Leveraging Quantum Computing for the Ising Model to Simulate Two Real Systems: Magnetic Materials and Biological Neural Networks (BNNs)
Leveraging Quantum Computing for the Ising Model to Simulate Two Real Systems: Magnetic Materials and Biological Neural Networks (BNNs)作者机构：Thomas Jefferson High School for Science and Technology Alexandria VA USA
出 版 物：《Journal of Quantum Information Science》 (量子信息科学期刊（英文）)
年 卷 期：2023年第13卷第3期
页 面：138-155页
学科分类：07[理学] 070201[理学-理论物理] 0702[理学-物理学]
主 题：Ising Model Magnetic Material Biological Neural Network Quantum Computting International Business Machines (IBM)
摘 要：Quantum computing is a field with increasing relevance as quantum hardware improves and more applications of quantum computing are discovered. In this paper, we demonstrate the feasibility of modeling Ising Model Hamiltonians on the IBM quantum computer. We developed quantum circuits to simulate these systems more efficiently for both closed and open boundary Ising models, with and without perturbations. We tested these various geometries of systems in both 1-D and 2-D space to mimic two real systems: magnetic materials and biological neural networks (BNNs). Our quantum model is more efficient than classical computers, which can struggle to simulate large, complex systems of particles.
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