News
Texas Quantum Institute Secures NSF NRT Award: Q‑CAT for Future Innovators
Texas Quantum Institute (TQI) is thrilled to announce that we have secured a National Science Foundation Research Traineeship (NRT) award for a new graduate training initiative titled Quantum Cross‑platform Advanced Training (Q‑CAT) for Future Innovators. For detailed information, please click here.
Faculty members at TQI are actively building new metrology facilities using the Texas Semiconductor Innovation Fund (TSIF) grant of $4.8 million for the creation of QLab. More information to come! Stay Tuned!
Speaker at TQI Seminar Discussed the Intersection of Quantum and AI
Dr. Bei Zeng recently gave a TQI Seminar talk on “AI for Quantum Error-Correction Design,” showing how AI can be used not only for prediction and data analysis, but also for scientific discovery and design.
Focusing on quantum error correction, she discussed how AI-assisted search, optimization, and verification can help researchers discover new quantum codes and study transversal logical gates important for fault-tolerant quantum computing. The talk also placed these developments in a broader context by connecting the history of game AI with emerging multi-agent tools for scientific research. View more photos and details from her talk here.
Dr. Zhou gave an almost fault-tolerant talk on How Transversal Architectures Help Reduce Errors as Part of the Distinguished Seminar Series Here at TQI!
Dr. Zhou’s talk about how to scale up quantum computers and detect/fix errors with quantum error correction provided a better understanding of more efficient quantum error correction methods.
Through novel transversal architectures, the cost of error correction can be significantly reduced, with recent experimental and theoretical work highlighting this as a promising avenue. View more details from his talk here.
Speaker at TQI Seminar Introduced a Random-Wave Perspective on Quantum Transport in Complex Media
Dr. Cheng Guo recently gave a TQI Seminar talk that characterizes quantum transport in complex media through the lens of random waves, closely aligning with modern wavefront-shaping capabilities.
Complementing conventional random-matrix approaches that statistically describe transport properties across ensembles of random media, he introduced a random-wave perspective that instead examines transport in a fixed medium under varying inputs. The talk focused on three key areas: the probability distribution for the coherent transport of random waves, joint control of multiple observables via wavefront shaping, and coherence lattice theory that bounds transport phenomena. View more details from his talk here.
