activity
20242026
collaborators

7 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…

quant-ph2025

Classical fractional time series from quantum XXZ spin chains

Zoltán Udvarnoki, Gábor Fáth, Miklós Werner +1

Entangled quantum mechanical states in one dimension can be used to represent and simulate classical stochastic processes with nontrivial statistical properties. Long-range quantum…

physics.chem-ph2025

Assessing the Reliability of Truncated Coupled Cluster Wavefunction: Estimating the Distance from the Exact Solution

Ádám Ganyecz, Zsolt Benedek, Klára Petrov +4

A new approach is proposed to assess the reliability of the truncated wavefunction methods by estimating the deviation from the full configuration interaction (FCI) wavefunction. W…

quant-ph2025

Real-Time Dynamics in a (2+1)-D Gauge Theory: The Stringy Nature on a Superconducting Quantum Simulator

Jesús Cobos, Joana Fraxanet, César Benito +7

Understanding the confinement mechanism in gauge theories and the universality of effective string-like descriptions of gauge flux tubes remains a fundamental challenge in modern p…

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…