Jul 25

Quantum Computing at the Noise Resilient Scale

12:00 PM to 1:00 PM

CSB 453

Yongshan Ding, Yale University

Tremendous algorithmic and experimental progress has been made towards realizing the potential of quantum computing. On the one hand, quantum algorithms and their circuit implementations are being developed and tested on the current generation of noisy hardware. On the other hand, hardware devices continue to expand in scale and are increasingly capable of suppressing, detecting, and correcting errors. The next challenge is to develop the crucial systems architecture to perform various computational tasks on emerging hardware more robustly and efficiently.

My talk will start with a brief overview of quantum computer systems research and then delve into a few recent results from our group at Yale about tailoring quantum error correction or detection for a range of critical applications, spanning state preparation, expectation value estimation, quantum random access memory (QRAM), and more. I will discuss the several conceptual design stages that underpin the customized error correction schemes, including logical qubit encoding, logical gate synthesis, qubit placement, and routing. More broadly, I will highlight the intricate but rewarding process of designing quantum algorithms, software, and architecture in tandem.

Yongshan Ding is an Assistant Professor of Computer Science at Yale University, with a secondary appointment in Applied Physics. He is a faculty member of the Yale Quantum Institute (YQI) and is affiliated with the Computer Systems Lab (CSL). He is a recipient of the NSF CAREER award and the Siebel Scholarship. Ding completed his Ph.D. from the University of Chicago, receiving the William Rainey Harper Dissertation Fellowship, one of UChicago's highest honors. Prior to that, he received his B.Sc. degrees in Computer Science and Physics from Carnegie Mellon University. Ding is also the lead author of a textbook, Quantum Computer Systems, in Springer Nature's Synthesis Lectures in Computer Architecture.

Sep 02

Labor Day - University Holiday

9:00 AM to 5:00 PM

Sep 03

First Day of Classes

9:00 AM to 9:00 PM

Sep 05

Fall 2024 Research Fair

12:00 PM to 2:00 PM

Sep 06

Fall 2024 Research Fair

12:00 PM to 2:00 PM

CS Lounge

Oct 15

Prospective Bridge Student Information Session

2:00 PM to 3:00 PM


The CSMS Bridge Program is designed for people who are interested in acquiring new knowledge and skills to build futures in technology. We are exploring new interdisciplinary frontiers in a world where computer science is increasingly critical to fields such as medicine, business, journalism, social science, and the humanities. Please join us for our upcoming information session to help you decide if Bridge is the right fit for you.

Register for the Prospective Bridge Student Info Session (2025 Cohort) here: