Date: Wednesday, February 18
Aula Gris 2 / 11:30
Speaker: Daniel Molpeceres (TU Munich)
Título: Quantum Algorithms Based on Cooling
Abstract: The purpose of this work is to study different methods for nature-inspired algorithmic cooling of physical systems, which rely on energy transfer between the system and a cool bath. These algorithms are suitable for preparation of QMB ground states, and are therefore an alternative to other well-known procedures such as variational or adiabatic algorithm, which have their own limitations. The aim of the paper is to develop this theory, and try to find in what regimes it works best, such that it can be used as an alternative or in collaboration with the previous methods. We will focus on a free-fermion model with hoppings in a 1D lattice and a certain distribution of auxiliary systems per site, try to find regimes in which the system reaches the ground state, and then extrapolate what we learn from this model into a more general noisy setting. The main questions to address are how the performance changes with the noise that may appear in an experimental setting, as well as a comparison with other methods such as adiabatic algorithm or QAOA.
