512 citations · 733 across the 15 of their papers we have counts for
15 papers
Quantum Time-Series Learning with Evolutionary Algorithms
Vignesh Anantharamakrishnan, Márcio M. Taddei
Variational quantum circuits have arisen as an important method in quantum computing. A crucial step of it is parameter optimization, which is typically tackled through gradient-de…
Quantum Optimization Methods for Satellite Mission Planning
Antón Makarov, Carlos Pérez-Herradón, Giacomo Franceschetto +5
Satellite mission planning for Earth observation satellites is a combinatorial optimization problem that consists of selecting the optimal subset of imaging requests, subject to co…
Certification of quantum state functions under partial information
Leonardo Zambrano, Donato Farina, Egle Pagliaro +2
Convex functions of quantum states play a key role in quantum physics, with examples ranging from Bell inequalities to von Neumann entropy. However, in experimental scenarios, dire…
Optimization of Image Acquisition for Earth Observation Satellites via Quantum Computing
Antón Makarov, Márcio M. Taddei, Eneko Osaba +3
Satellite image acquisition scheduling is a problem that is omnipresent in the earth observation field; its goal is to find the optimal subset of images to be taken during a given…
Local quantum overlapping tomography
Bruna G. M. Araújo, Márcio M. Taddei, Daniel Cavalcanti +1
Reconstructing the full quantum state of a many-body system requires the estimation of a number of parameters that grows exponentially with system size. Nevertheless, there are sit…
Fragmented imaginary-time evolution for early-stage quantum signal processors
Thais de Lima Silva, Márcio M. Taddei, Stefano Carrazza +1
Simulating quantum imaginary-time evolution (QITE) is a major promise of quantum computation. However, the known algorithms are either probabilistic (repeat until success) with imp…