[Published online Journal of Computer Chemistry, Japan Vol.21, 39-42, by J-STAGE]
<Title:> 量子コンピュータを利用したタンパク質の畳み込みモデル
<Author(s):> 齊藤 瑠偉, 奥脇 弘次, 望月 祐志, 永井 隆太郎, 加藤 拓己, 杉﨑 研司, 湊 雄一郎
<Corresponding author E-Mill:> fullmoon(at)rikkyo.ac.jp
<Abstract:> We have performed a series of quantum computations for folding of the PSVKMA peptide by using the blueqat AutoQML simulator by which a given problem can be converted from QUBO (quadratic unconstrained binary optimization) of quantum annealing to QAOA (quantum approximate optimization algorithm) of VQE (variational quantum eigensolver). The IonQ quantum system of ion-trap type was utilized as well. A three qubit problem was successful by both. However, the situation became difficult for a five qubit case, especially for the IonQ having vulnerability to noises.
<Keywords:> Quantum computation, Protein folding, Lattice model, QUBO, QAOA
<URL:> https://www.jstage.jst.go.jp/article/jccj/21/2/21_2022-0022/_article/-char/ja/
<Title:> 量子コンピュータを利用したタンパク質の畳み込みモデル
<Author(s):> 齊藤 瑠偉, 奥脇 弘次, 望月 祐志, 永井 隆太郎, 加藤 拓己, 杉﨑 研司, 湊 雄一郎
<Corresponding author E-Mill:> fullmoon(at)rikkyo.ac.jp
<Abstract:> We have performed a series of quantum computations for folding of the PSVKMA peptide by using the blueqat AutoQML simulator by which a given problem can be converted from QUBO (quadratic unconstrained binary optimization) of quantum annealing to QAOA (quantum approximate optimization algorithm) of VQE (variational quantum eigensolver). The IonQ quantum system of ion-trap type was utilized as well. A three qubit problem was successful by both. However, the situation became difficult for a five qubit case, especially for the IonQ having vulnerability to noises.
<Keywords:> Quantum computation, Protein folding, Lattice model, QUBO, QAOA
<URL:> https://www.jstage.jst.go.jp/article/jccj/21/2/21_2022-0022/_article/-char/ja/
