Results 11 to 20 of about 23,653 (255)
Quantum adversarial machine learning [PDF]
Physical Review Research, 2020 Adversarial machine learning is an emerging field that focuses on studying vulnerabilities of machine learning approaches in adversarial settings and developing techniques accordingly to make learning robust to adversarial manipulations. It plays a vital
Sirui Lu, Lu-Ming Duan, Dong-Ling Deng
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Quantum machine learning in ophthalmology. [PDF]
Eye (Lond)Masalkhi M, Ong J, Waisberg E, Lee AG.
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Quantum Machine Learning for Finance
CoRR, 2021 Quantum computers are expected to surpass the computational capabilities of classical computers during this decade, and achieve disruptive impact on numerous industry sectors, particularly finance. In fact, finance is estimated to be the first industry sector to benefit from Quantum Computing not only in the medium and long terms, but even in the short
Marco Pistoia +12 more
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Quantum-Enhanced Machine Learning [PDF]
Physical Review Letters, 2016 5+15 pages. This paper builds upon and mostly supersedes arXiv:1507.08482. In addition to results provided in this previous work, here we achieve learning improvements in more general environments, and provide connections to other work in quantum machine learning. Explicit constructions of oracularized environments given in arXiv:1507.08482 are omitted
Vedran Dunjko +2 more
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Quantum Machine Learning with SQUID
Quantum, 2022 In this work we present the Scaled QUantum IDentifier (SQUID), an open-source framework for exploring hybrid Quantum-Classical algorithms for classification problems. The classical infrastructure is based on PyTorch and we provide a standardized design to implement a variety of quantum models with the capability of back-propagation for efficient ...
Roggero, Alessandro +3 more
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Quantum Machine Learning Applications in the Biomedical Domain: A Systematic Review
IEEE Access, 2022 Quantum technologies have become powerful tools for a wide range of application disciplines, which tend to range from chemistry to agriculture, natural language processing, and healthcare due to exponentially growing computational power and advancement ...
Danyal Maheshwari +2 more
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Quantum Machine Learning: A tutorial
Neurocomputing, 2022 This tutorial provides an overview of Quantum Machine Learning (QML), a relatively novel discipline that brings together concepts from Machine Learning (ML), Quantum Computing (QC) and Quantum Information (QI). The great development experienced by QC, partly due to the involvement of giant technological companies as well as the popularity and success ...
José David Martín-Guerrero +1 more
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Machine learning aided carrier recovery in continuous-variable quantum key distribution
npj Quantum Information, 2021 The secret key rate of a continuous-variable quantum key distribution (CV-QKD) system is limited by excess noise. A key issue typical to all modern CV-QKD systems implemented with a reference or pilot signal and an independent local oscillator is ...
Hou-Man Chin +4 more
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Practical advantage of quantum machine learning in ghost imaging
Communications Physics, 2023 Demonstrating the practical advantage of quantum computation remains a long-standing challenge whereas quantum machine learning becomes a promising application that can be resorted to.
Tailong Xiao +4 more
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Quantum machine learning: from physics to software engineering
Advances in Physics: X, 2023 Quantum machine learning is a rapidly growing field at the intersection of quantum technology and artificial intelligence. This review provides a two-fold overview of several key approaches that can offer advancements in both the development of quantum ...
Alexey Melnikov +3 more
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