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Computer Science

D-Index
53
Citations
9208
World Ranking
4901
National Ranking
2275

Research.com Recognitions

  • 2013 - ACM Distinguished Member

Overview

Frederic T. Chong is affiliated with the University of Chicago in the United States and specializes in the field of Computer Science. Their work includes significant contributions to subfields such as Artificial Intelligence, Atomic and Molecular Physics and Optics, Electrical and Electronic Engineering, Hardware and Architecture, and Computational Theory and Mathematics.

Their primary research topics focus on Quantum Computing Algorithms and Architecture, Quantum Information and Cryptography, Quantum and electron transport phenomena, Advancements in Semiconductor Devices and Circuit Design, Parallel Computing and Optimization Techniques, Neural Networks and Reservoir Computing, and Cloud Computing and Resource Management.

Recent papers authored by Frederic T. Chong include the following:

  • O(N³) Measurement Cost for Variational Quantum Eigensolver on Molecular Hamiltonians, 2020, published in DOAJ (DOAJ: Directory of Open Access Journals)
  • Quantum-centric supercomputing for materials science: A perspective on challenges and future directions, 2024, published in Future Generation Computer Systems
  • QuantumNAT, 2022, published in Proceedings of the 59th ACM/IEEE Design Automation Conference
  • Optimized SWAP networks with equivalent circuit averaging for QAOA, 2022, published in Physical Review Research
  • Quantum Computing for Enhancing Grid Security, 2020, published in IEEE Transactions on Power Systems

Frederic T. Chong has frequently collaborated with researchers such as Pranav Gokhale, Jonathan M. Baker, Yongshan Ding, Kaitlin N. Smith, and Gokul Subramanian Ravi.

Their work has been published extensively in venues including arXiv (Cornell University), IEEE Micro, npj Quantum Information, the 2022 IEEE International Conference on Quantum Computing and Engineering (QCE), and Quantum.

In addition to journal and conference publications, Frederic T. Chong has contributed to book literature, with a publication titled Quantum Computer Systems released by Morgan & Claypool Publishers in 2020.

Among the recognitions received in their career is the ACM Distinguished Member award granted in 2013.

Best Publications

  • Minos: Control Data Attack Prevention Orthogonal to Memory Model

    Jedidiah R. Crandall;Frederic T. Chong

  • Quantum Computer Systems for Scientific Discovery

    Yuri Alexeev;Dave Bacon;Kenneth R. Brown;Robert Calderbank

  • Active pages: a computation model for intelligent memory

    Mark Oskin;Frederic T. Chong;Timothy Sherwood

  • Noise-Adaptive Compiler Mappings for Noisy Intermediate-Scale Quantum Computers

    Prakash Murali;Jonathan M. Baker;Ali Javadi-Abhari;Frederic T. Chong

  • Complete information flow tracking from the gates up

    Mohit Tiwari;Hassan M.G. Wassel;Bita Mazloom;Shashidhar Mysore

  • On deriving unknown vulnerabilities from zero-day polymorphic and metamorphic worm exploits

    Jedidiah R. Crandall;Zhendong Su;S. Felix Wu;Frederic T. Chong

  • Programming languages and compiler design for realistic quantum hardware

    Frederic T. Chong;Diana Franklin;Margaret Martonosi

  • HLS: combining statistical and symbolic simulation to guide microprocessor designs

    Mark Oskin;Frederic T. Chong;Matthew Farrens

  • A practical architecture for reliable quantum computers

    M. Oskin;F.T. Chong;I.L. Chuang

  • ScaffCC: a framework for compilation and analysis of quantum computing programs

    Ali JavadiAbhari;Shruti Patil;Daniel Kudrow;Jeff Heckey

  • Construction of hierarchical networks through extension

    Eric A. Brewer;Frederic T. Chong

  • ScaffCC: Scalable compilation and analysis of quantum programs

    Ali Javadiabhari;Shruti Patil;Daniel Kudrow;Jeff Heckey

  • Sapper: a language for hardware-level security policy enforcement

    Xun Li;Vineeth Kashyap;Jason K. Oberg;Mohit Tiwari

  • SurfNoC: a low latency and provably non-interfering approach to secure networks-on-chip

    Hassan M. G. Wassel;Ying Gao;Jason K. Oberg;Ted Huffmire

  • Crafting a usable microkernel, processor, and I/O system with strict and provable information flow security

    Mohit Tiwari;Jason K. Oberg;Xun Li;Jonathan Valamehr

  • Use cases of lossy compression for floating-point data in scientific data sets:

    Franck Cappello;Franck Cappello;Sheng Di;Sihuan Li;Xin Liang

  • Caisson: a hardware description language for secure information flow

    Xun Li;Mohit Tiwari;Jason K. Oberg;Vineeth Kashyap

  • Asymptotic improvements to quantum circuits via qutrits

    Pranav Gokhale;Jonathan M. Baker;Casey Duckering;Natalie C. Brown

  • Minimizing State Preparations in Variational Quantum Eigensolver by Partitioning into Commuting Families

    Pranav Gokhale;Olivia Angiuli;Yongshan Ding;Kaiwen Gui

  • Full-state quantum circuit simulation by using data compression

    Xin-Chuan Wu;Sheng Di;Emma Maitreyee Dasgupta;Franck Cappello

  • Optimized Compilation of Aggregated Instructions for Realistic Quantum Computers

    Yunong Shi;Nelson Leung;Pranav Gokhale;Zane Rossi

  • Noise-Adaptive Compiler Mappings for Noisy Intermediate-Scale Quantum Computers

    Prakash Murali;Jonathan M. Baker;Ali Javadi Abhari;Frederic T. Chong

Frequent Co-Authors

Timothy Sherwood
Timothy Sherwood University of California, Santa Barbara
Margaret Martonosi
Margaret Martonosi Princeton University
John Kubiatowicz
John Kubiatowicz University of California, Berkeley
Franck Cappello
Franck Cappello Argonne National Laboratory
Ricardo Bianchini
Ricardo Bianchini Microsoft (United States)
Ryan Kastner
Ryan Kastner University of California, San Diego
Henry Hoffmann
Henry Hoffmann University of Chicago
Eric Brewer
Eric Brewer University of California, Berkeley

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