hiyenwong/ai_collection - Page 73

quantum-qubit-verification

Methodology for classical verification of quantum computation by testing anti-commuting operators on quantum devices.

quantum-resonance-encryption

Quantum resonance encryption methodology using quantum kicked top dynamics for secure data storage and communication. Provides perfect recovery for authorized users while making intercepted states appear mixed to eavesdroppers with built-in tampering…

quantum-state-engineering

Measurement-assisted quantum state engineering methodology for generating and manipulating squeezed Schrodinger cat states. Uses QND entangling operations with homodyne measurement for high-fidelity state preparation. Applicable to measurement-based quantum…

quantum-thermal-logic-gates

Methodology 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.

robust-steerability-classification

Robust 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…

room-temp-quantum-coherence

Room-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…

sdp-quantum-simulability-certification

Semidefinite programming (SDP) hierarchy methodology for certifying quantum advantage — characterizing classically simulable quantum state families, computing critical visibility bounds, and constructing affine witnesses.

spacetime-lifting-quantum-fault-tolerance

Spacetime 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.

spectral-fusion-quantum-state-transfer

Spectral 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…

subspace-equality-hypothesis-testing

Two-Sample Hypothesis Testing for Subspace Equality in Network Data - methodology for stat.ME; math.ST applications

tsp-quantum-preprocessing

Preprocessing methodology for combinatorial optimization (TSP and beyond) that reduces problem size by restricting candidate arcs to lowest-cost neighbors. Applicable to both classical solvers and quantum optimization frameworks (QAOA, quantum annealing).

twirled-perfect-tensor-networks

Novel class of tensor networks motivated by the Python's Lunch Conjecture, defining computationally covariant holographic tensor networks with reduced complexity for extended black brane states.

multidimensional-cv-qkd-reconciliation

Multidimensional reconciliation methodology for continuous-variable QKD with HDirac open-source simulation framework

score-matching-gradient-decomposition

Geometric decomposition of score matching errors in diffusion models using Helmholtz-Hodge decomposition. Proves that only gradient components affect marginal distribution quality, while solenoidal components are structurally invisible to Fokker-Planck…

cross-scale-spatial-generative-neurodegeneration

Cross-scale spatially-aware generative modeling for transcriptomic programs underlying neurodegenerative brain organization. Variational generative framework bridging microscale gene expression with macroscale cortical degeneration. Activation:…

Source text: Chinese

beast3d-gaussian-splatting-behavior

BEAST3D: Self-supervised 3D animal behavioral analysis and neural encoding from multi-view video via Gaussian splatting. Vision transformer predicts 3D Gaussian splats for differentiable rendering with simultaneous animal-background segmentation. Works with…

Source text: Chinese

dealer-market-competition-nash-equilibrium

Variational approach to modeling dealer market competition with internalisation and externalisation — closed-form Nash equilibrium for multi-dealer order flow competition with inventory risk management.

derivative-informed-operator-learning-finance

Derivative-informed operator learning framework for financial decision systems — matching pricing operators and Fréchet derivatives to reduce hedging error (Vega -40%, Delta -15%).

esg-joint-fragility-equity-markets

Framework for analyzing ESG's association with joint fragility in equity markets — clustered downside risk across losses, volatility spikes, and illiquidity using cofragility state detection.

long-range-dependence-financial-markets

Empirical investigation of long-range dependence (LRD) in financial markets and evaluation of deep generative models' ability to reproduce such temporal structures across equity, commodity, and energy sectors.

market-informedness-rl-market-making

Market making with heterogeneous agents and reinforcement learning — MAPPO algorithm with finite-horizon stability guarantees for Hawkes market-taker processes. Shows profitability increases with market informedness.

sgdm-eeg-visual-cognition

Structure-Guided Diffusion Model (SGDM) for EEG-based visual cognition reconstruction. Leverages brain structural information to guide diffusion process for improved visual stimulus reconstruction from EEG. Keywords: EEG, diffusion model, visual…

zenbrain-7layer-memory-architecture

ZenBrain: Neuroscience-Inspired 7-Layer Memory Architecture for Autonomous AI Systems. Seven-layer hierarchical memory with 15 integrated neuroscience models. Activation triggers: memory architecture, multi-layer memory, neuroscience-inspired AI, hippocampal…

quantum-medical-patterns

Reusable research patterns from quantum machine learning in healthcare and medical applications. Covers hybrid quantum-classical medical modeling, quantum generative models for medical imaging, quantum kernel methods for medical foundation models, and quantum…

quantum-portfolio-optimization

Quantum portfolio optimization methodologies — QAOA for higher-order moments (skewness, kurtosis), quantum annealing for mean-variance optimization, and hybrid quantum-classical pipelines for NISQ-era finance. Use when: (1) portfolio optimization with quantum…

chat-history-lancedb

LanceDB-based chat history system with message storage, semantic search, and RAG context retrieval.

ai-scientific-workflow-orchestration

AI orchestration patterns for life sciences research workflows - connecting models to databases, tools, and multi-step scientific reasoning. Based on OpenAI GPT-Rosalind architecture.

constraint-guided-execution

Constraint-guided execution pattern for interpreting natural language plans. Extracted from 'RunAgent: Interpreting Natural-Language Plans with Constraint-Guided Execution' (arXiv 2026-05-05). Applicable to agent task planning, workflow automation, and any…

gaze-behavior-annotation-toolkit

AI-powered deep-learning toolkit for automatic annotation of egocentric eye-tracking and video data of child-caregiver interaction. Supports post-hoc video synchronization, semi-automatic gaze target categorization, and behavioral coding of poses and hand…

petri-alignment-tool

Petri open-source alignment testing toolbox — an auditable, extensible framework for testing LLMs for deception, sycophancy, and cooperation with harmful requests using auditor-judge model evaluation. Donated to Meridian Labs in v3.

task-driven-codesign-multirobot

Task-Driven Co-Design (TDCD) methodology for heterogeneous multi-robot systems. Bi-level combinatorial optimization combining MILP and MCTS for robot design, fleet composition, and planning. Use for multi-agent robotics, automated logistics, co-design…

agent-memory-framework

Design and implement memory-augmented AI agents using modular architecture (extraction, update, retrieval, response). Inspired by MemFactory (arxiv:2603.29493) - unified training/inference framework for agent memory with RL-driven policy optimization (GRPO).…

ai-multi-agent-research

Methodology for coordinating multiple AI agents in autonomous research workflows. Covers parallel agent orchestration with diverse initialization, shared communication forums, independent experimentation with shared knowledge, cross-domain generalization…

alzheimer-pet-suvr-network-models

High-fidelity spatio-temporal mathematical models of Alzheimer's disease progression using 3D brain geometries and network-based connectome models, validated against PET-SUVR imaging data. Activation triggers: Alzheimer's disease, brain network modeling,…

attention-empirical-bayes-particle-dynamics

Two-stage interpretation of attention as in-context empirical Bayes inference via particle dynamics with posterior mean recovery guarantees

attention-residuals

注意力残差（AttnRes）方法论。改进 Transformer 注意力机制的残差连接。 提升模型性能和训练稳定性。 触发词：注意力残差、AttnRes、注意力机制、残差连接、Transformer优化、 attention residuals, attention mechanism, residual connection。

Source text: Mixed languages

attention-sink-structural

Mechanistic explanation of attention sink phenomenon. Variance discrepancy amplified by FFN super neurons. Head-wise RMSNorm fixes it. Based on arXiv 2605.06611.

attractor-fcm-gradient-descent

Gradient descent-based physics-constrained Jacobian Fuzzy Cognitive Map (FCM) with attractor dynamics, residual memory, and BPTT. Uses Newton's method for fixed point attractor finding with adaptive landscape manipulation. Triggers: attractor FCM, fuzzy…

attractor-models-language-reasoning

Attractor Models for language and reasoning — backbone proposes output embeddings, attractor module refines them by solving for fixed point via implicit differentiation. Constant memory for effective depth, adaptive iteration count, equilibrium…

avsd-adaptive-view-self-distillation

AVSD (Adaptive-View Self-Distillation) methodology from arXiv:2605.20643 (May 2026). Multi-view self-distillation separating consensus from view-specific residual signals for token-level supervision in LLM self-training. Use when: multi-view distillation,…