Quantum computing for finance: State-of-the-art and future prospects
This article outlines our point of view regarding the applicability, state-of-the-art, and
potential of quantum computing for problems in finance. We provide an introduction to …
potential of quantum computing for problems in finance. We provide an introduction to …
Recent advances for quantum classifiers
Abstract Machine learning has achieved dramatic success in a broad spectrum of
applications. Its interplay with quantum physics may lead to unprecedented perspectives for …
applications. Its interplay with quantum physics may lead to unprecedented perspectives for …
Solving nonlinear differential equations with differentiable quantum circuits
O Kyriienko, AE Paine, VE Elfving - Physical Review A, 2021 - APS
We propose a quantum algorithm to solve systems of nonlinear differential equations. Using
a quantum feature map encoding, we define functions as expectation values of parametrized …
a quantum feature map encoding, we define functions as expectation values of parametrized …
Quantum machine learning applications in the biomedical domain: A systematic review
Quantum technologies have become powerful tools for a wide range of application
disciplines, which tend to range from chemistry to agriculture, natural language processing …
disciplines, which tend to range from chemistry to agriculture, natural language processing …
Quantum machine learning revolution in healthcare: a systematic review of emerging perspectives and applications
U Ullah, B Garcia-Zapirain - IEEE Access, 2024 - ieeexplore.ieee.org
Quantum computing (QC) stands apart from traditional computing systems by employing
revolutionary techniques for processing information. It leverages the power of quantum bits …
revolutionary techniques for processing information. It leverages the power of quantum bits …
Mixed quantum–classical method for fraud detection with quantum feature selection
This article presents a first end-to-end application of a quantum support vector machine
(QSVM) algorithm for a classification problem in the financial payment industry using the IBM …
(QSVM) algorithm for a classification problem in the financial payment industry using the IBM …
Quantum machine learning for finance ICCAD special session paper
Quantum computers are expected to surpass the computational capabilities of classical
computers during this decade, and achieve disruptive impact on numerous industry sectors …
computers during this decade, and achieve disruptive impact on numerous industry sectors …
Quantum machine learning on near-term quantum devices: Current state of supervised and unsupervised techniques for real-world applications
The past decade has witnessed significant advancements in quantum hardware,
encompassing improvements in speed, qubit quantity, and quantum volume—a metric …
encompassing improvements in speed, qubit quantity, and quantum volume—a metric …
A hybrid quantum-classical neural network architecture for binary classification
D Arthur - arXiv preprint arXiv:2201.01820, 2022 - arxiv.org
Deep learning is one of the most successful and far-reaching strategies used in machine
learning today. However, the scale and utility of neural networks is still greatly limited by the …
learning today. However, the scale and utility of neural networks is still greatly limited by the …
Quantum neural network classifiers: A tutorial
Abstract Machine learning has achieved dramatic success over the past decade, with
applications ranging from face recognition to natural language processing. Meanwhile, rapid …
applications ranging from face recognition to natural language processing. Meanwhile, rapid …