5 papers
Offset-continuation-trajectory stacking based on common-reflection-point kinematics for five-dimensional prestack dataset regularization and enhancement
Tiago A. Coimbra, Rodrigo Bloot, Caian Benedicto +2
Prestack seismic data regularization and enhancement are critical steps for reliable imaging and inversion, particularly in five-dimensional (5D) dataset geometries affected by irr…
Quantum circuit evolutionary framework applied on set partitioning problem
Bruno Oziel Fernandez, Rodrigo Bloot, Marcelo Moret
Quantum algorithms are of great interest for their possible use in optimization problems. In particular, variational algorithms that use classical counterparts to optimize paramete…
Avoiding convergence stagnation in a quantum circuit evolutionary framework through an adaptive cost function
Bruno Oziel Fernandez, Rodrigo Bloot, Marcelo Moret
Binary optimization problems are emerging as potential candidates for useful applications of quantum computing. Among quantum algorithms, the quantum approximate optimization algor…
Evolutionary-enhanced quantum supervised learning model
Anton Simen Albino, Rodrigo Bloot, Otto M. Pires +1
Quantum supervised learning, utilizing variational circuits, stands out as a promising technology for NISQ devices due to its efficiency in hardware resource utilization during the…
Exploring velocity-spreading factor and consequences through dynamic ray-tracing in general anisotropic media: A comprehensive tutorial
Tiago A. Coimbra, Rodrigo Bloot, Jorge H. Faccipieri
In seismic imaging, understanding the relationship between wavefront-propagation velocity and time-interval velocity is crucial for achieving optimal resolution. However, this task…