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Claude Skills by hiyenwong
github.com/hiyenwong9,934 skills5 installs19,223 views
- Quantum Systems Engineering ApproachSystems engineering methodology for quantum processor design. Integrates hardware architecture, control software, error correction, and resource management into a unified engineering framework. Covers scalability, reliability, and performance optimization for quantum systems.Votes: 0GitHub stars: 3
- Quantum Systems EngineeringSystems engineering patterns for quantum computing systems. Covers hybrid quantum-classical architecture design, distributed quantum computing, robust quantum control systems, and quantum system modeling. Use when designing quantum computing systems, analyzing distributed quantum architectures, or implementing robust control for quantum hardware. Also covers: dissipative thermal state preparation with error bounds, analytical two-pulse molecular qubit control, adaptive feedback for bistable q...Votes: 0GitHub stars: 3
- Quantum Temporal Equity PredictionQuantum Temporal Convolutional Neural Network (QTCNN) methodology for cross-sectional equity return prediction combining classical temporal encoders with quantum convolution circuits.Votes: 0GitHub stars: 3
- Quantum Thermal Logic GatesMethodology for designing quantum thermal logic gates using coupled quantum-dot systems with heat current as the computational signal, enabling one-to-one correspondence with classical electronic logic gates in nano-electronic quantum circuits.Votes: 0GitHub stars: 3
- Quantum Tomography RetrodictionMethodology connecting quantum state tomography and quantum retrodiction through the Petz recovery map. Shows Petz map is precisely the gradient update of log-likelihood in maximum-likelihood tomography. Includes noncommutative generalization for arbitrary quantum channels. Use for quantum state estimation, quantum error correction, quantum metrology, or measurement channel recovery.Votes: 0GitHub stars: 3
- Quantum Topology Information ScramblingGraph-theoretic methodology for analyzing quantum information scrambling and chaos diagnostics via OTOCs across network topologies (path, Erdos-Renyi, Watts-Strogatz). Combines information theory with quantum many-body physics.Votes: 0GitHub stars: 3
- Quantum Trace Maps 3d3D Quantum Trace Map methodology — homomorphism from skein modules of triangulated 3-manifolds to quantum gluing modules, unifying constructions by Garoufalidis-Yu and Panitch-Park.Votes: 0GitHub stars: 3
- Quantum Typicality Gauge ConstraintsMethodology for analyzing quantum typicality under non-Abelian gauge constraints using SU(2) lattice gauge theory. Proves that typical mutual information between disjoint subsystems matches exact parameter-free analytical predictions. Use when studying emergent spacetime, gauge theory entanglement, or typicality in constrained Hilbert spaces.Votes: 0GitHub stars: 3
- Quantum Verifiable Blind ComputingComparative analysis and design framework for verifiable blind quantum computing (VBQC) client architectures. Covers emission-based, measurement-based, and rotation-based client designs with single-server, single-client protocols using measurement-based quantum computation. Evaluates security proofs, protocol execution rates, error behavior, and hardware cost trade-offs. Activation: verifiable blind quantum computing, VBQC client architecture, blind quantum computation, quantum client design,...Votes: 0GitHub stars: 3
- Quantum Witness Expansion FrameworkWitness Expansion framework for unified quantum resource detection. Constructs nonlinear criteria for detecting quantum resources via polynomial functions of target states. Use when analyzing quantum resources like coherence, entanglement, magic states, or fermionic non-Gaussianity. Covers l2 coherence, partial-transpose moments, stabilizer entropy.Votes: 0GitHub stars: 3
- Quantum Witness ExpansionWitness Expansion framework for unified quantum resource detection. Constructs nonlinear criteria for detecting quantum resources (coherence, entanglement, magic, non-Gaussianity) associated with a group of free unitaries. Applies to both pure and mixed states via polynomial functions estimable from multiple state copies. Use when: detecting quantum resources, constructing entanglement witnesses, benchmarking quantum devices, analyzing stabilizer entropy, fermionic non-Gaussianity, or mixed-s...Votes: 0GitHub stars: 3
- Qubit Assisted Heisenberg MetrologyCriterion for qubit-assisted quantum metrology achieving Heisenberg scaling. Probe-ancilla coupling design for optimal parameter estimation, temperature-enhanced sensitivity, and finite-temperature Heisenberg scaling.Votes: 0GitHub stars: 3
- Qubo Alns Hurricane RestorationQuantum Inspired QUBO Assisted ALNS framework for reliability-driven hurricane restoration of distribution networks. Combines quantum-inspired quadratic unconstrained binary optimization with adaptive large neighborhood search for power grid repair scheduling. Use when optimizing post-disaster power system restoration with crew logistics, feeder topology, and electrical feasibility constraints.Votes: 0GitHub stars: 3
- Qubo Hybrid Optimization SchedulingQUBO-based hybrid quantum-classical optimization methodology for coordinated scheduling problems. Formulates time-dependent operational constraints as quadratic unconstrained binary optimization, then solves with quantum annealing validated by classical simulation. Use when formulating scheduling/assignment problems for quantum optimization, building hybrid quantum-classical solvers, or modeling time-dependent constraints in QUBO form.Votes: 0GitHub stars: 3
- Quctrl Bell Compiler Quantum ControlCompiler-driven sub-microsecond feedback control stack for scalable trapped-ion quantum experiments. Covers Python-embedded DSL, six-stage transpilation pipeline (CFG, SSA, liveness, register allocation), cross-board synchronization with <700ns latency, and deterministic distributed board-level programs.Votes: 0GitHub stars: 3
- Qutuner Compiler OptimizationFeature- and learning-guided quantum compiler pass tuning methodology — moves beyond static circuit features to capture how circuits react to compiler optimizations, enabling more effective pass sequence selection.Votes: 0GitHub stars: 3
- Random Dimension Reduction Quantum LearningRandom dimension reduction procedure for quantum states that reduces dimensions while preserving properties invariant under tensor power action of isometries. Provides black-box method to replace dimension with max rank in sample complexity for learning symmetric properties, including multi-state estimation of distances, fidelities, and relative entropies.Votes: 0GitHub stars: 3
- Random Grover SearchRandomized Grover search algorithm methodology that directly uses confidence-based sampling rather than amplitude amplification.Votes: 0GitHub stars: 3
- Random Projection Quantum AlgorithmsRandom projections framework for multi-copy quantum algorithms — estimating nonlinear properties of quantum states (multivariate traces, Rényi entropies) with reduced coherent operations. Use when designing multi-copy quantum algorithms, estimating nonlinear observables, or reducing circuit depth for state characterization.Votes: 0GitHub stars: 3
- Ravine Quantum Cost LandscapeRavine analysis framework for quantum cost landscapes — exploiting ravine structures for improved VQA optimization. Use when analyzing VQA convergence, diagnosing optimization failures, or improving quantum circuit parameter optimization.Votes: 0GitHub stars: 3
- Real Time Qec System StackReal-time Quantum Error Correction (QEC) system stack architecture and engineering methodology. Six-layer reference architecture from syndrome acquisition to logical operations with latency budget modeling.Votes: 0GitHub stars: 3
- Reduced Basis Quantum Ode SolverReduced Basis Algorithm (RBA) methodology for solving polynomial nonlinear ODEs and PDEs on quantum computers. Converts nonlinear dynamics into linear RBA operators via reduced monomial basis construction. Use when: implementing quantum algorithms for nonlinear differential equations, solving ODEs/PDEs on quantum hardware, analyzing qubit requirements for quantum scientific computing, or composing timestep update maps for quantum simulation.Votes: 0GitHub stars: 3
- Riscv Quantum Control ProcessorRISC-V vector extension architecture for scalable quantum control processors (QCP) with 128-qubit single-instruction addressing, halt-resume mid-circuit measurement protocol, and parameterized rotation support.Votes: 0GitHub stars: 3
- Risk Averse Ensemble Quantum ControlRisk-averse ensemble control methodology for control-affine systems with uncertainty — provides rigorous treatment beyond expectation-based optimization, with applications in quantum control and Neural ODE training.Votes: 0GitHub stars: 3
- Rl List Sequential Qldpc DecodingReinforcement learning-based list sequential belief propagation decoder for QLDPC codes — extends RL-S scheduling with list-based branch exploration for improved decoding convergence.Votes: 0GitHub stars: 3
- Robust Quantum Control SystemsRobust quantum control systems engineering methodology combining H-infinity control, sliding mode control, and reliability analysis for quantum systems. Covers quantum feedback control, uncertainty modeling, and fault-tolerant quantum system design.Votes: 0GitHub stars: 3
- Robust Steerability ClassificationRobust quantum steerability classification methodology using key feature extraction and matrix-structure-preserving CNNs. Solves generalization failure of SVMs/MLPs on T-diagonal and AVN states. Two-stage approach: extract steerability-determining key features (invariant under SLOCC/LU), preserve 2D matrix structure of quantum states for CNN input. Validated on Phys. Rev. A 100, 022314 dataset. Use when: building quantum state classifiers, quantum entanglement verification, quantum steerabili...Votes: 0GitHub stars: 3
- Room Temp Quantum CoherenceRoom-temperature coherent dipole synchronization in plasmonic nanocavity arrays. Driven-dissipative quantum system exhibiting spatial coherence without temporal photon coherence, enabling ambient-operation quantum technologies. Use when designing room-temperature quantum devices, plasmonic nanocavity systems, driven-dissipative synchronization platforms, or Purcell-enhanced quantum emitters. Activation: room temperature quantum, plasmonic nanocavity, dipole synchronization, driven-dissipative...Votes: 0GitHub stars: 3
- Routing Anonymity Quantum CloudFormal framework for backend identifiability and routing anonymity in quantum cloud services with utility-anonymity trade-offs.Votes: 0GitHub stars: 3
- Rubriq Grpo Quantum Circuit SynthesisRubric-Guided GRPO for Constraint-Aware Quantum Circuit Synthesis. LLM-based quantum circuit generation optimized via Group Relative Policy Optimization with domain-grounded programmatic rubrics for T-gate reduction, hardware topology compliance, and unitary fidelity. Use when: synthesizing fault-tolerant quantum circuits, optimizing T-gate counts, generating hardware-compatible circuits, RL-based quantum compilation, LLM-guided quantum code generation, or constraint-aware quantum circuit des...Votes: 0GitHub stars: 3
- Safety Critical Quantum ControlSafety-critical control framework for quantum systems with formal guarantees. Combines control barrier functions with quantum dynamics to ensure quantum states remain within safe operational regions during control operations.Votes: 0GitHub stars: 3
- Scalable Mp Quantum GnnScalable Message-Passing Quantum Graph Neural Networks methodology — building quantum GNNs with message passing, permutation equivariance, and Weisfeiler-Leman hierarchy placement. Enables pre-training on small graphs and cost-effective readout as graphs grow.Votes: 0GitHub stars: 3
- Scalable On Hardware Qnn TrainingScalable on-hardware training methodology for Quantum Neural Networks (QNNs) using linear-cost gradient estimation via block encoding + Hadamard test. Solves the quadratic parameter-shift bottleneck, enabling clinical data applications like missing patient data imputation. Use when: QNN training on quantum hardware, clinical quantum ML, gradient estimation optimization, block encoding for gradients, quantum parameter shift alternatives, healthcare quantum computing.Votes: 0GitHub stars: 3
- Scaling Laws Quantum StatesScaling laws methodology for Neural-Network Quantum States — power-law relations between loss, architecture size, and compute for characterizing the complexity of quantum many-body learning problems. Use when: analyzing NNQS complexity, benchmarking variational ansätze, transformer wave functions, frustrated quantum systems, scaling collapse in physics, variational quantum states.Votes: 0GitHub stars: 3
- Scope Qec Network ControlSyndrome-driven control plane methodology for QEC-enabled quantum networks. Routes based on logical error rate using real-time syndrome visibility instead of active tomography. Based on arXiv:2606.08873.Votes: 0GitHub stars: 3
- Score Hamiltonian Diffusion TransportScore Hamiltonian methodology mapping diffusion model sampling to adiabatic transport of quantum ground states. Use when: diffusion model analysis, score-based generative modeling, quantum potential methods, density reconstruction, adiabatic quantum computing connections to ML.Votes: 0GitHub stars: 3
- Sdp Quantum Simulability CertificationSemidefinite programming (SDP) hierarchy methodology for certifying quantum advantage — characterizing classically simulable quantum state families, computing critical visibility bounds, and constructing affine witnesses.Votes: 0GitHub stars: 3
- Seedless Di Qkd ExtractorsSeedless randomness extractors for device-independent quantum key distribution (DI-QKD). Truncation-based proof technique achieves optimal rate of one key bit per singlet without requiring initial randomness seeds. Use when implementing DI-QKD, designing quantum cryptographic protocols, evaluating privacy amplification methods, or analyzing device-independent security proofs. Activation: device-independent QKD, seedless extractor, privacy amplification, DI cryptography, randomness extraction,...Votes: 0GitHub stars: 3
- Self Modulating Quantum Fast WeightStable Self-Modulating Quantum Fast-Weight Programmers with bounded memory gates. Quantum sequence modeling using dynamically programmed variational-circuit parameters with bounded old-state modulation for long-sequence stability. Activation: quantum fast weight, QFWP, quantum sequence modeling, quantum memory gates, quantum dynamics forecasting.Votes: 0GitHub stars: 3
- Self Sifting Qkd ProtocolSelf-Sifting Quantum Key Distribution protocol using two-way entangled Bell state qubits with scrambling operator security. All sifting and eavesdropper detection postponed to Bob. Use when designing QKD protocols, quantum communication security, or analyzing ancilla-based attacks on quantum channels.Votes: 0GitHub stars: 3
- Self Sifting QkdSelf-Sifting Quantum Key Distribution methodology — a two-way QKD protocol where all sifting and eavesdropper detection are performed exclusively by the receiver, eliminating mode-dependent attack vectors and utilizing normally-discarded rounds for security verification.Votes: 0GitHub stars: 3
- Software Compensation Quantum ControlSoftware-based compensation methodology for AC-line-induced coherent errors in quantum control experiments. Uses line-triggered calibration frames to measure and compensate reproducible mains-synchronous disturbances without hardware modifications. Applicable to trapped-ion qubits, qudits, and precision quantum control. arXiv: 2606.00358Votes: 0GitHub stars: 3
- Sp2n Interferometry Quantum MetrologySp(2N,R) interferometry methodology for multi-mode Gaussian bosonic quantum metrology — exploiting symplectic group symmetry to achieve precision beyond standard quantum limit. Covers optimal quantum control, Sp(2N,R) echo protocol, geometrical dynamics reversal, and phase estimation at QFI bounds. Use when: designing multi-mode bosonic interferometers, optimizing squeezing-displacement alignment, achieving Heisenberg-limited phase estimation in Gaussian states, or reversing many-body dynamic...Votes: 0GitHub stars: 3
- Spacetime Lifting Quantum Fault ToleranceSpacetime lifting methodology for constructing low-overhead quantum fault complexes. Uses homological algebra and symmetry-reduced product structures to achieve almost-linear fault distance scaling in total spacetime cost.Votes: 0GitHub stars: 3
- Spacetime Requirements QuantumSpacetime Formation under Requirements framework — contextual realization and form-dependent probability for quantum cognition. Proposes quantum probability as fixed-spacetime projection of contextual spacetime formation under finite-state requirements, starting from requirements rather than time/space/objects. Use when: quantum cognition foundations, contextual probability, spacetime emergence in AI, form-dependent probability models, order effects in cognition, contextuality in decision mak...Votes: 0GitHub stars: 3
- Sparsified Kan Quantum TomographySparsified Kolmogorov-Arnold Networks (KAN) for interpretable quantum state tomography. Uses KAN not only as a regressor but as an inspectable reconstruction rule whose internal organization can be checked against known Pauli structure. Validated on 3-qubit GHZ family with all 63 non-identity Pauli expectation values. arXiv:2606.11814Votes: 0GitHub stars: 3
- Spatial Superposition Entanglement GenerationMethodology for generating entanglement during distribution by exploiting spatial superposition of noisy communication links — transforming quantum noise into a constructive resourceVotes: 0GitHub stars: 3
- Spatially Coupled Quantum CodesSpatial coupling methodology for quantum LDPC/CSS codes. Proves that belief-propagation decoding on spatially coupled CSS codes (MN/HA-type) achieves the quantum erasure hashing bound. Uses coupled-vector potential method and density evolution analysis to show BP threshold equals MAP threshold.Votes: 0GitHub stars: 3
- Spectral Born MachinesQuantum generative models using group Fourier analysis for discrete data with classical trainability at scale (arXiv: 2607.06675)Votes: 0GitHub stars: 3
- Spectral Fusion Quantum State TransferSpectral Fusion methodology for identifying Early State Exclusion (ESE) in symmetric quantum spin chains. Uses Jacobi matrix eigenvalue distributions and eigenvector symmetry properties to analyze perfect state transfer dynamics. Applicable to quantum information transport, spin chain design, and quantum network routing.Votes: 0GitHub stars: 3