Markus Pflitsch

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 11

Top Topics

Hybrid Algorithms

Forecast Models

Key Distribution

Top Venues

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

Publications

Matvei Anoshin, Asel Sagingalieva, Christopher Mansell, Vishal Shete, Markus Pflitsch, Alexey Melnikov
Hybrid quantum cycle generative adversarial network for small molecule generation. CoRR (2024)
Nikita S. Kirsanov, Valeria A. Pastushenko, Aleksei D. Kodukhov, Aziz Aliev, Mikhail Yarovikov, Daniel Strizhak, Ilya Zarubin, Alexander Smirnov, Markus Pflitsch, Valerii M. Vinokur
Loss Control-Based Key Distribution under Quantum Protection. Entropy 26 (6) (2024)
Serge Rainjonneau, Igor Tokarev, Sergei Iudin, Saaketh Rayaprolu, Karan Pinto, Daria Lemtiuzhnikova, Miras Koblan, Egor Barashov, Mohammad Kordzanganeh, Markus Pflitsch, Alexey Melnikov
Quantum Algorithms Applied to Satellite Mission Planning for Earth Observation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Alexander Sedykh, Maninadh Podapaka, Asel Sagingalieva, Nikita Smertyak, Karan Pinto, Markus Pflitsch, Alexey Melnikov
Quantum physics-informed neural networks for simulating computational fluid dynamics in complex shapes. CoRR (2023)
Egor Kornev, Sergey Dolgov, Karan Pinto, Markus Pflitsch, Michael Perelshtein, Artem Melnikov
Numerical solution of the incompressible Navier-Stokes equations for chemical mixers via quantum-inspired Tensor Train Finite Element Method. CoRR (2023)
Aleksei D. Kodukhov, Valeria A. Pastushenko, Nikita S. Kirsanov, Dmitry A. Kronberg, Markus Pflitsch, Valerii M. Vinokur
Boosting Quantum Key Distribution via the End-to-End Loss Control. Cryptogr. 7 (3) (2023)
Serge Rainjonneau, Igor Tokarev, Sergei Iudin, Saaketh Rayaprolu, Karan Pinto, Daria Lemtiuzhnikova, Miras Koblan, Egor Barashov, Mohammad Kordzanganeh, Markus Pflitsch, Alexey Melnikov
Quantum algorithms applied to satellite mission planning for Earth observation. CoRR (2023)
A. Naumov, Artem Melnikov, V. Abronin, F. Oxanichenko, K. Izmailov, Markus Pflitsch, A. Melnikov, Michael Perelshtein
Tetra-AML: Automatic Machine Learning via Tensor Networks. CoRR (2023)
Asel Sagingalieva, Stefan Komornyik, Arsenii Senokosov, Ayush Joshi, Alexander Sedykh, Christopher Mansell, Olga Tsurkan, Karan Pinto, Markus Pflitsch, Alexey Melnikov
Photovoltaic power forecasting using quantum machine learning. CoRR (2023)
Florian Neukart, Anders Indset, Markus Pflitsch, Michael Perelshtein
Do we live in a [quantum] simulation? Constraints, observations, and experiments on the simulation hypothesis. CoRR (2022)
Mohammad Kordzanganeh, Markus Buchberger, Maxim Povolotskii, Wilhelm Fischer, Andrii Kurkin, Wilfrid Somogyi, Asel Sagingalieva, Markus Pflitsch, Alexey Melnikov
Benchmarking simulated and physical quantum processing units using quantum and hybrid algorithms. CoRR (2022)