Conference Information

QSW 2026: IEEE International Conference on Quantum Software

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Submission Date:
2026-03-08
Notification Date:
2026-05-10
Conference Date:
2026-07-13
Location:
Sydney, Australia
Years:
5
Viewed: 13207   Tracked: 1   Attend: 0

Conference Partner Index (CP-I)

44.1 / 100
Ranked #3,084 of 5,650 conferences · Top 55%

#175 of 245 in Software Engineering

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
48
Community attention (10%)
17
Public record completeness (15%)
35

Inputs used: Editions on record: 5 · Researchers following it here: 1 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-06

Call For Papers

QSW 2026 (IEEE International Conference on Quantum Software) is an academic conference held in Sydney, Australia on 2026-07-13. The paper submission deadline is 2026-03-08. Acceptance notifications are sent on 2026-05-10.

The IEEE International Conference on Quantum Software (IEEE QSW 2026) is the premier venue dedicated to establishing quantum software as a rigorous engineering and scientific discipline. QSW focuses on the methods, abstractions, languages, tools, systems, and theories required to design, build, analyze, deploy, and evolve quantum and hybrid quantum-classical software systems. Unlike physics- or hardware-centric venues, QSW emphasizes software-level contributions: programming models, languages, compilers, runtimes, validation & verification techniques, system architectures, lifecycle methodologies, and reproducible software artifacts. The conference explicitly targets the gap between quantum algorithms and operational quantum systems. QSW welcomes contributions from academia and industry that demonstrate technical depth, explicit assumptions, and clear software relevance. The conference solicits high-quality submissions in the following areas, including but not limited to: Foundations of Quantum Software ● Formal semantics of quantum and hybrid quantum-classical programs ● Type systems and correctness-by-construction approaches ● Resource-aware programming models (qubits, depth, noise, communication) ● Software-level cost models beyond gate counts ● Program equivalence, refinement, and transformation ● Abstractions for NISQ and post-NISQ software systems Quantum Software Development and Toolchains ● Quantum programming languages and intermediate representations ● Compilers, transpilers, simulators, optimizers, and code generators ● Circuit synthesis and decomposition techniques with software guarantees ● Simulation and emulation frameworks ● Design patterns and best practices for quantum software ● Data preparation and classical-quantum interfacing ● Development process and lifecycle models for quantum software Verification, Validation, and Quality Assurance ● Testing methodologies for quantum and hybrid applications ● Statistical verification with confidence guarantees ● Fault models at different software abstraction levels ● Specification languages for quantum behavior ● Regression testing and evolution of quantum software ● Software metrics, KPIs, and performance models Hybrid Quantum-Classical Systems and Infrastructure Software ● Architectures for hybrid quantum-classical applications ● Orchestration, scheduling, and resource management ● Runtime systems for heterogeneous platforms ● Cross-stack optimization (application-compiler-runtime-execution) ● Deployment, monitoring, and lifecycle management Quantum Software in the Cloud and at Scale ● Quantum Computing as a Service (QCaaS) software architectures ● Interoperability and portability across platforms and vendors ● Cloud-native quantum development environments ● Automation of deployment and execution pipelines ● Cost-aware execution and optimization strategies High-Performance Computing and Quantum Integration ● Integration of quantum accelerators into HPC workflows ● System software for quantum-enhanced HPC ● Performance modeling of quantum-classical workflows ● Co-design of HPC and quantum software stacks AI-Assisted Quantum Software Engineering ● AI-based circuit optimization and synthesis ● AI-assisted error mitigation and noise adaptation ● Data efficiency, generalization, and limits of ML-based approaches ● Comparisons against analytical and compiler-based baselines ● Formal guarantees or failure analyses of AI-assisted techniques Quantum Internet and Distributed Quantum Software ● Programming models for distributed quantum systems ● Network-aware compilation and execution ● Entanglement management and abstraction layers ● Simulation and emulation of quantum networks ● End-to-end quantum internet applications from a software perspective Quantum Software Applications and Experience Reports ● Transition from prototypes to production-grade quantum software ● Scalability analyses with realistic constraints ● Migration across quantum technologies and platforms ● Reproducible experience reports with generalizable insights ● Negative results, failure analyses, and lessons learned
Last updated by Dou Sun on

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