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SkillsMP ha recopilado 4114 skills de hiyenwong/ai_collection. Abre una skill para revisar su origen y sus detalles.
hiyenwong/ai_collectionMostrando 40 de 4114 skills recopiladas.
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.
Idioma del texto original: inglés
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…
Idioma del texto original: inglés
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.
Idioma del texto original: inglés
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…
Idioma del texto original: inglés
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…
Idioma del texto original: inglés
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…
Idioma del texto original: inglés
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…
Idioma del texto original: inglés
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…
Idioma del texto original: inglés
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…
Idioma del texto original: inglés
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…
Idioma del texto original: inglés
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…
Idioma del texto original: inglés
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…
Idioma del texto original: inglés
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…
Idioma del texto original: inglés
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.
Idioma del texto original: inglés
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…
Idioma del texto original: inglés
Symmetry exploitation methodology for quantum reservoir computing - observable-orbit completion aligning encoding, dynamics, measurement, and readout for symmetric tasks
Idioma del texto original: inglés
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…
Idioma del texto original: inglés
ReContext framework — recursive evidence replay for long-context reasoning, mapping LLM attention to associative memory mechanisms from neuroscience
Idioma del texto original: inglés
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,…
Idioma del texto original: inglés
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…
Idioma del texto original: inglés
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…
Idioma del texto original: inglés
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…
Idioma del texto original: inglés
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,…
Idioma del texto original: inglés
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.
Idioma del texto original: inglés
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.
Idioma del texto original: inglés
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.
Idioma del texto original: inglés
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.…
Idioma del texto original: inglés
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…
Idioma del texto original: inglés
Mean-field theory bridging microscale synaptic motifs to macroscale heterogeneous population dynamics in neural networks
Idioma del texto original: inglés
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…
Idioma del texto original: inglés
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,…
Idioma del texto original: inglés
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…
Idioma del texto original: inglés
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:…
Idioma del texto original: inglés
Role-typed credit assignment framework for agentic reinforcement learning that addresses outcome-only credit blind spots
Idioma del texto original: inglés
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…
Idioma del texto original: inglés
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…
Idioma del texto original: inglés
Magic Rényi entropy methodology unifying quantification of nonstabilizerness and non-Gaussianity across spins, bosons, and fermions using conformal field theory analysis.
Idioma del texto original: inglés
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…
Idioma del texto original: inglés
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).
Idioma del texto original: inglés
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…
Idioma del texto original: inglés