Allen School Ph.D. student Er-Cheng Tang earns Machtey Award for Best Student Paper at FOCS 2025 for obfuscating quantum programs
By
Kristine White
3mo agoen
Source
news.cs.washington.eduAllen School Ph.D. student Er-Cheng Tang earns Machtey Award for Best Student Paper at FOCS 2025 for obfuscating quantum programswashington.eduProgram obfuscation, which aims to obscure the inner workings of a computer program while maintaining its functionality, is a central goal in cryptography and software protection. Allen School Ph.D. student Er-Cheng Tang and collaborator Mi-Ying (Miryam) Huang , a Ph.D. student at the University of Southern California recently developed the first quantum state obfuscation scheme for unitary quantum programs, which are the backbone of quantum computing, in the classical oracle model. Tang and Huang presented their research at the 66th IEEE Symposium on Foundations of Computer Science (FOCS 2025) last December where they received the Machtey Award for Best Student Paper . Read more →
You might also wanna read

Verification of Quantum Computations: Hardware-Efficient Security Proofs
New Quantum Oblivious Transfer Protocol Achieves Simulation Security with One-Way Functions
This paper presents a new simulation-secure quantum oblivious transfer (QOT) protocol built on one-way functions in the plain model. The pro
quantum-journal.org·1mo agoCharles H. Bennett and Gilles Brassard Win 2025 ACM Turing Award for Quantum Information Science Foundations
Charles H. Bennett and Gilles Brassard have been awarded the 2025 ACM A.M. Turing Award for their foundational work in establishing quantum
Singaporean brothers use unsolvable Diophantine equations to build quantum-resistant encryption
Singaporean brothers Lim Meng Liang and Lim Meng Huai are using unsolvable Diophantine equations to develop next-generation, quantum-resista
Stanford researchers develop room-temperature quantum device using twisted light
Stanford University researchers have developed a nanoscale optical device that operates at room temperature using twisted light to entangle
sciencedaily.com·1mo ago
Quantum machine learning models show accuracy advantages in differentially private training
This research paper investigates privacy-preserving training in hybrid variational quantum machine learning (QML) models using differential

Comments
Sign in to join the conversation.
No comments yet. Be the first.