Quantum Techniques in Machine Learning

Details for Daniel K. Park

Affiliation: Yonsei Univ.

Author in the following contributions

• Improving Generalization and Trainability of Quantum Eigensolvers via Graph Neural Encoding
• Pauli Noise Annealing for Escaping Optimization Stagnation in Variational Quantum Eigensolvers
• Generative Quantum Data Embeddings for Supervised Learning