Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Madita Willsch"'
Autor:
Daniel Vert, Madita Willsch, Berat Yenilen, Renaud Sirdey, Stéphane Louise, Kristel Michielsen
Publikováno v:
Frontiers in Computer Science, Vol 6 (2024)
We benchmark Quantum Annealing (QA) vs. Simulated Annealing (SA) with a focus on the impact of the embedding of problems onto the different topologies of the D-Wave quantum annealers. The series of problems we study are especially designed instances
Externí odkaz:
https://doaj.org/article/2bcf1b94cf2742d4a8a05c6f8c54c184
Publikováno v:
Mathematics, Vol 11, Iss 19, p 4222 (2023)
Shor’s factoring algorithm is one of the most anticipated applications of quantum computing. However, the limited capabilities of today’s quantum computers only permit a study of Shor’s algorithm for very small numbers. Here, we show how large
Externí odkaz:
https://doaj.org/article/0fae737b43444bb4a945b80916f76ce3
Publikováno v:
Frontiers in Physics, Vol 8 (2020)
We use discrete-event simulation on a digital computer to study two different models of experimentally realizable quantum walks. The simulation models comply with Einstein locality, are as “realistic” as the one of the simple random walk in that
Externí odkaz:
https://doaj.org/article/1d307bfac6b1407b8318e86533390b58
Autor:
Hans De Raedt, Manpreet S. Jattana, Dennis Willsch, Madita Willsch, Fengping Jin, Kristel Michielsen
Publikováno v:
Frontiers in Physics, Vol 8 (2020)
We use discrete-event simulation to construct a subquantum model that can reproduce the quantum-theoretical prediction for the statistics of data produced by the Einstein-Podolsky-Rosen-Bohm experiment and an extension thereof. This model satisfies E
Externí odkaz:
https://doaj.org/article/c945fce3646c48f0b384d3e65d3d50fc
Publikováno v:
Computer Physics Communications, 278:108411. ELSEVIER SCIENCE BV
Computer physics communications 278, 108411 (2022). doi:10.1016/j.cpc.2022.108411
Computer physics communications 278, 108411 (2022). doi:10.1016/j.cpc.2022.108411
We study large-scale applications using a GPU-accelerated version of the massively parallel J\"ulich universal quantum computer simulator (JUQCS--G). First, we benchmark JUWELS Booster, a GPU cluster with 3744 NVIDIA A100 Tensor Core GPUs. Then, we u
Autor:
Edoardo Pasetto, Amer Delilbasic, Gabriele Cavallaro, Madita Willsch, Farid Melgani, Morris Riedel, Kristel Michielsen
Publikováno v:
IEEE 4903-4906 (2022). doi:10.1109/IGARSS46834.2022.9883963
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), IGARSS 2022, Kuala Lumpur, Malaysia, 2022-07-17-2022-07-22
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), IGARSS 2022, Kuala Lumpur, Malaysia, 2022-07-17-2022-07-22
Regression analysis has a crucial role in many Earth Observation (EO) applications. The increasing availability and recent development of new computing technologies motivate further research to expand the capabilities and enhance the performance of d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59b96edd2a66e6bb435d0794a5936af5
https://juser.fz-juelich.de/record/909756
https://juser.fz-juelich.de/record/909756
Autor:
Kristel Michielsen, Farid Melgani, Gabriele Cavallaro, Morris Riedel, Madita Willsch, Amer Delilbasic
Publikováno v:
IEEE 2608-2611 (2021). doi:10.1109/IGARSS47720.2021.9554802
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS : [Proceedings]-IEEE, 2021.-ISBN 978-1-6654-0369-6-doi:10.1109/IGARSS47720.2021.9554802
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS : [Proceedings]-IEEE, 2021.-ISBN 978-1-6654-0369-6-doi:10.1109/IGARSS47720.2021.9554802IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Brussels, Belgium, 2021-07-12-2021-07-16
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
IGARSS
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS : [Proceedings]-IEEE, 2021.-ISBN 978-1-6654-0369-6-doi:10.1109/IGARSS47720.2021.9554802
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS : [Proceedings]-IEEE, 2021.-ISBN 978-1-6654-0369-6-doi:10.1109/IGARSS47720.2021.9554802IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Brussels, Belgium, 2021-07-12-2021-07-16
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
IGARSS
Recent developments in Quantum Computing (QC) have paved the way for an enhancement of computing capabilities. Quantum Machine Learning (QML) aims at developing Machine Learning (ML) models specifically designed for quantum computers. The availabilit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01845c586f08da8f6346d40225a2c3eb
https://juser.fz-juelich.de/record/893824
https://juser.fz-juelich.de/record/893824
Publikováno v:
Physical review / A 101(1), 012327 (2020). doi:10.1103/PhysRevA.101.012327
Physical Review A, 101(1):012327. AMER PHYSICAL SOC
Physical Review A, 101(1):012327. AMER PHYSICAL SOC
The real-time flux dynamics of up to three superconducting quantum interference devices (SQUIDs) are studied by numerically solving the time-dependent Schr\"odinger equation. The numerical results are used to scrutinize the mapping of the flux degree
Publikováno v:
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), IGARSS 2020, Online event, Online event, 2020-09-27-2020-10-02
IGARSS
IEEE 1973-1976 (2020). doi:10.1109/IGARSS39084.2020.9323544
2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020, Online event, Hawaii, 2020-09-26-2020-10-02
IGARSS
IEEE 1973-1976 (2020). doi:10.1109/IGARSS39084.2020.9323544
2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020, Online event, Hawaii, 2020-09-26-2020-10-02
Support Vector Machine (SVM) is a popular supervised Machine Learning (ML) method that is widely used for classification and regression problems. Recently, a method to train SVMs on a D-Wave 2000Q Quantum Annealer (QA) was proposed for binary classif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c3280542dad2d794b4403023e43ba94
https://hdl.handle.net/2128/26385
https://hdl.handle.net/2128/26385
Autor:
Madita Willsch, Nick Karcher, Martin Spiecker, Ivan Takmakov, Ioan Pop, Dennis Rieger, Lukas Grünhaupt, Dennis Willsch, Wolfgang Wernsdorfer, Oliver Sander, Patrick Winkel, Alexey V. Ustinov, Nicolas Roch, Richard Gebauer, Daria Gusenkova, Kristel Michielsen, Francesco Valenti
Publikováno v:
Physical review applied 15(6), 064030 (2021). doi:10.1103/PhysRevApplied.15.064030
Physical review applied, 15 (6), Art. Nr.: 064030
Physical review applied, 15 (6), Art. Nr.: 064030
Reading out the state of superconducting artificial atoms typically relies on dispersive coupling to a readout resonator. For a given system noise temperature, increasing the circulating photon number $\bar{n}$ in the resonator enables a shorter meas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fd6566f2aa2f1e3765868f714803ed2