research
∙
12/16/2022
A super-polynomial quantum advantage for combinatorial optimization problems
Combinatorial optimization - a field of research addressing problems tha...
share
research
∙
10/13/2022
Noise can be helpful for variational quantum algorithms
Saddle points constitute a crucial challenge for first-order gradient de...
research
∙
09/28/2022
Scalably learning quantum many-body Hamiltonians from dynamical data
The physics of a closed quantum mechanical system is governed by its Ham...
research
∙
06/02/2021
Single-component gradient rules for variational quantum algorithms
Many near-term quantum computing algorithms are conceived as variational...
research
∙
10/02/2019