[Profesores] Semana de + Charlas Cuánticas - Cirac y Kraus

Christian Schmiegelow schmiegelow en df.uba.ar
Mie Jun 3 17:00:00 -03 2026


Siguiendo el coloquio extraordinario de hoy, esta semana contamos también
con la presencia de dos figuras mundiales de la física cuántica: Juan
Ignacio Cirac y Barbara Kraus. Ambos son pioneros en el área de computación
e información cuántica.

El* jueves 4/6 a las 14hs* en el Aula Magna del Pabellón 1,
en el marco del ciclo de coloquios del Departamento de Física,
Ignacio Cirac presentará su charla titulada
*"Quantum Simulation in the presence of errors"*

El *viernes 5/6 a las 9:30hs* en el aula Federman,
Barbara Kraus presentará su charla titulada
*"Quantum cooling algorithms, comparison to other state preparation
algorithms & bounded error quantum simulation".*

*Juan Ignacio Cirac* (Max Planck Institute of Quantum Optics)
*Quantum Simulation in the presence of errors*
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.

*Barbara Kraus* (Munich Center for Quantum Science and Technology)

*Quantum cooling algorithms, comparison to other state preparation
algorithms & bounded error quantum simulation.*
I will present a comparison of the performance of different algorithms
for ground-state preparation in the presence of noise, focusing on
cooling protocols as proposed in [1], adiabatic evolution, and the
quantum approximate optimization algorithm (QAOA) [2]. Then I will
present a method to bound errors in quantum simulation, where
Hamiltonian and Lindbladian Learning is combined with the propagation
of their uncertainties into the simulated observables [3].
[1] D. Molpeceres, S. Lu, J. I. Cirac, and B. Kraus, “Quantum
algorithms for cooling: A simple case study,” Phys. Rev. Res. 7,
033162 (2025)
[2] D. Molpeceres, S. Lu, B. Kraus, and J. I. Cirac, in preparation
[3] T. Kraft, M. K. Joshi, W. Lam, T. Olsacher, F. Kranzl, J. Franke,
L. Kh Joshi, R. Blatt, A. Smerzi, D. Stilck França, B. Vermersch, BK,
Ch. F. Roos, P. Zoller, quant-ph/2511.23392 (2025).


-- 
Christian Schmiegelow
LIAF -  Laboratorio de Iones y Átomos Fríos
Departamento de Física & Instituto de Física de Buenos Aires, UBA-CONICET
Intendente Guiraldes 2160, Pabellon 1
(1428) Ciudad de Buenos Aires, Argentina
TE:  +54-11-5285-7502
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