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Operations, strategy, finance, sales, support, management, and planning
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- Vo2 Conduction Topology Phase DynamicsElectrically steered conduction topologies and period-doubling phase dynamics in VO2 devices. Phase transition control for next-generation computing platforms. Activation: VO2 topology, phase dynamics, conduction steering, insulator-metal transition.Votes: 0GitHub stars: 3
- Mathematical QuantizationKohn-Nirenberg quantization and Lie group quantization methods. Construct unitary dual 2-cocycles for semidirect products like affine group. Frobenius seaweed Lie algebra applications. Use when: (1) Quantizing Lie groups (affine, semidirect products), (2) Constructing unitary cocycles for representation theory, (3) Implementing Kohn-Nirenberg quantization procedure, (4) Studying Frobenius seaweed Lie algebra structures.Votes: 0GitHub stars: 3
- Mamba Spike Forecasting Behavioral DecodingImplicit Behavioral Decoding from Next-Step Spike Forecasts at Population Scale — Mamba forecaster methodology for closed-loop BCI. A single Mamba model trained on next-step spike counts at Neuropixels scale simultaneously predicts future neural activity and decodes behavioral state via a lightweight linear readout. Use when: analyzing neural population spike data, building closed-loop BCI decoders, applying state-space models (Mamba/SSM) to neural time series, or studying implicit behavioral...Votes: 0GitHub stars: 3
- Lie Group Quantum Circuit SynthesisHardware-aware quantum circuit synthesis using Lie group diffusion models on SU(2) manifold. Combines discrete skeleton selection with continuous gate parameter generation via heat kernel denoising. Use when: compiling quantum circuits, synthesizing hardware-aware quantum gates, optimizing circuit fidelity vs complexity. Source: arXiv:2606.29636 (2026-06-28).Votes: 0GitHub stars: 3
- Learning Sequence Timing Spiking NeuronsLearning sequence timing and control of replay speed in networks of spiking neurons — sTM model extension for encoding element-specific timing and flexible replay speed modulation via oscillatory background input. arXiv 2605.22523 (May 2026).Votes: 0GitHub stars: 3
- Lattice Surgery Surface CodeLattice surgery methodology for fault-tolerant logical operations between distance-three surface-code logical qubits on planar superconducting processors. Enables deterministic Bell state preparation, two-qubit Deutsch-Jozsa at logical level, and magic-state injection for non-Clifford gates.Votes: 0GitHub stars: 3
- Lapis Spiking AttentionLapis: multiplication-free spiking attention.Votes: 0GitHub stars: 3
- Lapis Laplacian Spiking AttentionLapis spiking attention mechanism.Votes: 0GitHub stars: 3
- Kuramoto Control TheoryUnified control-theoretic framework for complex-valued Kuramoto networks. Based on arxiv:2604.07249 'Complex-Valued Kuramoto Networks: A Unified Control-Theoretic Framework' by Giordano et al. Use when analyzing Kuramoto network synchronization, phase locking control, switched feedforward control, sliding-mode control for oscillators, or when asked 'Kuramoto control', 'oscillator synchronization', 'phase locking design', 'complex-valued Kuramoto'.Votes: 0GitHub stars: 3
- Ontology Driven Cps DataspaceOntology-driven dataspace approach for reproducible test annotation in Cyber-Physical Energy Systems using three-viewpoint ontology framework (HTD-O, SCM-O, OPMW).Votes: 0GitHub stars: 3
- Karma Economy Resource AllocationNon-monetary karma economy for fair distributed resource allocation. Online karma auctions for EV charging, distributed scheduling, and capacity management. Use when: fair resource allocation, non-monetary economies, distributed scheduling, EV charging optimization, karma auctions, Dynamic Population Games, Stationary Nash Equilibrium, intertemporal allocation.Votes: 0GitHub stars: 3
- Itp Stdp Snn TrainingITP-STDP (Intrinsic-Timing Power-of-Two STDP) 方法论用于片上脉冲神经网络训练。通过算法和硬件级优化消除STDP计算开销，实现能耗效率和硬件资源利用的显著提升。Votes: 0GitHub stars: 3
- Iot Cps Workflow SchedulingMulti-objective and multi-constrained IoT workflow scheduling in Edge-Hub-Cloud Cyber-Physical Systems using continuous-time mixed integer linear programming. Optimizes latency, energy, and reliability with selective task duplication. Activation: IoT scheduling, CPS workflow, edge computing, task scheduling, multi-objective optimization.Votes: 0GitHub stars: 3
- Internet Agentic Ai ArchitectureInternet of Agentic AI (IoAI) architecture patterns for scalable agent ecosystems — communication protocols, semantic interoperability, trust mechanisms, and governance frameworks. Use when: designing multi-agent systems, agent communication protocols, distributed AI coordination, agent identity/trust, semantic interoperability, large-scale agent networks.Votes: 0GitHub stars: 3
- Hybrid Quantum Classical ArchitectureDesign and optimization of hybrid quantum-classical computing system architectures. Includes dataflow frameworks, fault-tolerant design, resource efficiency optimization, automated architecture search, and quantum ML application patterns. Use when: (1) designing quantum computing systems, (2) optimizing hybrid quantum-classical architectures, (3) implementing fault-tolerant quantum systems, (4) searching for optimal quantum architectures, (5) building hybrid quantum ML pipelines for medical/f...Votes: 0GitHub stars: 3
- Hybrid Qcnn Medical DiagnosticsHybrid classical-quantum diagnostic framework using QCNNs for multi-class medical image classificationVotes: 0GitHub stars: 3
- Hotstart Quantum Portfolio OptimizationHot-starting methodology for quantum portfolio optimization — restricting search space to discrete solutions near the continuous optimum by constructing a compact Hilbert space, reducing qubit requirements.Votes: 0GitHub stars: 3
- Heterogeneous Contract ControlHeterogeneous assume-guarantee contract framework for co-design of layered control architectures. Decomposes safety-liveness specifications across discrete-time planning (MPC) and continuous-time safety layers using vertical refinement, timing compatibility, and explicit reference governors. Use when designing hierarchical control systems, layered control architectures (LCAs), assume-guarantee contracts for CPS, safety-liveness decomposition, MPC + low-level controller integration, reference ...Votes: 0GitHub stars: 3
- Tensor Network Medical ImagingQuantum-inspired tensor network feature engineering for medical image classification. Use PARAFAC/CP tensor decompositions to extract discriminative features from medical imaging data (MRI, CT, X-ray) for multi-class neurological disorder prediction and clinical diagnosis. Applicable to any high-dimensional medical imaging classification task where tensor decompositions can capture latent structure.Votes: 0GitHub stars: 3
- Hardware Aware Quantum CompilationHardware-aware quantum compilation with data-driven lightweight error detection for early fault-tolerant NISQ systems. Use when: (1) optimizing qubit mapping and SWAP insertion for NISQ devices, (2) integrating error detection into compilation pipelines, (3) balancing detection overhead against success probability under latency constraints, (4) co-designing compilation and quantum error detection (QED) for early fault-tolerant quantum processors. Activation: quantum compilation, qubit mapping...Votes: 0GitHub stars: 3
- Graph Pooling Node FeaturesAnalyze and optimize graph pooling operations by examining the interaction between node features and graph topology. Ensures effective pooling in GNN-based graph classification.Votes: 0GitHub stars: 3
- Warped Hierarchical Modular Neural NetworkRelaxing Warped Spaces — generalized hierarchical and modular dynamical neural networks. Uses warped hierarchical modular structure for efficient representation learning and dynamical neural processing. Applicable to neuromorphic computing, hierarchical representation learning, dynamical neural networks. 触发词: warped spaces, hierarchical modular, dynamical neural network, representation learning, neural dynamicsVotes: 0GitHub stars: 3
- Relay On Policy DistillationRelay On-Policy Distillation (Relay-OPD) methodology for trajectory-relayed token-level supervision to overcome prefix failure in reasoning models.Votes: 0GitHub stars: 3
- Qutrit Neural Networks Financial ForecastingQuantum qutrit-based neural network methodology for real-time financial forecasting. Uses 3-state quantum neurons instead of 2-state qubits to capture richer financial patterns with faster training.Votes: 0GitHub stars: 3