Markus Pflitsch

12 papers Journal 12

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Hybrid quantum cycle generative adversarial network for small molecule generation. CoRR Matvei Anoshin, Asel Sagingalieva, Christopher Mansell, Vishal Shete, Markus Pflitsch, Alexey Melnikov
2024	J	`jnl`	Hybrid quantum physics-informed neural networks for simulating computational fluid dynamics in complex shapes. Mach. Learn. Sci. Technol. Alexandr Sedykh, Maninadh Podapaka, Asel Sagingalieva, Karan Pinto, Markus Pflitsch, Alexey Melnikov
2024	J	`jnl`	Loss Control-Based Key Distribution under Quantum Protection. Entropy Nikita S. Kirsanov, Valeria A. Pastushenko, Aleksei D. Kodukhov, Aziz Aliev, Mikhail Yarovikov, Daniel Strizhak, Ilya Zarubin, Alexander Smirnov, Markus Pflitsch, Valerii M. Vinokur
2023	J	`jnl`	Boosting Quantum Key Distribution via the End-to-End Loss Control. Cryptogr. Aleksei D. Kodukhov, Valeria A. Pastushenko, Nikita S. Kirsanov, Dmitry A. Kronberg, Markus Pflitsch, Valerii M. Vinokur
2023	J	`jnl`	Numerical solution of the incompressible Navier-Stokes equations for chemical mixers via quantum-inspired Tensor Train Finite Element Method. CoRR Egor Kornev, Sergey Dolgov, Karan Pinto, Markus Pflitsch, Michael Perelshtein, Artem Melnikov
2023	J	`jnl`	Photovoltaic power forecasting using quantum machine learning. CoRR Asel Sagingalieva, Stefan Komornyik, Arsenii Senokosov, Ayush Joshi, Alexander Sedykh, Christopher Mansell, Olga Tsurkan, Karan Pinto, Markus Pflitsch, Alexey Melnikov
2023	J	`jnl`	Quantum Algorithms Applied to Satellite Mission Planning for Earth Observation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Serge Rainjonneau, Igor Tokarev, Sergei Iudin, Saaketh Rayaprolu, Karan Pinto, Daria Lemtiuzhnikova, Miras Koblan, Egor Barashov, Mohammad Kordzanganeh, Markus Pflitsch, Alexey Melnikov
2023	J	`jnl`	Quantum algorithms applied to satellite mission planning for Earth observation. CoRR Serge Rainjonneau, Igor Tokarev, Sergei Iudin, Saaketh Rayaprolu, Karan Pinto, Daria Lemtiuzhnikova, Miras Koblan, Egor Barashov, Mohammad Kordzanganeh, Markus Pflitsch, Alexey Melnikov
2023	J	`jnl`	Quantum physics-informed neural networks for simulating computational fluid dynamics in complex shapes. CoRR Alexander Sedykh, Maninadh Podapaka, Asel Sagingalieva, Nikita Smertyak, Karan Pinto, Markus Pflitsch, Alexey Melnikov
2023	J	`jnl`	Tetra-AML: Automatic Machine Learning via Tensor Networks. CoRR Aleksei Naumov, Artem Melnikov, Vadim Abronin, F. Oxanichenko, K. Izmailov, Markus Pflitsch, A. Melnikov, Michael Perelshtein
2022	J	`jnl`	Benchmarking simulated and physical quantum processing units using quantum and hybrid algorithms. CoRR Mohammad Kordzanganeh, Markus Buchberger, Maxim Povolotskii, Wilhelm Fischer, Andrii Kurkin, Wilfrid Somogyi, Asel Sagingalieva, Markus Pflitsch, Alexey Melnikov
2022	J	`jnl`	Do we live in a [quantum] simulation? Constraints, observations, and experiments on the simulation hypothesis. CoRR Florian Neukart, Anders Indset, Markus Pflitsch, Michael Perelshtein