{"id":1111,"date":"2025-01-07T10:15:50","date_gmt":"2025-01-07T18:15:50","guid":{"rendered":"https:\/\/dornsife.usc.edu\/news-briefs\/?p=1111"},"modified":"2025-01-22T08:56:37","modified_gmt":"2025-01-22T16:56:37","slug":"quantum-solution-rusty-equipment","status":"publish","type":"post","link":"https:\/\/dornsife.usc.edu\/news-briefs\/news-brief\/2025\/01\/quantum-solution-rusty-equipment\/","title":{"rendered":"Quantum solution to rusty equipment? USC team\u2019s innovative approach wins prize"},"content":{"rendered":"\n\n\n\n\n \n \n\n\n\n\n\n\n\n
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Quantum solution to rusty equipment? USC team\u2019s innovative approach wins prize<\/h1>\n\n\n<\/div>\n \n \n By<\/span>USC Dornsife News Staff<\/a><\/strong>\n \n January 7, 2025<\/span>\n <\/div>\n<\/div>\n\n\n <\/div><\/div>\n\n \n \n\n\n\n\n\n\n\n
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A USC team has won the 2024 Quantum Computing Challenge. The winners were announced recently at the Q2B conference in California\u2019s Silicon Valley.<\/p>\n

\"A
Rosa Di Felice. (Photo: Nicola Montanari.)<\/figcaption><\/figure>\n

Rosa Di Felice<\/a>, professor of physics and astronomy and quantitative and computational biology at the USC Dornsife College of Letters, Arts and Sciences, and Naman Jain, a master\u2019s degree student at the USC Viterbi School of Engineering<\/a>, took top honors in the \u201cSmart Coating\u201d track of the competition. Their project focused on quantum computing to find ways to inhibit or prevent corrosion in materials used in the transportation industry.<\/p>\n

The duo \u2014 the smallest team among the contest finalists \u2014 took an innovative approach that could lead to significant advancements in protecting aircraft and automobile surfaces from corrosion, a major concern for manufacturers. Their work demonstrates the potential of quantum computing to revolutionize materials science and engineering across the transportation sector.<\/p>\n

The team\u2019s success \u2014 which includes a \u20ac30,000 prize \u2014 also highlights the growing importance of quantum computing in solving complex industrial problems. Quantum computers have the potential to perform certain calculations exponentially faster than classical computers, making them particularly suited for tackling challenges in materials science, optimization and simulation.<\/p>\n

In the automotive and aerospace industries, quantum computing could accelerate the development of new materials, improve manufacturing processes and enhance the design of complex systems. This technology may lead to more efficient and durable vehicles and aircraft, ultimately benefiting consumers and the environment.<\/p>\n

For Di Felice, the project marked a return to her early days as a physics scholar. \u201cSurface physics is what I did as a PhD student 30 years ago,\u201d she said, noting that their approach could be applied more broadly, such as in designing catalysts to make production of manufacturing materials more efficient.<\/p>\n

About the contest<\/strong><\/p>\n

The Quantum Computing Challenge launched in 2023 to encourage quantum computing researchers to advance solutions from the lab to practice in the transportation field. A jury of quantum computing experts teamed up with challenge sponsors Airbus and the BMW Group to select five winners from more than 100 submissions. Contestants were given access to quantum resources through Amazon Web Services.<\/span><\/p>\n\n\n\n<\/div>\n\n\n <\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

A USC team has won the 2024 Quantum Computing Challenge. The winners were announced recently at the Q2B conference in California\u2019s Silicon Valley.<\/p>\n","protected":false},"author":13,"featured_media":1113,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[21],"tags":[],"class_list":["post-1111","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-brief"],"acf":[],"yoast_head":"\nQuantum solution to rusty equipment? 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