Quantum mechanics is at the heart of our technology and economy - the laser and the transistor are quantum devices - but its full potential is far from being realized. Recent technological advances in optics, nanoscience and engineering allow experimentalists to create artificial structures or put microscopic and mesoscopic systems under new manipulable conditions in which quantum phenomena play a fundamental role.

Quantum technologies exploit these effects with practical purposes. The objective of Quantum Science is to discover, study, and control quantum efects at a fundamental level. These are two sides of a virtuous circle: new technologies lead to the discovery and study of new phenomena that will lead to new technologies.

Our aim is  to control and understand quantum phenomena in a multidisciplinary intersection of  Quantum Information, Quantum optics and cold atoms, Quantum Control, Spintronics, Quantum metrology, Atom interferometry, Superconducting qubits and Circuit QED and Foundations of Quantum Mechanics.

QUINST is funded in part as a “Grupo Consolidado” from the Basque Government (IT472-10, IT986-16, IT1470-22)  and functions as a network of groups with their own funding, structure, and specific goals.  


Latest events

Seminar Seminar

Prof. Thomas Schulte-Herbrüggen, Technical University Munich, Department of Chemistry

When and where

From: 12/2012 To: 12/2016


2011/09/01, Prof. Thomas Schulte-Herbrüggen, Technical University Munich, Department of Chemistry

Place:  Sala de Seminarios del Departamento de Física Teórica e Historia de la Ciencia
Time: 15h
Title: Symmetry Principles in Quantum Simulation -- with Applications to Control of Closed and Open Systems

Elucidating quantum systems theory in terms of symmetry principles has triggered us in a number of recent advances:
(i) it leads to a new controllability criterion,
(ii) it guides the design of universal quantum hardware,
(iii) it governs which quantum system can simulate another one given, and
(iv) it specifies the limit between time-optimal control and
relaxation-optimised control of open systems.

How principles turn into practice is illustrated by practical applications in solid-state devices and circuit-qed. -- The  algorithmic tools are presented in a unified programming framework.