activity
20092025
most citedSupervised learning with quantum enhanced feature spaces

2.5k citations · 8.3k across the 30 of their papers we have counts for

collaborators

30 papers

quant-ph2025

A Framework for Quantum Advantage

Olivia Lanes, Mourad Beji, Antonio D. Corcoles +12

As quantum computing approaches the threshold where certain tasks demonstrably outpace their classical machines, the need for a precise, clear, consensus-driven definition of quant…

quant-ph2023★ 85 cited

Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions

Yuri Alexeev, Maximilian Amsler, Paul Baity +124

Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of e…

cond-mat.mes-hall2021★ 23 cited

Cooling low-dimensional electron systems into the microkelvin regime

Lev V. Levitin, Harriet van der Vliet, Terje Theisen +10

Two-dimensional electron gases (2DEGs) with high mobility, engineered in semiconductor heterostructures host a variety of ordered phases arising from strong correlations, which eme…

quant-ph2021★ 63 cited

Covariant quantum kernels for data with group structure

Jennifer R. Glick, Tanvi P. Gujarati, Antonio D. Corcoles +4

The use of kernel functions is a common technique to extract important features from data sets. A quantum computer can be used to estimate kernel entries as transition amplitudes o…

quant-ph2021

Hardware-efficient random circuits to classify noise in a multi-qubit system

Jin-Sung Kim, Lev S. Bishop, Antonio D. Corcoles +3

In this work we extend a multi-qubit benchmarking technique known as the Binned Output Generation (BOG) in order to discriminate between coherent and incoherent noise sources in th…

quant-ph2021★ 21 cited

Circuit quantum electrodynamics (cQED) with modular quasi-lumped models

Zlatko K. Minev, Thomas G. McConkey, Maika Takita +2

Extracting the Hamiltonian of interacting quantum-information processing systems is a keystone problem in the realization of complex phenomena and large-scale quantum computers. Th…