Review of Ansatz Designing Techniques for Variational Quantum Algorithms
This is an incremental review paper summarizing existing techniques for optimizing VQAs to address noise and qubit limitations in quantum computing.
The paper reviews and classifies various ansatz improvement methods for Variational Quantum Algorithms at gate and pulse levels to enhance accuracy and efficiency in the NISQ era.
For a large number of tasks, quantum computing demonstrates the potential for exponential acceleration over classical computing. In the NISQ era, variable-component subcircuits enable applications of quantum computing. To reduce the inherent noise and qubit size limitations of quantum computers, existing research has improved the accuracy and efficiency of Variational Quantum Algorithm (VQA). In this paper, we explore the various ansatz improvement methods for VQAs at the gate level and pulse level, and classify, evaluate and summarize them.