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20082020
most citedOpportunities and challenges for quantum-assisted machine learning in near-term quantum computers

269 citations · 535 across the 10 of their papers we have counts for

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quant-ph2020

Embodied observations from an intrinsic perspective can entail quantum dynamics

John Realpe-Gomez

After centuries of research, how subjective experience relates to physical phenomena remains unclear. Recent strategies attempt to identify the physical correlates of experience. L…

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-ph2017★ 101 cited

A NASA Perspective on Quantum Computing: Opportunities and Challenges

Rupak Biswas, Zhang Jiang, Kostya Kechezhi +10

In the last couple of decades, the world has seen several stunning instances of quantum algorithms that provably outperform the best classical algorithms. For most problems, howeve…

quant-ph2008★ 1 cited

Cooper Pair Boxes Weakly Coupled to External Environments

F. Benatti, R. Floreanini, J. Realpe-Gomez

We study the behaviour of charge oscillations in Superconducting Cooper Pair Boxes weakly interacting with an environment. We found that, due to the noise and dissipation induced b…