activity
20162026
most citedQuantum Computational Quantification of Protein-Ligand Interactions

64 citations · 93 across the 11 of their papers we have counts for

collaborators

11 papers

quant-ph2026

Automated near-term quantum algorithm discovery for molecular ground states

Fabian Finger, Frederic Rapp, Pranav Kalidindi +10

Designing quantum algorithms is a complex and counterintuitive task, making it an ideal candidate for AI-driven algorithm discovery. To this end, we employ the Hive, an AI platform…

quant-ph2025

Quantum simulation of actinide chemistry: towards scalable algorithms on trapped ion quantum computers

Kesha Sorathia, Cono Di Paola, Gabriel Greene-Diniz +9

Due to the wide range of technical applications of actinide elements, a thorough understanding of their electronic structure could complement technological improvements in many dif…

quant-ph2025★ 1 cited

Quantum State Preparation Of Multiconfigurational States For Quantum Chemistry

Gabriel Greene-Diniz, Georgia Prokopiou, David Zsolt Manrique +1

The ability to prepare states for quantum chemistry is a promising feature of quantum computers, and efficient techniques for chemical state preparation is an active area of resear…

quant-ph2024★ 2 cited

Measuring Correlation and Entanglement between Molecular Orbitals on a Trapped-Ion Quantum Computer

Gabriel Greene-Diniz, Chris N. Self, Michal Krompiec +4

Quantifying correlation and entanglement between molecular orbitals can elucidate the role of quantum effects in strongly correlated reaction processes. However, accurately storing…

cond-mat.str-el2023★ 9 cited

Quantum Computed Green's Functions using a Cumulant Expansion of the Lanczos Method

Gabriel Greene-Diniz, David Zsolt Manrique, Kentaro Yamamoto +5

In this paper, we present a quantum computational method to calculate the many-body Green's function matrix in a spin orbital basis. We apply our approach to finite-sized fermionic…

quant-ph2023★ 2 cited

Calculating the Single-Particle Many-body Green's Functions via the Quantum Singular Value Transform Algorithm

Alexis Ralli, Gabriel Greene-Diniz, David Muñoz Ramo +1

The Quantum Singular Value Transformation (QSVT) is a technique that provides a unified framework for describing many of the quantum algorithms discovered to date. We implement a n…

quant-ph2022★ 2 cited

Modelling Carbon Capture on Metal-Organic Frameworks with Quantum Computing

Gabriel Greene-Diniz, David Zsolt Manrique, Wassil Sennane +7

Despite the recent progress in quantum computational algorithms for chemistry, there is a dearth of quantum computational simulations focused on material science applications, espe…

quant-ph2021★ 64 cited

Quantum Computational Quantification of Protein-Ligand Interactions

Josh John Mellor Kirsopp, Cono Di Paola, David Zsolt Manrique +7

We have demonstrated a prototypical hybrid classical and quantum computational workflow for the quantification of protein-ligand interactions. The workflow combines the Density Mat…

quant-ph2019★ 2 cited

Generalized unitary coupled cluster excitations for multireference molecular states optimized by the Variational Quantum Eigensolver

Gabriel Greene-Diniz, David Muñoz Ramo

The variational quantum eigensolver (VQE) algorithm, designed to calculate the energy of molecular ground states on near-term quantum computers, requires specification of symmetrie…

cond-mat.mtrl-sci2018★ 4 cited

First principles calculations of band offsets at heterovalent -Ge/InAlAs interfaces

G. Greene-Diniz, M. Grüning

First principles electronic structure calculations are carried out to investigate the band alignments of tensile strained (001) Ge interfaced with (001) InAlAs. The s…

cond-mat.mes-hall2016★ 7 cited

First principles modeling of defects in the Al_2O_3/In_0.53Ga_0.47As system

Gabriel Greene-Diniz, Kelin J. Kuhn, Paul K. Hurley +1

Density functional theory paired with a first order many-body perturbation theory correction is applied to determine formation energies and charge transition energies for point def…