Zobrazeno 1 - 10
of 337
pro vyhledávání: '"MEYER, JOHANNES"'
Characterizing quantum systems is a fundamental task that enables the development of quantum technologies. Various approaches, ranging from full tomography to instances of classical shadows, have been proposed to this end. However, quantum states tha
Externí odkaz:
http://arxiv.org/abs/2407.12916
Quantum machine learning aims to improve learning methods through the use of quantum computers. If it is to ever realize its potential, many obstacles need to be overcome. A particularly pressing one arises at the prediction stage because the outputs
Externí odkaz:
http://arxiv.org/abs/2406.13812
Autor:
Ke, Wen-Fong, Meyer, Johannes H.
We show that there exist zero-symmetric simple nearrings with identity which are not equiprime, solving a longstanding open problem.
Externí odkaz:
http://arxiv.org/abs/2405.12597
Autor:
Petek, Kürsat, Vödisch, Niclas, Meyer, Johannes, Cattaneo, Daniele, Valada, Abhinav, Burgard, Wolfram
Sensor setups of robotic platforms commonly include both camera and LiDAR as they provide complementary information. However, fusing these two modalities typically requires a highly accurate calibration between them. In this paper, we propose MDPCali
Externí odkaz:
http://arxiv.org/abs/2404.17298
Autor:
Nielsen, Jens A. H., Kicinski, Mateusz, Arge, Tummas N., Vijayadharan, Kannan, Foldager, Jonathan, Borregaard, Johannes, Meyer, Johannes Jakob, Neergaard-Nielsen, Jonas S., Gehring, Tobias, Andersen, Ulrik L.
Variational quantum algorithms (VQAs) are hybrid quantum-classical approaches used for tackling a wide range of problems on noisy intermediate-scale quantum (NISQ) devices. Testing these algorithms on relevant hardware is crucial to investigate the e
Externí odkaz:
http://arxiv.org/abs/2312.13870
Autor:
Sweke, Ryan, Recio, Erik, Jerbi, Sofiene, Gil-Fuster, Elies, Fuller, Bryce, Eisert, Jens, Meyer, Johannes Jakob
Quantum machine learning is arguably one of the most explored applications of near-term quantum devices. Much focus has been put on notions of variational quantum machine learning where parameterized quantum circuits (PQCs) are used as learning model
Externí odkaz:
http://arxiv.org/abs/2309.11647
In quantum metrology, one of the major applications of quantum technologies, the ultimate precision of estimating an unknown parameter is often stated in terms of the Cram\'er-Rao bound. Yet, the latter is no longer guaranteed to carry an operational
Externí odkaz:
http://arxiv.org/abs/2307.06370
Autor:
Meyer, Johannes
After the introduction of smartphones and smartwatches, AR glasses are considered the next breakthrough in the field of wearables. While the transition from smartphones to smartwatches was based mainly on established display technologies, the display
Externí odkaz:
http://arxiv.org/abs/2212.03189
Publikováno v:
Nature Phys. (2024)
Quantum error mitigation has been proposed as a means to combat unwanted and unavoidable errors in near-term quantum computing without the heavy resource overheads required by fault tolerant schemes. Recently, error mitigation has been successfully a
Externí odkaz:
http://arxiv.org/abs/2210.11505
Publikováno v:
Phys. Rev. Lett. 131, 100803 (2023)
The advent of noisy intermediate-scale quantum computers has put the search for possible applications to the forefront of quantum information science. One area where hopes for an advantage through near-term quantum computers are high is quantum machi
Externí odkaz:
http://arxiv.org/abs/2206.11740