ELFT HÍRADÓ

[Szeminárium koordinátor <szfi-seminar AT wigner.mta.hu>]

SZFI Seminar
Wei-Wei Zhang
(University of Sydney, host: Kiss Tamás)
Quantum topology identification with quantum walks and deep neural network
 Topological quantum materials are a promising platform for topological 
quantum computation and the design of novel components for quantum computers. 
A priority and necessary condition for both the discovery of novel 
topological quantum systems and the analysis of novel topologically protected 
edge modes is the identification of topological invariants for quantum 
matters. We have shown that continuous-time quantum walks governed by a 
two-dimensional spin-orbit lattice Hamiltonian can reveal transitions between 
topological phases, and the corresponding experimental implementation with 
ultra-cold atoms. In this talk, I will present a universal automatic method 
for topology identification which first combines quantum walks and Deep 
Neural Network. Considering the well developed experimental technologies for 
quantum walks and the great learning ability of deep neural network, our work 
enables the efficient discovery and analysis of novel  topological materials 
and therefore the design of a practical quantum computer.[1] 
https://arxiv.org/abs/1811.12630[2] 
https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.121.250403[3] 
https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.119.197401Thursday, 
26 September 2019, 10:00
Wigner FK SZFI, Bldg. 1, 2nd floor auditorium
Language of the talk: English
All interested are welcome!
Róbert Juhászszfi-seminar AT wigner.mta.hu