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ORCIDMarkus Pflitsch
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2020 – today
- 2024
[j3]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): 437 (2024)- [i8]Matvei Anoshin, Asel Sagingalieva, Christopher Mansell, Vishal Shete, Markus Pflitsch, Alexey Melnikov:
Hybrid quantum cycle generative adversarial network for small molecule generation. CoRR abs/2402.00014 (2024) - 2023
- [j2]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): 38 (2023) - [j1]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: 7062-7075 (2023) - [i7]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 abs/2302.07181 (2023) - [i6]Aleksei Naumov, Artem Melnikov, Vadim Abronin, F. Oxanichenko, K. Izmailov, Markus Pflitsch, A. Melnikov, Michael Perelshtein:
Tetra-AML: Automatic Machine Learning via Tensor Networks. CoRR abs/2303.16214 (2023) - [i5]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 abs/2304.11247 (2023) - [i4]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 abs/2305.10784 (2023) - [i3]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 abs/2312.16379 (2023) - 2022
- [i2]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 abs/2211.15631 (2022) - [i1]Florian Neukart, Anders Indset, Markus Pflitsch, Michael Perelshtein:
Do we live in a [quantum] simulation? Constraints, observations, and experiments on the simulation hypothesis. CoRR abs/2212.04921 (2022)
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