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Machine Learning: Quantum vs Classical
IEEE Access, 2020 Encouraged by growing computing power and algorithmic development, machine learning technologies have become powerful tools for a wide variety of application areas, spanning from agriculture to chemistry and natural language processing.
Tariq M. Khan, Antonio Robles-Kelly
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Quantum Machine Learning: A Review and Case Studies
Entropy, 2023 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.
Amine Zeguendry +2 more
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Optimal Multi-Bit Toffoli Gate Synthesis
IEEE Access, 2023 Multi-bit Toffoli gates form an essential quantum gate class for quantum algorithms. They should be efficiently decomposed into elementary single- or multi-qubit quantum gates, such as CNOT, T, and Hadarmard, for a scalable implementation of a quantum ...
Young-Min Jun, In-Chan Choi
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Progress towards Analytically Optimal Angles in Quantum Approximate Optimisation
Mathematics, 2022 The quantum approximate optimisation algorithm is a p layer, time variable split operator method executed on a quantum processor and driven to convergence by classical outer-loop optimisation.
Daniil Rabinovich +4 more
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Quantum Optical Experiments Modeled by Long Short-Term Memory
Photonics, 2021 We demonstrate how machine learning is able to model experiments in quantum physics. Quantum entanglement is a cornerstone for upcoming quantum technologies, such as quantum computation and quantum cryptography. Of particular interest are complex quantum
Thomas Adler +5 more
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Quantum Reinforcement Learning with Quantum Photonics
Photonics, 2021 Quantum machine learning has emerged as a promising paradigm that could accelerate machine learning calculations. Inside this field, quantum reinforcement learning aims at designing and building quantum agents that may exchange information with their ...
Lucas Lamata
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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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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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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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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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