activity
20192025
most citedQEML (Quantum Enhanced Machine Learning): Using Quantum Computing to Enhance ML Classifiers and Feature Spaces

11 citations · 14 across the 2 of their papers we have counts for

collaborators

3 papers

eess.SY2025★ 3 cited

Efficient Adjoint Petrov-Galerkin Reduced Order Models for fluid flows governed by the incompressible Navier-Stokes equations

Kamil David Sommer, Lucas Mieg, Siddharth Sharma +2

This research paper investigates the Adjoint Petrov-Galerkin (APG) method for reduced order models (ROM) and fluid dynamics governed by the incompressible Navier-Stokes equations.…

quant-ph2020★ 11 cited

QEML (Quantum Enhanced Machine Learning): Using Quantum Computing to Enhance ML Classifiers and Feature Spaces

Siddharth Sharma

Machine learning and quantum computing are two technologies that are causing a paradigm shift in the performance and behavior of certain algorithms, achieving previously unattainab…

cs.CV2019

Urban Driving with Conditional Imitation Learning

Jeffrey Hawke, Richard Shen, Corina Gurau +8

Hand-crafting generalised decision-making rules for real-world urban autonomous driving is hard. Alternatively, learning behaviour from easy-to-collect human driving demonstrations…