Macdonald polynomials, Koornwinder polynomials, Ruijsenaars systems, and type A vs type C system distinctions. Triggers: DAHA, DIM algebra, Macdonald polynomials, Koornwinder polynomials, Ruijsenaars system, quantum integrable systems, quantum toroidal algebra, type A system, type C system.Votes: 0GitHub stars: 3
- Quantum Iomt SecurityPost-quantum cryptography and edge-native security patterns for Internet of Medical Things (IoMT) systems, including federated learning, PQC migration, and Kubernetes-based orchestration.Votes: 0GitHub stars: 3
- Quantum Isogeny SamplingQuantum polynomial-time sampling of secure supersingular elliptic curves with unknown endomorphism rings — foundational methodology for isogeny-based cryptography instantiation without trusted setup.Votes: 0GitHub stars: 3
- Quantum Kurtosis ImagingQuantum imaging via kurtosis-difference weighted covariance for SPDC photon correlation detection - reduces acquisition time by 40x compared to standard covariance methodsVotes: 0GitHub stars: 3
- Quantum Latent Gan BenchmarkControlled benchmark methodology for evaluating quantum vs classical generative augmentation in medical imagingVotes: 0GitHub stars: 3
- Quantum Lbm SurrogateHybrid 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 admissible range of relaxation without retraining. Use when building quantum surrogates for PDE solvers, fluid dynamics, or any physics simulation requiring non-unitary operation approximation.Votes: 0GitHub stars: 3
- Quantum Ldpc BreakevenBreakeven demonstration methodology for quantum low-density parity-check (qLDPC) codes on trapped-ion hardware.Votes: 0GitHub stars: 3
- Quantum Limited Subdiffraction TelescopyQuantum-limited subdiffraction telescopy using genuine multi-telescope interference. Proves pairwise measurements insufficient for higher-order image moment estimation at quantum limit. Constructs array-SPADE measurements attaining optimal QFI scaling up to finite-array cutoff. Applicable to quantum metrology, astronomical imaging, quantum network telescopy, and spatial-mode demultiplexing.Votes: 0GitHub stars: 3
- Quantum Linear Solver Beyond ConditionQuantum linear system algorithms with complexity independent of condition number - truncation-based and filtering-based solvers beyond the HHL kappa-barrierVotes: 0GitHub stars: 3
- Quantum Linear System Beyond ConditionQuantum linear system solvers with complexity independent of the condition number, using block encoding input model for Ax=b solutions.Votes: 0GitHub stars: 3
- Quantum Locc Graph TheoryGraph theory methodology for analyzing local distinguishability of quantum product states under LOCC protocols — identifying graph classes that guarantee or prevent local distinguishability.Votes: 0GitHub stars: 3
- Quantum Logic Codes Transversal CliffordQuantum Logic Codes methodology — high-rate non-LDPC CSS codes with complete depth-one/constant-depth transversal logical Clifford ISA. Constructs [[n,sqrt(n),Theta(n^beta)]] code families (beta~0.2823) possessing individually targeted S-bar, sqrt(X)-bar, and CZ-bar transversal gates. Tiling and concatenation preserve the depth-one ISA at scale. arXiv: 2606.13521Votes: 0GitHub stars: 3
- Quantum Logical SpectroscopyLogical spectroscopy methodology for constructing addressable conjugate bases in Abelian lifted-product quantum LDPC codes using CRT decomposition of group algebras.Votes: 0GitHub stars: 3
- Quantum Machine Learning Model FinanceQuantum Machine Learning Model for FinanceVotes: 0GitHub stars: 3
- Quantum Maxcut Rydberg ApproximationHybrid approximation algorithm for Quantum Max Cut using Rydberg atom dynamics combined with semidefinite programming and randomized rounding, achieving 0.651 approximation ratio.Votes: 0GitHub stars: 3
- Quantum Medical DiagnosisFramework 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 quantum MLVotes: 0GitHub stars: 3
- Quantum Medical Image EncodingQuantum image encoding and compression methodology for medical imaging using Fourier-based methods. Reduces quantum gate requirements by factor of 4+ compared to existing approaches. Based on arXiv:2505.06471Votes: 0GitHub stars: 3
- Quantum Medical Imaging PatternsPatterns and methodologies for applying quantum computing and quantum information principles to medical imaging, diagnostics, and edge AI healthcare applications.Votes: 0GitHub stars: 3
- Quantum Medical ImagingAnalysis 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 algorithms in radiology. Triggers: quantum medical imaging, quantum radiology, quantum MRI, quantum sensors medicine, quantum diagnostics.Votes: 0GitHub stars: 3
- Quantum Medical PatternsReusable research patterns from quantum machine learning in healthcare and medical applications. Covers hybrid quantum-classical medical modeling, quantum generative models for medical imaging, quantum kernel methods for medical foundation models, and quantum neural networks for biomedical analysis. Use when researching quantum computing applications in healthcare, medical diagnosis, drug discovery, clinical trial optimization, or medical image analysis. Triggers: quantum medical, quantum hea...Votes: 0GitHub stars: 3
- Quantum Minimax EstimationQuantum minimax estimation methodology for high-order functionals — using quantum arguments to achieve optimal sample complexity for classical and quantum functionals (Rényi entropy, Tsallis entropy). Use when estimating high-order functionals of discrete distributions or quantum states, computing Rényi/Tsallis entropy with optimal sample complexity, or comparing classical vs quantum estimation rates. Triggered by: quantum minimax estimation, high-order functionals, Rényi entropy estimation, ...Votes: 0GitHub stars: 3
- Quantum Minimax Functional EstimationQuantum computing methodology for minimax estimation of high-order functionals (Rényi/Tsallis entropy) — achieves optimal sample complexity O(α) vs classical O(α²)Votes: 0GitHub stars: 3
- Quantum Ml Data Loading VaeVariational autoencoder framework for learning task-specific quantum embeddings of classical data, compressing high-dimensional datasets into qubit representations with polynomial-measurement recovery.Votes: 0GitHub stars: 3
- Quantum Ml Data LoadingQuantum machine learning data loading optimization - efficient quantum state preparation, amplitude encoding, and data embedding techniques for QML. Use when: (1) Loading classical data into quantum circuits for QML, (2) Optimizing quantum feature maps and kernels, (3) Implementing efficient amplitude encoding, (4) Reducing circuit depth for data embedding, (5) Designing quantum data loaders for NISQ devices.Votes: 0GitHub stars: 3
- Quantum Ml PatternsReusable 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 hybrid quantum-classical training. Use when analyzing QML papers, designing variational quantum algorithms, or implementing quantum-classical hybrid systems. Trigger: quantum ML, QML, variational quantum, QNN, QAOA, quantum kernel, quantu...Votes: 0GitHub stars: 3
- Quantum Mpemba Symmetry RestorationQuantum Mpemba effect methodology for symmetry restoration in fragmented Hilbert spaces. Covers higher-order symmetric quantum Mpemba effect where quantum systems restore broken symmetry faster the more strongly it's initially broken. Uses replica tensor-network formulation for charge/dipole-conserving gates, frozen vs active Krylov sector decomposition, and Rényi-2 entanglement asymmetry analysis. Applicable to quantum dynamics, non-equilibrium quantum systems, memory retention in fragmented...Votes: 0GitHub stars: 3
- Quantum Nas Flops AwareFLOPs-aware neural architecture search methodology for building hardware-efficient hybrid quantum-classical neural networks (HQNNs) that are both accurate and computationally deployable.Votes: 0GitHub stars: 3
- Quantum Native DatabaseQuantum-native database design methodology (Qute framework) treating quantum computation as first-class execution. SQL-to-quantum-circuit compilation, hybrid quantum-classical query optimization, selective quantum indexing, and fidelity-preserving storage. Applicable to quantum data systems, hybrid query engines, and quantum information retrieval.Votes: 0GitHub stars: 3
- Quantum Network AuthenticationQuantum network authentication methodology - systematic framework for analyzing, selecting, and deploying authentication schemes in quantum communication networks. Covers classical message authentication, quantum message authentication, and entity authentication with security assumptions, composability, and scalability criteria. Based on arXiv:2606.30636 'Authentication in Quantum Networks'.Votes: 0GitHub stars: 3
- Quantum Network Osi StackQuantum-Converged OSI stack architecture — extending classical OSI with Layer 0 (Quantum Substrate) and Layer 8 (Cognitive Intent) for 7G quantum networks. Covers entanglement, teleportation, QKD, QEC, PQC, RIS, and semantic orchestration via LLMs and QML.Votes: 0GitHub stars: 3
- Quantum Network Performance MetricsStructured monitoring framework for quantum networks with standardized performance metrics including quality (entanglement fidelity, QBER), throughput/latency (entanglement rate, waiting time), timing (coincidence window, jitter), and exogenous factors (temperature, humidity, vibrations). Enables real-time observability, fault diagnosis, adaptive timing, and entanglement routing. Activation: quantum network monitoring, quantum network metrics, QBER monitoring, entanglement fidelity tracking, ...Votes: 0GitHub stars: 3
- Quantum Network Systems EngineeringQuantum network performance metrics, architecture design, and systems engineering patterns for distributed quantum computing. Covers entanglement distribution, error modeling, and network reliability analysis. Activation: quantum network, quantum internet, distributed quantum computing, quantum repeaters, entanglement distribution, quantum network metrics.Votes: 0GitHub stars: 3
- Quantum Neuromorphic ComputingQuantum neuromorphic computing framework combining quantum gates, memristive synapses, and quantum cognition for decision making. Use when: (1) analyzing quantum brain models, (2) implementing quantum neural networks, (3) studying quantum cognition mechanisms, (4) exploring memristive quantum synapses, (5) simulating quantum neuromorphic systems.Votes: 0GitHub stars: 3
- Quantum Neuromorphic Superconducting CircuitsFramework for implementing quantum neuromorphic computing using superconducting circuits, combining quantum coherence with neural dynamics for enhanced computational capabilities.Votes: 0GitHub stars: 3
- Quantum Neuron Activation ObservableQuantum activation observable measurement methodology derived from canonical quantization of neurons.Votes: 0GitHub stars: 3
- Quantum Nisq Resilience BenchmarkNISQ时代量子算法鲁棒性基准测试方法论。核心发现：表达力-相干性权衡(expressibility-coherence trade-off)、SWAP税分析、HE-VQNN vs WS-QAOA硬件效率对比。适用于量子组合优化硬件评估、NISQ设备选型、金融量子算法部署决策。arXiv: 2606.07727Votes: 0GitHub stars: 3
- Quantum Nlqc ReductionsNon-local quantum computation (NLQC) reduction methodology for analyzing task equivalence, position-verification security, and entanglement cost scaling across quantum communication protocols.Votes: 0GitHub stars: 3