output
20052026
most citedOpportunities and challenges for quantum-assisted machine learning in near-term quantum computers

269 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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quant-ph2026

Physics-Guided Linear Mapper for Quantum Error Mitigation

Tulsi Chaudhari, Krishna Bhatia, Shalini Devendrababu +2

We introduce a novel physics-guided linear mapper (PGLM) for quantum error mitigation that uses seven distinct interpretable features derived from circuit complexity and device cal…

quant-ph2017★ 95 cited

Quantum-assisted Helmholtz machines: A quantum-classical deep learning framework for industrial datasets in near-term devices

Marcello Benedetti, John Realpe-Gómez, Alejandro Perdomo-Ortiz

Machine learning has been presented as one of the key applications for near-term quantum technologies, given its high commercial value and wide range of applicability. In this work…

quant-ph2017★ 269 cited

Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers

Alejandro Perdomo-Ortiz, Marcello Benedetti, John Realpe-Gómez +1

With quantum computing technologies nearing the era of commercialization and quantum supremacy, machine learning (ML) appears as one of the promising "killer" applications. Despite…

quant-ph2016★ 111 cited

Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models

Marcello Benedetti, John Realpe-Gómez, Rupak Biswas +1

Mainstream machine-learning techniques such as deep learning and probabilistic programming rely heavily on sampling from generally intractable probability distributions. There is i…