3 papers
cond-mat.str-el2026
Concentration-Free Quantum Kernel Learning in the Rydberg Blockade
Ayana Sarkar, Martin Schnee, Sangeeth Das Kallullathil +4
Quantum kernel methods (QKMs) offer an appealing framework for machine learning on near-term quantum computers. However, QKMs generically suffer from exponential concentration, req…
quant-ph2025
Trotter simulation of vibrational Hamiltonians on a quantum computer
Shreyas Malpathak, Sangeeth Das Kallullathil, Ignacio Loaiza +3
Simulating vibrational dynamics is essential for understanding molecular structure, unlocking useful applications such as vibrational spectroscopy for high-fidelity chemical detect…
quant-ph2024
Simulating Vibrational Dynamics on Bosonic Quantum Devices
Shreyas Malpathak, Sangeeth Das Kallullathil, Artur F. Izmaylov
Bosonic quantum devices, which utilize harmonic oscillator modes to encode information, are emerging as a promising alternative to conventional qubit-based quantum devices, especia…