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hiyenwong/ai_collection収集済み skill 4,114 件中 40 件を表示しています。
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…
原文の言語: 英語
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.
原文の言語: 英語
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.
原文の言語: 英語
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).
原文の言語: 英語
Intervention-Aware Variational Quantum Differentiable Predictive Control (IA-VQC-DPC) methodology for safe quantum policy learning with safety attribution.
原文の言語: 英語
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.
原文の言語: 英語
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…
原文の言語: 英語
Lattice patch structure for fixed-frequency transmon quantum computers enabling high-fidelity CNOT gates while overcoming QCQ architecture limitations.
原文の言語: 英語
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…
原文の言語: 英語
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…
原文の言語: 英語
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
原文の言語: 英語
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…
原文の言語: 英語
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.
原文の言語: 英語
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.
原文の言語: 英語
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…
原文の言語: 英語
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…
原文の言語: 英語
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…
原文の言語: 英語
Operator-algebraic methodology for analyzing no-signaling values in two-prover quantum games using tensor norms in operator spaces
原文の言語: 英語
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…
原文の言語: 英語
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…
原文の言語: 英語
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.
原文の言語: 英語
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.
原文の言語: 英語
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…
原文の言語: 英語
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.…
原文の言語: 英語
Methodology for exploiting permutation asymmetry in randomized Bell tests to enhance nonlocality detection and reveal measurement-choice correlations.
原文の言語: 英語
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…
原文の言語: 英語
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…
原文の言語: 英語
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…
原文の言語: 英語
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…
原文の言語: 英語
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…
原文の言語: 英語
Hybrid QAOA-QRL methodology for vehicle routing optimization — integrating QAOA mixing/cost Hamiltonian layers into reinforcement learning policy networks for combinatorial logistics optimization.
原文の言語: 英語
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…
原文の言語: 英語
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…
原文の言語: 英語
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…
原文の言語: 英語
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…
原文の言語: 英語
Quantum-Native Reinforcement Learning (QnRL) methodology for distributional RL using quantum state representations
原文の言語: 英語
Hybrid quantum predicate classifier for long-tailed scene graph generation. Replaces classical predicate head with QP-Head using amplitude embedding + strongly entangling layers.
原文の言語: 英語
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…
原文の言語: 英語
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.…
原文の言語: 英語
Reservoir-independent lossless charging methodology for open quantum batteries using counterdiabatic field cancellation in driven three-level cells.
原文の言語: 英語