Optimized Entanglement Purification. - Stefan Krastanov; Victor V. Albert; Liang Jiang (Quantum, 2019)

All-Photonic Artificial Neural Network Processor Via Non-linear Optics. - Jasvith Raj Basani; Mikkel Heuck; Dirk R. Englund; Stefan Krastanov (CoRR, 2022)

Single chip photonic deep neural network with accelerated training. - Saumil Bandyopadhyay; Alexander Sludds; Stefan Krastanov; Ryan Hamerly; Nicholas C. Harris; Darius Bunandar; Matthew Streshinsky; Michael Hochberg; Dirk R. Englund (CoRR, 2022)

Faster-than-Clifford Simulations of Entanglement Purification Circuits and Their Full-stack Optimization. - Vaishnavi L. Addala; Shu Ge; Stefan Krastanov (CoRR, 2023)

Near-Term n to k Distillation Protocols Using Graph Codes. - Kenneth Goodenough; Sébastian de Bone; Vaishnavi L. Addala; Stefan Krastanov; Sarah Jansen; Dion Gijswijt; David Elkouss (IEEE J. Sel. Areas Commun., 2024)

WaveguideQED.jl: An Efficient Framework for Simulating Non-Markovian Waveguide Quantum Electrodynamics. - Matias Bundgaard-Nielsen; Dirk R. Englund; Mikkel Heuck; Stefan Krastanov (Quantum, 2025)

Optimizing compilation of error correction codes for 2xN quantum dot arrays and its NP-hardness. - Anthony Micciche; Anasua Chatterjee; Andrew McGregor; Stefan Krastanov (CoRR, 2025)