Quantum Computing and Simulation in the presence of errors
Institutskolloquium
- Datum: 04.04.2025
- Uhrzeit: 10:30 - 12:00
- Vortragender: Prof. Ignacio Cirac
- Prof. Ignacio Cirac is a Spanish theoretical physicist in the field of quantum information theory. With his collaborators, he introduced the first proposals of quantum computers, simulators, and repeaters with atoms, and developed a theory of tensor networks to describe quantum many-body systems. Ignacio Cirac graduated in Theoretical Physics at the Complutense University of Madrid (Spain) in 1988, and gained his PhD in 1991 at the same university. Between 1991 and 1996, he was Associate Professor at the University of Castilla-La Mancha (Spain), and spent eighteen months at the University of Colorado (US) working with Peter Zoller. From 1996 until 2001 he was Professor of Theoretical Physics at the University of Innsbruck (Austria). Since 2001 he is a member of the Max Planck Society and director at the Max Planck Institute of Quantum Optics (Garching, Germany). In 2002 he also became honorary professor at the Technical University of Munich. Prof. Cirac has won numerous awards, including the Max Planck Medal of the German Physical Society in 2018, the Bell Prize in Physics 2019 and the Micius Quantum Prize in 2019.
- Ort: IPP Garching
- Raum: Arnulf-Schlüter Lecture Hall in Building D2 and Zoom
- Gastgeber: IPP
- Kontakt: stefan.possanner@ipp.mpg.de
Advancements in quantum computing have enabled the development of small-scale quantum computers and simulators that adhere to the principles of quantum physics. Despite its rapid progress, those devices are not yet flawless and errors accumulate, posing serious challenges to their application to interesting problems. In this talk I will first address how those errors affect the results of both quantum computations and the simulation of quantum many-body systems. In particular, I will present several quantum simulation algorithms, and discuss the potentiality of displaying quantum advantage in the presence of imperfections. Finally, I will describe some new ingredients of such algorithms, like the preparation of highly entangled states, and discuss how they can be sped up with the help of measurements.