Results 21 to 30 of about 21,815 (240)
QCAE-QOC-SVM: A hybrid quantum machine learning model for DoS and Fuzzy attack detection on autonomous vehicle CAN bus [PDF]
MethodsXIn this study, we introduce a hybrid quantum machine learning method to identify Normal signal, DoS, and Fuzzy attacks on the CAN bus utilized in autonomous vehicles.
Meghana R +2 more
doaj +2 more sources
Advanced Quantum TechnologiesThe meteoric rise of artificial intelligence in recent years has seen machine learning methods become ubiquitous in modern science, technology, and industry. Concurrently, the emergence of programmable quantum computers, coupled with the expectation that large-scale fault-tolerant machines will follow in the near to medium-term future, has led to much ...
S Karthikeyan +3 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 machine learning in ophthalmology. [PDF]
Eye (Lond)Masalkhi M, Ong J, Waisberg E, Lee AG.
europepmc +3 more sources
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-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
Dunjko, Vedran +2 more
openaire +3 more sources
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
doaj +1 more source
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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