456 citations · 1.7k across the 24 of their papers we have counts for
6 papers · 1 filter
A polynomial-time classical algorithm for noisy random circuit sampling
Dorit Aharonov, Xun Gao, Zeph Landau +2
We give a polynomial time classical algorithm for sampling from the output distribution of a noisy random quantum circuit in the regime of anti-concentration to within inverse poly…
Expressive Quantum Perceptrons for Quantum Neuromorphic Computing
Rodrigo Araiza Bravo, Khadijeh Najafi, Taylor L. Patti +2
Quantum neuromorphic computing (QNC) is a sub-field of quantum machine learning (QML) that capitalizes on inherent system dynamics. As a result, QNC can run on contemporary, noisy…
Interpretable Quantum Advantage in Neural Sequence Learning
Eric R. Anschuetz, Hong-Ye Hu, Jin-Long Huang +1
Quantum neural networks have been widely studied in recent years, given their potential practical utility and recent results regarding their ability to efficiently express certain…
Many-body localized hidden generative models
Weishun Zhong, Xun Gao, Susanne F. Yelin +1
Born machines are quantum-inspired generative models that leverage the probabilistic nature of quantum states. Here, we present a new architecture called many-body localized (MBL)…
Ultrafast adiabatic passages in ultrastrongly coupled light-matter systems
Xun Gao, Liwei Duan, Pinghua Tang +4
We have obtained the solutions of the multimode quantum Rabi model when all modes have identical frequencies , including dark states with at least $(K=1,2,3,\l…
Quantum Optimization of Maximum Independent Set using Rydberg Atom Arrays
Sepehr Ebadi, Alexander Keesling, Madelyn Cain +21
Realizing quantum speedup for practically relevant, computationally hard problems is a central challenge in quantum information science. Using Rydberg atom arrays with up to 289 qu…