QCCC-23: The Second International Workshop on Quantum Classical Cooperative Computing


Held in conjunction with the The 32nd International Symposium on High-Performance Parallel and Distributed Computing (HPDC23’)

Orlando, Florida, United States, June 16 - 23, 2023, part of FCRC 2023


The past five years have seen tremendous development in quantum computing technology, remarked by the demonstration of quantum supremacy. Although many quantum algorithms declare exponential speedups over their classical counterparts, today’s quantum devices in the noisy-intermediate scale quantum (NISQ) era are very susceptible to environmental noise, internal interference, manufacturing imperfection, and technology limitation. Consequently, quantum algorithms that are more robust to noise, or can be effectively decomposed into small pieces for incremental or parallel quantum execution become promising.

The purpose of this workshop is to explore innovative ways of quantum-classical cooperative computing (QCCC) to make quantum computing more effective and scalable in NISQ platforms. The workshop will focus heavily on how classical computing can improve NISQ device execution efficiency, scalability, or compensate for noise impact or technology deficiency, with particular emphasis on demonstrable approaches on existing NISQ platforms, such as IBM-Q, IonQ and Rigetti.

 Download the QCCC-23 CFP

Workshop Program

6/20/2023 02:00 to 02:10 PM ET

Workshop Openning

Bo Fang and Qiang Guan

6/20/2023 02:10 to 03:00 PM ET

Keynote: Reliable Quantum Computing Needs Intelligent Software and Hardware

Prof. Moinuddin K. Qureshi, Georgia Institute of Technology

03:15 to 03:30 PM ET

Talk-1: HQ-Sim: High-performance State Vector Simulation of Quantum Circuits on Heterogeneous HPC Systems

Boyuan Zhang, Indiana University

03:30 to 03:45 PM ET

Talk-2: Efficient QAOA Optimization using Directed Restarts and Graph Lookup

Meng Wang, University of British Columbia and Pacific Northwest National Laboratory

03:45 to 04:00 PM ET

Talk-3: Pulse-Level Variational Quantum Algorithms for Molecular Energy Calculations using Quanlse

Ethan Hansen, Case Western Reserve University

04:00 to 04:15 PM ET

Talk-4: IRobust and Efficient Quantum Communication

Connor Howe, University of Minnesota

04:15 to 04:30 PM ET

Talk-5: Quantum reinforcement learning for quantum architecture search

Samuel Yen-Chi Chen, Wells Fargo

04:30 to 04:45 PM ET

Talk-6: Quantum Noise Mitigation: Introducing the Robust Quantum Circuit Scheduler for Enhanced Fidelity and Throughput

Betis Baheri, Kent State University

04:45 to 05:00 PM ET

Talk-7: Advancing Comprehension of Quantum Application Outputs: A Visualization Technique

Tushar Athawale, Oak Ridge National Laboratory

05:00 PM ETWorkshop Closing Comments



Reliable Quantum Computing Needs Intelligent Software and Hardware



Prof. Moinuddin K. Qureshi, Georgia Institute of Technology


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 dozen 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 (dozens/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.

Speaker Bio

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 and multiple IEEE Top-Picks awards. His papers were also awarded the 2019 NVMW Persistent Impact Prize and 2021 NVMW Persistent Impact Prize, in recognition of “exceptional impact on the fields of study related to non-volatile memories”. Qureshi received an “Outstanding Researcher Award” from Intel and an “Outstanding Technical Achievement” award from IBM. Qureshi got his Ph.D. from the University of Texas at Austin in 2007.


Topics of interest for this workshop include, but not limited to:

Topics that are not relevant include pure quantum or pure classical algorithm/hardware design, benchmarking of quantum algorithm/devices.


This workshop is part of ACM HPDC 2023: The 32nd International Symposium on High-Performance Parallel and Distributed Computing Orlando, Florida, United States, June 16 - 23, 2023 co-located with ACM Federated Computing Research Conference (FCRC).

Important Dates


Authors are invited to submit original 2-page (double-column, up to 4 pages) extended abstracts. The deadline is Friday, April 14, 2023. Accepted papers will be included in the ACM Digital Library as part of the HPDC-23 workshop proceedings.

Accepted papers will be given 15 mins to present in the workshop.

Papers are to be submitted electronically through Easychair at Here.

Workshop Co-Chairs

Program Co-Chairs

Program Committee