Real-time two-axis control of a spin qubit

Autor: Fabrizio Berritta, Torbjørn Rasmussen, Jan A. Krzywda, Joost van der Heijden, Federico Fedele, Saeed Fallahi, Geoffrey C. Gardner, Michael J. Manfra, Evert van Nieuwenburg, Jeroen Danon, Anasua Chatterjee, Ferdinand Kuemmeth

Publikováno v: Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)

Abstract Optimal control of qubits requires the ability to adapt continuously to their ever-changing environment. We demonstrate a real-time control protocol for a two-electron singlet-triplet qubit with two fluctuating Hamiltonian parameters. Our ap

Externí odkaz: https://doaj.org/article/c903453854be4308bfa97a8fdf04f2c2

NetKet: A machine learning toolkit for many-body quantum systems

Autor: Giuseppe Carleo, Kenny Choo, Damian Hofmann, James E.T. Smith, Tom Westerhout, Fabien Alet, Emily J. Davis, Stavros Efthymiou, Ivan Glasser, Sheng-Hsuan Lin, Marta Mauri, Guglielmo Mazzola, Christian B. Mendl, Evert van Nieuwenburg, Ossian O’Reilly, Hugo Théveniaut, Giacomo Torlai, Filippo Vicentini, Alexander Wietek

Publikováno v: SoftwareX, Vol 10, Iss , Pp - (2019)

We introduce NetKet, a comprehensive open source framework for the study of many-body quantum systems using machine learning techniques. The framework is built around a general and flexible implementation of neural-network quantum states, which are u

Externí odkaz: https://doaj.org/article/d09a9ec97b6d44d190c7e5f50486a66c

A supervised learning algorithm for interacting topological insulators based on local curvature

Autor: Paolo Molignini, Antonio Zegarra, Evert van Nieuwenburg, R. Chitra, Wei Chen

Publikováno v: SciPost Physics, Vol 11, Iss 3, p 073 (2021)

Topological order in solid state systems is often calculated from the integration of an appropriate curvature function over the entire Brillouin zone. At topological phase transitions where the single particle spectral gap closes, the curvature funct

Externí odkaz: https://doaj.org/article/0af24cfa7a4d4644b1736ca842b19f01

Reusability report: comparing gradient descent and Monte Carlo tree search optimization of quantum annealing schedules

Autor: Matteo Michele Wauters, Evert Van Nieuwenburg

Publikováno v: Nature Machine Intelligence, 4(10), 810-813. NATURE PORTFOLIO

We provide a reusability report of the method presented by Chen et al. in "Optimizing quantum annealing schedules with Monte Carlo tree search enhanced with neural networks" and add further benchmarks on Max-Cut problems.
Comment: 5 pages 3 figu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c30a7999b6dd8a8b5c43460102545b9d
http://hdl.handle.net/1887/3590683

A supervised learning algorithm for interacting topological insulators based on local curvature

Autor: Evert van Nieuwenburg, Wei Chen, Ramasubramanian Chitra, Paolo Molignini, Antonio Zegarra

Publikováno v: Molignini, P, Zegarra, A, Van Nieuwenburg, E, Chitra, R & Chen, W 2021, ' A supervised learning algorithm for interacting topological insulators based on local curvature ', SciPost Physics, vol. 11, no. 3, pp. 1-16 . https://doi.org/10.21468/SciPostPhys.11.3.073
SciPost Physics
SciPost Physics, Vol 11, Iss 3, p 073 (2021)
SciPost Physics, 11 (3)

Topological order in solid state systems is often calculated from the integration of an appropriate curvature function over the entire Brillouin zone. At topological phase transitions where the single particle spectral gap closes, the curvature funct

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::208c210a3b0dcac7e0a8eae951222c88