![logo_sympa[1]](https://www.ritce2020.hbar.es/wp-content/uploads/elementor/thumbs/logo_sympa1-ozqyk04j9g8zgytnzlelvzgnj6h9spgucontwpinry.png "logo_sympa[1]"){kind=logo}
Interview: Antonio Acín (ICFO)
Quantum Mechanics is the nightmare of science communicators. The apparent obscurity of its rules and the unintuitive nature of many of its results often lead to articles where the words…
Read more
News
Interview: Verónica Fernández (CSIC)
This month we talk to Verónica Fernández Mármol, a CSIC researcher working on experimental quantum cryptography in Madrid. Read the full text here.
Interview: Verónica Fernández Mármol (CSIC)
Verónica Fernández Mármol is a young researcher leading a group in experimental Quantum Key Distribution at the Institute of Physical and Information Technologies. Veronica is a member of the Spanish…
Matrix Product States crash course
On the week of the 9th to the 13th of February, the QUINFOG group will impart a series of intensive lectures on practical and theoretical aspects of Matrix product states. The…
Molecular materials for quantum computing
Members of the RICE network organize a Symposium on “Molecular Materials for Quantum Computing” within the anual meeting of the European Research Materials Society (E-MRS). The 2015 E-MRS Fall Meeting…
New “Articles” section
In a modest effort to popularize the research done in this network, as well as to make the members of the network better known to the general public, we are…
New Spanish Network on Quantum Technologies
Dear all, the Spanish Network on Quantum Information and Quantum Technologies is now officially approved. This excellence network is funded by MINEICO through the Agencia Estatal de Investigación, starting on…
News channels, submissions & policy
In coordination with the specialized group on Quantum Information from the RSEF, this network provides ample coverage of news and announcements for the community through the following channels: A mailing…
Online seminar #1: Quantum Approximate Optimization Algorithm for Bayesian network structure learning
Vicente P. Soloviev (UPM) Bayesian network structure learning is an NP-hard problem that has been faced by anumber of traditional approaches in recent decades. In this work, a specific type…