Quantum Computing & AI

Exploring the intersection of quantum computing and machine learning:

• QuCoWE — Quantum Contrastive Embeddings with Variational Circuits for near-term quantum devices (AAAI 2026). This work introduces a novel approach to learning embeddings using quantum variational circuits, designed to work within the constraints of current NISQ-era hardware.
• Texas Quantum Initiative — Serving on the Scientific Advisory Committee, helping shape the state’s quantum research strategy.

This emerging research direction investigates how quantum advantages can be practically realized for machine learning tasks, even with today’s noisy intermediate-scale quantum devices.