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๐ Our paper has been accepted at the 19th IEEE International Conference on Software Testing, Verification and Validation (ICST 2026).
๐ย ๐๐ฐ๐ธ๐ข๐ณ๐ฅ ๐๐ช๐ท๐ฆ ๐๐ฐ๐ช๐ด๐ฆ ๐๐ช๐ฏ๐จ๐ฆ๐ณ๐ฑ๐ณ๐ช๐ฏ๐ต๐ช๐ฏ๐จ ๐ง๐ฐ๐ณ ๐๐ช๐ด๐ค๐ณ๐ฆ๐ฑ๐ข๐ฏ๐ค๐บ ๐๐ฏ๐ข๐ญ๐บ๐ด๐ช๐ด ๐ช๐ฏ ๐๐ถ๐ข๐ฏ๐ต๐ถ๐ฎ ๐๐ฐ๐ง๐ต๐ธ๐ข๐ณ๐ฆ ๐๐ฏ๐จ๐ช๐ฏ๐ฆ๐ฆ๐ณ๐ช๐ฏ๐จ ๐ย https://lnkd.in/ehw2Mskw
Noise remains a fundamental obstacle to reliable quantum software โ yet current models are often static, coarse, and misaligned with real system behaviour.
In this work, we introduceย ๐๐๐๐ ๐๐๐๐๐ ๐๐๐๐๐๐๐๐๐๐๐๐๐๐, a lightweight and empirical approach to characterising noisy quantum systems.
Our key idea: โ leverageย ๐๐๐๐๐๐๐๐๐ ๐๐๐๐ ๐๐ ๐๐๐๐๐๐๐๐๐๐ย to build compact, updatable fingerprints of noise โ enableย efficient comparison of quantum states and platformsย (e.g., Qiskit vs Cirq) โ support practical workflows forย ๐๐๐๐๐๐๐, ๐ ๐๐๐๐๐๐๐๐, and ๐๐๐๐๐-๐๐๐๐๐๐๐๐ ๐๐๐๐๐ ๐๐๐๐๐
We implement this vision inย SIMSHADOW, showing that fingerprints: โข capture structured, interpretable noise patterns โข reveal systematic cross-platform discrepancies โข correlate with observable divergences in program outputs
More broadly, this work bridgesย ๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐ย andย ๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐, moving toward more reliable and portable quantum software systems.Faculty of Natural, Mathematical & Engineering SciencesCongratulations Elena, Karine, Sophie, Mohammad!Congratulations, Avner! I hope to see you in Daejeon! ๐ To view or add a comment, sign in Our latest paper was accepted for ICST short papers, vision and emerging result track! ๐ฅณ
The preprint is already available online, check it out! ๐
โTowards Live Noise Fingerprinting for Discrepancy Analysis in Quantum Software Engineeringโ
PhD Candidate | Hybrid QuantumโClassical Architectures | Quantum Software Testability | Kingโs College London
๐ Our paper has been accepted at the 19th IEEE International Conference on Software Testing, Verification and Validation (ICST 2026).
๐ย ๐๐ฐ๐ธ๐ข๐ณ๐ฅ ๐๐ช๐ท๐ฆ ๐๐ฐ๐ช๐ด๐ฆ ๐๐ช๐ฏ๐จ๐ฆ๐ณ๐ฑ๐ณ๐ช๐ฏ๐ต๐ช๐ฏ๐จ ๐ง๐ฐ๐ณ ๐๐ช๐ด๐ค๐ณ๐ฆ๐ฑ๐ข๐ฏ๐ค๐บ ๐๐ฏ๐ข๐ญ๐บ๐ด๐ช๐ด ๐ช๐ฏ ๐๐ถ๐ข๐ฏ๐ต๐ถ๐ฎ ๐๐ฐ๐ง๐ต๐ธ๐ข๐ณ๐ฆ ๐๐ฏ๐จ๐ช๐ฏ๐ฆ๐ฆ๐ณ๐ช๐ฏ๐จ ๐ย https://lnkd.in/ehw2Mskw
Noise remains a fundamental obstacle to reliable quantum software โ yet current models are often static, coarse, and misaligned with real system behaviour.
In this work, we introduceย ๐๐๐๐ ๐๐๐๐๐ ๐๐๐๐๐๐๐๐๐๐๐๐๐๐, a lightweight and empirical approach to characterising noisy quantum systems.
Our key idea: โ leverageย ๐๐๐๐๐๐๐๐๐ ๐๐๐๐ ๐๐ ๐๐๐๐๐๐๐๐๐๐ย to build compact, updatable fingerprints of noise โ enableย efficient comparison of quantum states and platformsย (e.g., Qiskit vs Cirq) โ support practical workflows forย ๐๐๐๐๐๐๐, ๐ ๐๐๐๐๐๐๐๐, and ๐๐๐๐๐-๐๐๐๐๐๐๐๐ ๐๐๐๐๐ ๐๐๐๐๐
We implement this vision inย SIMSHADOW, showing that fingerprints: โข capture structured, interpretable noise patterns โข reveal systematic cross-platform discrepancies โข correlate with observable divergences in program outputs
More broadly, this work bridgesย ๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐ย andย ๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐, moving toward more reliable and portable quantum software systems. To view or add a comment, sign in New Post: ## Automated Verification of High-Performance Computing (HPC) Kernel Correctness via Dynamic Symbolic Execution & Multi-Modal Model Fusion - Abstract: This paper introduces a novel approach to automatically verify the correctness of computationally intensive kernels within High-Performance Computing (HPC) environments. Leveraging Dynamic Symbolic Execution (DSE) coupled with multi-modal model fusion (combining static code analysis, runtime monitoring, and learned error prediction models), we present a robust verification pipeline capable of detecting elusive corner-case errors that [โฆ] To view or add a comment, sign in The delta between an RFCโs mathematical elegance and a carrier-grade networkโs operational reality is where the most critical engineering failuresโand innovationsโoccur.
For Senior Network Engineers and Researchers, the transition from theoretical models to field deployment often reveals unforeseen variables: hardware-specific buffer behaviors, non-deterministic latency spikes, and the subtle friction of multi-vendor interoperability. Academic rigor provides the foundation, but empirical field data provides the truth.
At PingDo.net, we recognize that the engineering community needs more than just documentation; it needs a translation layer. Our Theory To Field Map is designed to be that bridge. It serves as a strategic framework for professionals who must reconcile high-level protocol design with the constraints of physical infrastructure. By mapping theoretical expectations against real-world performance metrics, we empower researchers to validate their hypotheses and engineers to harden their deployments with surgical precision.
In this deep dive, we explore how to effectively navigate this transition, ensuring that your network architecture remains resilient when moving from the controlled environment of a lab to the high-pressure demands of a live production stack. We analyze the critical checkpoints where theory often diverges from practiceโsuch as protocol convergence under load and state-table exhaustionโand provide the technical insights necessary to close that loop.
Whether you are optimizing global BGP policies or researching next-generation transport protocols, the ability to map theory to field is what separates a functional network from an optimized one.
Elevate your engineering approach and explore the full framework here: https://lnkd.in/dk8-RpXc ๐
Join us in redefining the standard for technical precision in the networking community. ๐ To view or add a comment, sign in New Post: Bayesian Program Analysis for Scalable Probabilistic Verification of Timing Constraints in RealโTime Embedded Systems - โ ### Abstract Realโtime embedded systems are increasingly deployed in safetyโcritical domains, yet their verification remains a bottleneck due to complex concurrency, deterministic timing requirements, and the combinatorial explosion of state spaces. This paper introduces Bayesian Program Analysis (BPA), a dataโdriven approach that automatically learns probabilistic invariants and timing constraints from program execution traces and [โฆ] To view or add a comment, sign in
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๐๐ฎ๐๐ฅ๐๐จ๐ฆ๐ฆ:ย ๐๐๐๐ข๐๐ข๐๐ง๐ญ ๐๐๐๐ฌ๐จ๐ง๐ข๐ง๐ ๐จ๐ง ๐ญ๐ก๐ ๐๐๐ ๐
Deploying complex logic models on resource-constrained edge hardware presents significant challenges due to limited memory and compute power.
A new framework addresses these limitations through Low-Rank Adaptation (LoRA) and budget-forced reinforcement learning. By training models to produce shorter responses without sacrificing accuracy, the system reduces computational overhead during inference.
Further optimizations include parallel test-time scaling and a dynamic adapter-switching mechanism. This approach specifically targets memory-bound decoding phases and overall latency, making it feasible to run sophisticated reasoning tasks on mobile or embedded devices.
The implementation focuses on balancing model performance with hardware constraints, ensuring that intelligence remains accessible without requiring high-end server infrastructure.
paper: https://lnkd.in/eUC47m2M To view or add a comment, sign in
646,005 followers
What does the current quantum software stack look like? Sara A. Metwalli shares the view from the forefront of this rapidly evolving field.
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Model checkers can uncover hard-to-find requirement violation scenarios, but steering them to find all substantially distinct ones in a fault-tolerant system's high-level design can be challenging in practice. Check out our paper recently published in Empirical Software Engineering, if you want to learn how our systematic exploration process can help: https://rdcu.be/eYfrs.
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53 followers
A new paper about a multi-year industrial case study with the thyssenkrupp competence center in Budapest about using formal verification in the automotive industry.
Research Assistant at Budapest University of Technology and Economics
Model checkers can uncover hard-to-find requirement violation scenarios, but steering them to find all substantially distinct ones in a fault-tolerant system's high-level design can be challenging in practice. Check out our paper recently published in Empirical Software Engineering, if you want to learn how our systematic exploration process can help: https://rdcu.be/eYfrs.
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9,293 followers
ParityQC is proud to provide the Architecture/System Layer to the German Quantum Software Stack.
FullStaQD marks a significant step forward for quantum computing in Germany. The collaborative effort brings together leading partners from industry and academia to create a fully open-source reference architecture and reference implementation of quantum software stack. ๐ฉ๐ช๐ช๐บ
At ParityQC, weโre proud to be leading the โSystem Layer,โ building an HPC-compatible quantum architecture infrastructure that will unlock the full potential of quantum computers across different hardware platforms with our world leading Parity Twine method based on the ParityQC Architecture.
The kick-off of our System Layer working package was inspiring. With insightful technical deep dives into Quantum Compilers (ParityQC), Quantum Runtimes (Technische Universitรคt Mรผnchen), Qrisp (Fraunhofer FOKUS) and Quantum HPC integration (Technische Universitรคt Mรผnchen), we could truly feel the determination of all partners to solve the hard problems of a quantum software stack hands-on and deliver a real, impactful solution.
ParityQC is committed to strengthen the German and European quantum ecosystem. We believe in collaborative innovation and empowering a new generation of quantum developers across the whole quantum stack.
Letโs build the future of quantum, together! Bundesdruckerei GmbH, DB Systel GmbH, eleQtron GmbH, Fraunhofer FOKUS, Fraunhofer IAO, FZI Forschungszentrum Informatik, Kipu Quantum, Karlsruher Institut fรผr Technologie (KIT), ParityQC, Technische Universitรคt Mรผnchen
#quantumcomputing #FullStaQD #opensource #ParityQC #quantumtechnology #Europe #innovation #quantumecosystem #ParityQCArchitecture #ParityTwine To view or add a comment, sign in
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We're excited to participate in the upcoming Conference on Systems Engineering Research (CSER) in Arlington, VA, where our team will be demonstrating the Tom Sawyer SysML v2 Viewer and joining discussions around the evolving SysML v2 specification.
This yearโs theme, Intelligent Digital Twin-enabled Systems Engineering for 21st Century Sociotechnical Systems, reflects exactly the kind of complex, model-driven challenges our SysML v2 Viewer is built to support.
We look forward to connecting with the systems engineering research community and contributing to the conversations shaping the next generation of model-based systems engineering.
To learn more about CSER 2026, see their website here: https://bit.ly/4bMKHpx
#CSER2026 #SysMLv2 #MBSE #SystemsEngineering #DigitalEngineering #TomSawyerSoftware To view or add a comment, sign in
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