Quantum Control and Quantum Computing
Abstract
The goal of this project of Quantum control and quantum computing is to develop theoretical descriptions for various important issues and challenges in quantum control, quantum information processing, quantum machine learning, quantum chemistry, and quantum optimization from which design proposals for novel applications will follow, accompanied by fundamental insights into quantum nanoscience. The specific research topics and results obtained in the period of 2021/09-2023/03 described in this report can be categorized into three parts: (A) Quantum Computation for Quantum Chemistry: (1) Qubit-efficient encoding scheme for quantum simulations of electronic structure, (2)Accurate and efficient quantum computations of molecular properties, (B) Quantum Machine Learning: (1) Quantum reinforcement learning with a hybrid tensor network-variational quantum circuit (TN-VQC) architecture, (2) Single-qubit quantum agent and output reuse for quantum deep reinforcement learning, and (C) Quantum Optimization and Ising Model Problems: (1) HybridGate-Based and Annealing Quantum Computing for Large-Size Ising Problems. Keywords: Quantum Computing, Quantum Computational Chemistry, Quantum Machine Learning, Quantum Optimization, Variational Quantum Circuit, Variational Quantum Eigensolver, Ising Model Problems.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 18, 2023
- Accession Number
- AD1227022
Entities
People
- Hsi-Sheng Goan
Organizations
- National Taiwan University