Digitized counterdiabatic quantum algorithm for protein folding
We propose a hybrid classical-quantum digitized counterdiabatic algorithm to tackle the
protein-folding problem on a tetrahedral lattice. Digitized counterdiabatic quantum …
protein-folding problem on a tetrahedral lattice. Digitized counterdiabatic quantum …
Symmetric derivatives of parametrized quantum circuits
Symmetries are crucial for tailoring parametrized quantum circuits to applications, due to
their capability to capture the essence of physical systems. In this work, we shift the focus …
their capability to capture the essence of physical systems. In this work, we shift the focus …
Framework for learning and control in the classical and quantum domains
Control and learning are key to technological advancement, both in the classical and
quantum domains, yet their interrelationship is insufficiently clear in the literature, especially …
quantum domains, yet their interrelationship is insufficiently clear in the literature, especially …
Information flow in parameterized quantum circuits
In this work, we introduce a new way to quantify information flow in quantum systems,
especially for parameterized quantum circuits (PQCs). We use a graph representation of the …
especially for parameterized quantum circuits (PQCs). We use a graph representation of the …
Neutron-proton pairing correlations described on quantum computers
J Zhang, D Lacroix, Y Beaujeault-Taudiere - arxiv preprint arxiv …, 2024 - arxiv.org
The ADAPT-VQE approach is used to solve the neutron-proton pairing problem in atomic
nuclei. This variational approach is considered today as one of the most powerful methods …
nuclei. This variational approach is considered today as one of the most powerful methods …
Hamiltonians, groups, graphs and ans\" atze
One promising application of near-term quantum devices is to prepare trial wavefunctions
using short circuits for solving different problems via variational algorithms. For this purpose …
using short circuits for solving different problems via variational algorithms. For this purpose …