61 citations · 82 across the 5 of their papers we have counts for
5 papers
Observation of Robust and Coherent Non-Abelian Hadron Dynamics on Noisy Quantum Processors
Fran Ilčić, Ritajit Majumdar, Emil Mathew +3
The real-time evolution of strongly interacting matter remains a frontier of fundamental physics, as classical simulations are hampered by exponential Hilbert space growth and rapi…
Enhanced Prediction of CAR T-Cell Cytotoxicity with Quantum-Kernel Methods
Filippo Utro, Meltem Tolunay, Kahn Rhrissorrakrai +6
Chimeric antigen receptor (CAR) T-cells are T-cells engineered to recognize and kill specific tumor cells. Through their extracellular domains, CAR T-cells bind tumor cell antigens…
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)…