Project 2: Schrödinger-Heisenberg Quantum Variational Algorithm

This research project is funded by Huawei and Institute of Software, Chinese Academy of Sciences (ISCAS). The main objective is to use MindSpore-Quantum framework to reproduce the results from the Schrödinger-Heisenberg Variational Algorithm paper, and to extend the SH-VQA algorithm.

Research Objectives

1. Design the Clifford Circuit (Heisenberg part) and try to figure out a standard way to construct the XXZ model
2. Build the Schrödinger part using MindSpore-Quantum’s VQA simulator to run shallow quantum circuits
3. Compare and optimize results using the Heisenberg part

Project Details

• Research Project: Funded by Huawei and Institute of Software, Chinese Academy of Sciences (ISCAS)
• Research Focus: Reproducing results from the Schrödinger-Heisenberg Variational Algorithm paper and extending the SH-VQA algorithm
• Methods: Implementation using MindSpore-Quantum 0.10 framework with quantum computing techniques

Key Outcomes

• Reproduction of SH-VQA algorithm results using MindSpore-Quantum
• Extension and improvement of the original algorithm
• Implementation of quantum variational algorithms
• Research collaboration with industry and academic institutions

Project Implementation

• Framework: MindSpore-Quantum 0.10
• Algorithm: Schrödinger-Heisenberg Quantum Variational Algorithm (SH-VQA)
• Goal: Algorithm extension and optimization

Related Resources

• Original Paper: Schrödinger-Heisenberg Variational Algorithm
• Framework: MindSpore-Quantum
• Institution: Institute of Software, Chinese Academy of Sciences

The project demonstrates advanced quantum computing techniques and algorithm development in the field of quantum variational algorithms.