activity
20142023
most citedChallenges and Opportunities in Quantum Machine Learning

709 citations · 767 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph20237 cited

Classical surrogate simulation of quantum systems with LOWESA

Manuel S. Rudolph, Enrico Fontana, Zoë Holmes +1

We introduce LOWESA as a classical algorithm for faithfully simulating quantum systems via a classically constructed surrogate expectation landscape. After an initial overhead to b…

quant-ph2023709 cited

Challenges and Opportunities in Quantum Machine Learning

M. Cerezo, Guillaume Verdon, Hsin-Yuan Huang +2

At the intersection of machine learning and quantum computing, Quantum Machine Learning (QML) has the potential of accelerating data analysis, especially for quantum data, with app…

quant-ph20233 cited

Quantum simulation of molecular response properties

Ashutosh Kumar, Ayush Asthana, Vibin Abraham +6

Accurate modeling of the response of molecular systems to an external electromagnetic field is challenging on classical computers, especially in the regime of strong electronic cor…

cond-mat.str-el20151 cited

Semion wave function and energetics in a chiral spin liquid on the Kagome lattice

L. Cincio, G. Vidal, B. Bauer

Recent years have seen the discovery of a chiral spin liquid state - a bosonic analogue of a fractional Quantum Hall state first put forward by Kalmeyer and Laughlin in 1987 - in s…

cond-mat.str-el201447 cited

Edge-entanglement spectrum correspondence in a nonchiral topological phase and Kramers-Wannier duality

Wen Wei Ho, Lukasz Cincio, Heidar Moradi +2

In a system with chiral topological order, there is a remarkable correspondence between the edge and entanglement spectra: the low-energy spectrum of the system in the presence of…