Quantum computing is expected to significantly reshape the landscape of secure computing and software and network infrastructures. As quantum technologies continue to evolve, traditional security approaches and software design paradigms face new challenges, requiring the development of quantum-aware architectures and resilient software systems. This workshop aims to explore the intersection of quantum computing with privacy and security. It will provide a forum for researchers and practitioners to discuss how emerging quantum technologies, including quantum algorithms, quantum communication protocols, and quantum machine learning, can influence the design and deployment of software systems. Topics of interest include full and hybrid classical–quantum software architectures, quantum-aware security mechanisms and programming models for quantum-enabled platforms. The workshop will also examine how quantum technologies can be integrated into modern computing environments such as cloud infrastructures, distributed systems, and large-scale networked platforms. By bringing together experts from quantum computing, software engineering, artificial intelligence, data science and cybersecurity, the workshop aims to foster interdisciplinary collaboration and identify emerging research challenges and opportunities for building secure, scalable, and intelligent distributed software architectures in the quantum era. We invite submissions describing original research, position papers, or case studies related to the intersection of quantum computing privacy and security. Topics of interest include (but are not limited to):
- Quantum Machine Learning for security analysis
- Quantum-aware distributed system architectures
- Quantum networking and secure communication protocols
- Full and Hybrid classical–quantum computing infrastructures
- Quantum-secure authentication and access control
- Software engineering practices for quantum-enabled systems
- Quantum-safe cloud and edge computing platforms
- Blockchain in the quantum era
- Post quantum cryptography
- Programming frameworks for quantum-aware distributed applications
Tentative participants may include researchers working on quantum computing, quantum machine learning, quantum networking and distributed software architectures from both academia and industry. Participants presenting accepted papers will be selected through a peer-review process conducted by the workshop program committee.
COMMITTEES
Organizers:
- Fabio Martinelli, ICAR-CNR, Italy
- Francesco Mercaldo, University of Molise, Italy
- Giovanni Ciaramella, IIT-CNR, Italy
Program Committee:
- Daniel Arp, Technische Universität Braunschweig, Germany
- Paul Tavolato, University of Vienna, Austria
- Mark Stamp, San Jose State University, USA
- Sebastian Schrittwieser, University of Vienna, Austria
- Alberto Bartoli, University of Trieste, Italy
- Luca Bortolussi, University of Trieste, Italy and Saarland University, Germany
- Khanh Huu The Dam, Nha Trang University, Vietnam
- Alberto Ferrante, Universita della Svizzera Italiana, Switzerland
- Eric Filiol, ESIEA, France
- Vincenzo Gulisano, Chalmers University of Technology, Sweden
- Martina Lindorfer, University of California, Santa Barbara, United States
- Eric Medvet, University of Trieste, Italy
- Jelena Milosevic, TU Wien, Austria
- Mila Dalla Preda, University of Verona, Italy
- Tayssir Touili, CNRS, France
- Miroslav Velev, Independent Researcher, United States
Authors Submission Guidelines:
Submission Site:
For complete authors guidlines refer to https://idsta-conference.org/2026/authors.php
Publication:
All accepted papers in IDSTA and the workshops colocated with it will be submitted to IEEEXplore for possible publication.
Program
The program will be announced with the IDSTA2026 program at https://idsta-conference.org/2026/program.php
Venue
For venue and accommodation information, please visit https://idsta-conference.org/2026/venue.php
Registration
For registration information, please visit https://idsta-conference.org/2026/registration.php
Camera Ready
For registration information, please visit https://idsta-conference.org/2026/cameraready.php


