Isaac Turtletaub

College of Engineering

Works (1)

Updated: April 11th, 2023 10:13

2020 article

Application of Quantum Machine Learning to VLSI Placement

PROCEEDINGS OF THE 2020 ACM/IEEE 2ND WORKSHOP ON MACHINE LEARNING FOR CAD (MLCAD '20), pp. 61–66.

By: I. Turtletaub n, G. Li n, M. Ibrahim n & P. Franzon n 

author keywords: Quantum Machine Learning; Balanced Min-Cut; Variational Quantum Eigensolver; Recursive Partitioning Placement
TL;DR: The Variational Quantum Eigensolver (VQE) is used to formulate a recursive Balanced Min-Cut (BMC) algorithm, and it is suggested that quantum machine learning techniques can lower error rates and allow for faster convergence to an optimal solution. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 16, 2021

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