repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 14d ago
netket/netket
Machine learning algorithms for many-body quantum systems
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 62%Quantum vs. Classical Machine Learning: A Unified Empirical Comparison →
- PossiblePossibly related (embedding) · 60%One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective →
- PossiblePossibly related (embedding) · 59%Beyond the Expressivity-Trainability Paradox: A Dynamical Lie Algebra Perspective on Navigating Barren Plateaus in Quantum Machine Learning →
- PossiblePossibly related (embedding) · 56%Q-GAIN: A Python Package for Machine Learning and Physically Informed Analysis Applications →
- PossiblePossibly related (embedding) · 53%Balancing Expressivity and Learnability in Quantum Kernel Bandit Optimization →
- PossiblePossibly related (embedding) · 51%$\mathtt{Q^2SAR}$: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learning →
- PossiblePossibly related (embedding) · 51%Input-Aware Dynamic Backdoor Attack Against Quantum Neural Networks →
- PossiblePossibly related (embedding) · 45%When Close Enough Is Not Enough: Autoregressive Drift in Quantum Circuit Synthesis →
Implements
paperQuantum vs. Classical Machine Learning: A Unified Empirical ComparisonpaperOne More Time: Revisiting Neural Quantum States from a Reinforcement Learning PerspectivepaperBeyond the Expressivity-Trainability Paradox: A Dynamical Lie Algebra Perspective on Navigating Barren Plateaus in Quantum Machine LearningpaperQ-GAIN: A Python Package for Machine Learning and Physically Informed Analysis ApplicationspaperBalancing Expressivity and Learnability in Quantum Kernel Bandit Optimization
Implements (incoming)
paper$\mathtt{Q^2SAR}$: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learningpaperInput-Aware Dynamic Backdoor Attack Against Quantum Neural NetworkspaperWhen Close Enough Is Not Enough: Autoregressive Drift in Quantum Circuit SynthesispaperProvable learning separation for predicting time-evolution of quantum many-body systemspaperAction-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning
Covers (incoming)
newsWorld Quantum Machine Learning - Market Analysis, Forecast, Size, Trends and Insights - IndexBoxnewsFeature Reduction Improves Quantum Extreme Learning Machines - Quantum Zeitgeistnews76 Quantum Theorems Completed By AI In New Lean 4 Benchmarks - Quantum ZeitgeistnewsWISER and E.ON Benchmark Quantum Machine Learning for Smart Grid Energy Forecasting - Quantum Computing ReportnewsHybrid Quantum-neural Network Beats Classical Machine Learning - Quantum ZeitgeistnewsHybrid Quantum-neural Network Beats Classical Machine Learning - quantumzeitgeist.comnewsQuantum Machine Learning Assesses Post-Quantum Protocol Resilience - Quantum ZeitgeistnewsPennyLane is an open-source quantum software platform for quantumnewsPath Integral Quantum Mechanics in the Era of Machine Learning - AIP Publishing LLCnewsResearchers Develop Machine Learning Framework for Wigner Function Reconstruction from Sparse Data - Quantum ZeitgeistnewsWISER and E.ON Advance Energy Demand Forecasting with Quantum Machine Learning - The Quantum InsidernewsResearchers Bypass Complexity Limits In Quantum Learning - Quantum ZeitgeistnewsFAU Researchers Develop Quantum Framework to Predict Heart Disease - Florida Atlantic UniversitynewsFAU Researchers Develop Quantum Machine Learning Framework for Heart Disease Prediction - NewswisenewsFAU Researchers Use Quantum Machine Learning to Predict Heart Disease - The Quantum InsidernewsMIT and IBM Project Quantum Unity Operators into Language Model Latent Spaces for Multimodal Circuit Synthesis - Quantum Computing Report
Related across the graph
paperProvable learning separation for predicting time-evolution of quantum many-body systemsnewsFAU Researchers Develop Quantum Framework to Predict Heart Disease - Florida Atlantic UniversitynewsQuantum Machine Learning Assesses Post-Quantum Protocol Resilience - Quantum ZeitgeistpaperWhen Close Enough Is Not Enough: Autoregressive Drift in Quantum Circuit SynthesisnewsFeature Reduction Improves Quantum Extreme Learning Machines - Quantum ZeitgeistpaperAction-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device TuningnewsWISER and E.ON Benchmark Quantum Machine Learning for Smart Grid Energy Forecasting - Quantum Computing Reportnews76 Quantum Theorems Completed By AI In New Lean 4 Benchmarks - Quantum ZeitgeistnewsResearchers Bypass Complexity Limits In Quantum Learning - Quantum ZeitgeistnewsWISER and E.ON Advance Energy Demand Forecasting with Quantum Machine Learning - The Quantum InsiderpaperOne More Time: Revisiting Neural Quantum States from a Reinforcement Learning PerspectivenewsFAU Researchers Use Quantum Machine Learning to Predict Heart Disease - The Quantum InsiderpaperQuantum vs. Classical Machine Learning: A Unified Empirical ComparisonpaperBalancing Expressivity and Learnability in Quantum Kernel Bandit OptimizationnewsPath Integral Quantum Mechanics in the Era of Machine Learning - AIP Publishing LLCnewsMIT and IBM Project Quantum Unity Operators into Language Model Latent Spaces for Multimodal Circuit Synthesis - Quantum Computing ReportnewsWorld Quantum Machine Learning - Market Analysis, Forecast, Size, Trends and Insights - IndexBoxpaper$\mathtt{Q^2SAR}$: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learningpaperBeyond the Expressivity-Trainability Paradox: A Dynamical Lie Algebra Perspective on Navigating Barren Plateaus in Quantum Machine LearningnewsPennyLane is an open-source quantum software platform for quantumnewsResearchers Develop Machine Learning Framework for Wigner Function Reconstruction from Sparse Data - Quantum ZeitgeistpaperQ-GAIN: A Python Package for Machine Learning and Physically Informed Analysis ApplicationsnewsHybrid Quantum-neural Network Beats Classical Machine Learning - quantumzeitgeist.comnewsHybrid Quantum-neural Network Beats Classical Machine Learning - Quantum ZeitgeistpaperInput-Aware Dynamic Backdoor Attack Against Quantum Neural NetworksnewsFAU Researchers Develop Quantum Machine Learning Framework for Heart Disease Prediction - Newswise