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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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Graph neural network decoder confidence as learned proxy for logical gap in quantum error correction. The logit of a pretrained GNN decoder acts as a reliable proxy for minimum-weight perfect matching (MWPM) logical gap, enabling soft-information error…
Quantum state preparation via neural network encoding methodology. Maps classical data to quantum circuit parameters using a trained neural network, avoiding iterative variational optimization for each data instance. Achieves high-fidelity state preparation…
Neural network quantum state (NQS) variational Monte Carlo for correlated superconducting nanostructures. Maps quantum dot clusters to particle-number-conserving representations for fermionic NQS-VMC treatment. Identifies trivial singlet, strongly correlated…
Neural Transfer Unification (NTU) framework for efficient foundation decoders in fault-tolerant quantum computing at large code distances
Neural Transfer Unification (NTU) methodology for efficient foundation decoders in fault-tolerant quantum computing. Aligns decoding tasks across code distances via shared algebraic structures, enabling knowledge transfer from small to large code distances.…
Neuro-inspired Inverse Learning framework for planning and control — bridges RL amortization and optimal control with quantum gate applications
Research methodology for the intersection of neuroscience and quantum physics/computing. Use when analyzing papers or research at the boundary of brain science and quantum mechanics, including quantum neural networks, quantum memory models of cognition,…
NEURRATOR (神经叙述器) - 从单个神经元活动生成自然语言描述的框架，实现单细胞分辨率视觉语义叙述
Source text: Chinese
NEURRATOR - Semantic narration of vision at single-cell resolution. Decodes spiking activity into natural-language descriptions using CLIP embeddings and multimodal language models.
Noise-modulated neural networks using spatial noise fields for partial functionalization. Structured noise activates overlapping subnetworks, enabling multi-function storage in single networks. Activation: noise field neural network, partial…
Engineering non-Hermitian k-body interactions in digital qudit quantum simulators using SU(d) gate decomposition with O(d²) gate count scaling.
Nonstabilizerness diffusion dynamics methodology for analyzing magic resource generation in many-body quantum systems using stabilizer Renyi entropy and tensor network methods.
Online Generalised Predictive Coding via Dynamic Expectation Maximisation (ODEM) for biologically plausible online learning. Activation: predictive coding, online learning, DEM, dynamic expectation maximisation, active inference.
Optimal shadow estimation methodology — proving Theta(d^2) bases for worst-case and Theta(d) for average-case, with explicit basis families and 2-design protocols.
Orthogonal Regularization 方法论用于混合符号-神经动力系统，防止符号结构被神经网络残余吸收，实现互补分解
Source text: Chinese
Parallel Scan Recurrent Neural Quantum States (PSR-NQS) methodology for scalable variational Monte Carlo simulations. Use when designing efficient RNN-based quantum state ansätze, training neural quantum states with autoregressive models, scaling quantum…
并行化层次连接组(PHC)框架：用于脑网络时空循环建模的深度学习架构。结合结构连接和功能连接，通过并行化计算实现大规模脑网络的高效分析。适用于脑网络动力学、神经影像学、脑疾病预测。
Source text: Chinese
Parallelized Hierarchical Connectome (PHC) framework upgrading temporal State-Space Models (SSMs) into spatiotemporal recurrent networks. Maps SSM diagonal core to Neuron Layer and inter-neuronal communication to Synapse Layer, enabling parallel-scan-based…
Parametrically induced strong coupling between superconducting quantum circuits and solid-state spin ensembles. Uses parametric pump to achieve on-demand MHz-rate coupling for quantum state transfer. Enables hybrid quantum memories with coherence beyond…
parRSB: Exascale Spectral Element Mesh Partitioning (arXiv: 2606.14659v1). We introduce parRSB - a parallel, highly scalable graph partitioner for spectral...
Partial annealing framework for associative neural networks. Core idea: Coupling neural dynamics with slowly evolving patterns via two-temperature-two-timescale framework introduces real parameter n (replica-like) that tunes fast-slow separation. Negative n…
Path-integral formalism for semi-analytical pricing of default intensity models in quantitative finance. Enables accurate derivatives pricing (CDS, XVA) under stochastic default intensity without full numerical simulation.
Invariant-based analysis of quantum system dynamics using Pauli strings, Lie algebras, and Clifford group symmetries. Use when analyzing quantum circuit reachability, characterizing quantum system dynamics, designing variational quantum algorithms, or…
Causal intervention methodology testing Oppenheim-Lim phase importance asymmetry in deep neural network representations. Phase/sign carries identity while magnitude dispensable; mechanistic explanation for texture-shape gap between CNNs and attention models.
Phase model analysis of M-current effects on neural synchrony in hippocampal networks. Theoretical framework linking acetylcholine neuromodulation to neural assembly formation via phase reduction and cluster synchronization.
Bayesian theory of attention pattern emergence in transformers — derives closed-form posterior over attention matrices, reveals first-order phase transitions in training data amount for copy head emergence, contrasts softmax vs linear attention behavior.
Photonic quantum simulation of associative memory using Hopfield models with multi-body interactions. Use when simulating neural network dynamics, associative memory retrieval, spin-glass phases, or p-body Hopfield Hamiltonians on quantum hardware. Covers…
生理约束肌肉骨骼神经网络（MSK-NN）从部分观测sEMG估计多自由度关节运动学，无需内部生物力学标签的直接监督。
Source text: Chinese
Plastic Arbor突触可塑性模拟框架。从单个突触到形态神经元网络的可定制模拟，支持CPU/GPU高性能计算。适用于突触可塑性研究、神经网络模拟、形态学神经元建模。触发词：突触可塑性、Arbor、神经元模拟、形态学、synaptic plasticity、morphological neuron、simulation framework。
Source text: Chinese
Polariton Bose-Einstein Condensate (BEC) theory for quantum neuromorphic computing. Covers polariton condensation, macroscopic quantum coherence at room temperature, driven-dissipative nonlinear dynamics, synchronization, pattern formation, and topological…
Predictable mean-field chaos methodology for random recurrent networks - demonstrating that deterministic chaos is only apparently stochastic, with continuous past uniquely determining future trajectories.
Predictable Mean-Field Chaos in Random Recurrent Networks methodology — Krylov state space analysis revealing latent determinism in mean-field dynamics for analytic nonlinearities with fast Fourier decay. Demonstrates that microscopic sensitivity and…
Predictive Coding Light+ (PCL+) methodology for spiking neural network sequence prediction. A spiking neural network architecture for unsupervised sequence processing that learns recurrent excitatory connections with delays to enable short-term retention of…
Target-Space Recovery Profiles methodology for evaluating model-brain alignment beyond prediction accuracy. Identifies which reproducible brain response dimensions are recovered by predictions, enabling diagnostic evaluation of NeuroAI model-brain alignment.…
Framework for modeling temporal dynamics in the primate ventral visual stream across intrinsic dynamics, dynamic visual stimuli, and active sensing during eye movements. Activation: primate vision, ventral visual stream, VVS dynamics, active sensing.
Bayesian prior elicitation methodology for single-subject functional connectivity network inference from resting-state fMRI. Introduces novel Bayesian priors on correlation matrices with a dedicated elicitation framework that translates expert beliefs about…
PSI (Persistent Shared Interface): A shared-state architecture for coherent AI-generated instruments in personal AI agents. Enables cross-module reasoning and synchronized actions across interfaces. Use for: AI agent architecture, shared state design,…
Source text: Mixed languages
PSI (Persistent Shared Interface): Shared-state architecture for coherent AI-generated instruments in personal AI agents. Transforms isolated AI-generated modules into persistent, connected, chat-complementary artifacts through a shared personal-context bus.…
Source text: Chinese
Progressive Swapping to the Middle (PSM) protocol for entanglement distribution in quantum networks with imperfect quantum memories. Optimizes entanglement swapping order to minimize decoherence from finite memory coherence times. Presented at 2026 EuCNC and…
Structured pruning methodology for Spiking Vision Transformers (SViT) using uniform channel-wise filter pruning and sensitivity analysis for 22.4% memory saving