activity
20172026
most citedThe Density Matrix Renormalization Group in Chemistry and Molecular Physics: Recent Developments and New Challenges

327 citations · 1.1k across the 25 of their papers we have counts for

collaborators

26 papers

quant-ph2026

Sample-based quantum simulation of vibrational structure of polyyne chains

Sarah Mostame, Tanvi P. Gujarati, Alberto Baiardi +3

Predicting anharmonic vibrational spectra is a complex computational task, which becomes quickly infeasible as molecular size and the number of vibrational basis functions increase…

physics.comp-ph2025★ 5 cited

QCMaquis 4.0: Multi-Purpose Electronic, Vibrational, and Vibronic Structure and Dynamics Calculations with the Density Matrix Renormalization Group

Kalman Szenes, Nina Glaser, Mihael Erakovic +6

QCMaquis is a quantum chemistry software package for general molecular structure calculations in a matrix product state/matrix product operator formalism of the density matrix reno…

quant-ph2024

Quantum computing in spin-adapted representations for efficient simulations of spin systems

Anthony Gandon, Alberto Baiardi, Max Rossmannek +2

Exploiting inherent symmetries is a common and effective approach to speed up the simulation of quantum systems. However, efficiently accounting for non-Abelian symmetries, such as…

physics.chem-ph2024★ 3 cited

Non-iterative Triples for Transcorrelated Coupled Cluster Theory

Maximilian Mörchen, Alberto Baiardi, Michał Lesiuk +1

We present an implementation of a perturbative triples correction for the coupled cluster ansatz including single and double excitations based on the transcorrelated Hamiltonian. T…

physics.chem-ph2024★ 6 cited

Vibrational Entanglement through the Lens of Quantum Information Measures

Nina Glaser, Alberto Baiardi, Annina Z. Lieberherr +1

We introduce a quantum information analysis of vibrational wave functions to understand complex vibrational spectra of molecules with strong anharmonic couplings and vibrational re…

quant-ph2024★ 10 cited

Hybrid Tree Tensor Networks for quantum simulation

Julian Schuhmacher, Marco Ballarin, Alberto Baiardi +4

Hybrid Tensor Networks (hTN) offer a promising solution for encoding variational quantum states beyond the capabilities of efficient classical methods or noisy quantum computers al…

quant-ph2024★ 1 cited

Non-adiabatic quantum dynamics with fermionic subspace-expansion algorithms on quantum computers

Anthony Gandon, Alberto Baiardi, Pauline Ollitrault +1

We introduce a novel computational framework for excited-states molecular quantum dynamics simulations driven by quantum computing-based electronic-structure calculations. This fra…

quant-ph2023★ 8 cited

More quantum chemistry with fewer qubits

Jakob Günther, Alberto Baiardi, Markus Reiher +1

Quantum computation is one of the most promising new paradigms for the simulation of physical systems composed of electrons and atomic nuclei, with applications in chemistry, solid…

physics.chem-ph2023★ 21 cited

Flexible DMRG-based framework for anharmonic vibrational calculations

Nina Glaser, Alberto Baiardi, Markus Reiher

We present a novel formulation of the vibrational density matrix renormalization group (vDMRG) algorithm tailored to strongly anharmonic molecules described by general high-dimensi…

physics.chem-ph2023★ 6 cited

Symmetry-Projected Nuclear-Electronic Hartree-Fock: Eliminating Rotational Energy Contamination

Robin Feldmann, Alberto Baiardi, Markus Reiher

We present a symmetry projection technique for enforcing rotational and parity symmetries in nuclear-electronic Hartree-Fock wave functions, which treat electrons and nuclei on equ…

quant-ph2022★ 92 cited

Quantum Computing for Molecular Biology

Alberto Baiardi, Matthias Christandl, Markus Reiher

Molecular biology and biochemistry interpret microscopic processes in the living world in terms of molecular structures and their interactions, which are quantum mechanical by thei…

physics.chem-ph2022★ 20 cited

Second-order self-consistent field algorithms: from classical to quantum nuclei

Robin Feldmann, Alberto Baiardi, Markus Reiher

This work presents a general framework for deriving exact and approximate Newton self-consistent field (SCF) orbital optimization algorithms by leveraging concepts borrowed from di…

physics.chem-ph2022★ 27 cited

Explicitly correlated electronic structure calculations with transcorrelated matrix product operators

Alberto Baiardi, Michał Lesiuk, Markus Reiher

In this work, we present the first implementation of the transcorrelated electronic Hamiltonian in an optimization procedure for matrix product states by the density matrix renorma…

physics.chem-ph2021★ 45 cited

Expansive Quantum Mechanical Exploration of Chemical Reaction Paths

Alberto Baiardi, Stephanie A. Grimmel, Miguel Steiner +4

Quantum mechanical methods have been devised for the elucidation and clarification of reaction paths of chemical processes over decades. While they are typically deployed in routin…

physics.chem-ph2021★ 37 cited

Excited-state DMRG made simple with FEAST

Alberto Baiardi, Anna K. Kelemen, Markus Reiher

We introduce DMRG[FEAST], a new method for optimizing excited-state many-body wave functions with the density matrix renormalization group (DMRG) algorithm. Our approach applies th…

physics.chem-ph2021★ 11 cited

Tensor Network States for Vibrational Spectroscopy

Nina Glaser, Alberto Baiardi, Markus Reiher

This review elaborates on the foundation, the advantages, and the prospects of tensor network representations for quantum states in vibrational spectroscopy. The focus is on the re…

physics.chem-ph2021★ 24 cited

Quantum Proton Effects from Density Matrix Renormalization Group Calculations

Robin Feldmann, Andrea Muolo, Alberto Baiardi +1

We recently introduced [J. Chem. Phys. 152 2020, 204103] the nuclear-electronic all-particle density matrix renormalization group method (NEAP-DMRG) to solve the molecular Schrödin…

cond-mat.str-el2020★ 35 cited

Transcorrelated Density Matrix Renormalization Group

Alberto Baiardi, Markus Reiher

We introduce the transcorrelated Density Matrix Renormalization Group (tcDMRG) theory for the efficient approximation of the energy for strongly correlated systems. tcDMRG encodes…

physics.chem-ph2020★ 31 cited

Electron Dynamics with the Time-Dependent Density Matrix Renormalization Group

Alberto Baiardi

In this work, we simulate the electron dynamics in molecular systems with the Time-Dependent Density Matrix Renormalization Group (TD-DMRG) algorithm. We leverage the generality of…

quant-ph2020★ 92 cited

Hardware Efficient Quantum Algorithms for Vibrational Structure Calculations

Pauline J. Ollitrault, Alberto Baiardi, Markus Reiher +1

We introduce a framework for the calculation of ground and excited state energies of bosonic systems suitable for near-term quantum devices and apply it to molecular vibrational an…

physics.chem-ph2020★ 31 cited

Nuclear-Electronic All-Particle Density Matrix Renormalization Group

Andrea Muolo, Alberto Baiardi, Robin Feldmann +1

We introduce the Nuclear Electronic All-Particle Density Matrix Renormalization Group (NEAP-DMRG) method for solving the time-independent Schrödinger equation simultaneously for el…

physics.comp-ph2019★ 327 cited

The Density Matrix Renormalization Group in Chemistry and Molecular Physics: Recent Developments and New Challenges

Alberto Baiardi, Markus Reiher

In the past two decades, the density matrix renormalization group (DMRG) has emerged as an innovative new method in quantum chemistry relying on a theoretical framework very differ…

physics.chem-ph2019★ 27 cited

Approximate analytical gradients and nonadiabatic couplings for the state-average density matrix renormalization group self-consistent field method

Leon Freitag, Yingjin Ma, Alberto Baiardi +2

We present an approximate scheme for analytical gradients and nonadiabatic couplings for calculating state-average density matrix renormalization group self-consistent-field wavefu…

physics.comp-ph2019★ 118 cited

Large-scale quantum-dynamics with matrix product states

Alberto Baiardi, Markus Reiher

Dynamical electronic- and vibrational-structure theories have received a growing interest in the last years due to their ability to simulate spectra recorded with ultrafast experim…