4 citations · 11 across the 9 of their papers we have counts for
9 papers
A short review on qudit quantum machine learning
Tiago de Souza Farias, Lucas Friedrich, Jonas Maziero
As quantum devices scale toward practical machine learning applications, the binary qubit paradigm faces expressivity and resource efficiency limitations. Multi-level quantum syste…
MixFunn: A Neural Network for Differential Equations with Improved Generalization and Interpretability
Tiago de Souza Farias, Gubio Gomes de Lima, Jonas Maziero +1
We introduce MixFunn, a novel neural network architecture designed to solve differential equations with enhanced precision, interpretability, and generalization capability. The arc…
Non-binary artificial neuron with phase variation implemented on a quantum computer
Jhordan Silveira de Borba, Jonas Maziero
The first artificial quantum neuron models followed a similar path to classic models, as they work only with discrete values. Here we introduce an algorithm that generalizes the bi…
QuForge: A Library for Qudits Simulation
Tiago de Souza Farias, Lucas Friedrich, Jonas Maziero
Quantum computing with qudits, an extension of qubits to multiple levels, is a research field less mature than qubit-based quantum computing. However, qudits can offer some advanta…
Barren plateaus are amplified by the dimension of qudits
Lucas Friedrich, Tiago de Souza Farias, Jonas Maziero
Variational Quantum Algorithms (VQAs) have emerged as pivotal strategies for attaining quantum advantage in diverse scientific and technological domains, notably within Quantum Neu…
Using quantum computers to identify prime numbers via entanglement dynamics
Victor F. dos Santos, Jonas Maziero
Recently, the entanglement dynamics of two harmonic oscillators initially prepared in a separable-coherent state was demonstrated to offer a pathway for prime number identification…
Quantum neural network with ensemble learning to mitigate barren plateaus and cost function concentration
Lucas Friedrich, Jonas Maziero
The rapid development of quantum computers promises transformative impacts across diverse fields of science and technology. Quantum neural networks (QNNs), as a forefront applicati…
Preparing general mixed quantum states on quantum computers
Lucas Friedrich, Douglas F. Pinto, Diego S. Starke +1
The preparation of quantum states is a fundamental subroutine for a broad class of quantum information protocols and is critical for both quantum communication and quantum computat…
Learning to learn with an evolutionary strategy applied to variational quantum algorithms
Lucas Friedrich, Jonas Maziero
Variational Quantum Algorithms (VQAs) employ parameterized quantum circuits optimized using classical methods to minimize a cost function. While VQAs have found broad applications,…