2025-10-09 09:04 |
Detailed record - Similar records
|
2025-10-08 10:17 |
Detailed record - Similar records
|
2025-10-07 17:58 |
Detailed record - Similar records
|
2025-10-07 15:30 |
[FZJ-2025-04051]
Journal Article
Lively, K. ; Bode, T. ; Szangolies, J. ; et al
Noise robust detection of quantum phase transitions
Quantum computing allows for the manipulation of highly correlated states whose properties quickly go beyond the capacity of any classical method to calculate. Thus one natural problem which could lend itself to quantum advantage is the study of ground-states of condensed matter models, and the transitions between them. [...]
OpenAccess: PDF;
Detailed record - Similar records
|
2025-10-07 15:20 |
Detailed record - Similar records
|
2025-10-07 14:58 |
Detailed record - Similar records
|
2025-10-07 13:59 |
[FZJ-2025-04036]
Journal Article/Contribution to a conference proceedings/Contribution to a book
van der Vlag, M. ; Yegenoglu, A. ; Jimenez-Romero, C. ; et al
Complexity and Criticality in Neuro-Inspired Reservoirs
2026[Ebook] Artificial Neural Networks and Machine Learning – ICANN 2025 : 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9–12, 2025, Proceedings, Part I / Senn, Walter ; Sanguineti, Marcello ; Saudargiene, Ausra ; Tetko, Igor ; Villa, Alessandro E. P. ; Jirsa, Viktor K. ; Bengio, Yoshua 1st ed. 2026, Cham : Springer Nature Switzerland, 2026, 34th International Conference on Artificial Neural Networks, ICANN, KaunasKaunas, Lithuania, 9 Sep 2025 - 12 Sep 20252025-09-092025-09-12
Artificial Neural Networks and Machine Learning – ICANN 2025 / Senn, Walter (Editor) [https://orcid.org/0000-0003-3622-0497] ; Cham : Springer Nature Switzerland, 2026, Chapter 52 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-032-04557-7=978-3-032-04558-4 ; doi:10.1007/978-3-032-04558-4 16068(LNCS), : 1st ed. 2026, 645 - 657 (2026) [10.1007/978-3-032-04558-4_52]2026
Understanding information propagation and computational capabilities in large-scale brain models is crucial for advancing both neuroscience and neuro-inspired computing. It remains unknown how complexity affects the performance of simulated biological networks in predicting non-linear dynamics. [...]
OpenAccess: PDF; External link: Fulltext
Detailed record - Similar records
|
2025-10-07 12:07 |
[FZJ-2025-04032]
Journal Article
Shapiro, D. ; Weber, Y. ; Bode, T. ; et al
Digital-analog simulations of Schrödinger cat states in the Dicke-Ising model
The Dicke-Ising model, one of the few paradigmatic models of matter-light interaction, exhibits a superradiant quantum phase transition above a critical coupling strength. However, in natural optical systems, its experimental validation is hindered by a “no-go theorem.” Here, we propose a digital-analog quantum simulator for this model based on an ensemble of interacting qubits coupled to a single-mode photonic resonator. [...]
OpenAccess: PDF;
Detailed record - Similar records
|
2025-10-07 11:43 |
[FZJ-2025-04031]
Journal Article
Bishop, G. ; Bagrets, D. ; Wilhelm, F. K.
Quantum algorithm for Green's-function measurements in the Fermi-Hubbard model
In the framework of the hybrid quantum-classical variational cluster approach to strongly correlated electron systems one of the goals of a quantum subroutine is to find single-particle correlation functions of lattice fermions in polynomial time. Previous works suggested to use variants of the Hadamard test for this purpose, which requires an implementation of controlled single-particle fermionic operators. [...]
OpenAccess: PDF;
Detailed record - Similar records
|
2025-10-07 10:18 |
Detailed record - Similar records
|
|
|