About me

My name is Iria (pronouced: eye-RHEE-ah), and I am a 3rd year physics Ph.D. candidate at Harvard University conducting research in Quantum Information Theory. Broadly speaking, I am fascinated by the elegance of mathematical models used to capture real-world phenomena, and how these models are leveraged towards developing innovative yet practical technologies and numerical methods. Currently, my research focuses on quantum algorithms for classical optimization problems and secure cloud quantum computing strategies.

Previously, I studied physics, computer science, and mathematics at Brandeis University. I conducted research in high-energy particle physics at the ATLAS experiment in CERN.

In my free time, I enjoy skiing and staying active at the gym. I also explore Chinese and Korean makeup techniques as a creative hobby.

Academic Research & Publications

Blind (Secure) Quantum Computation

• Designing Fault-Tolerant Blind Quantum Computation (arXiv, 2025)
  Authors: Gefen Baranes*, Iria W. Wang*, Francisco Machado*, Aziza Suleymanzade, Pieter-Jan Stas, Yan-Cheng Wei, Susanne F. Yelin, Johannes Borregaard, Mikhail D. Lukin
  * These authors contributed equally
• Universal Distributed Blind Quantum Computing with Solid-State Qubits (Science, 2025)
  Authors: Yan-Cheng Wei, Pieter-Jan Stas, Aziza Suleymanzade, Gefen Baranes, Francisco Machado, Yan Qi Huan, Can M. Knaut, Weiyi Sophie Ding, Moritz Merz, Erik N Knall, Umut Yazlar, Maxim Sirotin, Iria W. Wang, Bart Machielse, Susanne F. Yelin, Johannes Borregaard, Hongkun Park, Marko Loncar, Mikhail D. Lukin

Quantum Optimization

• Sum-of-Squares inspired Quantum Metaheuristic for Polynomial Optimization with the Hadamard Test and Approximate Amplitude Constraints (arXiv, 2024)
  Authors: Iria W. Wang, Robin Brown, Taylor L. Patti, Anima Anandkumar, Marco Pavone, Susanne F. Yelin

High-Energy Experimental Physics

• Understanding Backgrounds: Suppression of Non-Prompt Leptons for the ATLAS Detector at the Large Hadron Collider (Undergraduate Senior Thesis, 2022)
  Author: Iria W. Wang; Advisor: Gabriella Sciolla