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CIS Seminar: “Reliable Quantum Computing Needs Intelligent Software and Hardware”
October 17, 2023 at 3:30 PM - 4:30 PM
Quantum computers can solve important problems that are beyond the capability of conventional computers. Quantum computing is at an inflection point where small systems with a few tens qubits have been demonstrated and the number of qubits is expected to increase to several thousand over the coming years. As qubits are low-energy devices, they are susceptible to high error-rates (in the range of 0.1% to 1% per operation). Unfortunately, quantum error-correction incurs a significant overhead (hundreds of physical qubits per fault-tolerant qubit) and is impractical for near-term machines. Therefore, hardware errors will continue to severely restrict the length of the program that can be reliably executed on a near-term quantum computer. In this talk, I will offer a computer-systems perspective of quantum computers and then share some of our recent work that improves the reliability of near-term quantum computers with intelligent software techniques. I will also discuss the hardware support necessary to enable large- scale quantum computers.
Moinuddin Qureshi
Professor of Computer Science at the Georgia Institute of Technology
Moinuddin Qureshi is a Professor of Computer Science at the Georgia Institute of Technology. His research interests include computer architecture, hardware security, and quantum computing. Qureshi received the 2022 ACM SIGARCH Maurice Wilkes Award for contributions to high- performance memory systems and was recently inducted as an ACM Fellow and IEEE Fellow. He is a member of Hall-of-Fame of the trifecta of architecture conferences: ISCA, MICRO, and HPCA. His research has been recognized with multiple best-paper awards, multiple IEEE Top-Picks awards, and multiple NVMW Persistent Impact Prize in recognition of “exceptional impact on the fields of study related to non-volatile memories”. Three of his papers were recently included in the 25 years retrospective published at ISCA-50. Qureshi got his Ph.D. from UT Austin in 2007.