Quantum computing for finance

D Herman, C Googin, X Liu, Y Sun, A Galda… - Nature Reviews …, 2023 - nature.com
Quantum computers are expected to surpass the computational capabilities of classical
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

V Dunjko, HJ Briegel - Reports on Progress in Physics, 2018 - iopscience.iop.org
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 …

Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics

A Gilyén, Y Su, GH Low, N Wiebe - Proceedings of the 51st Annual ACM …, 2019 - dl.acm.org
An n-qubit quantum circuit performs a unitary operation on an exponentially large, 2 n-
dimensional, Hilbert space, which is a major source of quantum speed-ups. We develop a …

Quantum computing for finance: State-of-the-art and future prospects

DJ Egger, C Gambella, J Marecek… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
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 …

Challenges and opportunities in quantum optimization

A Abbas, A Ambainis, B Augustino, A Bärtschi… - Nature Reviews …, 2024 - nature.com
Quantum computers have demonstrable ability to solve problems at a scale beyond brute-
force classical simulation. Interest in quantum algorithms has developed in many areas …

Evidence of scaling advantage for the quantum approximate optimization algorithm on a classically intractable problem

R Shaydulin, C Li, S Chakrabarti, M DeCross… - Science …, 2024 - science.org
The quantum approximate optimization algorithm (QAOA) is a leading candidate algorithm
for solving optimization problems on quantum computers. However, the potential of QAOA to …

A survey of quantum computing for finance

D Herman, C Googin, X Liu, A Galda, I Safro… - arxiv preprint arxiv …, 2022 - arxiv.org
Quantum computers are expected to surpass the computational capabilities of classical
computers during this decade and have transformative impact on numerous industry sectors …

Quantum machine learning: a classical perspective

C Ciliberto, M Herbster, AD Ialongo… - … of the Royal …, 2018 - royalsocietypublishing.org
Recently, increased computational power and data availability, as well as algorithmic
advances, have led machine learning (ML) techniques to impressive results in regression …

Generalized quantum signal processing

D Motlagh, N Wiebe - PRX Quantum, 2024 - APS
Quantum signal processing (QSP) and quantum singular value transformation (QSVT)
currently stand as the most efficient techniques for implementing functions of block-encoded …

On quantum backpropagation, information reuse, and cheating measurement collapse

A Abbas, R King, HY Huang… - Advances in …, 2024 - proceedings.neurips.cc
The success of modern deep learning hinges on the ability to train neural networks at scale.
Through clever reuse of intermediate information, backpropagation facilitates training …