17 citations · 32 across the 3 of their papers we have counts for
3 papers
QBoost for regression problems: solving partial differential equations
Caio B. D. Góes, Thiago O. Maciel, Giovani G. Pollachini +3
A hybrid algorithm based on machine learning and quantum ensemble learning is proposed that is capable of finding a solution to a partial differential equation with good precision…
A hybrid classical-quantum approach to solve the heat equation using quantum annealers
Giovani G. Pollachini, Juan P. L. C. Salazar, Caio B. D. Goes +2
The numerical solution of partial differential equations by discretization techniques is ubiquitous in computational physics. In this work we benchmark this approach in the quantum…
Automated Machine Learning can Classify Bound Entangled States with Tomograms
Caio B. D. Goes, Askery Canabarro, Eduardo I. Duzzioni +1
For quantum systems with a total dimension greater than six, the positive partial transposition (PPT) criterion is sufficient but not necessary to decide the non-separability of qu…