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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。
High-performance NTT accelerator design for post-quantum cryptography (PQC). Novel redundant number representation eliminates conditional corrections for Montgomery modulo multiplication and combined subtract-multiply operations.
原文の言語: 英語
Methodology for provably optimal generation of non-Gaussian quantum states (squeezed cat states) via photon catalysis, characterized using stellar rank formalism — enables systematic comparison of fidelity against theoretical maximum for given non-Gaussian…
原文の言語: 英語
Pauli noise symmetry analysis from Lindbladian dynamics methodology. Characterizes gate noise channels by exploiting physical symmetry constraints on Pauli fidelities, enabling efficient noise characterization despite SPAM gauge limitations.
原文の言語: 英語
Security framework for analyzing distributed attacks in persistent-state AI control. Addresses attack surfaces created by AI coding agents that ship code iteratively across PRs, including gradual attack distribution, monitor evasion strategies, and stateful…
原文の言語: 英語
Physical Neural Networks (PNNs) require nonlinearity, signal amplification, and suppression for learning. Shows through simulation that nonlinearity alone is insufficient for meaningful computation in physical computing paradigms. Presents physically…
原文の言語: 英語
Post-Quantum Cryptography (PQC) integration pattern for Federated Learning (FL) in Internet of Medical Things (IoMT) environments. Covers edge-native orchestration, PQC key establishment, distributed cryptographic processing, and Kubernetes-based scalable…
原文の言語: 英語
PQC-HOT framework for post-quantum cryptography implementation in software systems. Analyzes PQC migration through Human, Organisation, and Technology dimensions. Use when implementing post-quantum cryptography, PQC migration, quantum-safe security…
原文の言語: 英語
Training Predictive Coding Networks on ImageNet using Equilibrium Propagation. Biologically plausible training framework for PCNs achieving near-backpropagation performance. Use when: (1) Training predictive coding networks at scale, (2) Implementing…
原文の言語: 英語
Program-as-Weights (PAW) paradigm for fuzzy function programming. Compile natural-language specifications into compact, locally-executable neural artifacts using parameter-efficient adapters for frozen interpreters. Achieves 32B-level performance at 1/50…
原文の言語: 英語
Programmable dissipation methodology for quantum error correction — treating the QEC cycle as a programmable primitive that turns logical noise into a calibrated resource rather than an adversary. One fault-tolerant round induces a logical completely positive…
原文の言語: 英語
Anthropic research (Jun 18, 2026) — Project Fetch phase two showing Claude Opus 4.7 autonomously completing robotic quadruped tasks 20x faster than the fastest human team, revealing the progression pattern from "models helpful to humans" → "humans helpful to…
原文の言語: 英語
Predict-Reuse-Repair (PRR) runtime for accelerating dynamic sparse attention in long-context LLM decoding. Speculates attention over predicted KV blocks while selection is in flight, then incrementally repairs missed blocks. Reduces per-token decoding latency…
原文の言語: 英語
Proximal Wavefunction Optimization (PWO) methodology for training Neural Quantum States using trust-region optimization. Clips probability-ratio changes in amplitude and phase channels, scales NQS training to billion-parameter models without explicit matrix…
原文の言語: 英語
Quantum autoencoder (QAE) for compression-driven anomaly detection in brain MRI data - angle encoding into quantum states, variational encoder-decoder with trash qubits, achieving 0.95 slice-level ROC-AUC.
原文の言語: 英語
Practical countermeasure methodology against QKD attacks exploiting detection efficiency mismatch, including time-shift attacks. Uses temporal filtering and detector calibration to ensure uniform detection probability across all degrees of freedom, preventing…
原文の言語: 英語
Symmetry exploitation methodology for quantum reservoir computing - observable-orbit completion aligning encoding, dynamics, measurement, and readout for symmetric tasks
原文の言語: 英語
Recursive Evidence Replay as LLM Harness for Long-Context Reasoning. Training-free inference method that uses model-internal relevance signals to construct query-conditioned evidence pool and replays before final generation, improving long-context reasoning…
原文の言語: 英語
ReContext framework — recursive evidence replay for long-context reasoning, mapping LLM attention to associative memory mechanisms from neuroscience
原文の言語: 英語
Distributed containment of compromised CPS agents using repulsive cages — Stackelberg game framework for UAV swarm security via collision-avoidance exploitation. Use when: designing secure multi-agent systems, UAV swarm safety, cyber-physical security,…
原文の言語: 英語
Resilient output containment control for heterogeneous multi-agent systems under actuator cyber-attacks. Two-layer adaptive control architecture combining virtual-actuator reconfiguration with network-level adaptive protocols. Handles undisclosed leader…
原文の言語: 英語
Framework for distributionally robust regret optimization (DRRO) in stochastic control systems, combining robust control with regret minimization under uncertainty. Use when designing control systems with ambiguous disturbances, robust LQR, or optimizing…
原文の言語: 英語
Finite combinatorial analogue of Gödel's incompleteness theorems within Boolean K-SAT. Proves self-referential hardness exhibits physical invariance precluding quantum shortcuts due to necessity of global semantic analysis, and delineates scaling bottleneck…
原文の言語: 英語
Complex dynamics in the Sherrington-Kirkpatrick (SK) game methodology — game-theoretic foundation for adaptive learning in disordered many-player systems with random payoff matrices. Generalizes the SK spin-glass model to game theory with random-field bias,…
原文の言語: 英語
Microsecond-precision sound localization emerges from slow equilibrium dynamics. ITD represented as stable equilibrium of neural population dynamics rather than classical Jeffress place-coding framework.
原文の言語: 英語
Free probability framework for analyzing stationary covariance spectra in discrete-time non-normal random recurrent neural networks. Provides closed-form functional equations for eigenvalue distributions and critical regime behavior.
原文の言語: 英語
Free-probability framework for deriving closed functional equations of stationary covariance spectra in discrete-time non-normal random recurrent dynamics, enabling analysis of tail eigenvalues in critical regime.
原文の言語: 英語
Short-Term Synaptic Plasticity (STP) stabilizes goal-conditioned dynamics in PFC-inspired reservoir model for multistep goal-directed action planning. Preserves action-relevant goal information under noise with 89.2% success rate vs 49.5% without STP.…
原文の言語: 英語
Structure-aware variance reduction methodology for unbiased randomized Hamiltonian simulation. Combines classical variance reduction with randomized product-formula estimators to achieve 70-96% sampling cost reductions in tensor-network simulations. Use when…
原文の言語: 英語
Mean-field theory bridging microscale synaptic motifs to macroscale heterogeneous population dynamics in neural networks
原文の言語: 英語
Mean-field theory linking microscale synaptic motifs to macroscopic heterogeneous population dynamics in neural networks. Use when studying synaptic-resolution connectomics, second-order motifs, random RNNs with cell types, or heterogeneous population…
原文の言語: 英語
Mean-field theory for heterogeneous synaptic motifs in multi-population neural networks. Bridges microscale synaptic connectivity (second-order motifs) to macroscale population dynamics. Activation: synaptic motifs, mean-field theory, heterogeneous dynamics,…
原文の言語: 英語
Thermocoherent framework for modeling information flow in neural matter. Heat flow couples to delocalized information flow carried by shared coherence. Use when: thermocoherent effects in neural systems, quantum cognition physical basis, relational resources…
原文の言語: 英語
Compute controlled invariant sets for linear discrete-time systems using trajectory-based approach with convex feasible points. Use for MPC design, control invariant set computation, feasibility guarantees, and discrete-time system analysis. Keywords:…
原文の言語: 英語
Role-typed credit assignment framework for agentic reinforcement learning that addresses outcome-only credit blind spots
原文の言語: 英語
Brain foundation models (BFMs) lose third-order statistics (co-skewness) during pretraining - variance allocation problem where billion-parameter models predict cognition worse than linear FC. Solution: preserve co-skewness subspace. Activation: brain…
原文の言語: 英語
Self-specializing Vision-Language Model agent for physics-grounded transmon chip calibration. Uses zero-weight-update online adaptation via human-readable device notes, gradient-free strategy refinement with paired-snapshot accept gate, and physics-grounded…
原文の言語: 英語
Magic Rényi entropy methodology unifying quantification of nonstabilizerness and non-Gaussianity across spins, bosons, and fermions using conformal field theory analysis.
原文の言語: 英語
PREDIKTOR: Patient-centered multi-view framework aligning personalized knowledge graphs with gene-level perturbation representations for clinical drug response prediction. Combines DysRegNet GRN construction, DrugBank integration, GNN encoding, LINCS L1000…
原文の言語: 英語
Comprehensive review of the AI-Quantum Information interface — covering AI for quantum systems (measurement, algorithm discovery, hardware stabilization) and quantum for AI (algorithmic speedups, expressivity, trainability, generalization).
原文の言語: 英語
Automated framework for synthesizing inter-code logical Clifford (CNOT/CZ) gates between arbitrary CSS quantum error-correcting codes using chain maps — recovers known transversal constructions and finds new low-depth solutions for heterogeneous QEC…
原文の言語: 英語