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SkillsMP has collected 4,114 skills from hiyenwong/ai_collection. Open a skill to review its source and details.
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FPQC-SAC methodology — Parameterized Quantum Circuit (PQC) integrated with Soft Actor-Critic (SAC) for financial reinforcement learning under low signal-to-noise ratio (SNR) conditions. Places PQC before actor/critic networks to constrain features, using…
Generalized two-qubit Hamiltonian methodology for Projective Quantum Feature Maps (PQFMs) — unified feature encoding through local Pauli fields and pairwise interactions with statistical benchmarking on NISQ hardware.
Control system architecture for LLM-written experimental control code on quantum hardware, enforcing formal per-operation safety boundaries between human authorization and autonomous agent decisions.
Hybrid quantum-fuzzy knowledge representation system. Combines dense embeddings with ontologies to simultaneously accommodate probabilistic and crisp inference in the same representation, implemented through quantum-neural networks (QNN).
Intervention-Aware Variational Quantum Differentiable Predictive Control (IA-VQC-DPC) methodology for safe quantum policy learning with safety attribution.
Intrinsic locality dimension methodology for quantum error-correcting codes. Measures code locality independent of background geometry. Use when: quantum code analysis, stabilizer code design, quantum error correction, topology-geometry relationships in QEC.
Scalable 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…
Lattice patch structure for fixed-frequency transmon quantum computers enabling high-fidelity CNOT gates while overcoming QCQ architecture limitations.
LLM-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…
Align 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…
Surface-code cultivation protocol for reusable logical catalyst states implementing exact fine dyadic phase gates Z^{2^{-b}} by phase kickback in fault-tolerant quantum computing
Methodology 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…
Measurement 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.
Design 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.
Module 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…
MPE-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…
Framework 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…
Operator-algebraic methodology for analyzing no-signaling values in two-prover quantum games using tensor norms in operator spaces
Statistical 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…
General 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…
Operator 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.
Classical 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.
Hybrid 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…
Necessary and sufficient conditions for universal quantum gates using Pauli strings. Provides a Lie algebraic framework (su(2^n) generation criterion) for determining when a set of Pauli string Hamiltonians achieves universal quantum computation.…
Methodology for exploiting permutation asymmetry in randomized Bell tests to enhance nonlocality detection and reveal measurement-choice correlations.
Design physically motivated variational ansätze for open quantum systems using unitary coupled cluster approaches adapted for Lindblad dynamics. Addresses barren plateau problems in variational quantum algorithms by incorporating physical structure into…
NIST-standard PQC migration (ML-KEM + ML-DSA) for pharmacovigilance and healthcare data systems. Use when designing post-quantum security for adverse event reporting, clinical observation systems, or any healthcare pipeline handling sensitive patient data…
PUBO formulation for Minimum Spanning Tree using FALQON quantum optimization methodology. Reformulates MST as Polynomial Unconstrained Binary Optimization without auxiliary variables, reducing qubit requirements. Use when solving graph optimization problems…
Q-READY methodology for predictive feasibility assessment of hybrid quantum-classical applications. Use when evaluating whether a computational problem can benefit from quantum acceleration, designing hybrid quantum-classical workflows, or assessing quantum…
Feasibility-driven QAOA with penalty scheduling. Introduces Λ-lr-QAOA (per-penalty linear-ramp schedules) and piecewise-ramp QAOA (two-segment piecewise schedules) for constrained optimization. Promotes penalty weights from external hyperparameters to…
Hybrid QAOA-QRL methodology for vehicle routing optimization — integrating QAOA mixing/cost Hamiltonian layers into reinforcement learning policy networks for combinatorial logistics optimization.
Quantum Conditional Mutual Information (QCMI) methodology for establishing optimal quantum communication rates with assisted correlation. Shows the optimal rate for establishing quantum correlation between two parties, assisted by a third system, is given by…
Generalization error bounds for quantum machine learning in NISQ era. Systematic mapping study covering quantum hardware, datasets, optimization techniques, and noise-aware generalization theory. Activation: generalization bound, NISQ QML, quantum ML…
Quantum Measurement Temperature (QMT) methodology for mitigating measurement-induced training instability in hybrid QNN classifiers. Introduces learnable scaling parameter to rescale quantum measurement outputs, improving gradient magnitude and preventing…
Quantum-Native Reinforcement Learning (QnRL) methodology — distributional RL framework that learns conditional distributions in Hilbert space via superimposed and entangled quantum states using the Quantum Amplitude Kickback (QuAK) algorithm. Achieves up to…
Quantum-Native Reinforcement Learning (QnRL) methodology for distributional RL using quantum state representations
Hybrid quantum predicate classifier for long-tailed scene graph generation. Replaces classical predicate head with QP-Head using amplitude embedding + strongly entangling layers.
QT-PUF: Quantum tunneling leakage-based physical unclonable function for implantable IoMT devices. Gate leakage PUF using process-induced CMOS variations with differential readout circuit. Entropy 0.9999998, power 96.04 nW/bit. Use when designing…
Compression-driven anomaly detection methodology using quantum autoencoders (QAE) for brain MRI and medical imaging. Maps data to quantum states via angle encoding, trains variational encoder-decoder to compress normal data while discarding to trash qubits.…
Reservoir-independent lossless charging methodology for open quantum batteries using counterdiabatic field cancellation in driven three-level cells.