QCCC-25: The Fourth International Workshop on Quantum Classical Cooperative Computing

QCCC-25: The Fourth International Workshop on Quantum Classical Cooperative Computing

Tokyo

QCCC-25 will be co-located with ISCA 2025 in Tokyo, Japan,
on Saturday, June 21, 2025 (half-day).

Overview

Over the past few years, quantum computing has experienced remarkable growth—from early demonstrations of quantum supremacy to breakthroughs in error suppression using advanced error correction techniques. While last year’s workshop focused on how classical computing can bolster NISQ-era quantum devices to overcome environmental noise and technological limitations, the landscape is rapidly evolving. Today’s research is shifting toward fault-tolerant quantum computing (FTQC) systems capable of reliable, large-scale computation.

QCCC-25 aims to push these boundaries further by exploring innovative designs for quantum-classical cooperative computing (QCCC) systems that span both the NISQ and FTQC eras. The workshop will emphasize architectural and system-level approaches where classical computing not only enhances performance and scalability but also mitigates challenges such as qubit decoherence, constrained interconnectivity, and the overhead of robust error correction. Additionally, demonstrable approaches on current quantum platforms (e.g., IBMQ, IonQ, Quantinuum, QuEra, etc.) will be welcomed.

By bridging past insights with new technological directions, QCCC-25 seeks to bring together researchers from academia, industry, and national laboratories to advance the next generation of hybrid quantum-classical computing systems.

Call for Papers

The call for papers can be downloaded here in pdf format.

Venue

QCCC-25 will be co-located with ISCA 2025 in Tokyo, Japan, on Saturday, June 21, 2025 (half-day).

Topics

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

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

Important Dates

All deadlines are Anywhere on Earth (AoE).

Submissions

We invite 2–4 page extended abstracts (excluding references). Submissions should adhere to standard IEEE or ISCA workshop formatting guidelines.

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

Papers are to be submitted electronically through Easychair at Here.

At least one author of each accepted submission must register for the workshop and present the work.

Workshop Program


Prof. Frederic T. Chong
Seymour Goodman Professor
Dept. of Computer Science
The University of Chicago
Chief Scientist for Quantum Software
Infleqtion

Talk Title

Hybrid Approaches to Quantum Applications and Compilation

Talk Abstract

Practical quantum computation will require a hybrid approach that will require substantial classical computation at all levels of the software stack. In fact, I would argue that even exponential amounts of classical computation should be invested as long as the quantum advantage is larger and the latency is tolerable.

I will highlight several key ongoing approaches which leverage high-performance classical computation. Physics-aware, cross-layer optimizations will continue to yield important efficiencies to allow applications to make the most of quantum resources. Software-directed noise-aware optimization and error correction, in particular, will be key to increasing gate depths and maintaining acceptable output fidelity. Pulse-level optimizations and specialized native gates will also be key enablers. Additionally, algorithms will need to be co-designed using hybrid strategies involving high-performance classical resources as well as quantum hardware serving as special-purpose accelerators. Together, these approaches will leverage recent progress in quantum hardware and accelerate our path to useful quantum applications.

Talk Speaker Bio

Fred Chong is the Seymour Goodman Professor in the Department of Computer Science at the University of Chicago and the Chief Scientist for Quantum Software at Infleqtion. He was also Lead Principal Investigator for the EPiQC Project (Enabling Practical-scale Quantum Computing), an NSF Expedition in Computing, from 2018-2024. Chong is a member of the National Quantum Advisory Committee (NQIAC) which provides advice to the President on the National Quantum Initiative Program. In 2020, he co-founded Super.tech, a quantum software company, which was acquired by Infleqtion (formerly ColdQuanta) in 2022. 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 fellow of the ACM and the IEEE, a recipient of the NSF CAREER award, the Intel Outstanding Researcher Award, and 15 best paper awards. He is also a recipient of the Quantrell Award, the oldest undergraduate teaching award in the United States, as well as the University of Chicago’s Graduate Teaching and Mentoring Award. His research interests include emerging technologies for computing, quantum computing, multicore and embedded architectures, computer security, and sustainable computing.

Invited Talk


Prof. Gokul S. Ravi
Assistant Professor
Computer Science and Engineering
University of Michigan

Title

Migrating NISQ algorithms and techniques to early FTQC

Abstract

This talk will explore ideas aimed at bridging the gap between today’s Noisy Intermediate-Scale Quantum (NISQ) era and the long-term goal of fully fault-tolerant quantum computing (FTQC). I will begin by introducing EFT-VQA (ISCA 2025), which proposes strategies for transitioning variational quantum algorithms (VQAs) into the early fault-tolerant (EFT) regime by leveraging partial error correction. Next, I will present DS-ZNE (QCE 2023), which extends the widely used NISQ-era error mitigation technique of zero-noise extrapolation (ZNE) into the fault-tolerant setting. Finally, I will highlight how additional techniques developed for NISQ VQAs may continue to play a role in the EFT regime.

Speaker Bio

Prof. Ravi is an Assistant Professor in the Computer Science and Engineering (CSE) Division of the EECS Department, at the University of Michigan. His research primarily focuses on quantum computing, and he leads the Computer Architecture For Quantum Advantage (CAFQA) Lab. Additionally, Prof. Ravi is a Fellow of the UM Quantum Research Institute (QRI) and affiliated with the Michigan Institute for Computational Discovery and Engineering (MICDE).

Invited Talk


Prof. Zheng E. Zhang
Professor
Department of Computer Science
Rutgers University

Title

Navigating Circuit Compilation Problems for Practical Quantum Computing: Key Challenges and Optimization Opportunities

Abstract

As quantum computing advances, the need for efficient compilation strategies becomes increasingly critical. Quantum compilation bridges the gap between theoretical quantum concepts and practical quantum advantage. On one hand, quantum compilation makes the logical circuits hardware-compliant; On the other hand, it significantly boosts the performance, resource usage, and fidelity of large-scale quantum circuits beyond what manual tuning and optimization can achieve. In this talk, I will present three projects, as three examples to highlight key challenges and optimization opportunities for practical circuit compilation: quantum Fourier transformation (QFT), variational quantum eigensolver (VQE), and Fermion-Boson mixture simulation. Compilation of these three examples cover three fundamental abstraction layers: hardware mapping, circuit synthesis, and Hamiltonian decomposition. They also cover exciting, intriguing, and intellectually challenging problems in quantum compilation today. Our experiments demonstrate a significant improvement in circuit performance and fidelity achieved through carefully designed compiler strategies. Our findings also illuminate how compilation techniques at lower abstraction levels of the quantum software stack can inform and influence design choices at higher levels, including algorithm design and even quantum theory itself. This demonstrates the critical role of effective compilation in realizing the full potential of quantum computing systems.

Speaker Bio

Prof. Zhang is a Professor at the Department of Computer Science at Rutgers University. Before joining Rutgers in 2012, Prof. Zhang got her Ph.D. in computer science, her M.S. in computational operations research from the College of William & Mary, and her B.S. degree in Electronic Engineering from Shanghai Jiaotong University. Prof. Zhang develops compilation and programming techniques for emerging architectures. She has worked on enhancing program performance and reliability for different types of architectures, including multi-core shared memory processors, GPUs, and quantum computers. My current research interest is on how to enhance the programmability of quantum computing systems.

Invited Talk


Prof. Prashant Nair
Assistant Professor
Department of Electrical and Computer Engineering
University of British Columbia

Title

Breaking Through Hybrid Quantum Algorithm Execution Barriers

Abstract

From the NISQ era to early fault-tolerant quantum computing (FTQC), hybrid quantum algorithms, particularly variational quantum algorithms (VQAs), remain a promising approach for achieving quantum speedup in critical domains, including combinatorial optimization and quantum chemistry. However, the effective and efficient execution of these algorithms presents significant barriers that must be overcome to realize their potential.

Here we discuss two approaches to break through these execution barriers. First, RED-QAOA focuses on effective execution by reducing both quantum circuit depth and qubit requirements, making VQAs more resilient to noise in current quantum devices. Second, Qoncord addresses efficient distributed execution by optimizing VQA workloads across multiple quantum devices. Together, these contributions advance the practical implementation of hybrid quantum algorithms, bringing us closer to demonstrable quantum advantage in near-term applications.

Speaker Bio

Prashant Nair is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of British Columbia. He received his Ph.D. and M.Sc. in Electrical and Computer Engineering from the Georgia Institute of Technology and his B.Eng degree in Electronics Engineering from the University of Mumbai. Prashant was a Postdoctoral Researcher (Research Scientist) at IBM Thomas J. Watson Research Center in New York.

Prashant’s interests are in the areas of reliability, security, and performance-power efficient memory systems. He is also interested in system-level and architecture-level optimization to enable efficient and practical quantum computers. He frequently publishes in several top-tier conferences like ISCA, MICRO, HPCA, and ASPLOS. Prashant has served as a primary reviewer for several major conferences in computer architecture, including ISCA, ASPLOS-2016, IEEE CAL, ACM-TACO, ACM-TC, and SBAC-PAD.

Invited Talk


Dr. Evan McKinney
Postdoctoral Researcher
Department of Computer Science
Yale University

Title

Two-Qubit Gates as an Architecture and Compiler Optimization Problem

Abstract

Many challenges in quantum hardware and compilation can be reframed as tractable classical optimization problems. This talk explores how tools such as linear programming, graph coloring, and numerical solvers can be applied to design-time trade-offs in quantum systems. We first introduce a frequency allocation framework for tunable-coupler superconducting architectures. By modeling both coherent spectator errors and incoherent decoherence penalties, we define a classical cost function that captures the fidelity landscape of multi-qubit modules. The resulting optimizer assigns qubit and coupler frequencies to maximize gate fidelity under tight spectral constraints. We then present a synthesis method for arbitrary two-qubit unitaries, formulated as a linear program over canonical gate invariants and followed by lightweight numerical optimization. This hybrid LP-numerical approach enables efficient decomposition across heterogeneous instruction sets and supports ISA-aware compilation. Together, these methods demonstrate how classical optimization can unify quantum architecture and compiler design into a hardware-aware co-design workflow.

Speaker Bio

Evan McKinney is a postdoctoral researcher in Computer Science at Yale University, supervised by Yongshan Ding and Rob Schoelkopf. He earned his PhD in Computer Engineering from the University of Pittsburgh and holds a BS in Computer Engineering and Physics from lowa State University. His research focuses on superconducting quantum architecture design, heterogeneous instruction set compilation, and quantum error correction.

Workshop Schedule

9:00 – 9:05 am JST

Workshop Opening

Meng Wang

9:05 – 10:05 am

Featured Invited Talk: Hybrid Approaches to Quantum Applications and Compilation

Prof. Frederic T. Chong

10:05 – 10:20 am

Break

10:20 – 10:55 am

Invited Talk: Migrating NISQ Algorithms and Techniques to Early FTQC

Prof. Gokul S. Ravi

10:55 – 11:10 am

Contributed Talk: SMILES-Inspired Transfer Learning for Quantum Operators in Generative Quantum Eigensolver

Zhi Yin

11:10 – 11:45 am

Invited Talk: Navigating Circuit Compilation Problems for Practical Quantum Computing: Key Challenges and Optimization Opportunities

Prof. Zheng E. Zhang

11:45 am – 12:00 pm

Break

12:00 – 12:25 pm

Invited Talk: Two-Qubit Gates as an Architecture and Compiler Optimization Problem

Dr. Evan McKinney

12:25 – 1:00 pm

Invited Talk: Breaking Through Hybrid Quantum Algorithm Execution Barriers

Prof. Prashant Nair

Workshop Co-Chairs

Program Co-Chairs

Steering Committee

Contact

For more information or any questions, please contact the organizing committee:

We look forward to seeing you at QCCC-25 in Tokyo!

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