newsGoogle News — Machine LearningTrust 62 · AggregatorPublished 29d agoLive · 28d ago
Path Integral Quantum Mechanics in the Era of Machine Learning - AIP Publishing LLC
Path Integral Quantum Mechanics in the Era of Machine Learning AIP Publishing LLC
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- PossiblePossibly related (embedding) · 61%netket/netket →
- PossiblePossibly related (embedding) · 60%tensorflow/quantum →
- PossiblePossibly related (embedding) · 58%Beyond the Expressivity-Trainability Paradox: A Dynamical Lie Algebra Perspective on Navigating Barren Plateaus in Quantum Machine Learning →
- PossiblePossibly related (embedding) · 58%Quantum vs. Classical Machine Learning: A Unified Empirical Comparison →
- PossiblePossibly related (embedding) · 55%Provable learning separation for predicting time-evolution of quantum many-body systems →
- PossiblePossibly related (embedding) · 54%iml-wg/HEPML-LivingReview →
- PossiblePossibly related (embedding) · 52%Classical Hardware Acceleration of Quantum Autoencoders for Real-Time Anomaly Detection in Collider Experiments →
- PossiblePossibly related (embedding) · 50%Cautious optimism for deep parameterized quantum circuits →
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reponetket/netketrepotensorflow/quantumpaperBeyond the Expressivity-Trainability Paradox: A Dynamical Lie Algebra Perspective on Navigating Barren Plateaus in Quantum Machine LearningpaperQuantum vs. Classical Machine Learning: A Unified Empirical ComparisonpaperProvable learning separation for predicting time-evolution of quantum many-body systems
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repoiml-wg/HEPML-LivingReviewrepotensorflow/quantumpaperProvable learning separation for predicting time-evolution of quantum many-body systemspaperQuantum vs. Classical Machine Learning: A Unified Empirical Comparisonreponetket/netketpaperCautious optimism for deep parameterized quantum circuitspaperBeyond the Expressivity-Trainability Paradox: A Dynamical Lie Algebra Perspective on Navigating Barren Plateaus in Quantum Machine LearningpaperClassical Hardware Acceleration of Quantum Autoencoders for Real-Time Anomaly Detection in Collider Experiments