61 citations · 82 across the 5 of their papers we have counts for
3 papers · 1 filter
Quantum simulation of Fermi-Hubbard model based on transmon qudit interaction
Arian Vezvaee, Nathan Earnest-Noble, Khadijeh Najafi
The Fermi-Hubbard model, a fundamental framework for studying strongly correlated phenomena could significantly benefit from quantum simulations when exploring non-trivial settings…
Pulse-efficient quantum machine learning
André Melo, Nathan Earnest-Noble, Francesco Tacchino
Quantum machine learning algorithms based on parameterized quantum circuits are promising candidates for near-term quantum advantage. Although these algorithms are compatible with…
Quantum kernels for real-world predictions based on electronic health records
Zoran Krunic, Frederik F. Flöther, George Seegan +2
In recent years, research on near-term quantum machine learning has explored how classical machine learning algorithms endowed with access to quantum kernels (similarity measures)…