Daniel Justice
SEI Emerging Technology Center
Publications by Daniel Justice
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Using the Quantum Approximate Optimization Algorithm (QAOA) to Solve Binary-Variable Optimization Problems
August 30, 2022 • Podcast
Jason LarkinDaniel Justice
Jason Larkin and Daniel Justice, researchers in the SEI’s AI Division, discuss a paper outlining their efforts to simulate the performance of Quantum Approximate Optimization Algorithm (QAOA) for the Max-Cut problem.
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Evaluation of QAOA Based on the Approximation Ratio of Individual Samples
April 27, 2021 • Conference Paper
Jason LarkinMatías JonssonDaniel Justice
We simulate the performance of Quantum Approximate Optimization Algorithm (QAOA) for the Max-Cut problem and compare it with some of the best classical alternatives, for exact, approximate, and heuristic solutions.
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Perspectives on Quantum Computing: Education, Applications, and the Future of the Field
February 10, 2020 • Video
Jason LarkinDaniel JusticeMatías Jonsson
SEI Quantum Computing team members Dr. Jason Larkin, Daniel Justice, and Matias Jonsson discuss what Jonsson is learning as a student intern in quantum computing.
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