Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Cervera Lierta, Alba"'
Autor:
Farreras, Marc, Cervera-Lierta, Alba
The field of quantum computing has grown fast in recent years, both in theoretical advancements and the practical construction of quantum computers. These computers were initially proposed, among other reasons, to efficiently simulate and comprehend
Externí odkaz:
http://arxiv.org/abs/2410.21143
Autor:
Casas, Berta, Cervera-Lierta, Alba
Publikováno v:
Phys. Rev. A 107, 062612 (2023)
Quantum machine learning is the field that aims to integrate machine learning with quantum computation. In recent years, the field has emerged as an active research area with the potential to bring new insights to classical machine learning problems.
Externí odkaz:
http://arxiv.org/abs/2302.03389
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
Autor:
Krenn, Mario, Pollice, Robert, Guo, Si Yue, Aldeghi, Matteo, Cervera-Lierta, Alba, Friederich, Pascal, Gomes, Gabriel dos Passos, Häse, Florian, Jinich, Adrian, Nigam, AkshatKumar, Yao, Zhenpeng, Aspuru-Guzik, Alán
Publikováno v:
Nature Review Physics 4, 761 (2022)
Imagine an oracle that correctly predicts the outcome of every particle physics experiment, the products of every chemical reaction, or the function of every protein. Such an oracle would revolutionize science and technology as we know them. However,
Externí odkaz:
http://arxiv.org/abs/2204.01467
Autor:
Smith, Kaitlin N., Ravi, Gokul Subramanian, Alexander, Thomas, Bronn, Nicholas T., Carvalho, Andre, Cervera-Lierta, Alba, Chong, Frederic T., Chow, Jerry M., Cubeddu, Michael, Hashim, Akel, Jiang, Liang, Lanes, Olivia, Otten, Matthew J., Schuster, David I., Gokhale, Pranav, Earnest, Nathan, Galda, Alexey
Quantum information processing holds great promise for pushing beyond the current frontiers in computing. Specifically, quantum computation promises to accelerate the solving of certain problems, and there are many opportunities for innovation based
Externí odkaz:
http://arxiv.org/abs/2202.13600
Autor:
Weber, Maurice, Anand, Abhinav, Cervera-Lierta, Alba, Kottmann, Jakob S., Kyaw, Thi Ha, Li, Bo, Aspuru-Guzik, Alán, Zhang, Ce, Zhao, Zhikuan
Publikováno v:
Phys. Rev. Research 4, 033217, 2022
Near-term quantum computation holds potential across multiple application domains. However, imperfect preparation and evolution of states due to algorithmic and experimental shortcomings, characteristic in the near-term implementation, would typicall
Externí odkaz:
http://arxiv.org/abs/2110.09793
Publikováno v:
Quantum 6, 836 (2022)
Logic Artificial Intelligence (AI) is a subfield of AI where variables can take two defined arguments, True or False, and are arranged in clauses that follow the rules of formal logic. Several problems that span from physical systems to mathematical
Externí odkaz:
http://arxiv.org/abs/2109.13273
Autor:
Flam-Shepherd, Daniel, Wu, Tony, Gu, Xuemei, Cervera-Lierta, Alba, Krenn, Mario, Aspuru-Guzik, Alan
Publikováno v:
Nature Machine Intelligence 4, 544 (2022)
Quantum physics experiments produce interesting phenomena such as interference or entanglement, which are core properties of numerous future quantum technologies. The complex relationship between the setup structure of a quantum experiment and its en
Externí odkaz:
http://arxiv.org/abs/2109.02490
Publikováno v:
Phys. Rev. Applied 17, 024062 (2022)
Multipartite entanglement is one of the core concepts in quantum information science with broad applications that span from condensed matter physics to quantum physics foundations tests. Although its most studied and tested forms encompass two-dimens
Externí odkaz:
http://arxiv.org/abs/2104.05627
Autor:
Bharti, Kishor, Cervera-Lierta, Alba, Kyaw, Thi Ha, Haug, Tobias, Alperin-Lea, Sumner, Anand, Abhinav, Degroote, Matthias, Heimonen, Hermanni, Kottmann, Jakob S., Menke, Tim, Mok, Wai-Keong, Sim, Sukin, Kwek, Leong-Chuan, Aspuru-Guzik, Alán
Publikováno v:
Rev. Mod. Phys. 94, 015004 (2022)
A universal fault-tolerant quantum computer that can solve efficiently problems such as integer factorization and unstructured database search requires millions of qubits with low error rates and long coherence times. While the experimental advanceme
Externí odkaz:
http://arxiv.org/abs/2101.08448