Quantum Machine Learning· 2026
Variational Quantum Classifiers (QML)
PennyLanePyTorchQiskitQuantum Computing
Overview & Objective
Research and engineering of hybrid quantum-classical neural networks (Variational Quantum Classifiers / VQC). Integrated parameterized quantum circuits (PQC) using PennyLane and Qiskit coupled with PyTorch classical optimizers, benchmarked barren plateaus, and evaluated noise robustness on complex multidimensional data under noisy simulation backends.
Key Engineering Highlights
Hybrid Quantum-Classical Architecture
Engineered hybrid quantum-classical networks (VQC) bridging parameterized quantum circuits with classical PyTorch backpropagation.
Noise Robustness & Barren Plateaus
Benchmarked circuit trainability and noise resilience on complex data using PennyLane and Qiskit noisy simulation backends.