Results 31 to 40 of about 8,042,432 (193)
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
Quantum adiabatic machine learning [PDF]
Quantum Information Processing, 2012 21 pages, 9 ...
Kristen L. Pudenz, Daniel A. Lidar
openaire +2 more sources
, 2020 Click on the DOI link to access the article (may not be free).Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method.
De, Sourav +5 more
core +1 more source
Machine Learning for Quantum Metrology [PDF]
11th Italian Quantum Information Science conference (IQIS2018), 2019 Phase estimation represents a significant example to test the application of quantum theory for enhanced measurements of unknown physical parameters. Several recipes have been developed, allowing to define strategies to reach the ultimate bounds in the asymptotic limit of a large number of trials. However, in certain applications it is crucial to reach
Spagnolo, Nicolò +5 more
openaire +2 more sources
Distributed Quantum Machine Learning
, 2022 Quantum computers can solve specific complex tasks for which no reasonable-time classical algorithm is known. Quantum computers do however also offer inherent security of data, as measurements destroy quantum states. Using shared entangled states, multiple parties can collaborate and securely compute quantum algorithms.
Niels M. P. Neumann, Robert S. Wezeman
openaire +3 more sources
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
openaire +3 more sources
Coloured image classification with quantum machine learning algorithms for intelligent transportation systems [PDF]
, 2023 Quantum computers have great potential to change the future of Artificial Intelligence (AI) applications for practical problems. There currently exist some algorithm design that takes exponential time on a classical computer can take polynomial time on a
Ria, Farina
core +1 more source
Subtleties in the trainability of quantum machine learning models
, 2023 A new paradigm for data science has emerged, with quantum data, quantum models, and quantum computational devices. This field, called quantum machine learning (QML), aims to achieve a speedup over traditional machine learning for data analysis.
Marco Cerezo +9 more
core +1 more source
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
openaire +4 more sources
Machine learning and quantum devices [PDF]
SciPost Physics Lecture Notes, 2021 These brief lecture notes cover the basics of neural networks and deep learning as well as their applications in the quantum domain, for physicists without prior knowledge. In the first part, we describe training using backpropagation, image classification, convolutional networks and autoencoders.
openaire +4 more sources