repoGitHubTrust 82 · PrimaryPublished 3d agoLive · 3d ago
tensorflow/quantum
An open-source Python framework for hybrid quantum-classical machine learning.
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) · 66%Q-GAIN: A Python Package for Machine Learning and Physically Informed Analysis Applications →
- PossiblePossibly related (embedding) · 65%Quantum vs. Classical Machine Learning: A Unified Empirical Comparison →
- PossiblePossibly related (embedding) · 60%Beyond the Expressivity-Trainability Paradox: A Dynamical Lie Algebra Perspective on Navigating Barren Plateaus in Quantum Machine Learning →
- PossiblePossibly related (embedding) · 58%QFedAgent: Quantum-Enhanced Personalized Federated Learning for Multi-Agent Activity Recognition →
- PossiblePossibly related (embedding) · 57%One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective →
- PossiblePossibly related (embedding) · 49%Saving Lives with Quantum Computing and AI - Millersville University →
- PossiblePossibly related (embedding) · 46%When Close Enough Is Not Enough: Autoregressive Drift in Quantum Circuit Synthesis →
- PossiblePossibly related (embedding) · 57%World Quantum Machine Learning - Market Analysis, Forecast, Size, Trends and Insights - IndexBox →
Implements
paperQ-GAIN: A Python Package for Machine Learning and Physically Informed Analysis ApplicationspaperQuantum vs. Classical Machine Learning: A Unified Empirical ComparisonpaperBeyond the Expressivity-Trainability Paradox: A Dynamical Lie Algebra Perspective on Navigating Barren Plateaus in Quantum Machine LearningpaperQFedAgent: Quantum-Enhanced Personalized Federated Learning for Multi-Agent Activity RecognitionpaperOne More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective
Covers (incoming)
newsSaving Lives with Quantum Computing and AI - Millersville UniversitynewsWorld Quantum Machine Learning - Market Analysis, Forecast, Size, Trends and Insights - IndexBoxnewsBloq Quantum Partners With MIUUL to Expand Quantum Machine Learning Training in Turkey - The Quantum InsidernewsBloq Quantum Partners with MIUUL to Expand Quantum Machine Learning in Turkey - Quantum Computing ReportnewsQuantum Machine Learning Assesses Post-Quantum Protocol Resilience - Quantum Zeitgeist
Implements (incoming)
Related across the graph
newsQuantum Machine Learning Assesses Post-Quantum Protocol Resilience - Quantum ZeitgeistpaperWhen Close Enough Is Not Enough: Autoregressive Drift in Quantum Circuit SynthesispaperOne More Time: Revisiting Neural Quantum States from a Reinforcement Learning PerspectivepaperQuantum vs. Classical Machine Learning: A Unified Empirical ComparisonnewsSaving Lives with Quantum Computing and AI - Millersville UniversitynewsWorld Quantum Machine Learning - Market Analysis, Forecast, Size, Trends and Insights - IndexBoxpaperBeyond the Expressivity-Trainability Paradox: A Dynamical Lie Algebra Perspective on Navigating Barren Plateaus in Quantum Machine LearningnewsBloq Quantum Partners with MIUUL to Expand Quantum Machine Learning in Turkey - Quantum Computing ReportnewsBloq Quantum Partners With MIUUL to Expand Quantum Machine Learning Training in Turkey - The Quantum InsiderpaperQ-GAIN: A Python Package for Machine Learning and Physically Informed Analysis ApplicationspaperQFedAgent: Quantum-Enhanced Personalized Federated Learning for Multi-Agent Activity Recognition