24 citations · 24 across the 4 of their papers we have counts for
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cs.NE2026
Evolving Hybrid Quantum-Classical Architectures for Image Classification
Devroop Kar, Daniel Krutz, Travis Desell
Hybrid quantum classical neural networks integrate parameterized quantum circuits (PQCs) with established deep learning architectures, but their performance depends strongly on the…
cs.LG2026
Beyond the Class Subspace: Teacher-Guided Training for Reliable Out-of-Distribution Detection in Single-Domain Models
Hong Yang, Devroop Kar, Qi Yu +2
Out-of-distribution (OOD) detection methods perform well on multi-domain benchmarks, yet many practical systems are trained on single-domain data. We show that this regime induces…
cs.NE2026
Investigating Quantum Circuit Designs Using Neuro-Evolution
Devroop Kar, Daniel Krutz, Travis Desell
Designing effective quantum circuits remains a central challenge in quantum computing, as circuit structure strongly influences expressivity, trainability, and hardware feasibility…