Zobrazeno 1 - 10
of 1 370
pro vyhledávání: '"Gresch A"'
Autor:
Nützel, Ludwig, Gresch, Alexander, Hehn, Lukas, Marti, Lucas, Freund, Robert, Steiner, Alex, Marciniak, Christian D., Eckstein, Timo, Stockinger, Nina, Wolf, Stefan, Monz, Thomas, Kühn, Michael, Hartmann, Michael J.
Quantum chemical calculations are among the most promising applications for quantum computing. Implementations of dedicated quantum algorithms on available quantum hardware were so far, however, mostly limited to comparatively simple systems without
Externí odkaz:
http://arxiv.org/abs/2408.10801
Autor:
Cargioli, Alessio, Piciocchi, Diego, Bertrand, Mathieu, Maulini, Richard, Gresch, Tobias, Muller, Antonine, Scalari, Giacomo, Faist, Jerome
In this work, we demonstrate that in a regime of strong modulation, by generating pulses of the length of the order of a few cavity lifetimes (hundreds of ps), a broadband quantum cascade laser can be driven to lase on a bandwidth (250cm-1) limited b
Externí odkaz:
http://arxiv.org/abs/2311.13496
Autor:
Marie A. Labouesse, Maria Wilhelm, Zacharoula Kagiampaki, Andrew G. Yee, Raphaelle Denis, Masaya Harada, Andrea Gresch, Alina-Măriuca Marinescu, Kanako Otomo, Sebastiano Curreli, Laia Serratosa Capdevila, Xuehan Zhou, Reto B. Cola, Luca Ravotto, Chaim Glück, Stanislav Cherepanov, Bruno Weber, Xin Zhou, Jason Katner, Kjell A. Svensson, Tommaso Fellin, Louis-Eric Trudeau, Christopher P. Ford, Yaroslav Sych, Tommaso Patriarchi
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-22 (2024)
Abstract Genetically-encoded dopamine (DA) sensors enable high-resolution imaging of DA release, but their ability to detect a wide range of extracellular DA levels, especially tonic versus phasic DA release, is limited by their intrinsic affinity. H
Externí odkaz:
https://doaj.org/article/edad0bcf8205400a8af1560d0567e9ed
Autor:
Gresch, Alexander, Kliesch, Martin
Estimation of the energy of quantum many-body systems is a paradigmatic task in various research fields. In particular, efficient energy estimation may be crucial in achieving a quantum advantage for a practically relevant problem. For instance, the
Externí odkaz:
http://arxiv.org/abs/2301.03385
Autor:
Reto B Cola, Salome N Niethammer, Preethi Rajamannar, Andrea Gresch, Musadiq A Bhat, Kevin Assoumou, Elyse T Williams, Patrick Hauck, Nina Hartrampf, Dietmar Benke, Miriam Stoeber, Gil Levkowitz, Sarah Melzer, Tommaso Patriarchi
Publikováno v:
eLife, Vol 13 (2024)
Class-B1 G-protein-coupled receptors (GPCRs) are an important family of clinically relevant drug targets that remain difficult to investigate via high-throughput screening and in animal models. Here, we engineered PAClight1P78A, a novel genetically e
Externí odkaz:
https://doaj.org/article/83a204a88f8b464d90811cb0b5e39796
Autor:
Bolik, Nikolai, Groiseau, Caspar, Clark, Jerry H., Gresch, Alexander, Dadras, Siamak, Summy, Gil S., Liu, Yingmei, Wimberger, Sandro
Publikováno v:
Phys. Rev. A 106, 033307 (2022)
Over the last decade there have been many advances in studies of quantum walks (QWs) including a momentum-space QW recently realized in our spinor Bose-Einstein condensate system. This QW possessed behaviors that generally agreed with theoretical pre
Externí odkaz:
http://arxiv.org/abs/2205.07732
Autor:
Dawid, Anna, Arnold, Julian, Requena, Borja, Gresch, Alexander, Płodzień, Marcin, Donatella, Kaelan, Nicoli, Kim A., Stornati, Paolo, Koch, Rouven, Büttner, Miriam, Okuła, Robert, Muñoz-Gil, Gorka, Vargas-Hernández, Rodrigo A., Cervera-Lierta, Alba, Carrasquilla, Juan, Dunjko, Vedran, Gabrié, Marylou, Huembeli, Patrick, van Nieuwenburg, Evert, Vicentini, Filippo, Wang, Lei, Wetzel, Sebastian J., Carleo, Giuseppe, Greplová, Eliška, Krems, Roman, Marquardt, Florian, Tomza, Michał, Lewenstein, Maciej, Dauphin, Alexandre
In this book, we provide a comprehensive introduction to the most recent advances in the application of machine learning methods in quantum sciences. We cover the use of deep learning and kernel methods in supervised, unsupervised, and reinforcement
Externí odkaz:
http://arxiv.org/abs/2204.04198
We are interested in how quantum data can allow for practical solutions to otherwise difficult computational problems. A notoriously difficult phenomenon from quantum many-body physics is the emergence of many-body localization (MBL). So far, is has
Externí odkaz:
http://arxiv.org/abs/2202.08853
Publikováno v:
In Cognition April 2024 245
Autor:
Huber, Sebastiaan P., Bosoni, Emanuele, Bercx, Marnik, Bröder, Jens, Degomme, Augustin, Dikan, Vladimir, Eimre, Kristjan, Flage-Larsen, Espen, Garcia, Alberto, Genovese, Luigi, Gresch, Dominik, Johnston, Conrad, Petretto, Guido, Poncé, Samuel, Rignanese, Gian-Marco, Sewell, Christopher J., Smit, Berend, Tseplyaev, Vasily, Uhrin, Martin, Wortmann, Daniel, Yakutovich, Aliaksandr V., Zadoks, Austin, Zarabadi-Poor, Pezhman, Zhu, Bonan, Marzari, Nicola, Pizzi, Giovanni
Publikováno v:
npj Comput Mater 7, 136 (2021)
The prediction of material properties through electronic-structure simulations based on density-functional theory has become routinely common, thanks, in part, to the steady increase in the number and robustness of available simulation packages. This
Externí odkaz:
http://arxiv.org/abs/2105.05063