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DTSTART;TZID=Asia/Seoul:20251017T100000
DTEND;TZID=Asia/Seoul:20251017T120000
DTSTAMP:20260422T215851
CREATED:20250928T143709Z
LAST-MODIFIED:20251004T064334Z
UID:11627-1760695200-1760702400@www.ibs.re.kr
SUMMARY:Simulating the Spread of Infection in Networks with Quantum Computers - Shingo Gibo
DESCRIPTION:In this talk\, we discuss the paper “Simulating the Spread of Infection in Networks with Quantum Computers” by Xiaoyang Wang\, Yinchenguang Lyu\, Changyu Yao and Xiao Yuan\, Physical Review Applied\, vol.19\, 064035 (2023). \nAbstract \nWe 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.
URL:https://www.ibs.re.kr/bimag/event/simulating-the-spread-of-infection-in-networks-with-quantum-computers-shingo-gibo/
LOCATION:B232 Seminar Room\, IBS\, 55 Expo-ro Yuseong-gu\, Daejeon\, Daejeon\, 34126\, Korea\, Republic of
CATEGORIES:Journal Club
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
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