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 …

Recent advances for quantum neural networks in generative learning

J Tian, X Sun, Y Du, S Zhao, Q Liu… - … on Pattern Analysis …, 2023 - ieeexplore.ieee.org
Quantum computers are next-generation devices that hold promise to perform calculations
beyond the reach of classical computers. A leading method towards achieving this goal is …

[HTML][HTML] Constrained quantum optimization for extractive summarization on a trapped-ion quantum computer

P Niroula, R Shaydulin, R Yalovetzky, P Minssen… - Scientific Reports, 2022 - nature.com
Realizing the potential of near-term quantum computers to solve industry-relevant
constrained-optimization problems is a promising path to quantum advantage. In this work …

[HTML][HTML] Barren plateaus in quantum tensor network optimization

EC Martín, K Plekhanov, M Lubasch - Quantum, 2023 - quantum-journal.org
We analyze the barren plateau phenomenon in the variational optimization of quantum
circuits inspired by matrix product states (qMPS), tree tensor networks (qTTN), and the …

The state of quantum computing applications in health and medicine

FF Flöther - Research Directions: Quantum Technologies, 2023 - cambridge.org
Medicine, including fields in healthcare and life sciences, has seen a flurry of quantum-
related activities and experiments in the last few years (although biology and quantum …

[HTML][HTML] IBM quantum platforms: A quantum battery perspective

G Gemme, M Grossi, D Ferraro, S Vallecorsa… - Batteries, 2022 - mdpi.com
We characterize for the first time the performances of IBM quantum chips as quantum
batteries, specifically addressing the single-qubit Armonk processor. By exploiting the Pulse …

Quantum computing for smart grid applications

MH Ullah, R Eskandarpour, H Zheng… - IET Generation …, 2022 - Wiley Online Library
Computational complexities in modern power systems are reportedly increasing daily, and it
is anticipated that traditional computers might be inadequate to provide the computation …

Quantum machine learning on near-term quantum devices: Current state of supervised and unsupervised techniques for real-world applications

Y Gujju, A Matsuo, R Raymond - Physical Review Applied, 2024 - APS
The past decade has witnessed significant advancements in quantum hardware,
encompassing improvements in speed, qubit quantity, and quantum volume—a metric …

Quantum state preparation using tensor networks

AA Melnikov, AA Termanova, SV Dolgov… - Quantum Science …, 2023 - iopscience.iop.org
Quantum state preparation is a vital routine in many quantum algorithms, including solution
of linear systems of equations, Monte Carlo simulations, quantum sampling, and machine …

[HTML][HTML] Anomaly detection speed-up by quantum restricted Boltzmann machines

L Moro, E Prati - Communications Physics, 2023 - nature.com
Quantum machine learning promises to revolutionize traditional machine learning by
efficiently addressing hard tasks for classical computation. While claims of quantum speed …