QuantumBoostNet: Hybrid Classical-Quantum Cardiac View Identification
Accurate identification of the correct view or angle in cardiac ultrasound (echocardiogram) is critical for cardiologic imaging, precise anatomical interpretation, and reducing clinical errors. Most state-of-the-art classical models perform well on standard benchmarks but give suboptimal results in specialized medical imaging due to high noise levels. To address these challenges, this work proposes the hybrid classical-quantum architecture QuantumBoostNet, which combines a classical backbone with two heads: one classical and one quantum, a parametrized 10-qubit quantum circuit. The main contribution of this work is training in two stages, with an adaptive transition between heads controll...
| Authors | Mihai Udrescu-Milosav, Stefan-Alexandru Jura, Mihai Udrescu et al. |
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| Primary category | cs.LG |
| Published | 27 August 2026 |
| Last updated at source | 29 August 2026 |
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