Jason Larkin
Software Engineering Institute
Publications by Jason Larkin
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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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Quantum Advantage Evaluation Framework
November 07, 2021 • Presentation
Jason Larkin
The goal of this project is quantum advantage (QA); learn how the SEI is working to solve practical DOD problems faster and to higher quality than any other alternatives.
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Quantum Advantage Evaluation Framework
November 05, 2021 • Video
Jason Larkin
This short video provides an introduction to a research topic presented at the SEI Research Review 2021.
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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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Poster - Quantum Advantage Evaluation Framework
November 03, 2020 • Poster
Jason Larkin
This presentation provides an overview of a framework to evaluate current and projected quantum computing advantage.
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Quantum Computing: The Quantum Advantage
September 17, 2020 • Podcast
Jason Larkin
Dr. Jason Larkin discusses the challenges of working in the NISQ era and the work that the SEI is doing in quantum computing.
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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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Projecting Quantum Computational Advantage Versus Classical State of the Art (video)
November 11, 2019 • Video
Jason Larkin
Watch SEI researcher Dr. Jason Larkin discuss research to predict when (or whether) quantum computing will be mission-capable for hard combinatorial optimization problems in software verification and validation (V&V).
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Projecting Quantum Computational Advantage Versus Classical State of the Art
October 28, 2019 • Presentation
Jason Larkin
This presentation reports on research to predict when (or whether) quantum computing will be mission-capable for hard combinatorial optimization problems in software V&V.
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Projecting Quantum Computational Advantage Versus Classical State of the Art
October 28, 2019 • Poster
Jason Larkin
This poster describes research to project when quantum computational advantage will outperform classical state of the art.
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Mission-Capable Quantum Computing for Software Verification and Validation
October 24, 2018 • Presentation
Jason Larkin
quantum computing
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