Dr. Javier Orduz
I am a computational physicist and researcher working at the intersection of quantum computing, machine learning, and data science. My work develops mathematical and computational methods for hybrid quantum-classical systems, secure AI, and scientific discovery.
Research focus
My research connects physics, mathematics, and computer science across three complementary areas:
- Quantum computing and quantum machine learning: algorithms, variational methods, quantum neural networks, and quantum-classical models.
- Secure and responsible AI: quantum cryptography, adversarial robustness, and machine learning for complex information systems.
- Scientific computing and education: reproducible computational methods, data science, visualization, and training for emerging technologies.
Impact snapshot
| Indicator | Value | Source |
|---|---|---|
| DOI-indexed works | 28 | OpenAlex author profile |
| Cited-by count | 467 | OpenAlex author profile |
| OpenAlex h-index | 9 | OpenAlex author profile |
OpenAlex metrics retrieved 2026-09-18. Citation counts vary by database. See the Google Scholar profile for the broader citation record.
Selected publications
- Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder
- Quantum-Enhanced Representation Learning against DDoS Threats
- Supercomputing leverages quantum machine learning and Grover’s algorithm
- One-loop decays within the two-Higgs-doublet model
Initiatives and collaboration
I build programs that connect research, education, and access to emerging technologies:
- QMexico: quantum science and education in Latin America.
- Qaldas: research, software, consulting, and advanced data analytics.
- Quaker-ECE: interdisciplinary training in quantum computing and emerging technologies.
- LatinX in AI: collaboration for diversity and inclusion in AI research.
Connect
I welcome research collaborations, speaking invitations, educational partnerships, and conversations about quantum technologies and scientific computing.
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