Karan Pinto

According to our database, Karan Pinto authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Predictive control of blast furnace temperature in steelmaking with hybrid depth-infused quantum neural networks.

Nayoung Lee, Minsoo Shin, Asel Sagingalieva, Ayush Joshi Tripathi, Karan Pinto, Alexey Melnikov

CoRR, April, 2025

2024

Hybrid quantum physics-informed neural networks for simulating computational fluid dynamics in complex shapes.

Alexandr Sedykh, Maninadh Podapaka, Asel Sagingalieva, Karan Pinto, Markus Pflitsch, Alexey Melnikov

Mach. Learn. Sci. Technol., 2024

2023

Quantum Algorithms Applied to Satellite Mission Planning for Earth Observation.

Serge Rainjonneau, Igor Tokarev, Sergei Iudin, Saaketh Rayaprolu, Karan Pinto, Daria Lemtiuzhnikova, Miras Koblan, Egor Barashov, Mohammad Kordzanganeh, Markus Pflitsch, Alexey Melnikov

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Photovoltaic power forecasting using quantum machine learning.

Asel Sagingalieva, Stefan Komornyik, Arsenii Senokosov, Ayush Joshi, Alexander Sedykh, Christopher Mansell, Olga Tsurkan, Karan Pinto, Markus Pflitsch, Alexey Melnikov

CoRR, 2023

Numerical solution of the incompressible Navier-Stokes equations for chemical mixers via quantum-inspired Tensor Train Finite Element Method.

Egor Kornev, Sergey Dolgov, Karan Pinto, Markus Pflitsch, Michael Perelshtein, Artem Melnikov

CoRR, 2023

Quantum physics-informed neural networks for simulating computational fluid dynamics in complex shapes.

Alexander Sedykh, Maninadh Podapaka, Asel Sagingalieva, Nikita Smertyak, Karan Pinto, Markus Pflitsch, Alexey Melnikov

CoRR, 2023

2022

Practical application-specific advantage through hybrid quantum computing.

Michael Perelshtein, Asel Sagingalieva, Karan Pinto, Vishal Shete, Alexey I. Pakhomchik, Artem Melnikov, Florian Neukart, Georg Gesek, Alexey Melnikov, Valerii M. Vinokur

CoRR, 2022