The Quantum Entropy Cone of Hypergraphs. - Ning Bao; Newton Cheng; Sergio Hernández-Cuenca; Vincent Paul Su (CoRR, 2020)

Variational Preparation of the Sachdev-Ye-Kitaev Thermofield Double. - Vincent Paul Su (CoRR, 2020)

Topological Link Models of Multipartite Entanglement. - Ning Bao; Newton Cheng; Sergio Hernández-Cuenca; Vincent Paul Su (Quantum, 2022)

Discovery of Optimal Quantum Error Correcting Codes via Reinforcement Learning. - Vincent Paul Su; ChunJun Cao; Hong-Ye Hu; Yariv Yanay; Charles Tahan; Brian Swingle (CoRR, 2023)

Hierarchical Learning for Quantum ML: Novel Training Technique for Large-Scale Variational Quantum Circuits. - Hrant Gharibyan; Vincent Paul Su; Hayk Tepanyan (CoRR, 2023)

Towards Quantum Gravity in the Lab on Quantum Processors. - Illya Shapoval; Vincent Paul Su; Wibe de Jong; Miro Urbánek; Brian Swingle (Quantum, 2023)

Hierarchical Learning for Training Large-Scale Variational Quantum Circuits. - Hrant Gharibyan; Vincent Paul Su; Hayk Tepanyan (ICMLA, 2024)