710 citations · 3k across the 66 of their papers we have counts for
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Demonstration of machine-learning-enhanced Bayesian quantum state estimation
Sanjaya Lohani, Joseph M. Lukens, Atiyya A. Davis +6
Machine learning (ML) has found broad applicability in quantum information science in topics as diverse as experimental design, state classification, and even studies on quantum fo…
Time-resolved Hanbury Brown-Twiss interferometry of on-chip biphoton frequency combs using Vernier phase modulation
Karthik V. Myilswamy, Suparna Seshadri, Hsuan-Hao Lu +5
Biphoton frequency combs (BFCs) are promising quantum sources for large-scale and high-dimensional quantum information and networking systems. In this context, the spectral purity…
Coexistent quantum channel characterization using spectrally resolved Bayesian quantum process tomography
Joseph C. Chapman, Joseph M. Lukens, Muneer Alshowkan +3
The coexistence of quantum and classical signals over the same optical fiber with minimal degradation of the transmitted quantum information is critical for operating large-scale q…
Broadband polarization-entangled source for C+L-band flex-grid quantum networks
Muneer Alshowkan, Joseph M. Lukens, Hsuan-Hao Lu +4
The rising demand for transmission capacity in optical networks has motivated steady interest in expansion beyond the standard C-band (1530-1565 nm) into the adjacent L-band (1565-…
Complete frequency-bin Bell basis synthesizer
Suparna Seshadri, Hsuan-Hao Lu, Daniel E. Leaird +2
We report the experimental generation of all four frequency-bin Bell states in a single versatile setup via successive pumping of spontaneous parametric downconversion with single…
Dimension-adaptive machine-learning-based quantum state reconstruction
Sanjaya Lohani, Sangita Regmi, Joseph M. Lukens +3
We introduce an approach for performing quantum state reconstruction on systems of qubits using a machine-learning-based reconstruction system trained exclusively on qubits…