Quantum computing for structural materials
Recently, Ising machines including quantum annealing machines, attract overwhelming attention as a technology that opens up future possibilities. On the other hand, the phase-field model has demonstrated its high performance in material development, though it takes a long time to achieve equilibrium. We proposed a new model which brings remarkable acceleration in obtaining the phase-separation structure. The significant acceleration of the phase-field simulation by the quantum technique pushes the material development to the next stage.
References
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Endo, K., Matsuda, Y., Tanaka, S., Muramatsu, M., ” A phase-field model by an Ising machine and its application to the phase-separation structure of a diblock polymer”, Scientific Reports, Vol. 12, pp. 10794, 1-9, (2022).
Interview
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Honda, R., Endo, K., Kaji, T., Suzuki, Y., Matsuda, Y., Tanaka, S., Muramatsu, M., “Development of optimization method for truss structure by quantum annealing”, Scientific Reports, Vol. 14, No. 13872, pp. 1-13, (2024).
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Aoki, S., Endo, K., Matsuda, Y., Seki, Y., Tanaka, S., Muramatsu, M., “Formulation of correction term in QUBO form for phase-field model”, International Journal for Numerical Methods in Engineering, Vol. 126, e70019, pp. 1-13, (2025).
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Suzuki, Y., Aoki, S., Key, F., Endo, K., Matsuda, Y., Tanaka, S., Behr, M., Muramatsu, M., “An Ising Machine Formulation for Design Updates in Topology Optimization of Flow Channels”, Engineering with Computers, Vol. 42, 15, (2026).
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Endo, K., Matsuda, Y., Tanaka, S., Muramatsu, M., “Novel real number representations in Ising machines and performance evaluation: Combinatorial random number sum and constant division”, PLOS ONE, Vol. 19, No. 6, pp. 1-19, (2024).
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Sasaki, S., Endo, K. and Muramatsu, M., “Hamiltonian simulation for nonlinear partial differential equation by Schrödingerization”, Scientific Reports, Vol. 16, 11743, (2026).