George Li
College of Engineering
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Works (2)
Updated: April 5th, 2024 12:29
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.
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)
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 16, 2021
2019 article
Implementing NChooseK on IBM Q Quantum Computer Systems
REVERSIBLE COMPUTATION (RC 2019), Vol. 11497, pp. 209–223.
author keywords: IBM Q; Quantum computing; NChooseK
TL;DR:
This work implements a code generator that, given arbitrary parameters for N and K, generates code suitable for execution on IBM Q quantum hardware and assess the performance of the code generator, limitations in the size of circuit depth and number of gates, and proposed optimizations.
(via Semantic Scholar)
open access via semanticscholar.org (repository)
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure
(Web of Science)
Source: Web Of Science
Added: November 25, 2019