8 citations · 14 across the 3 of their papers we have counts for
4 papers · 1 filter
Fourier Analysis of Parametrized Interactive Quantum Classifiers
Fábio Novaes, Fernando M. de Paula Neto, João V. M. Cardoso
Interactive Quantum Classifiers (IQCs) constitute a family of quantum machine learning models inspired by open quantum systems, in which the interaction between a target qubit and…
Quantum-classical hybrid models based on error correction for time series forecasting
Jonathan H. A. de Carvalho, Filipe C. de L. Duarte, Fernando M. de Paula Neto +1
Time series forecasting largely benefits from combining the strengths of different models, especially using a scheme where a model corrects another model by capturing supplementary…
Parametrized constant-depth quantum neuron
Jonathan H. A. de Carvalho, Fernando M. de Paula Neto
Quantum computing has been revolutionizing the development of algorithms. However, only noisy intermediate-scale quantum devices are available currently, which imposes several rest…
On Applying the Lackadaisical Quantum Walk Algorithm to Search for Multiple Solutions on Grids
Jonathan H. A. de Carvalho, Luciano S. de Souza, Fernando M. de Paula Neto +1
Quantum computing promises to improve the information processing power to levels unreachable by classical computation. Quantum walks are heading the development of quantum algorith…