Hsin-Yuan Huang

Hsin-Yuan Huang (Robert) is a theoretical physicist and quantum computing researcher. He is the CTO of Oratomic and is on leave from a faculty position as Assistant Professor of Theoretical Physics at Caltech. He previously was a Staff/Senior Research Scientist at Google Quantum AI and held visiting positions at Stanford, MIT CTP, and the Simons Institute. He earned his PhD under John Preskill and Thomas Vidick; his dissertation 'Learning in the Quantum Universe' won Caltech's Milton and Francis Clauser Doctoral Prize. He is known for classical shadow tomography, provably efficient ML for quantum many-body problems, and quantum advantages in learning. As a high school student he represented Taiwan at IOI 2013, winning a bronze medal.

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• Now CTO of Oratomic, a Pasadena neutral-atom quantum computing startup that raised a $300M Series A (reported July 2026) to build fault-tolerant quantum computers with ~20,000 qubits — a move from academic physics into a funded deep-tech operator role.Jul 2026
• Assistant Professor of Theoretical Physics at Caltech, currently on leave to run Oratomic; previously Staff/Senior Research Scientist at Google Quantum AI.2026
• PhD dissertation 'Learning in the Quantum Universe' won Caltech's Milton and Francis Clauser Doctoral Prize, awarded to a single dissertation across all disciplines annually.2023
• Co-authored the foundational classical shadow tomography paper (Nature Physics 2020) with Richard Kueng and John Preskill, which became his most-cited contribution.Jun 22, 2020
• Won a bronze medal representing Taiwan at IOI 2013 (rank 127, score 262/600), competing under the Codeforces handle 'Robert' — the same handle he uses today, linking his high-school olympiad identity to his current research profile.Jul 13, 2013
• Oratomic team reads as a neutral-atom elite ensemble (Bluvstein, Cain, Endres, Covey, Levine, Faraon, Preskill-adjacent), suggesting Huang's CTO role sits atop a Harvard/Caltech neutral-atom cluster.2026
• Featured in mainstream science press (Quanta Magazine, New Scientist, IEEE Spectrum, Phys.org) for quantum-advantage-in-learning results, giving him a public-facing science profile beyond academia.Mar 12, 2024
• Wrote 'FusionNet: Fusing via Fully-aware Attention with Application to Machine Comprehension' (ICLR 2018) — evidence of an ML/NLP research phase before pivoting fully into quantum information.Feb 5, 2018
• Regular keynote/seminar presence across institutions (NTU, USC, EPFL, UW, PIRSA), indicating he is a sought-after speaker on quantum advantage in learning.Jul 22, 2024
• Maintains an active X account (@RobertHuangHY) used to thread new papers; several threads (e.g. 2024-07 and 2023-10) announce arXiv results directly.2024
• Built BioBio, an open-source biomedical NLP tool built on SpaCy (2018) — a side project showing an applied-ML builder streak outside pure theory.Sep 1, 2018