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Claude Skills by hiyenwong
github.com/hiyenwong9,934 skills5 installs19,223 views
- Spectral Geometry Quantum LearningSpectral geometry framework for diagnosing quantum learning systems using bosonic-Bloch probes. Links learned spectral partitions to two-boson interference signatures, Bloch-space drift for anomaly detection, and quantum Fisher information geometry. Activation: spectral geometry quantum learning, bosonic interference probe, Bloch-space drift, quantum autoencoder diagnostics, quantum Fisher information geometry, 谱几何量子学习Votes: 0GitHub stars: 3
- Spectral Quantum Thermometry LimitsSystematic framework mapping spectral structure of quantum probes to thermometric performance limits. Derives exact scaling laws for quantum Fisher information revealing two high-temperature universality classes (T^{-4} for finite-spectrum, T^{-2} for unbounded/continuous). Provides design principles for optimized quantum thermometers via degenerate excited states or quantum walk topologies.Votes: 0GitHub stars: 3
- Split Ensemble Qrc TrainingSplit-ensemble training methodology for quantum reservoir computing that reorganizes measurement shot records to create more training examples without additional quantum hardware cost.Votes: 0GitHub stars: 3
- Sqnn Adversarial RobustnessStochastic Quantum Neural Network (SQNN) adversarial robustness methodology combining decoherence-contraction theory, quantum dropout regularisation, and Lindblad master equation formulation. Use when: (1) Building adversarially robust quantum neural networks, (2) Studying noise as computational resource in QML, (3) Implementing quantum dropout or depolarising regularisation, (4) Analyzing adversarial robustness of quantum classifiers under FGSM/PGD attacks, (5) Designing hybrid quantum-class...Votes: 0GitHub stars: 3
- Sqnn Decoherence DefenceStochastic Quantum Neural Networks (SQNNs) adversarial robustness methodology. Decoherence-contraction theorem for depolarising channels, per-gate dropout as curvature-weighted L2 penalty, and noise-as-defence framework for quantum machine learning. Use when: SQNNs, quantum adversarial robustness, quantum dropout, decoherence contraction, Lindblad master equation, neural network security.Votes: 0GitHub stars: 3
- Stable Self Modulating Quantum FwpsSelf-Modulating Quantum Fast-Weight Programmers with bounded memory gates for stable sequence processing via variational circuit parameters.Votes: 0GitHub stars: 3
- Statistical Analysis Of The Impact Of Quaternion Components In Convolutional Neural Networks**arXiv ID:** 2409.00140 **Authors:** Gerardo Altamirano-Gómez, Carlos Gershenson **Published:** 2024-08-29T19:13:20Z **Abstract:** In recent years, several models using Quaternion-Valued Convolutional Neural Networks (QCNNs) for different problems have been proposed. Although the definition of the quaternion convolution layer is the same, there are different adaptations of other atomic components to the quaternion domain, e.g., pooling layers, activation functions, fully connected layers, et...Votes: 0GitHub stars: 3
- Stochastic Quantum Spiking Neural NetworksNovel stochastic quantum spiking (SQS) neuron model with multi-qubit quantum circuits for internal quantum memory, enabling event-driven probabilistic spike generation and hardware-friendly local learning without backpropagation.Votes: 0GitHub stars: 3
- Structural Equationvae Disentangled Latent Representations For Tabular Data**arXiv ID:** 2508.06347 **Authors:** Ruiyu Zhang, Ce Zhao, Xin Zhao, Lin Nie, Wai-Fung Lam **Published:** 2025-08-08T14:21:20Z **Abstract:** Learning interpretable latent representations from tabular data remains a challenge in deep generative modeling. We introduce SE-VAE (Structural Equation-Variational Autoencoder), a novel architecture that embeds measurement structure directly into the design of a variational autoencoder. Inspired by structural equation modeling, SE-VAE aligns latent su...Votes: 0GitHub stars: 3
- Structure Aware Variance Reduction HamiltonianVariance reduction methodology for unbiased randomized Hamiltonian simulation. Applies classical variance reduction techniques to randomized product formulas (continuous TE-PAI) without introducing bias, achieving discretization-error-free simulation with finite-depth random circuits. Use when optimizing quantum Hamiltonian simulation, reducing Trotter error, or analyzing variance-sampling tradeoffs in randomized quantum algorithms.Votes: 0GitHub stars: 3
- Subspace Equality Hypothesis TestingTwo-Sample Hypothesis Testing for Subspace Equality in Network Data - methodology for stat.ME; math.ST applicationsVotes: 0GitHub stars: 3
- Subsystem Qec MetrologySubsystem quantum error correction methodology for noisy quantum metrology — uses subsystem stabilizer codes to achieve Heisenberg limit with simplified protocols. Covers syndrome-free protocols with single ancilla qubit, Floquet code protection for time-dependent metrological signals, and general conditions for subsystem codes in metrology. Use when: protecting quantum metrology from noise with minimal ancilla overhead, designing syndrome-free metrological protocols, implementing Floquet cod...Votes: 0GitHub stars: 3
- Tensor Network Emotional Memory ModelingTensor network modeling for order-dependent emotional memory in children (arXiv:2606.28470)Votes: 0GitHub stars: 3
- Tensor Network Linear AlgebraTensor network dimension reduction methodology for provably solving exponential-scale linear algebra problems including trace estimation and eigenvalue approximation at dimension up to 2^200.Votes: 0GitHub stars: 3
- Tensor Network Many Body Trace NormsTensor-network algorithm for estimating trace norms of matrix product operators (MPOs) without full diagonalization. Combines Zolotarev's rational approximation to the sign function with a variational formulation for controlled approximation of many-body quantum information quantities. arXiv:2606.11882Votes: 0GitHub stars: 3
- Thermodynamic Quantum Reservoir ComputingNon-equilibrium thermodynamic framework linking macroscopic predictive performance of quantum reservoir computing to microscopic energetic costs. Maps Holevo capacities onto Bogoliubov-Kubo-Mori geometric manifold. Identifies spectral resonance at quantum criticality and derives generalized Landauer bound for temporal processing.Votes: 0GitHub stars: 3
- Tilted Xor GamesTilted XOR games methodology — variant of XOR nonlocal games where winning condition depends on XOR plus one output bit. Shows quantum value approximation is RE-complete, dramatically increasing expressive power over standard XOR games.Votes: 0GitHub stars: 3
- Topological Subsystem Code ConstructionFramework for constructing topological subsystem codes using anticommuting quantum spin liquids — extends toric code with spatial modifications creating extensive ground state degeneracy as subsystem degrees of freedom, with local gauge qubits undisturbed by check operators.Votes: 0GitHub stars: 3
- Tsp Quantum PreprocessingPreprocessing methodology for combinatorial optimization (TSP and beyond) that reduces problem size by restricting candidate arcs to lowest-cost neighbors. Applicable to both classical solvers and quantum optimization frameworks (QAOA, quantum annealing).Votes: 0GitHub stars: 3
- Turing Mechanisms Open Quantum SystemsPattern formation in multimode open quantum systems via GKSL master equation — extends Turing instabilities and mode competition to dissipative quantum systems with parametric driving and nonlinear damping.Votes: 0GitHub stars: 3
- Tweezer Ion Quantum ArchitectureQuantum computer architecture combining trapped-ion qubits with optical tweezer reconfigurability for scalable entangling gates via Coulomb-mediated dipole interactionsVotes: 0GitHub stars: 3
- Twirled Perfect Tensor NetworksNovel class of tensor networks motivated by the Python's Lunch Conjecture, defining computationally covariant holographic tensor networks with reduced complexity for extended black brane states.Votes: 0GitHub stars: 3
- Ultralow Loss Photonic QuantumUltralow-loss integrated photonic platforms for discrete-variable quantum information processing using silicon nitride (Si3N4) technology. Design methodology for high-fidelity entanglement generation and multi-photon state synthesis on manufacturable chips.Votes: 0GitHub stars: 3
- Universal Quantum Cat QubitsMethodology for universal quantum computation using dissipatively stabilized multi-mode Schrödinger cat states via non-local dissipation engineering, based on arXiv:2607.13975.Votes: 0GitHub stars: 3
- Universal Quantum Computation With Multi Mode SchröDinger Cat States Stabilized By Non Local Dissipation EngineeringSkill for understanding and implementing universal quantum computation using dissipatively stabilized multi-mode Schrödinger cat states via non-local dissipation engineeringVotes: 0GitHub stars: 3
- Unsupervised Quantum Ml Phase DetectionUnsupervised machine learning methodology for detecting quantum many-body phase transitions directly from raw experimental measurements without model-specific prior knowledge.Votes: 0GitHub stars: 3
- Unsupervised Quantum State IdentificationUnsupervised learning methodology for automated identification of nondispersive wave packets in driven quantum systems using Floquet-based probability representations.Votes: 0GitHub stars: 3
- Variational Annealing Quantum CombinatorialComparative methodology for variational and annealing-based quantum algorithms in combinatorial optimization — covering QAOA, quantum annealing, and hybrid classical-quantum approaches with performance benchmarks.Votes: 0GitHub stars: 3
- Vectorized Quantum Control RiscvVectorized Quantum Control Processor (QCP) architecture using RISC-V Vector Extension with quantum-oriented extensions. Addresses up to 128 qubits per instruction with hardware-based halt-resume protocol within 80ns. Use when: designing quantum control processors, scaling qubit control systems, RISC-V quantum extensions, mid-circuit measurement feedback, or scalable quantum control architectures. arXiv: 2607.07372Votes: 0GitHub stars: 3
- Vf Qctrl Llm Quantum ControlPhysics-informed LLM framework for general quantum control combining symbolic reasoning with optimization. Covers analytic control ansätze generation, parameter refinement through feedback, QCTRL-BENCH benchmark design, inference-time scaling, and pulse resolution scaling.Votes: 0GitHub stars: 3
- Von Neumann Algebra Quantum ControllabilityVon Neumann algebra framework for controllability of bilinear systems on infinite-dimensional Hilbert spaces. Uses operator affiliation theory to prove existence of time-optimal controls and define dynamical Lie algebras for unbounded operators. Applicable to both quantum and classical control via Koopman operator formalism. Use when analyzing controllability of infinite-dimensional quantum systems, designing time-optimal quantum controls, studying bilinear control systems, or bridging classi...Votes: 0GitHub stars: 3
- Vqe Active Space BenchmarkingSystematic benchmarking methodology for evaluating active space selection strategies in VQE pipelines for quantum drug discovery. Use when benchmarking VQE ansatz choices, designing quantum chemistry validation workflows, or evaluating active space-driven molecular simulation on NISQ hardware. Covers UCCSD, HEA ansatz evaluation, chemically-motivated active space criteria, and QPU execution benchmarking for drug-like molecules (lovastatin, oseltamivir, morphine). Activation: vqe active space,...Votes: 0GitHub stars: 3
- Witness Expansion Quantum Resource DetectionWitness Expansion framework for detecting quantum resources in mixed states using polynomial criteriaVotes: 0GitHub stars: 3
- Zero Memory Quantum Dot ReservoirGeometric approach to zero-memory quantum dot reservoir computing - engineers memory capacity extrinsically in memoryless systems via spatial degrees of freedom exploiting computational space-time tradeoff.Votes: 0GitHub stars: 3
- Real Time Optimal Control Shallow Recurrent DecoderReal-time optimal control framework using SHallow REcurrent Decoder networks-based Reduced Order Modeling (SHRED-ROM) for high-dimensional and parametric dynamical systems. Enables synthesis of closed-loop controllers from limited state sensor readings with effective distributed control actions in new scenarios.Votes: 0GitHub stars: 3
- Active Bayesian Sensor Attack RecoveryActive Bayesian inference framework for robust control under sensor false data injection attacks. Models perception pipelines as bipartite graphs with Bayesian networks for attack detection, inference, and recovery. 激活词: active Bayesian inference, sensor attacks, false data injection, robust controlVotes: 0GitHub stars: 3
- Arxiv 2605 12519 Correct Answers From Sound Reasoning Verifiable PrCorrect Answers from Sound Reasoning: Verifiable Process Supervision for Language Models (arXiv: 2605.12519)Votes: 0GitHub stars: 3
- Arxiv 2608 05115 Robust And Efficient Motion Reasoning For PrivacyRobust and Efficient Motion Reasoning for Privacy-Aware Classroom Incident Recognition (arXiv: 2608.05115)Votes: 0GitHub stars: 3
- Arxiv 2608 05608v1 Gauge Granularity Adaptive Counterfactual Gating O**arXiv ID:** 2608.05608v1 **Authors:** Yunping Shi, En Yu, Kairui Guo, Jie Lu **URL:** http://arxiv.org/abs/2608.05608v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 05660v1 Reasoning Errors Have A Region And A Direction In**arXiv ID:** 2608.05660v1 **Authors:** Hamed Damirchi, Ignacio Meza De la Jara, Damith Ranasinghe, Yuhang Liu, Javen Shi **URL:** http://arxiv.org/abs/2608.05660v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 05995v1 A Unified Risk View Of Uncertainty Posterior Risk**arXiv ID:** 2608.05995v1 **Authors:** Frieder Wizgall, Georg Tirpitz, Moritz Seiler, Kerstin Ritter, Bálint Mucsányi **URL:** http://arxiv.org/abs/2608.05995v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 06012v1 Herald Counterfactual Audits And Minimal Repairs F**arXiv ID:** 2608.06012v1 **Authors:** Zhuowen Liu, Bohan Cui, YinShang Guo, Yuting Wang, Hao Li **URL:** http://arxiv.org/abs/2608.06012v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 06195v1 Handling Missing Data In Probabilistic Regression**arXiv ID:** 2608.06195v1 **Authors:** Taiane Schaedler Prass, Alisson Silva Neimaier, Guilherme Pumi **URL:** http://arxiv.org/abs/2608.06195v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 12961v1 Moose Latent Concept Learning With Reasoning Short**arXiv ID:** 2608.12961v1 **Authors:** Olga Mashkova, Asaad Mohammedsaleh, Fernando Zhapa-Camacho, Robert Hoehndorf **URL:** http://arxiv.org/abs/2608.12961v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 13456v1 A Unifying Perspective On Causal World Models From**arXiv ID:** 2608.13456v1 **Authors:** Avinash Kori, Fabrizio Russo **URL:** http://arxiv.org/abs/2608.13456v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 13461v1 Doubly Robust Estimation Of Causal Effect On Cvr W**arXiv ID:** 2608.13461v1 **Authors:** Jiayi Dan, Bo Li, Lu Deng, Yong Wang **URL:** http://arxiv.org/abs/2608.13461v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 13554v1 Defensive Boosting For Online Probabilistic Foreca**arXiv ID:** 2608.13554v1 **Authors:** Georgy Noarov, Aaron Roth **URL:** http://arxiv.org/abs/2608.13554v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 18574v1 Continual Reasoning Gym Diagnosing And Harnessing**arXiv ID:** 2608.18574v1 **Authors:** Lirui Luo, Guoxi Zhang, Hongming Xu, Rongqing Li, Cong Fang, Lifeng Fan **URL:** http://arxiv.org/abs/2608.18574v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 18631v1 Preference Reasoning Under Indeterminacy In Large**arXiv ID:** 2608.18631v1 **Authors:** Hadi Hosseini, Samarth Khanna, Xiyuan Wang **URL:** http://arxiv.org/abs/2608.18631v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 18709v1 A Critical Synthesis Of Uncertainty Quantification**arXiv ID:** 2608.18709v1 **Authors:** Steven Landgraf, Joceline Hinz, Markus Ulrich **URL:** http://arxiv.org/abs/2608.18709v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3