Software and Architectures for Large-Scale Quantum Computing
Event details
Date | 28.06.2016 |
Hour | 14:00 › 15:15 |
Location | |
Category | Conferences - Seminars |
By : Fred Chong
Seymour Goodman Professor of Computer Architecture
Department of Computer Science
University of Chicago
Abstract :
Recent announcements by IBM, Google, and Dwave reflect a growing interest in quantum computation. More than ever, computer scientists have the opportunity to help accelerate the evolution of quantum technologies towards practical, large-scale systems. The key is to formulate the challenges that allows us to draw on decades of experience designing classical computer systems and software.
In this talk, I will present some lessons learned and future research directions in the design of architectures and software for scalable quantum computation. First, I will discuss early work specializing architectures for application parallelism, reliability, and speed requirements. Second, I will present a dynamic code generation approach for arbitrary quantum rotations. Third, I will discuss scalability challenges in the Scaffold infrastructure for compiling quantum programs. Finally, I will outline future work in program verification, certified compilation, and error correction with surface codes.
Bio :
Fred Chong is the Seymour Goodman Professor of Computer Architecture in the Department of Computer Science at the University of Chicago. Chong received his Ph.D. from MIT in 1996 and was a faculty member and Chancellor's fellow at UC Davis from 1997-2005. He was also a Professor of Computer Science, Director of Computer Engineering, and Director of the Greenscale Center for Energy-Efficient Computing at UCSB from 2005-2015. He is a recipient of the NSF CAREER award, the DARPATech Most Significant Technical Achievement Award, and 5 best paper awards. His research interests include emerging technologies for
computing, multicore and embedded architectures, computer security, and sustainable computing. Prof. Chong has been funded by NSF, Google, LANL, AFOSR, IARPA, DARPA, Mitsubishi, Altera and Xilinx. He has led or co-led over $20M in awarded research, and been co-PI on an additional $10M.
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Seymour Goodman Professor of Computer Architecture
Department of Computer Science
University of Chicago
Abstract :
Recent announcements by IBM, Google, and Dwave reflect a growing interest in quantum computation. More than ever, computer scientists have the opportunity to help accelerate the evolution of quantum technologies towards practical, large-scale systems. The key is to formulate the challenges that allows us to draw on decades of experience designing classical computer systems and software.
In this talk, I will present some lessons learned and future research directions in the design of architectures and software for scalable quantum computation. First, I will discuss early work specializing architectures for application parallelism, reliability, and speed requirements. Second, I will present a dynamic code generation approach for arbitrary quantum rotations. Third, I will discuss scalability challenges in the Scaffold infrastructure for compiling quantum programs. Finally, I will outline future work in program verification, certified compilation, and error correction with surface codes.
Bio :
Fred Chong is the Seymour Goodman Professor of Computer Architecture in the Department of Computer Science at the University of Chicago. Chong received his Ph.D. from MIT in 1996 and was a faculty member and Chancellor's fellow at UC Davis from 1997-2005. He was also a Professor of Computer Science, Director of Computer Engineering, and Director of the Greenscale Center for Energy-Efficient Computing at UCSB from 2005-2015. He is a recipient of the NSF CAREER award, the DARPATech Most Significant Technical Achievement Award, and 5 best paper awards. His research interests include emerging technologies for
computing, multicore and embedded architectures, computer security, and sustainable computing. Prof. Chong has been funded by NSF, Google, LANL, AFOSR, IARPA, DARPA, Mitsubishi, Altera and Xilinx. He has led or co-led over $20M in awarded research, and been co-PI on an additional $10M.
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Practical information
- General public
- Free
- This event is internal
Contact
- Host : Jim Larus