activity
20242026
collaborators

5 papers

physics.chem-ph2026

Hunting for quantum advantage in electronic structure calculations is a highly non-trivial task

Örs Legeza, Andor Menczer, Miklós Antal Werner +7

In light of major developments over the past decades in both quantum computing and simulations on classical hardware, it is a serious challenge to identify a real-world problem whe…

physics.chem-ph2025

Mixed-precision ab initio tensor network state methods adapted for NVIDIA Blackwell technology via emulated FP64 arithmetic

Cole Brower, Samuel Rodriguez Bernabeu, Jeff Hammond +5

We report cutting-edge performance results via mixed-precision spin adapted ab initio Density Matrix Renormalization Group (DMRG) electronic structure calculations utilizing the Oz…

physics.chem-ph2025

Orbital optimization of large active spaces via AI-accelerators

Örs Legeza, Andor Menczer, Ádám Ganyecz +6

We present an efficient orbital optimization procedure that combines the highly GPU accelerated, spin-adapted density matrix renormalization group (DMRG) method with the complete a…

cond-mat.str-el2025

Tensor network state methods and quantum information theory for strongly correlated molecular systems

Miklós Antal Werner, Andor Menczer, Örs Legeza

A brief pedagogical overview of recent advances in tensor network state methods are presented that have the potential to broaden their scope of application radically for strongly c…

physics.comp-ph2024

Cost optimized ab initio tensor network state methods: industrial perspectives

Andor Menczer, Örs Legeza

We introduce efficient solutions to optimize the cost of tree-like tensor network state method calculations when an expensive GPU-accelerated hardware is utilized. By supporting a…