Quantum computing algorithms and applications inspired by control theory

Seth Lloyd

Jerzy Tchórzewski, Dariusz Ruciński, Przemysław Domański

The paper proposes a new method of quantum computing using control and systems theory as well as matrix-quantum computing. The algorithm developed on the basis of the PR-02 robot’s arm’s movement was implemented in using the Neural Network Toolbox. The application of the neural model instead of the analytic model allowed for obtaining the improvement of the trajectory of the PR-02 robot’s arm movement, while the application of the quantum artificial neural network for the assumed number of quasi-parallel computations equal 1000 did not result in the improvement of the model.

Jie Qian, Zheng Jian-guo, Zhang Chaoqun +2 more

By introducing basic theory of quantum-inspired evolutionary algorithm(QEA), this paper makes a summary on the research of QEA with performance and mechanism, the population improvement, representation extension, operator innovation, integration with other algorithms and its application. Hence several contents of further study of QEA in the aspects of application, algorithm studying, multi-objective evolutionary, and pattern theory, are proposed.

Li Huang

Alexandre Choquette, Agustín Di Paolo, Panagiotis Kl. Barkoutsos +3 more

The authors propose a quantum circuit, inspired by the theory of quantum optimal control, to prepare the ground state of the few-body Hubbard model and the water molecule with high-fidelity in a quantum computer.

Tzyh‐Jong Tarn