The Distinguished Lecture on “Towards Scalable Quantum Information Processing with Superconducting Qubits: From Architecture to Algorithm Compilation” will take place as follows:
Date: 26 July 2024 (Friday)
Time: 10:30 a.m. – 11:30 a.m.
Venue: Research Building N21, G/F, Room G013
The speaker is:
Prof. YAN Fei, Beijing Academy of Quantum Information Sciences (BAQIS), China
The Lecture is:
Towards Scalable Quantum Information Processing with Superconducting Qubits: From Architecture to Algorithm Compilation
Abstract:
Quantum computing holds the promise of revolutionizing various fields by solving complex problems that are currently intractable for classical computers. Multiple approaches are being explored to realize quantum computers, including superconducting qubits, trapped ions, and topological qubits. Among them, superconducting qubits hold great promise for realizing large-scale quantum computing applications. In this talk, we present advancements in several aspects of superconducting quantum processors, including architectural design, control techniques, and algorithm compilation methods, which all contribute to the improvement of their scalability. These developments highlight the potential for scalable and widely applicable approaches in quantum information processing, which help bring meaningful quantum applications on noisy devices closer to realization.
Biography:
Dr. YAN Fei received his Bachelor’s degree in Physics from Nanjing University in 2008 and his Ph.D. in Nuclear Science and Engineering from the Massachusetts Institute of Technology (MIT)
in 2013. From 2013 to 2018, he was a postdoctoral researcher at the MIT, Research Laboratory of Electronics. Dr. YAN Fei is currently a researcher with the superconducting quantum computing
team at the Beijing Academy of Quantum Information Sciences. He is a recipient of the National Excellent Young Scientists Fund. Dr. YAN Fei has long been dedicated to the research of superconducting quantum computing, focusing on the development of scalable technologies. His main research interests include quantum control, noise and decoherence, scalable architecture design, and algorithm compilation. He proposed a scalable tunable coupling architecture and a high-fidelity two-qubit gate control scheme, which contributed to Google’s quantum supremacy experiment. This scheme has now become one of the mainstream approaches in the field. He has published over 30 papers in high-impact journals such as Science, Nature Physics, Nature Communications, and Physical Review Letters. His work has been cited over 5,000 times on Google Scholar, and he has an H-index of 23.
For more details, kindly find the event poster, abstract and bio.
