[Published online Journal of Computer Chemistry, Japan -International Edition Vol.9, -, by J-STAGE]
<Title:> Lattice Folding Simulation of Peptide by Quantum Computation
<Author(s):> Rui SAITO, Koji OKUWAKI, Yuji MOCHIZUKI, Ryutaro NAGAI, Takumi KATO, Kenji SUGISAKI, Yuichiro MINATO
<Corresponding author E-Mill:> fullmoon(at)rikkyo.ac.jp
<Abstract:> Computational protein folding has attracted considerable interest over the years, including molecular simulations and artificial intelligence assisted methods. On the other hand, research and development of quantum computer hardware and software have been thriving recently. In this paper, we report a case study of peptide (PSVKMA) folding based on a two-dimensional lattice model, by using both the blueqat quantum simulator (called AutoQML) and the IonQ quantum device. As a result, it was found that the actual device was still susceptible to noises.
<Keywords:>
<URL:> https://www.jstage.jst.go.jp/article/jccjie/9/0/9_2022-0036/_html
<Title:> Lattice Folding Simulation of Peptide by Quantum Computation
<Author(s):> Rui SAITO, Koji OKUWAKI, Yuji MOCHIZUKI, Ryutaro NAGAI, Takumi KATO, Kenji SUGISAKI, Yuichiro MINATO
<Corresponding author E-Mill:> fullmoon(at)rikkyo.ac.jp
<Abstract:> Computational protein folding has attracted considerable interest over the years, including molecular simulations and artificial intelligence assisted methods. On the other hand, research and development of quantum computer hardware and software have been thriving recently. In this paper, we report a case study of peptide (PSVKMA) folding based on a two-dimensional lattice model, by using both the blueqat quantum simulator (called AutoQML) and the IonQ quantum device. As a result, it was found that the actual device was still susceptible to noises.
<Keywords:>
<URL:> https://www.jstage.jst.go.jp/article/jccjie/9/0/9_2022-0036/_html
