Quantum computing and networking represent a transformative shift in computational systems, bringing unique challenges for ensuring system dependability. Current Noisy Intermediate-Scale Quantum (NISQ) devices operate with significantly higher error rates than classical computers, requiring new approaches to error management. Beyond hardware concerns, quantum systems face distinct software dependability challenges, including the need for robust algorithms and novel verification methodologies that account for quantum measurement's probabilistic nature.
The integration of quantum devices with traditional infrastructure introduces additional complexity, particularly in coordinating multiple quantum devices across distributed locations. A key challenge is the lack of standardized high-level architectures for these heterogeneous systems incorporating CPUs, GPUs, and QPUs (Quantum Processing Units). Security considerations add another crucial dimension, as quantum systems must be protected against both traditional and quantum-specific vulnerabilities, including side-channel attacks and information leakage during measurement.
While progress has been made in understanding various noise sources, the field lacks comprehensive predictive models for quantum error propagation, especially as systems scale to larger qubit counts. The workshop aims to address these challenges by uniting quantum computing and dependability experts to establish rigorous methodologies for quantum dependability engineering. Key focus areas include developing fault models spanning quantum and classical domains, end-to-end system dependability assessment, and practical fault-tolerance schemes, while working toward new standards appropriate for quantum systems.
Accepted papers will be included in the supplement to the DSN Proceedings (DSN-W volume) and made available on IEEE Xplore.
The workshop welcomes submissions addressing dependability aspects of quantum systems, including but not limited to:
Dependable system architectures and interfaces for fault-tolerant hybrid quantum-classical HPC computing
Characterization and modeling of quantum noise sources and decoherence effects and techniques to counteract these to increase the dependability of the system
Reliability assessment of quantum control systems and interfaces
Integration of hardware topology, error and noise models with compilation and transpilation frameworks
Novel techniques for quantum error detection, correction, mitigation, and suppression and their implementation challenges
Testing methodologies for quantum circuits and algorithms
Benchmarking methods for quantum system reliability
Validation of hybrid quantum-classical systems
Dependable integration approaches of quantum devices with classical infrastructures and related implementation challenges
Side-channel attacks and countermeasures in quantum systems
Privacy-preserving quantum computation
Trust and certification of quantum devices
Software tools for quantum reliability assessment
Programming models for dependable quantum-classical HPC applications
Quantum systems benchmarking methodologies and standardization of quantum reliability metrics
Experiences from quantum-classical HPC deployments addressing dependability issues
All accepted papers will be included in the DSN-W supplement to the DSN Proceedings and made available on IEEE Xplore.
Submission Deadline: March 31th April 7th, 2025 (AoE)
Notification of Acceptance: April 30th, 2025 (AoE)
Camera Ready Submission: May 10th, 2025 (AoE)
Submissions must follow the IEEE Computer Society camera-ready format (8.5″x11″, two-column layout, 10-point font, 12-point single-spaced leading). Templates are available on the IEEE conference template page.
Short Papers (up to 4 pages, including references)
Regular Papers (up to 8 pages, including references)
Submission link: https://easychair.org/my/conference?conf=dsnw2025
When clicking on "make a new submission" you will be redirected to a page where you can select our "Foundations Of Reliable Classical-quantum Engineering" workshop.
Each accepted paper must have 1 distinct workshop or full conference registration to be included in the proceedings.
The author registration deadline is May 10th 2025.
Registration details can be found here: https://dsn2025.github.io/registration.html
Remote presentation could be an option, depending on conditions.
Keynote: Quantum computing and applications at DOE’s SQMS Quantum Research Center by Silvia Zorzetti (SQMS - Fermilab)
Paper presentations:
Assessing the Elephant in the Room in Scheduling for Current Hybrid HPC-QC Clusters by Paolo Viviani (LINKS Foundation), Roberto Rocco (E4 Computer Engineering), Matteo Barbieri (E4 Computer Engineering), Gabriella Bettonte (E4 Computer Engineering), Elisabetta Boella (E4 Computer Engineering), Marco Cipollini (Politecnico di Torino), Jonathan Frassineti (CINECA), Fulvio Ganz (E4 Computer Engineering), Sara Marzella (CINECA), Daniele Ottaviani (CINECA), Simone Rizzo (E4 Computer Engineering), Alberto Scionti (LINKS Foundation), Chiara Vercellino (LINKS Foundation - Politecnico di Torino), Giacomo Vitali (LINKS Foundation - Politecnico di Torino), Olivier Terzo (LINKS Foundation), Bartolomeo Montrucchio (Politecnico di Torino), Daniele Gregori (E4 Computer Engineering)
A Typology of Quantum-Classical Faults by Edoardo Giusto (University of Naples, Federico II), Santiago Núñez-Corrales (UIUC), Alessandro Cilardo (University of Naples Federico II), Nicola Mazzocca (University of Naples Federico II), Travis Humble (Oak Ridge National Laboratory)
Near-term Application Engineering Challenges in Emerging Superconducting Qudit Processors by Davide Venturelli (SQMS, NASA QuAIL & USRA), Erik Gustafson (SQMS, NASA QuAIL & USRA), Doga Kurkcuoglu (SQMS, Fermilab), Silvia Zorzetti (SQMS, Fermilab)
Paper presentations:
ATTAQ: Adversarial Robustness of Quantum Machine Learning by Francesco Marchiori, Mauro Conti (University of Padova)
Supply Chain Malware Detection via Classical and Quantum Kernel Methods in Embedded Systems by Sthefanie Passo, Vishal Kothavade, Jeff Prevost (The University of Texas at San Antonio)
AI-augmented QAOA by Jai Nana, Xinpeng Li, Ning Xie, Shusen Pu, Yifan Yu, Qiang Guan, Xiaotian Han, Shuai Xu, Vipin Chaudhary (Case Western Reserve University, Florida International University, University of West Florida, University of Washington, Kent State University)
Ansatz Optimization for Protein Structure Prediction via Non-Separate Circuit Cutting and State-Dependent Optimization by Xinpeng Li, Vinooth Rao Kulkarni, Jai Nana, Shusen Pu, Ning Xie, Qiang Guan, Ruihao Li, Shulei Zhang, Shuai Xu, Daniel Blankenberg, Vipin Chaudhary (Case Western Reserve University, University of West Florida, Florida International University, Kent State University, Cleveland Clinic)
Edoardo Giusto, University of Naples Federico II, egiusto@ieee.org - General Chair
Qiang Guan, Kent State University, qguan@kent.edu - General Co-Chair
Bo Fang, Pacific Northwest National Laboratory, bo.fang@pnnl.gov - General Co-Chair
Phuong Cao, UIUC
Avimita Chatterjee, Penn State
Alessandro Cilardo, University of Naples Federico II
Olivia Di Matteo, University of British Columbia
Weiwen Jiang, George Mason University
Zhiding Liang, Rensselaer Polytechnic Institute
Nicola Mazzocca, University of Naples Federico II
Bartolomeo Montrucchio, Politecnico di Torino
Prashant Nair, University of British Columbia
Santiago Núñez-Corrales, NCSA/UIUC
Simone Perriello, Politecnico di Milano
Stefano Quer, Politecnico di Torino
Paolo Rech, University of Trento
Sam Stein, Pacific Northwest National Laboratory
Flavio Vella, University of Trento
Marco Venere, Politecnico di Milano
Chuanqi Xu, Yale