Nadir Samos Sáenz de Buruaga (INMA) I will review the barren plateaus (BPs) issue in the field of variational quantum algorithms(VQA) with a particular focus on those generated by an excess of randomness, providingan accessible introduction to the topic. I will also show that restricting the entanglementof the states seems not to be a good…
Welcome to the Spanish Network on Quantum Information (RITCE)

Quantum Information
Quantum information is the new language of Quantum Science, describing and explaining the structure of complex quantum systems, entanglement, and their potential for storing, encoding and processing information.

Quantum Technologies
Quantum mechanical systems can be used to enhance common tasks, such as metrology and sensing, as well as to build new forms of computation & cryptography that cannot be beaten by classical devices.

Quantum Simulation
Quantum simulation is the experimental control of atoms, molecules or even solid state devices, to simulate or solve interesting problems from Condensed Matter or Theoretical Physics.
The Spanish Network on Quantum Information (RITCE), promotes research in all of these fields, helping the establishment of collaborations inside the network and with international groups, and promoting the training of new scientists in these topics.
Recent news
- Online Seminar #7: About barren plateaus and quantum comlexity
- Online Seminar #6: Quantum magnonic devices: a flexible tool for quantu technology
Carlos González-Ballestero (Institute of theoretical physics – U Insbruck) Despite its tremendous success, microwave-based quantum technology has limitations that couldbe solved by a hybrid approach, i. e. by interfacing microwaves with another degree of freedomwith complementary properties. Spin waves in ferromagnets, and their quanta magnons, are idealcandidates as they show tuneable spectrum and nonlinearity, have…
- Online Seminar #5: Quantum-inspired solutions for privacy leaks in machine learning
Alejandro Pozas-Kerstjens (ICMAT) Vast amounts of data are routinely processed in machine learning pipelines, every time coveringmore aspects of our interactions with the world. However, the quest for performance is leavingother important aspects, such as privacy, on the side. For example, when the models processingthe data are made public, is the safety of the data…