Articles with "quantum machine" as a keyword



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Implementation of Quantum Machine Learning for Electronic Structure Calculations of Periodic Systems on Quantum Computing Devices

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Published in 2021 at "Journal of chemical information and modeling"

DOI: 10.1021/acs.jcim.1c00294

Abstract: Quantum machine learning algorithms, the extensions of machine learning to quantum regimes, are believed to be more powerful as they leverage the power of quantum properties. Quantum machine learning methods have been employed to solve… read more here.

Keywords: machine; quantum machine; electronic structure; machine learning ... See more keywords
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Quantum machine learning for electronic structure calculations

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Published in 2018 at "Nature Communications"

DOI: 10.1038/s41467-018-06598-z

Abstract: Considering recent advancements and successes in the development of efficient quantum algorithms for electronic structure calculations—alongside impressive results using machine learning techniques for computation—hybridizing quantum computing with machine learning for the intent of performing electronic… read more here.

Keywords: machine; quantum machine; machine learning; electronic structure ... See more keywords
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Experimental kernel-based quantum machine learning in finite feature space

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Published in 2020 at "Scientific Reports"

DOI: 10.1038/s41598-020-68911-5

Abstract: We implement an all-optical setup demonstrating kernel-based quantum machine learning for two-dimensional classification problems. In this hybrid approach, kernel evaluations are outsourced to projective measurements on suitably designed quantum states encoding the training data, while… read more here.

Keywords: machine learning; quantum machine; space; kernel based ... See more keywords
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Fitting quantum machine learning potentials to experimental free energy data: predicting tautomer ratios in solution

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Published in 2021 at "Chemical Science"

DOI: 10.1039/d1sc01185e

Abstract: The computation of tautomer ratios of druglike molecules is enormously important in computer-aided drug discovery, as over a quarter of all approved drugs can populate multiple tautomeric species in solution. Unfortunately, accurate calculations of aqueous… read more here.

Keywords: tautomer ratios; quantum machine; machine learning; quantum chemical ... See more keywords
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Quantum Machine Learning over Infinite Dimensions.

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Published in 2017 at "Physical review letters"

DOI: 10.1103/physrevlett.118.080501

Abstract: Machine learning is a fascinating and exciting field within computer science. Recently, this excitement has been transferred to the quantum information realm. Currently, all proposals for the quantum version of machine learning utilize the finite-dimensional… read more here.

Keywords: machine; quantum machine; machine learning; learning infinite ... See more keywords
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Quantum Machine Learning Applications in the Biomedical Domain: A Systematic Review

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3195044

Abstract: 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 in… read more here.

Keywords: machine; machine learning; applications biomedical; quantum machine ... See more keywords
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Prognostics and Health Management of Rotating Machinery via Quantum Machine Learning

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Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3255417

Abstract: Prognostics and Health Management (PHM) concerns predicting machines’ behavior to support maintenance decisions through failure modes diagnosis and prognosis. Diagnosis is broadly applied in the context of rotating machines’ state classification using several traditional Machine… read more here.

Keywords: machine; machine learning; rotating machinery; quantum machine ... See more keywords
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Quantum Machine Intelligence for 6G URLLC

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Published in 2023 at "IEEE Wireless Communications"

DOI: 10.1109/mwc.003.2200382

Abstract: Immersive and mission-critical data-driven applications, such as virtual or augmented reality, tactile Internet, industrial automation, and autonomous mobility, are creating unprecedented challenges for ultra-reliable and low-latency communication (URLLC) in the sixth generation (6G) networks. Machine… read more here.

Keywords: machine; quantum machine; machine intelligence; intelligence urllc ... See more keywords
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A Quantum Machine Learning Approach to Spatiotemporal Emission Modelling

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Published in 2023 at "Atmosphere"

DOI: 10.3390/atmos14060944

Abstract: Despite the growing impact of emissions on our health and the environment, there remains an unmet need for emission concentration prediction and forecasting. The accumulating monitoring station and satellite data make the problem well-suited for… read more here.

Keywords: quantum machine; machine learning; emission; learning approach ... See more keywords
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A Preprocessing Perspective for Quantum Machine Learning Classification Advantage in Finance Using NISQ Algorithms

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Published in 2022 at "Entropy"

DOI: 10.3390/e24111656

Abstract: Quantum Machine Learning (QML) has not yet demonstrated extensively and clearly its advantages compared to the classical machine learning approach. So far, there are only specific cases where some quantum-inspired techniques have achieved small incremental… read more here.

Keywords: algorithms; quantum; finance; machine learning ... See more keywords
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Quantum Machine Learning: A Review and Case Studies

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Published in 2023 at "Entropy"

DOI: 10.3390/e25020287

Abstract: Despite its undeniable success, classical machine learning remains a resource-intensive process. Practical computational efforts for training state-of-the-art models can now only be handled by high speed computer hardware. As this trend is expected to continue,… read more here.

Keywords: machine; quantum machine; machine learning; learning review ... See more keywords