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Using the Quantum Approximate Optimization Algorithm (QAOA) to Solve Binary-Variable Optimization Problems
Manage episode 338237860 series 2487640
Innehåll tillhandahållet av Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.
In this podcast from the Carnegie Mellon University Software Engineering Institute, 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 and compare it with some of the best classical alternatives, for exact, approximate, and heuristic solutions.
419 episoder
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Manage episode 338237860 series 2487640
Innehåll tillhandahållet av Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.
In this podcast from the Carnegie Mellon University Software Engineering Institute, 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 and compare it with some of the best classical alternatives, for exact, approximate, and heuristic solutions.
419 episoder
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Liknande Software Engineering Institute (SEI) Podcast Series
The award-winning WIRED UK Podcast with James Temperton and the rest of the team. Listen every week for the an informed and entertaining rundown of latest technology, science, business and culture news. New episodes every Friday.
…
continue reading
Show notes are at https://stevelitchfield.com/sshow/chat.html
…
continue reading
Big tech is transforming every aspect of our world. But how? And at what cost? This season of Land of the Giants – The Twitter Fantasy – will tell the story of Twitter (X) at a crucial moment for the platform, exactly one year after Elon Musk took over. Hosted by Vox senior correspondent Peter Kafka, the four-episode season will survey the company's outsize influence on politics and culture. How did Twitter become the Internet’s town square, for better and for worse? And where is it heading, ...
…
continue reading
Hanselminutes is Fresh Air for Developers. A weekly commute-time podcast that promotes fresh technology and fresh voices. Talk and Tech for Developers, Life-long Learners, and Technologists.
…
continue reading
This is the audio podcast version of Troy Hunt's weekly update video published here: https://www.troyhunt.com/tag/weekly-update/
…
continue reading
We help founders make something people want.
…
continue reading
Agile for Humans™ is a weekly podcast dedicated to the individuals and interactions that make agile work. The goal is to help create safe and collaborative working environments where people are empowered to do their best work.
…
continue reading
Investor Shayle Kann is asking big questions about how to decarbonize the planet: How cheap can clean energy get? Will artificial intelligence speed up climate solutions? Where is the smart money going into climate technologies? Every week on Catalyst, Shayle explains the world of "climate tech" with prominent experts, investors, researchers, and executives. Produced by Latitude Media.
…
continue reading
The director’s commentary track for Daring Fireball. Long digressions on Apple, technology, design, movies, and more.
…
continue reading
Exploring React Native Together
…
continue reading
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