{"id":11627,"date":"2025-09-28T23:37:09","date_gmt":"2025-09-28T14:37:09","guid":{"rendered":"https:\/\/www.ibs.re.kr\/bimag\/?post_type=tribe_events&#038;p=11627"},"modified":"2025-10-04T15:43:34","modified_gmt":"2025-10-04T06:43:34","slug":"simulating-the-spread-of-infection-in-networks-with-quantum-computers-shingo-gibo","status":"publish","type":"tribe_events","link":"https:\/\/www.ibs.re.kr\/bimag\/event\/simulating-the-spread-of-infection-in-networks-with-quantum-computers-shingo-gibo\/","title":{"rendered":"Simulating the Spread of Infection in Networks with Quantum Computers &#8211; Shingo Gibo"},"content":{"rendered":"<p>In this talk, we discuss the paper &#8220;Simulating the Spread of Infection in Networks with Quantum Computers&#8221; by Xiaoyang Wang, Yinchenguang Lyu, Changyu Yao and Xiao Yuan, Physical Review Applied, vol.19, 064035 (2023).<\/p>\n<p><strong>Abstract<\/strong><\/p>\n<p>We propose to use quantum computers to simulate infection spreading in networks. We first show the analogy between the infection distribution and spin-lattice configurations with Ising-type interactions. Then, since the spreading process can be modeled as a classical Markovian process, we show that the spreading process can be simulated using the evolution of a quantum thermal dynamic model with a parameterized Hamiltonian. In particular, we analytically and numerically analyze the evolution behavior of the Hamiltonian, and prove that the evolution simulates a classical Markovian process, which describes the well-known epidemiological stochastic susceptible and infectious (SI) model. A practical method to determine the parameters of the thermal dynamic Hamiltonian from epidemiological inputs is exhibited. As an example, we simulate the infection spreading process of the SARS-Cov-2 variant Omicron in a small-world network.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this talk, we discuss the paper &#8220;Simulating the Spread of Infection in Networks with Quantum Computers&#8221; by Xiaoyang Wang, Yinchenguang Lyu, Changyu Yao and Xiao Yuan, Physical Review Applied, &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.ibs.re.kr\/bimag\/event\/simulating-the-spread-of-infection-in-networks-with-quantum-computers-shingo-gibo\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Simulating the Spread of Infection in Networks with Quantum Computers &#8211; Shingo Gibo&#8221;<\/span><\/a><\/p>\n","protected":false},"author":11,"featured_media":0,"template":"","meta":{"_editorskit_title_hidden":false,"_editorskit_reading_time":0,"_editorskit_is_block_options_detached":false,"_editorskit_block_options_position":"{}","_uag_custom_page_level_css":"","_tribe_events_status":"","_tribe_events_status_reason":"","footnotes":""},"tags":[],"tribe_events_cat":[219],"class_list":["post-11627","tribe_events","type-tribe_events","status-publish","hentry","tribe_events_cat-journal-club","cat_journal-club"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Simulating the Spread of Infection in Networks with Quantum Computers - Shingo Gibo - Biomedical Mathematics Group<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ibs.re.kr\/bimag\/event\/simulating-the-spread-of-infection-in-networks-with-quantum-computers-shingo-gibo\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Simulating the Spread of Infection in Networks with Quantum Computers - Shingo Gibo - Biomedical Mathematics Group\" \/>\n<meta property=\"og:description\" content=\"In this talk, we discuss the paper &#8220;Simulating the Spread of Infection in Networks with Quantum Computers&#8221; 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