James Ang

12 papers A* 3Misc 2Journal 5Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
ARQUIN: Architectures for Multinode Superconducting Quantum Computers.
ACM Trans. Quantum Comput.
James Ang, Gabriella Carini, Yanzhu Chen, Isaac L. Chuang, Michael DeMarco, Sophia E. Economou, Alec Eickbusch, Andrei Faraon, Kai-Mei Fu, Steven M. Girvin, Michael Hatridge, Andrew A. Houck, Paul Hilaire, Kevin Krsulich, Ang Li, Chenxu Liu, Yuan Liu, Margaret Martonosi, David C. McKay, Jim Misewich, Mark B. Ritter, Robert J. Schoelkopf, Samuel A. Stein, Sara Sussman, Hong Tang, Wei Tang, Teague Tomesh, Norm M. Tubman, Chen Wang, Nathan Wiebe, Yongxin Yao, Dillon Yost, Yiyu Zhou
2023 A* conf
HetArch: Heterogeneous Microarchitectures for Superconducting Quantum Systems.
MICRO
Samuel A. Stein, Sara Sussman, Teague Tomesh, Charles Guinn, Esin Tureci, Sophia Fuhui Lin, Wei Tang, James Ang, Srivatsan Chakram, Ang Li, Margaret Martonosi, Fred Chong, Andrew A. Houck, Isaac L. Chuang, Michael Austin DeMarco
2023 J jnl
Microarchitectures for Heterogeneous Superconducting Quantum Computers.
CoRR
Samuel A. Stein, Sara Sussman, Teague Tomesh, Charles Guinn, Esin Tureci, Sophia Fuhui Lin, Wei Tang, James Ang, Srivatsan Chakram, Ang Li, Margaret Martonosi, Frederic T. Chong, Andrew A. Houck, Isaac L. Chuang, Michael Austin DeMarco
2023 A* conf
Q-BEEP: Quantum Bayesian Error Mitigation Employing Poisson Modeling over the Hamming Spectrum.
ISCA
Samuel A. Stein, Nathan Wiebe, Yufei Ding, James Ang, Ang Li
2023 J jnl
QASMBench: A Low-Level Quantum Benchmark Suite for NISQ Evaluation and Simulation.
ACM Trans. Quantum Comput.
Ang Li, Samuel A. Stein, Sriram Krishnamoorthy, James Ang
2022 — conf
Benchmarking Quantum Processor Performance through Quantum Distance Metrics Over An Algorithm Suite.
IPDPS Workshops
Samuel A. Stein, Nathan Wiebe, James Ang, Ang Li
2022 A* conf
EQC: ensembled quantum computing for variational quantum algorithms.
ISCA
Samuel A. Stein, Nathan Wiebe, Yufei Ding, Bo Peng, Karol Kowalski, Nathan A. Baker, James Ang, Ang Li
2022 — conf
Improving Variational Quantum Algorithms performance through Weighted Quantum Ensembles.
IPDPS Workshops
Samuel Alexander Stein, Nathan Wiebe, James Ang, Ang Li
2022 J jnl
QuCNN : A Quantum Convolutional Neural Network with Entanglement Based Backpropagation.
CoRR
Samuel A. Stein, Ying Mao, James Ang, Ang Li
2022 Misc conf
QuCNN: A Quantum Convolutional Neural Network with Entanglement Based Backpropagation.
SEC
Samuel A. Stein, Ying Mao, James Ang, Ang Li
2021 J jnl
Co-design Center for Exascale Machine Learning Technologies (ExaLearn).
Int. J. High Perform. Comput. Appl.
Francis J. Alexander, James Ang, Jenna A. Bilbrey, Jan Balewski, Tiernan Casey, Ryan Chard, Jong Choi, Sutanay Choudhury, Bert J. Debusschere, Anthony M. DeGennaro, Nikoli Dryden, J. Austin Ellis, Ian T. Foster, Cristina Garcia-Cardona, Sayan Ghosh, Peter Harrington, Yunzhi Huang, Shantenu Jha, Travis Johnston, Ai Kagawa, Ramakrishnan Kannan, Neeraj Kumar, Zhengchun Liu, Naoya Maruyama, Satoshi Matsuoka, Erin McCarthy, Jamaludin Mohd-Yusof, Peter Nugent, Yosuke Oyama, Thomas Proffen, David Pugmire, Sivasankaran Rajamanickam, Vinay Ramakrishnaiah, Malachi Schram, Sudip K. Seal, Ganesh Sivaraman, Christine Sweeney, Li Tan, Rajeev Thakur, Brian Van Essen, Logan T. Ward, Paul M. Welch, Michael Wolf, Sotiris S. Xantheas, Kevin G. Yager, Shinjae Yoo, Byung-Jun Yoon
2010 Misc conf
Exascale Computing and the Role of Co-Design.
High Performance Computing Workshop
James Ang, Ron Brightwell, David Donofrio, Sudip S. Dosanjh, K. Scott Hemmert, Arun Rodrigues, John Shalf, Kyle B. Wheeler