Results 21 to 30 of about 154,173 (259)
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
doaj +1 more source
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
doaj +1 more source
Experimental Evaluation of Quantum Machine Learning Algorithms
IEEE Access, 2023 Machine learning and quantum computing are both areas with considerable progress in recent years. The combination of these disciplines holds great promise for both research and practical applications.
Ricardo Daniel Monteiro Simoes +5 more
doaj +1 more source
Quantum machine learning beyond kernel methods. [PDF]
Nat Commun, 2023 AbstractMachine learning algorithms based on parametrized quantum circuits are prime candidates for near-term applications on noisy quantum computers. In this direction, various types of quantum machine learning models have been introduced and studied extensively. Yet, our understanding of how these models compare, both mutually and to classical models,
Jerbi S +5 more
europepmc +7 more sources
Quantum machine learning: a classical perspective [PDF]
, 2018 Recently, increased computational power and data availability, as well as algorithmic advances, have led machine learning techniques to impressive results in regression, classification, data-generation and reinforcement learning tasks.
Ben-David S +15 more
core +2 more sources
IEEE Open Journal of Vehicular Technology, 2022 Quantum computing is envisaged as an evolving paradigm for solving computationally complex optimization problems with a large-number factorization and exhaustive search.
Trung Q. Duong +5 more
doaj +1 more source
Progress in Constraining Nuclear Symmetry Energy Using Neutron Star Observables Since GW170817
Universe, 2021 The density dependence of nuclear symmetry energy is among the most uncertain parts of the Equation of State (EOS) of dense neutron-rich nuclear matter.
Bao-An Li +3 more
doaj +1 more source
Supervised Quantum Learning without Measurements [PDF]
, 2017 We propose a quantum machine learning algorithm for efficiently solving a class of problems encoded in quantum controlled unitary operations. The central physical mechanism of the protocol is the iteration of a quantum time-delayed equation that ...
Alvarez-Rodriguez, Unai +4 more
core +4 more sources
Quantum machine learning in ophthalmology. [PDF]
Eye (Lond)Masalkhi M, Ong J, Waisberg E, Lee AG.
europepmc +3 more sources
Energy Reports, 2022 Infrastructure development is expected to support economic growth in Indonesia. Infrastructure development related to logistics and energy is a top priority based on the Indonesia’s development plan.
Muhammad Arif Budiyanto +3 more
doaj +1 more source