Skip to content

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

QuantumBoostNet: A Hybrid Classical-Quantum Architecture for Enhanced Accuracy in Cardiac Ultrasound View Identification

Extensive experiments indicate that, despite the limited number of qubits that can be simulated, QuantumBoostNet consistently outperforms state-of-the-art classical and hybrid classical-quantum models in cardiac ultrasound view identification, achieving a relative improvement over the best competitor.

Mihai Udrescu-Milosav, S. Jura, M. Udrescu et al. · 0 citations
#machine learning Preprint Aug 2026

QuantumBoostNet: Hybrid Classical-Quantum Cardiac View Identification

The hybrid classical-quantum architecture QuantumBoostNet is proposed, which combines a classical backbone with two heads: one classical and one quantum, a parametrized 10-qubit quantum circuit, which outperforms the implemented baselines under matched training conditions.

Mihai Udrescu-Milosav, S. Jura, M. Udrescu et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.