Embedding Learning in Hybrid Quantum-Classical Neural Networks. - Minzhao Liu; Junyu Liu; Rui Liu; Henry Makhanov; Danylo Lykov; Anuj Apte; Yuri Alexeev (QCE, 2022)

A Quadratic Speedup in the Optimization of Noisy Quantum Optical Circuits. - Robbe De Prins; Yuan Yao; Anuj Apte; Filippo M. Miatto (Quantum, 2023)

Deep learning lattice gauge theories. - Anuj Apte; Anthony Ashmore; Clay Cordova; Tzu-Chen Huang (CoRR, 2024)

Iterative Interpolation Schedules for Quantum Approximate Optimization Algorithm. - Anuj Apte; Shree Hari Sureshbabu; Ruslan Shaydulin; Sami Boulebnane; Zichang He; Dylan Herman; James Sud; Marco Pistoia (CoRR, 2025)

Conjectured Bounds for 2-Local Hamiltonians via Token Graphs. - Anuj Apte; Ojas Parekh; James Sud (CoRR, 2025)