activity
20232026
most citedFurther improving quantum algorithms for nonlinear differential equations via higher-order methods and rescaling

11 citations · 18 across the 8 of their papers we have counts for

collaborators

9 papers

quant-ph2026

Adiabatic tracking and optimal schedules for classical and quantum Gibbs-state preparation

Pedro C. S. Costa, Mauro E. S. Morales, Dong An +1

We develop a discrete adiabatic framework for Gibbs-state preparation in classical and quantum optimisation algorithms. For finite time-inhomogeneous reversible Markov chains, we d…

quant-ph2026

Constant Factor Analysis of Optimal Quantum Linear Solvers in Practice

Pedro C. S. Costa, Alexander M. Dalzell, Dong An +1

Optimal quantum linear equation solvers provide complexity , where is the condition number and is the allowable error. The optimal solver using a discrete ad…

quant-ph2025

Unitary Quantum Cellular Automata for Density Classification

Pedro C. S. Costa, Yuval R. Sanders, Pedro Paulo Balbi +1

We investigate the density classification task (DCT) -- determining the majority bit in a one-dimensional binary lattice -- within a quantum cellular automaton (CA) framework. Whil…

quant-ph2025

Large time-step discretisation of adiabatic quantum dynamics

Dong An, Pedro C. S. Costa, Dominic W. Berry

Adiabatic quantum computing is a general framework for preparing eigenstates of Hamiltonians on quantum devices. However, its digital implementation requires an efficient Hamiltoni…

math.OA2024

On a class of left ideals of nest algebras

Pedro Costa, Martim Ferreira, Lina Oliveira

We introduce a class of left ideals (and subalgebras) of nest algebras determined by totally ordered families of partial isometries on a complex Hilbert space . Let $\mathcal{E}…

quant-ph2024

Assessing Quantum and Classical Approaches to Combinatorial Optimization: Testing Quadratic Speed-ups for Heuristic Algorithms

Pedro C. S. Costa, Mauro E. S. Morales, Dong An +1

Many recent investigations conclude, based on asymptotic complexity analyses, that quantum computers could accelerate combinatorial optimization (CO) tasks relative to a purely cla…

quant-ph2024★ 2 cited

Quantum Linear System Solvers: A Survey of Algorithms and Applications

Mauro E. S. Morales, Lirandë Pira, Philipp Schleich +7

Solving linear systems of equations plays a fundamental role in numerous computational problems from different fields of science. The widespread use of numerical methods to solve t…

quant-ph2023★ 11 cited

Further improving quantum algorithms for nonlinear differential equations via higher-order methods and rescaling

Pedro C. S. Costa, Philipp Schleich, Mauro E. S. Morales +1

The solution of large systems of nonlinear differential equations is needed for many applications in science and engineering. In this study, we present three main improvements to e…

quant-ph2023★ 5 cited

The discrete adiabatic quantum linear system solver has lower constant factors than the randomized adiabatic solver

Pedro C. S. Costa, Dong An, Ryan Babbush +1

The solution of linear systems of equations is the basis of many other quantum algorithms, and recent results provided an algorithm with optimal scaling in both the condition numbe…