All authors
Claude Skills by hiyenwong
github.com/hiyenwong9,934 skills5 installs19,223 views
- Invariance Audits Quantum KernelsReal-to-Hermitian taxonomy for auditing representation invariances in quantum machine learning. Covers Grassmann/flag projector kernels, quantum fidelity kernels, QVR anchor operators, and quotient-witness experiments for validating geometric lifts. Activation: quantum kernel audit, representation invariance, Grassmann kernel, flag projector, QVR, quantum variational rewinding, projector kernel, density geometryVotes: 0GitHub stars: 3
- Inverse Engineering Quantum ControlInverse engineering methodology for quantum control in multi-ion devices. Design control protocols for classical piston dynamics driven by quantum motion. From arXiv:2606.03488 (Li, Sherman, Ruschhaupt, 2026).Votes: 0GitHub stars: 3
- Inverted Harmonic Oscillator Quantum ProbingExperimental probing of inverted harmonic oscillator quantum dynamics using ultracold atoms. Use when studying unstable quantum dynamics, quantum squeezing, time-reversal coherence, Wigner function tomography, or quantum simulation of inflationary field dynamics.Votes: 0GitHub stars: 3
- Ion Tweezer Quantum ArchitectureScalable quantum computer architecture using trapped ions in optical tweezer arrays — combining long coherence times with reconfigurability and parallel operation via effective dipole-mediated entangling gates, temperature-robust trajectory closure, and crosstalk suppression for transversal gates.Votes: 0GitHub stars: 3
- Iterative Tensor Network TransformationsNonlinear tensor train ops via iterative transforms.Votes: 0GitHub stars: 3
- Koopman Quantum SimulationQuantum Koopman method — data-driven framework for simulating nonlinear dynamics on quantum computers. Embeds nonlinear dynamics into learned linear representation via Koopman observables, then implements evolution using shallow quantum circuits with parallel spectral channels. Validated on superconducting processor for reaction-diffusion, fluid dynamics, and ocean currents.Votes: 0GitHub stars: 3
- Lattice Patch Transmon ArchitectureLattice patch structure for fixed-frequency transmon quantum computers enabling high-fidelity CNOT gates while overcoming QCQ architecture limitations.Votes: 0GitHub stars: 3
- Lean Quantum Formal VerificationAI-assisted formal verification methodology for quantum information theory using Lean 4 theorem proverVotes: 0GitHub stars: 3
- Lie Algebra Quantum Control InterpolationLie algebra-based quantum optimal control interpolation methodology. Combines Lie group theory with feed-forward neural networks to generate quantum optimal control pulses for arbitrary unitary operations, bypassing explicit optimization at inference time. Demonstrated on superconducting qubits (2-4 qubits) and applied to Trotter propagators for neutrino collective flavor oscillations. Use when: quantum control pulse generation, scalable quantum simulation, Lie group control, neural network c...Votes: 0GitHub stars: 3
- Lightstim Qec Protocol EvaluationLightStim framework for automated QEC protocol evaluation and prototyping with automated Detector Error Model (DEM) construction. Solves the manual DEM annotation bottleneck that limits QEC evaluation to simple memory experiments. Uses concurrent circuit compilation and DEM generation via Pauli frame tracking. Activation: LightStim, QEC protocol evaluation, DEM construction, detector error model, quantum error correction prototyping, fault-tolerant evaluation.Votes: 0GitHub stars: 3
- Limited Memory Quantum TestingStabilizer 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 testing-vs-learning separation.Votes: 0GitHub stars: 3
- Llm Agentic Quantum Application GenerationMulti-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.Votes: 0GitHub stars: 3
- Llm Evolved Quantum EncodingLLM-driven evolutionary program synthesis for quantum error-correcting code discovery. Uses language model to mutate constructor programs, external verifier to score results, and iterative search to discover interpretable quantum encoding schemes with improved code distance and resource efficiency.Votes: 0GitHub stars: 3
- Llm Quantum Operator AlignmentAlign Large Language Models with quantum operator representations (unitary matrices). Enables LLMs to reason about quantum circuits, predict operator properties, and bridge natural language with quantum mechanics. Use when: translating quantum operators to/from natural language, analyzing LLM understanding of quantum mechanics, designing quantum-classical interfaces, or building LLM-assisted quantum circuit optimization tools.Votes: 0GitHub stars: 3
- Logarithmic Negativity Entanglement CostLogarithmic negativity as exact entanglement cost methodology — proving logarithmic negativity equals the exact entanglement cost for typical quantum states. Use when analyzing quantum entanglement quantification, entanglement cost computation, quantum resource theory, or logarithmic negativity measures.Votes: 0GitHub stars: 3
- Logarithmic Negativity Entanglement CostQuantum 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.Votes: 0GitHub stars: 3
- Logical Catalyst Dyadic PhaseSurface-code cultivation protocol for reusable logical catalyst states implementing exact fine dyadic phase gates Z^{2^{-b}} by phase kickback in fault-tolerant quantum computingVotes: 0GitHub stars: 3
- Low Rank Hessian Quantum ControlLow-rank Hessian optimization methodology for quantum optimal control calibration. Uses Hessian eigenanalysis to identify principal error directions in high-dimensional gate waveforms, optimizing only in that subspace via closed-loop feedback. Applicable to neutral atom, superconducting, and trapped-ion qubit platforms.Votes: 0GitHub stars: 3
- Low Rank Hessian Quantum Gate CalibrationLow-rank Hessian optimization methodology for calibrating high-dimensional optimal-control quantum gates. Identifies principal waveform directions affecting fidelity using Hessian sensitivity analysis, enabling efficient closed-loop experimental feedback calibration. Achieves raw fidelity 0.9959 and postselected fidelity 0.9990 on amplitude-robust CZ gates for neutral atom qubits. Use when: (1) Calibrating optimal-control quantum gates, (2) Reducing calibration parameter space dimensionality,...Votes: 0GitHub stars: 3
- Many Body Neutrino Quantum SimulationMethodology for simulating collective neutrino oscillations using quantum computing — comparing quantum kinetic frameworks with many-body Hamiltonian calculations, analyzing Trotter error scaling, and designing efficient fermion-to-qubit encodings for astrophysical quantum simulations. arXiv:2606.12404Votes: 0GitHub stars: 3
- Mbse Quantum Network ArchitectureModel-Based Systems Engineering (MBSE) methodology for evolving quantum network architectures. Uses Orthogonal Variability Modeling (OVM) and SysML for traceable, modular quantum system design.Votes: 0GitHub stars: 3
- Mcts Quantum EncodingMonte Carlo Tree Search (MCTS) methodology for discovering optimal data encoding circuits for quantum-classical neural networks, using effective rank as a performance predictor.Votes: 0GitHub stars: 3
- Measurement Geometry Quantum RacMeasurement geometry methodology for Quantum Random Access Codes (QRACs) — beyond Nayak bound optimality analysis. Covers encoding N classical bits into M qubits with single-bit recovery, measurement geometry characterization, and optimality bounds.Votes: 0GitHub stars: 3
- Medical Quantum DiagnosisDesign and implement hybrid quantum-classical machine learning systems for medical diagnosis and healthcare applications. Covers feature fusion strategies (SHF/DHF/TSHF), HQNN architectures, and clinical deployment patterns.Votes: 0GitHub stars: 3
- Mesoscopic Quantum Graph StatisticsMesoscopic 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 measureVotes: 0GitHub stars: 3
- Metabolic Quantum Limit Brain ImagingQuantum-metabolic bounds on information capacity of noninvasive brain imaging (arXiv:2511.06401)Votes: 0GitHub stars: 3
- Metabolic Quantum MegMetabolic quantum limit methodology for magnetoencephalography - deriving technology-independent bound on brain information capacity using energy resolution and Planck's constantVotes: 0GitHub stars: 3
- Metrological Quantum Reservoir NetworksQuantum reservoir computing methodology using metrologically useful state preparation via unitary operations to enhance predictive performance on chaotic systems. Combines classical autoencoders with quantum metrology techniques in QRC pipelines.Votes: 0GitHub stars: 3
- Model Predictive Quantum ControlModel Predictive Control (MPC) methodology applied to quantum state preparation and quantum system control. Combines system identification with receding-horizon optimization for robust quantum operations under noise and uncertainty.Votes: 0GitHub stars: 3
- Module Lattice SecurityModule lattice security methodology for post-quantum cryptography. Covers unconditional verification of Weber's conjecture, Principal Ideal Problem solvability, Ring-LWE and Module-LWE security reductions, and cyclotomic field arithmetic. Combines computational number theory (Fukuda-Komatsu sieve, Herbrand's theorem) with lattice-based cryptographic security analysis. Activation: module lattice security, Weber conjecture, Ring-LWE, Module-LWE, post-quantum cryptography, lattice cryptography, ...Votes: 0GitHub stars: 3
- Monitored Chaotic Scattering RmtMonitored chaotic scattering methodology extending random matrix theory (RMT) of chaotic scattering to quantum dots with time-resolved measurements. Constructs Kraus operator ensembles from circular ensembles, derives discrete-time quantum master equations for monitored charge transfer. Applicable to quantum transport, open quantum systems, and mesoscopic physics.Votes: 0GitHub stars: 3
- Monitored Clifford PurificationUniversal purification dynamics of monitored Clifford circuits methodology — shows purification reduces to exactly solvable Markovian death process, bypassing replica trick. Computes universal scaling functions for all Renyi entropies.Votes: 0GitHub stars: 3
- Mpe Adam Qaoa OptimizationMPE-Adam methodology — multi-population evolutionary search with Adam refinement for QAOA parameter optimization. Use when optimizing variational quantum algorithm parameters, addressing barren plateaus, or designing hybrid quantum-classical optimization workflows.Votes: 0GitHub stars: 3
- Multiple Quantum Hypothesis TestingDimension-free one-shot bounds for multiple quantum state discrimination with sharp asymptoticsVotes: 0GitHub stars: 3
- Naimark Qnn Measurement CircuitsQuantum measurement circuit design comparing Naimark extension, hybrid Naimark-QNN, and fully QNN approaches for optimal state discrimination with fewer training iterations.Votes: 0GitHub stars: 3
- Nested Loop Variational Quantum SolverDual-level trainable variational quantum solver methodology for interior-point optimal power flow (OPF) — uses early solver-generated trajectories to accelerate convergence, reducing variational updates by up to 95%. Combines VQLS parameter trajectory projection with IPM central path projection. Activation: nested-loop variational, trajectory-informed quantum solver, quantum interior-point method, VQLS acceleration, quantum OPF, dual-level trainable quantum, variational quantum linear solver ...Votes: 0GitHub stars: 3
- Neural Network Pruning Via Qubo Optimization**arXiv ID:** 2604.05856 **Authors:** Osama Orabi, Artur Zagitov, Hadi Salloum, Viktor A. Lobachev, Kasymkhan Khubiev, Yaroslav Kholodov **Published:** 2026-04-07T13:16:40Z **Abstract:** Neural network pruning can be formulated as a combinatorial optimization problem, yet most existing approaches rely on greedy heuristics that ignore complex interactions between filters. Formal optimization methods such as Quadratic Unconstrained Binary Optimization (QUBO) provide a principled alternative but...Votes: 0GitHub stars: 3
- No Go Gaussian Quantum RepeatersNo-go theorem for Gaussian quantum repeaters — proves that Gaussian operations with homodyne measurements and classical communication cannot enhance quantum capacity of pure-loss channels beyond direct transmission, using fractional extendibility framework.Votes: 0GitHub stars: 3
- No Reference Free Generalization QmlFramework for enabling reference-free generalization in quantum machine learning — establishes sufficient conditions under which quantum learners can generalize without preferred basis, measurement frame, or orienting structure. Use when designing quantum ML models that must generalize to unseen quantum states, when addressing the identifiability problem in quantum learning, or when building basis-independent quantum classifiers.Votes: 0GitHub stars: 3
- No Signaling Quantum Games Operator AlgebraOperator-algebraic methodology for analyzing no-signaling values in two-prover quantum games using tensor norms in operator spacesVotes: 0GitHub stars: 3
- Noise Aware Quantum Ldpc SynthesisNoise-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.Votes: 0GitHub stars: 3
- Non Abelian Anyon Proliferation Stat MechStatistical mechanics and symmetry methodology for analyzing stability of non-Abelian topological order under wavefunction deformations and decoherence. Maps topological order instability to stat-mech models whose symmetries expose corrupting anyonic excitations.Votes: 0GitHub stars: 3
- Non Gibbs Quantum StatsAnalysis of non-Gibbs quantum states in strongly interacting open quantum systems. Covers Redfield master equation, non-secular terms, bath-induced coherences, and conditions for deviation from Boltzmann thermal equilibrium. Based on arXiv:2606.00239.Votes: 0GitHub stars: 3
- Non Isometric Qec TheoryGeneral theory of non-isometric quantum error-correcting codes using approximate QEC framework. Quantifies fundamental limitations imposed by non-isometric encodings on QEC accuracy and logical operation implementation. Applied to GKP and tiger codes under energy constraints, with implications for holography. (arXiv: 2606.13559)Votes: 0GitHub stars: 3
- Nonmarkovian Quantum Feedback ControlMethodology for non-Markovian quantum systems under continuous measurement-based feedback using projection operator stochastic equations, where previously deterministic terms become stochastic ones depending on measurement records.Votes: 0GitHub stars: 3
- Operator Algebra Quantum StatisticsOperator algebra framework for quantum statistics causality analysis. Non-positive statistical elements as fundamental components of quantum causality description. Explains entanglement, teleportation, and cloning through operator formalism.Votes: 0GitHub stars: 3
- Operator Frame Geometry Non Compact QuantumOperator-frame geometry framework for non-compact bosonic quantum systems where vacuum instability renders conventional state-space quantum geometry ill-defined (arXiv: 2607.06994)Votes: 0GitHub stars: 3
- Partially Blind Single Qubit ClassificationPartially-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 classifications. Activation: partially-blind classification, PB-SQC, blind quantum classification, quantum-secured ML, delegated quantum computation, SQC with privacyVotes: 0GitHub stars: 3
- Particle Preserving Fermionic ShadowsClassical shadow estimation for fermionic states with mode-independent sample complexity. Improves worst-case bound for Slater determinant overlap estimation from O(√n log n) to O(η log η), using harmonic analysis on AIII symmetric space.Votes: 0GitHub stars: 3
- Pauli Propagation Error MitigationHybrid quantum-classical error mitigation framework embedding Pauli propagation with noise-canceling inverse channels. Use when mitigating errors in observable estimation on NISQ processors, combining classical simulation (Pauli propagation) with quantum hardware measurements, or extending observable estimation beyond classical/quantum limits alone. Activation: Pauli propagation, noise-canceling observable, hybrid error mitigation, quantum-centric supercomputing, observable estimation, invers...Votes: 0GitHub stars: 3