Ganahl, Martin
- TensorNetwork: A Library for Physics and Machine Learning
2019/05/03 by Roberts, Chase, Milsted, Ashley, Ganahl, Martin +6 · 1 voice · 2 citations
#Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Theory (hep-th) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Strongly Correlated Electrons (cond-mat.str-el)
- Parallel implementation of the Density Matrix Renormalization Group method achieving a quarter petaFLOPS performance on a single DGX-H100 GPU node
2024/07/10 by Andor Menczer, Menczer, Andor, Maarten Van Damme +13 · 11 citations
Physics and Astronomy · #Advanced Condensed Matter Physics #Chemical Physics (physics.chem-ph) #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Physics of Superconductivity and Magnetism #Strongly Correlated Electrons (cond-mat.str-el) #Theoretical and Computational Physics
- Magic entanglement renormalization for quantum fields
2019/06/10 by Yijian Zou, Martin Ganahl, Zou, Yijian +3 · 2 citations
Physics and Astronomy · #Black Holes and Theoretical Physics #FOS: Physical sciences #High Energy Physics - Theory (hep-th) #Noncommutative and Quantum Gravity Theories #Quantum Physics (quant-ph) #Quantum many-body systems #Strongly Correlated Electrons (cond-mat.str-el)
- TensorNetwork on TensorFlow: A Spin Chain Application Using Tree Tensor Networks
2019/05/03 by Ashley Milsted, Milsted, Ashley, Martin Ganahl +7 · 2 citations
Computer Science · Mathematics · Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Theory (hep-th) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel Computing and Optimization Techniques #Quantum many-body systems #Strongly Correlated Electrons (cond-mat.str-el) #Tensor decomposition and applications
- Orbital optimization of large active spaces via AI-accelerators
2025/03/26 by Örs Legeza, Andor Menczer, Legeza, Örs +15 · 7 citations
Engineering · #Chemical Physics (physics.chem-ph) #FOS: Physical sciences #Space Satellite Systems and Control #Spacecraft Design and Technology #Spacecraft Dynamics and Control #Strongly Correlated Electrons (cond-mat.str-el)
- Continuous Matrix Product States for Inhomogeneous Quantum Field Theories: a Basis-Spline Approach
2017/12/02 by Martin Ganahl, Ganahl, Martin · 1 citation
Chemistry · Physics and Astronomy · #Advanced Physical and Chemical Molecular Interactions #Advanced Thermodynamics and Statistical Mechanics #Advanced Chemical Physics Studies
- LLM-initialized Differentiable Causal Discovery
2024/10/28 by Shiv Kampani, Kampani, Shiv, David Hidary +6 · 3 citations
Computer Science · Engineering · #Semantic Web and Ontologies #Bayesian Modeling and Causal Inference #Fault Detection and Control Systems
- TensorNetwork on TensorFlow: Entanglement Renormalization for quantum critical lattice models
2019/06/28 by Ganahl, Martin, Milsted, Ashley, Leichenauer, Stefan +2 · 1 citation
#Computational Physics (physics.comp-ph) #FOS: Physical sciences
- Retentive Neural Quantum States: Efficient Ansätze for Ab Initio Quantum Chemistry
2024/11/06 by Oliver Knitter, Knitter, Oliver, Dan Zhao +9 · 3 citations
Chemistry · Computer Science · Physics and Astronomy · #Computational Engineering #FOS: Computer and information sciences #FOS: Physical sciences #Finance #Machine Learning (cs.LG) #Molecular spectroscopy and chirality #Quantum Computing Algorithms and Architecture #Quantum Mechanics and Applications #Quantum Physics (quant-ph) #and Science (cs.CE)
- Mixed-precision ab initio tensor network state methods adapted for NVIDIA Blackwell technology via emulated FP64 arithmetic
2025/10/06 by Samuel Rodriguez Bernabeu, Brower, Cole, Jeff R. Hammond +12 · 2 citations
Computer Science · Engineering · #Chemical Physics (physics.chem-ph) #Computational Physics (physics.comp-ph) #Computational Physics and Python Applications #FOS: Physical sciences #Power System Optimization and Stability #Strongly Correlated Electrons (cond-mat.str-el)