Speaker
Mrs
Orlane Zang
(Orange Innovation)
Description
Parameterized Quantum Circuits (PQCs) have emerged as a central
framework for variational algorithms in the NISQ regime, with major
applications in quantum simulation, combinatorial optimization, and,
more recently, quantum machine learning (QML). By developing a
new approach for computing dynamical Lie algebras associated with
quantum circuits combining parametrized gates and non-parametrized
entangling gates, we aim to extend the applicability of recent algebraic
results to architectures that are actually used in quantum machine
learning.
| Topic | Theoretical foundations of quantum learning |
|---|---|
| Additional Topic | Quantum variational circuits and their applications |
Authors
Dr
Daniel Juteau
(Université d'Amiens, France)
Grégoire Barrué
(Orange Innovation)
Mrs
Orlane Zang
(Orange Innovation)
Dr
Tony Quertier
(Orange Innovation)