alex

Quantum Machine Learning Explorer & Software Developer 🚀 I am actively transitioning into the intersection of Quantum Computing and Artificial Intelligence. Currently mastering quantum SDKs (Qiskit, Cirq, PennyLane) and exploring neural-network quantum states (NetKet/Carleo frameworks). My goal is to bridge the gap between classical ML workflows and quantum processors by building resilient hybrid architectures. Interests / Tags for Hugging Face: Quantum Machine Learning (QML), Hybrid Classical-Quantum AI, Quantum Software Architecture, Quantum Error Mitigation (QEM), Physics-Informed Neural Networks (PINNs), Variational Quantum Algorithms (VQA). What I do & Where I am heading: • Hybrid Systems & Quantum AI: Designing and optimizing workflows that leverage AI to solve complex quantum tasks and vice versa. • Quantum Architecture & Constraints: Modeling physical problems into Hamiltonians, matrices, and cost functions, framing task limitations as a guiding canvas. • Quantum Prompt Engineering & Code Gen: Structuring high-level instructions (prompts) for LLM-driven quantum code generation and circuit synthesis. • Noise & Error Handling: Deep-diving into Quantum Error Correction (QEC) and mitigation strategies (inspired by Google's predictive tools) to extract signal from hardware noise