activity
20102026
most citedQuantum Chemistry in the Age of Quantum Computing

1.5k citations · 2.3k across the 45 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

physics.chem-ph2020★ 4 cited

Automatic selection of active spaces for strongly correlated systems using machine learning algorithms

Pavlo Golub, Andrej Antalik, Libor Veis +1

The active-space quantum chemical methods could provide very accurate description of strongly correlated electronic systems, which is of tremendous value for natural sciences. The…

quant-ph2020★ 3 cited

Variational Quantum Eigensolver for Approximate Diagonalization of Downfolded Hamiltonians using Generalized Unitary Coupled Cluster Ansatz

Nicholas P. Bauman, Jaroslav Chládek, Libor Veis +2

In this paper we discuss the utilization of Variational Quantum Solver (VQE) and recently introduced Generalized Unitary Coupled Cluster (GUCC) formalism for the diagonalization of…

cond-mat.str-el2020★ 1 cited

DMRG on top of plane-wave Kohn-Sham orbitals: case study of defected boron nitride

Gergely Barcza, Viktor Ivády, Tibor Szilvási +4

In this paper, we analyze the numerical aspects of the inherently multi-reference density matrix renormalization group (DMRG) calculations on top of the periodic Kohn-Sham density…

physics.chem-ph2020★ 22 cited

Towards DMRG-tailored coupled cluster method in the 4c-relativistic domain

Jan Brandejs, Jakub Višňák, Libor Veis +3

There are three essential problems in computational relativistic chemistry: electrons moving at relativistic speeds, close lying states and dynamical correlation. Currently availab…

physics.chem-ph2020★ 22 cited

Ground State of the Fe(II)-porphyrin Model System Corresponds to the Quintet State: A DFT and DMRG-based Tailored CC Study

Andrej Antalík, Dana Nachtigallová, Rabindranath Lo +6

Fe(II)-porphyrins (FeP) play an important role in many reactions relevant to material science and biological processes, due to their closely lying spin states. However, this small…

physics.chem-ph2020

Massively parallel quantum chemical density matrix renormalization group method

Jiří Brabec, Jan Brandejs, Karol Kowalski +3

We present, to the best of our knowlegde, the first attempt to exploit the supercomputer platform for quantum chemical density matrix renormalization group (QC-DMRG) calculations.…