Quantum machine learning
Fuelled by increasing computer power and algorithmic advances, machine learning
techniques have become powerful tools for finding patterns in data. Quantum systems …
techniques have become powerful tools for finding patterns in data. Quantum systems …
Quantum computing for finance
Quantum computers are expected to surpass the computational capabilities of classical
computers and have a transformative impact on numerous industry sectors. We present a …
computers and have a transformative impact on numerous industry sectors. We present a …
Machine learning & artificial intelligence in the quantum domain: a review of recent progress
Quantum information technologies, on the one hand, and intelligent learning systems, on the
other, are both emergent technologies that are likely to have a transformative impact on our …
other, are both emergent technologies that are likely to have a transformative impact on our …
Quantum convolutional neural network for classical data classification
With the rapid advance of quantum machine learning, several proposals for the quantum-
analogue of convolutional neural network (CNN) have emerged. In this work, we benchmark …
analogue of convolutional neural network (CNN) have emerged. In this work, we benchmark …
A survey of quantum computing for finance
Quantum computers are expected to surpass the computational capabilities of classical
computers during this decade and have transformative impact on numerous industry sectors …
computers during this decade and have transformative impact on numerous industry sectors …
Quantum walk and its application domains: A systematic review
K Kadian, S Garhwal, A Kumar - Computer Science Review, 2021 - Elsevier
Quantum random walk is the quantum counterpart of a classical random walk. The classical
random walk concept has long been used as a computational framework for designing …
random walk concept has long been used as a computational framework for designing …
Potential of quantum computing for drug discovery
Y Cao, J Romero… - IBM Journal of Research …, 2018 - ieeexplore.ieee.org
Quantum computing has rapidly advanced in recent years due to substantial development in
both hardware and algorithms. These advances are carrying quantum computers closer to …
both hardware and algorithms. These advances are carrying quantum computers closer to …
Focus beyond quadratic speedups for error-corrected quantum advantage
In this perspective we discuss conditions under which it would be possible for a modest fault-
tolerant quantum computer to realize a runtime advantage by executing a quantum …
tolerant quantum computer to realize a runtime advantage by executing a quantum …
Quantum machine learning: A review and case studies
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 …
process. Practical computational efforts for training state-of-the-art models can now only be …
Amplitude transformed quantum convolutional neural network
S Di, J Xu, G Shu, C Feng, X Ding, Z Shan - Applied Intelligence, 2023 - Springer
With the rapid development of quantum neural networks (QNN), several quantum
simulations of convolutional neural networks (CNN) have been proposed. Among them …
simulations of convolutional neural networks (CNN) have been proposed. Among them …