يعرض 1 - 13 نتائج من 13 نتيجة بحث عن '"West, Maxwell T."', وقت الاستعلام: 0.39s تنقيح النتائج
  1. 1
    Report
    Adversarial Robustness Guarantees for Quantum Classifiers

    المؤلفون: Dowling, Neil, West, Maxwell T., Southwell, Angus, Nakhl, Azar C., Sevior, Martin, Usman, Muhammad, Modi, Kavan

    مصطلحات موضوعية: Quantum Physics, Condensed Matter - Statistical Mechanics, Computer Science - Machine Learning, Nonlinear Sciences - Chaotic Dynamics

    URL الوصول: http://arxiv.org/abs/2405.10360

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  2. 2
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    Provably Trainable Rotationally Equivariant Quantum Machine Learning

    المؤلفون: West, Maxwell T., Heredge, Jamie, Sevior, Martin, Usman, Muhammad

    المصدر: PRX Quantum 5, 030320, 2024

    مصطلحات موضوعية: Quantum Physics

    URL الوصول: http://arxiv.org/abs/2311.05873

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  3. 3
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    Drastic Circuit Depth Reductions with Preserved Adversarial Robustness by Approximate Encoding for Quantum Machine Learning

    المؤلفون: West, Maxwell T., Nakhl, Azar C., Heredge, Jamie, Creevey, Floyd M., Hollenberg, Lloyd C. L., Sevior, Martin, Usman, Muhammad

    المصدر: Intell. Comput. 3, 0100, (2024)

    مصطلحات موضوعية: Quantum Physics

    URL الوصول: http://arxiv.org/abs/2309.09424

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  4. 4
    Report
    Towards quantum enhanced adversarial robustness in machine learning

    المؤلفون: West, Maxwell T., Tsang, Shu-Lok, Low, Jia S., Hill, Charles D., Leckie, Christopher, Hollenberg, Lloyd C. L., Erfani, Sarah M., Usman, Muhammad

    المصدر: Nature Machine Intelligence 5, 581-589, 2023

    مصطلحات موضوعية: Quantum Physics, Computer Science - Artificial Intelligence, Computer Science - Emerging Technologies, Computer Science - Machine Learning

    URL الوصول: http://arxiv.org/abs/2306.12688

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  5. 5
    Report
    Boosted Ensembles of Qubit and Continuous Variable Quantum Support Vector Machines for B Meson Flavour Tagging

    المؤلفون: West, Maxwell T., Sevior, Martin, Usman, Muhammad

    المصدر: Advanced Quantum Technologies, 2023

    مصطلحات موضوعية: Quantum Physics

    URL الوصول: http://arxiv.org/abs/2305.02729

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  6. 6
    Report
    Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image Generation

    المؤلفون: Tsang, Shu Lok, West, Maxwell T., Erfani, Sarah M., Usman, Muhammad

    المصدر: IEEE Transactions on Quantum Engineering 2023

    مصطلحات موضوعية: Quantum Physics, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning

    URL الوصول: http://arxiv.org/abs/2212.11614

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  7. 7
    Report
    Reflection Equivariant Quantum Neural Networks for Enhanced Image Classification

    المؤلفون: West, Maxwell T., Sevior, Martin, Usman, Muhammad

    المصدر: Machine Learning: Science and Technology 4, 035027, 2023

    مصطلحات موضوعية: Quantum Physics

    URL الوصول: http://arxiv.org/abs/2212.00264

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  8. 8
    Report
    Benchmarking Adversarially Robust Quantum Machine Learning at Scale

    المؤلفون: West, Maxwell T., Erfani, Sarah M., Leckie, Christopher, Sevior, Martin, Hollenberg, Lloyd C. L., Usman, Muhammad

    المصدر: Physical Review Research 5, 023186, (2023)

    مصطلحات موضوعية: Quantum Physics, Computer Science - Emerging Technologies, Computer Science - Machine Learning, Physics - Computational Physics

    URL الوصول: http://arxiv.org/abs/2211.12681

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  9. 9
    Report
    Influence of sample momentum space features on scanning tunnelling microscope measurements

    المؤلفون: West, Maxwell T., Usman, Muhammad

    المصدر: Nanoscale 2021

    مصطلحات موضوعية: Condensed Matter - Materials Science, Condensed Matter - Mesoscale and Nanoscale Physics, Physics - Applied Physics, Physics - Computational Physics, Quantum Physics

    URL الوصول: http://arxiv.org/abs/2107.11980

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  10. 10
    Academic Journal
    Provably Trainable Rotationally Equivariant Quantum Machine Learning

    المؤلفون: West, Maxwell T., Heredge, Jamie, Sevior, Martin, Usman, Muhammad

    المساهمون: Australian Research Council, National Computing Infrastructure, Pawsey Supercomputing Research Center, National Computational Merit Allocation Scheme, The University of Melbourne’s Research Computing Services, the Petascale Campus Initiative

    المصدر: PRX Quantum ; volume 5, issue 3 ; ISSN 2691-3399

    الاتاحة: http://dx.doi.org/10.1103/prxquantum.5.030320
    https://link.aps.org/article/10.1103/PRXQuantum.5.030320
    http://harvest.aps.org/v2/journals/articles/10.1103/PRXQuantum.5.030320/fulltext

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  11. 11
    Academic Journal
    Hybrid Quantum–Classical Generative Adversarial Network for High-Resolution Image Generation

    المؤلفون: Tsang, Shu Lok, West, Maxwell T., Erfani, Sarah M., Usman, Muhammad

    المساهمون: Australian Government Research Training Program Scholarship, Australian Research Council Discovery Early Career Researcher Award

    المصدر: IEEE Transactions on Quantum Engineering ; volume 4, page 1-19 ; ISSN 2689-1808

    الاتاحة: http://dx.doi.org/10.1109/tqe.2023.3319319
    http://xplorestaging.ieee.org/ielx7/8924785/9998549/10264175.pdf?arnumber=10264175

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  12. 12
    Academic Journal
    Benchmarking adversarially robust quantum machine learning at scale

    المؤلفون: West, Maxwell T., Erfani, Sarah M., Leckie, Christopher, Sevior, Martin, Hollenberg, Lloyd C. L., Usman, Muhammad

    المساهمون: Australian Research Council

    المصدر: Physical Review Research ; volume 5, issue 2 ; ISSN 2643-1564

    الاتاحة: http://dx.doi.org/10.1103/physrevresearch.5.023186
    https://link.aps.org/article/10.1103/PhysRevResearch.5.023186
    http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevResearch.5.023186/fulltext

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  13. 13
    Academic Journal
    Framework for Donor-Qubit Spatial Metrology in Silicon with Depths Approaching the Bulk Limit

    المؤلفون: West, Maxwell T., Usman, Muhammad

    المساهمون: Australian Research Council, U.S. Army Research Office

    المصدر: Physical Review Applied ; volume 17, issue 2 ; ISSN 2331-7019

    الاتاحة: http://dx.doi.org/10.1103/physrevapplied.17.024070
    https://link.aps.org/article/10.1103/PhysRevApplied.17.024070
    http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevApplied.17.024070/fulltext

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