activity
20032026
most citedGrover's Algorithm: Quantum Database Search

32 citations · 111 across the 27 of their papers we have counts for

collaborators

29 papers

math.CO2026

A Conditional Rank-Count Theory for the Combinatorial Discretizable Distance Geometry Problem

Michael Souza, Wagner da Rocha, Carlile Lavor

The Combinatorial Discretizable Distance Geometry Problem combines a finite binary lateration process with additional distance constraints. When predecessor sets are not consecutiv…

math.MG2026

A Rank-Count Theory for the Combinatorial Discretizable Distance Geometry Problem

Michael Souza, Wagner da Rocha, Carlile Lavor

The Distance Geometry Problem (DGP) asks for a geometric realization of a weighted graph with \(n\) vertices in \(\mathbb{R}^K\) such that Euclidean distances between vertices matc…

physics.comp-ph2025

A Continuous Nonlinear Optimization Perspective on the Spin Glass Problem

Phil Duxbury, Carlile Lavor, Luiz Leduino de Salles-Neto

We present a continuous nonlinear optimization model for the Spin Glass Problem (SGP), building on a classical result by Rosenberg (1972), which shows that for a class of multiline…

cs.DS2025

On the Complexity of the Ordered Covering Problem in Distance Geometry

Michael Souza, Júlio Araújo, John Kesley Costa +1

The Ordered Covering Problem (OCP) arises in the context of the Discretizable Molecular Distance Geometry Problem (DMDGP), where the ordering of pruning edges significantly impacts…

math.OC2025

A hybrid combinatorial-continuous strategy for solving molecular distance geometry problems

Leonardo D. Secchin, Wagner da Rocha, Mariana da Rosa +2

The Molecular Distance Geometry Problem (MDGP) is essential to structural biology, as it seeks to determine three-dimensional protein structures from partial interatomic distances.…

q-bio.BM2025

An Angle-Based Algorithmic Framework for the Interval Discretizable Distance Geometry Problem

Wagner da Rocha, Wagner A. A. da Rocha, Carlile Lavor +4

Distance Geometry is central to protein structure determination from Nuclear Magnetic Resonance data, where distance restraints are naturally uncertain. We study the interval Discr…