Research Student — Quantum Neural Networks

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Links

Links coming soon

Overview

Conducting research on hybrid classical-quantum architectures at Tec de Monterrey, designing variational quantum circuits integrated with classical embeddings for NLP and computer vision benchmarks. The work involves building reproducible experimentation pipelines and collaborating on a multifactorial protocol evaluating qubit count, encoding strategy, and circuit depth.

Responsibilities

• ✦Designing and implementing a hybrid classical-quantum architecture for a benchmark, integrating classical embeddings with variational quantum layers.
• ✦Building reproducible experimentation pipelines for NLP tasks (IMDB, AG News) and computer vision tasks (MNIST, Fashion-MNIST).
• ✦Automating experiment execution and managing version control for the team's shared repository.
• ✦Collaborating on a multifactorial experimental protocol evaluating qubit count, encoding strategy, and circuit depth.

Technologies & Skills