4 papers · 1 filter
Probabilistic Design of Parametrized Quantum Circuits through Local Gate Modifications
Grier M. Jones, Aviraj Newatia, Alexander Lao +3
Within quantum machine learning, parametrized quantum circuits provide flexible quantum models, but their performance is often highly task-dependent, making manual circuit design c…
Parametrized Quantum Circuit Learning for Quantum Chemical Applications
Grier M. Jones, Viki Kumar Prasad, Ulrich Fekl +1
In the field of quantum machine learning (QML), parametrized quantum circuits (PQCs) -- constructed using a combination of fixed and tunable quantum gates -- provide a promising hy…
Analyzing Common Electronic Structure Theory Algorithms for Distributed Quantum Computing
Grier M. Jones, Hans-Arno Jacobsen
To move towards the utility era of quantum computing, many corporations have posed distributed quantum computing (DQC) as a framework for scaling the current generation of devices…
Distributed Quantum Computing for Chemical Applications
Grier M. Jones, Hans-Arno Jacobsen
In recent years, interest in quantum computing has increased due to technological advances in quantum hardware and algorithms. Despite the promises of quantum advantage, the applic…