Dynamical Behavior of Two Interacting Double Quantum Dots in 2D Materials for Feasibility of Controlled-NOT Operation
1
Issued Date
2022-10-01
Resource Type
eISSN
20794991
Scopus ID
2-s2.0-85140931035
Journal Title
Nanomaterials
Volume
12
Issue
20
Rights Holder(s)
SCOPUS
Bibliographic Citation
Nanomaterials Vol.12 No.20 (2022)
Suggested Citation
Kesorn A., Hunkao R., Tivakornsasithorn K., Sinsarp A., Sukkabot W., Suwanna S. Dynamical Behavior of Two Interacting Double Quantum Dots in 2D Materials for Feasibility of Controlled-NOT Operation. Nanomaterials Vol.12 No.20 (2022). doi:10.3390/nano12203599 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/84047
Title
Dynamical Behavior of Two Interacting Double Quantum Dots in 2D Materials for Feasibility of Controlled-NOT Operation
Author's Affiliation
Other Contributor(s)
Abstract
Two interacting double quantum dots (DQDs) can be suitable candidates for operation in the applications of quantum information processing and computation. In this work, DQDs are modeled by the heterostructure of two-dimensional (2D) MoS2 having 1T-phase embedded in 2H-phase with the aim to investigate the feasibility of controlled-NOT (CNOT) gate operation with the Coulomb interaction. The Hamiltonian of the system is constructed by two models, namely the 2D electronic potential model and the (Formula presented.) matrix model whose matrix elements are computed from the approximated two-level systems interaction. The dynamics of states are carried out by the Crank–Nicolson method in the potential model and by the fourth order Runge–Kutta method in the matrix model. Model parameters are analyzed to optimize the CNOT operation feasibility and fidelity, and investigate the behaviors of DQDs in different regimes. Results from both models are in excellent agreement, indicating that the constructed matrix model can be used to simulate dynamical behaviors of two interacting DQDs with lower computational resources. For CNOT operation, the two DQD systems with the Coulomb interaction are feasible, though optimization of engineering parameters is needed to achieve optimal fidelity.