βMin-Hsiu Hsieh
Software with Enhanced Capability
Quantum computation research focuses on several foundational areas essential for advancing the field. Quantum algorithms are a central topic, where researchers develop algorithms that can leverage quantum mechanics to outperform classical approaches in specific tasks. Additionally, quantum complexity theory investigates the boundaries between quantum and classical computational resources, aiming to classify problems based on their solvability by quantum systems. This research helps determine which problems are best suited for quantum computing.
01 Quantum Algorithms with Provable Advantage
1. Distribution Testing Algorithm
2. Graph Testing Algorithm
β3. Topological Data Algorithm

02. Quantum Machine Learning
1. Expressivity
2. Trainability
3. Generalization
β4. Others

03 Quantum Complexity Theory
1. Quantum Circuit Complexity
β2. NISQ Complexity Class
