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๐Ÿš€ Our paper has been accepted at the 19th IEEE International Conference on Software Testing, Verification and Validation (ICST 2026).

๐Ÿ“„ย ๐˜›๐˜ฐ๐˜ธ๐˜ข๐˜ณ๐˜ฅ ๐˜“๐˜ช๐˜ท๐˜ฆ ๐˜•๐˜ฐ๐˜ช๐˜ด๐˜ฆ ๐˜๐˜ช๐˜ฏ๐˜จ๐˜ฆ๐˜ณ๐˜ฑ๐˜ณ๐˜ช๐˜ฏ๐˜ต๐˜ช๐˜ฏ๐˜จ ๐˜ง๐˜ฐ๐˜ณ ๐˜‹๐˜ช๐˜ด๐˜ค๐˜ณ๐˜ฆ๐˜ฑ๐˜ข๐˜ฏ๐˜ค๐˜บ ๐˜ˆ๐˜ฏ๐˜ข๐˜ญ๐˜บ๐˜ด๐˜ช๐˜ด ๐˜ช๐˜ฏ ๐˜˜๐˜ถ๐˜ข๐˜ฏ๐˜ต๐˜ถ๐˜ฎ ๐˜š๐˜ฐ๐˜ง๐˜ต๐˜ธ๐˜ข๐˜ณ๐˜ฆ ๐˜Œ๐˜ฏ๐˜จ๐˜ช๐˜ฏ๐˜ฆ๐˜ฆ๐˜ณ๐˜ช๐˜ฏ๐˜จ ๐Ÿ”—ย 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 ๐’๐’Š๐’—๐’† ๐’๐’๐’Š๐’”๐’† ๐’‡๐’Š๐’๐’ˆ๐’†๐’“๐’‘๐’“๐’Š๐’๐’•๐’Š๐’๐’ˆ, a lightweight and empirical approach to characterising noisy quantum systems.

Our key idea: โ†’ leverageย ๐’„๐’๐’‚๐’”๐’”๐’Š๐’„๐’‚๐’ ๐’”๐’‰๐’‚๐’…๐’๐’˜ ๐’•๐’†๐’„๐’‰๐’๐’Š๐’’๐’–๐’†๐’”ย 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 ๐’•๐’†๐’”๐’•๐’Š๐’๐’ˆ, ๐’…๐’†๐’ƒ๐’–๐’ˆ๐’ˆ๐’Š๐’๐’ˆ, and ๐’„๐’“๐’๐’”๐’”-๐’‘๐’๐’‚๐’•๐’‡๐’๐’“๐’Ž ๐’—๐’‚๐’๐’Š๐’…๐’‚๐’•๐’Š๐’๐’

We implement this vision inย SIMSHADOW, showing that fingerprints: โ€ข capture structured, interpretable noise patterns โ€ข reveal systematic cross-platform discrepancies โ€ข correlate with observable divergences in program outputs

More broadly, this work bridgesย ๐’’๐’–๐’‚๐’๐’•๐’–๐’Ž ๐’Š๐’๐’‡๐’๐’“๐’Ž๐’‚๐’•๐’Š๐’๐’ ๐’•๐’‰๐’†๐’๐’“๐’šย andย ๐’”๐’๐’‡๐’•๐’˜๐’‚๐’“๐’† ๐’•๐’†๐’”๐’•๐’Š๐’๐’ˆ, 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! ๐Ÿ˜‰ To view or add a comment, sign in Our latest paper was accepted for ICST short papers, vision and emerging result track! ๐Ÿฅณ

The preprint is already available online, check it out! ๐Ÿ˜‰

โ€œTowards Live Noise Fingerprinting for Discrepancy Analysis in Quantum Software Engineeringโ€

            PhD Candidate | Hybrid Quantumโ€“Classical Architectures | Quantum Software Testability | Kingโ€™s College London
        ๐Ÿš€ Our paper has been accepted at the 19th IEEE International Conference on Software Testing, Verification and Validation (ICST 2026).

๐Ÿ“„ย ๐˜›๐˜ฐ๐˜ธ๐˜ข๐˜ณ๐˜ฅ ๐˜“๐˜ช๐˜ท๐˜ฆ ๐˜•๐˜ฐ๐˜ช๐˜ด๐˜ฆ ๐˜๐˜ช๐˜ฏ๐˜จ๐˜ฆ๐˜ณ๐˜ฑ๐˜ณ๐˜ช๐˜ฏ๐˜ต๐˜ช๐˜ฏ๐˜จ ๐˜ง๐˜ฐ๐˜ณ ๐˜‹๐˜ช๐˜ด๐˜ค๐˜ณ๐˜ฆ๐˜ฑ๐˜ข๐˜ฏ๐˜ค๐˜บ ๐˜ˆ๐˜ฏ๐˜ข๐˜ญ๐˜บ๐˜ด๐˜ช๐˜ด ๐˜ช๐˜ฏ ๐˜˜๐˜ถ๐˜ข๐˜ฏ๐˜ต๐˜ถ๐˜ฎ ๐˜š๐˜ฐ๐˜ง๐˜ต๐˜ธ๐˜ข๐˜ณ๐˜ฆ ๐˜Œ๐˜ฏ๐˜จ๐˜ช๐˜ฏ๐˜ฆ๐˜ฆ๐˜ณ๐˜ช๐˜ฏ๐˜จ ๐Ÿ”—ย 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 ๐’๐’Š๐’—๐’† ๐’๐’๐’Š๐’”๐’† ๐’‡๐’Š๐’๐’ˆ๐’†๐’“๐’‘๐’“๐’Š๐’๐’•๐’Š๐’๐’ˆ, a lightweight and empirical approach to characterising noisy quantum systems.

Our key idea: โ†’ leverageย ๐’„๐’๐’‚๐’”๐’”๐’Š๐’„๐’‚๐’ ๐’”๐’‰๐’‚๐’…๐’๐’˜ ๐’•๐’†๐’„๐’‰๐’๐’Š๐’’๐’–๐’†๐’”ย 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 ๐’•๐’†๐’”๐’•๐’Š๐’๐’ˆ, ๐’…๐’†๐’ƒ๐’–๐’ˆ๐’ˆ๐’Š๐’๐’ˆ, and ๐’„๐’“๐’๐’”๐’”-๐’‘๐’๐’‚๐’•๐’‡๐’๐’“๐’Ž ๐’—๐’‚๐’๐’Š๐’…๐’‚๐’•๐’Š๐’๐’

We implement this vision inย SIMSHADOW, showing that fingerprints: โ€ข capture structured, interpretable noise patterns โ€ข reveal systematic cross-platform discrepancies โ€ข correlate with observable divergences in program outputs

More broadly, this work bridgesย ๐’’๐’–๐’‚๐’๐’•๐’–๐’Ž ๐’Š๐’๐’‡๐’๐’“๐’Ž๐’‚๐’•๐’Š๐’๐’ ๐’•๐’‰๐’†๐’๐’“๐’šย andย ๐’”๐’๐’‡๐’•๐’˜๐’‚๐’“๐’† ๐’•๐’†๐’”๐’•๐’Š๐’๐’ˆ, moving toward more reliable and portable quantum software systems. To view or add a comment, sign in Exploring unit testing of quantum subroutines raises interesting challenges due to non-deterministic outcomes and the rich semantics of quantum operations. Testing in this setting involves important trade-offs between computational cost and coverage, where context plays a key role in selecting appropriate verification protocols.

https://lnkd.in/gi9PiUTY To view or add a comment, sign in After more than 15 years of working in similar fields, this week marked a firstโ€”attending a conference together. (Having it right here in Halifax helped!)

At IEEE SYSCON 2026, Adam Weissman and I both had the opportunity to present and share perspectives from our respective corners of systems engineering.

I presented โ€œEvolving Approaches to Requirements Management in Defence Programs: Balancing As-Built Fidelity and Forward-Looking Intent in the Era of Digital Engineeringโ€, focusing on how we adapt requirements practices in increasingly complex, model-based environments.

Adam presented โ€œFrom Blueprint to Reality: A Practitionerโ€™s Method for SysML Hardware and Software Deployment Trackingโ€, bringing a practical lens to bridging design intent and real-world implementation.

With participants from over 27 countries across academia, industry, and government, it was inspiring to see where systems engineering is headingโ€”and to learn from the breadth of perspectives shaping its future.

    To view or add a comment, sign in
What is the best quantum SDK?

Arguably, there isnโ€™t one. It depends on what you want to do.

Different quantum Software Development Kits are built with very different priorities: some are education-first, some are hardware-first, some are machine-learning-first, and some are just research playgrounds.

If you want to cut through the noise, the most used options break down like this:

Table taken from this practical guide: https://lnkd.in/epVfNE-r To view or add a comment, sign in

New Post: Efficient Parallel Proof Assembly for zkโ€‘Rollup: Adaptive Circuit Pruning and Transaction Batching to Minimise Generation Latency and Gas Costs - Abstract Zeroโ€‘knowledge rollups (zkโ€‘Rollups) transfer the bulk of transaction validation offโ€‘chain while preserving succinct proofs on the main chain, yet the time to generate a valid zkโ€‘SNARK can become a bottleneck for highโ€‘throughput applications. We propose a practical framework that jointly optimises circuit design and transaction aggregation. Our contributions are: (1) a lightweight activeโ€‘resizing routine [โ€ฆ]

[Source & Legal Disclaimer] This is an AI-generated simulation research dataset provided by Freederia.com, released under the Apache 2.0 License. Users may freely modify and commercially use this data (including patenting novel improvements); however, obtaining exclusive patent rights on the original raw data itself is prohibited. As this is AI-simulated data, users are strictly responsible for independently verifying existing copyrights and patents before use. The provider assumes no legal liability. For future Enterprise API access and bulk dataset purchase inquiries, please contact Freederia.com. To view or add a comment, sign in

New Post: Hybrid Classicalโ€‘Quantum Scheduling for Quantum Volume Benchmarking in Trappedโ€‘Ion Qubit Architectures - Abstract Simulated results indicate that our hybrid classicalโ€‘quantum workflow jointly optimizes gate scheduling and employs errorโ€‘mitigation techniques tailored to trappedโ€‘ion architectures, maximizing the logical depth attainable within the error budget. Using the IonQ Hโ€‘bucket trappedโ€‘ion platform, we performed extensive classical simulations of 7โ€‘qubit random Clifford circuits, exploring schedules that minimize simultaneous multiโ€‘qubit operations while respecting [โ€ฆ]

[Source & Legal Disclaimer] This is an AI-generated simulation research dataset provided by Freederia.com, released under the Apache 2.0 License. Users may freely modify and commercially use this data (including patenting novel improvements); however, obtaining exclusive patent rights on the original raw data itself is prohibited. As this is AI-simulated data, users are strictly responsible for independently verifying existing copyrights and patents before use. The provider assumes no legal liability. For future Enterprise API access and bulk dataset purchase inquiries, please contact Freederia.com. To view or add a comment, sign in

New Post: Frequencyโ€‘Selective Ancillaโ€‘Assisted Measurementโ€‘Based Quantum Error Mitigation for Surface Code Architectures - Abstract (212 words) Reliable quantum computation hinges on the suppression of decoherence and operational noise. Surface code architectures offer high thresholds but still suffer from measurementโ€‘induced error propagation, especially in largeโ€‘scale faultโ€‘tolerant processors. We propose a measurementโ€‘based quantum error mitigation scheme that employs frequencyโ€‘selective ancilla qubits to isolate and correct probabilistic leakage and dephasing errors [โ€ฆ]

[Source & Legal Disclaimer] This is an AI-generated simulation research dataset provided by Freederia.com, released under the Apache 2.0 License. Users may freely modify and commercially use this data (including patenting novel improvements); however, obtaining exclusive patent rights on the original raw data itself is prohibited. As this is AI-simulated data, users are strictly responsible for independently verifying existing copyrights and patents before use. The provider assumes no legal liability. For future Enterprise API access and bulk dataset purchase inquiries, please contact Freederia.com. To view or add a comment, sign in Check out our new A&A Letter, โ€œUltra-fast simulations of the solar dipole and open fluxโ€: https://lnkd.in/dD9X9j9N

The letter presents a dipole flux transport (DFT) model, which simulates the evolution of the solar dipole vector under the dynamics of the classic surface flux transport (SFT) model.

The trick is that the dynamics of the SFT model are captured with a precomputed propagation matrices that allows speedups of up to four orders of magnitude compared to SFT calculations.

Just as an example, with DFT, I can simulate the four-year time evolution of 10,000 active regions in less than 30 seconds with my basic laptop from 2019. This speedup makes the calculations from my previous paper, which were done with the computing cluster at CSC, computationally trivial.

As the magnitude of the solar dipole vector closely matches the open solar flux from the most commonly used PFSS model, the DFT can be used to study the development of the open flux extremely efficiently in various scenarios, for example, with probabilistic ensemble methods.

I have shared my DFT code together with precomputed propagation matrices on GitHub. I am not a software developer, so the code is not pretty, but I intend to keep the repository updated as I am now using DFT exclusively for my dipole calculations.

In the spirit of one of the great scientific virtues, laziness, the idea of DFT was born when I got tired of sending endless SFT runs to the computing cluster and then waiting in the queue. To view or add a comment, sign in

New Post: Adaptive Resourceโ€‘Efficient Scheduling for 15โ€‘toโ€‘1 Tโ€‘State Distillation on Surfaceโ€‘Code Architectures - Abstract (235 words) Magicโ€‘state distillation remains the dominant bottleneck for implementing nonโ€‘Clifford gates in faultโ€‘tolerant quantum computers, particularly on surfaceโ€‘code hardware where qubit overhead and execution latency directly impact logicalโ€‘error rate and throughput. We introduce an adaptive scheduling framework that maps the 15โ€‘toโ€‘1 Bravyiโ€“Kitaev Tโ€‘state distillation protocol onto a fixed square logicalโ€‘qubit lattice while dynamically [โ€ฆ]

[Source & Legal Disclaimer] This is an AI-generated simulation research dataset provided by Freederia.com, released under the Apache 2.0 License. Users may freely modify and commercially use this data (including patenting novel improvements); however, obtaining exclusive patent rights on the original raw data itself is prohibited. As this is AI-simulated data, users are strictly responsible for independently verifying existing copyrights and patents before use. The provider assumes no legal liability. For future Enterprise API access and bulk dataset purchase inquiries, please contact Freederia.com. To view or add a comment, sign in

New Post: Geometric Phaseโ€‘Only Quantum Gate Design for Faultโ€‘Tolerant Surface Code Architectures - Advances in Quantum Information, 2025, Vol.โ€ฏ12, No.โ€ฏ4 โ€” ### Abstract Faultโ€‘tolerant quantum computing with surface codes requires a repertoire of logical gates that preserve computational integrity under realistic noise models. Conventional implementations of nonโ€‘Clifford gates rely on costly magicโ€‘state distillation, whereas geometric phase gates offer a pathway to deterministic, hardwareโ€‘efficient operations. Here we present a [โ€ฆ]

[Source & Legal Disclaimer] This is an AI-generated simulation research dataset provided by Freederia.com, released under the Apache 2.0 License. Users may freely modify and commercially use this data (including patenting novel improvements); however, obtaining exclusive patent rights on the original raw data itself is prohibited. As this is AI-simulated data, users are strictly responsible for independently verifying existing copyrights and patents before use. The provider assumes no legal liability. For future Enterprise API access and bulk dataset purchase inquiries, please contact Freederia.com. To view or add a comment, sign in

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