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 …

[PDF][PDF] The Identification of quantum effects in electronic devices based on charge transfer magnetic field model

B Gopi, J Logeshwaran, J Gowri… - …, 2022 - researchgate.net
The trend of today's electronic developments is the reduction of essential devices and the
expansion of their functionality. This creates a demand for new nano-elements that can …

From portfolio optimization to quantum blockchain and security: A systematic review of quantum computing in finance

A Naik, E Yeniaras, G Hellstern, G Prasad… - arxiv preprint arxiv …, 2023 - arxiv.org
In this paper, we provide an overview of the recent work in the quantum finance realm from
various perspectives. The applications in consideration are Portfolio Optimization, Fraud …

[PDF][PDF] Early fault-tolerant quantum computing

A Katabarwa, K Gratsea, A Caesura, PD Johnson - PRX Quantum, 2024 - APS
In recent years, research in quantum computing has largely focused on two approaches:
near-term intermediate-scale quantum (NISQ) computing and future fault-tolerant quantum …

Faster ground state energy estimation on early fault-tolerant quantum computers via rejection sampling

G Wang, DS França, G Rendon… - arxiv preprint arxiv …, 2023 - arxiv.org
A major thrust in quantum algorithm development over the past decade has been the search
for the quantum algorithms that will deliver practical quantum advantage first. Today's …

Quantum computing for financial risk measurement

S Wilkens, J Moorhouse - Quantum Information Processing, 2023 - Springer
Quantum computing allows a significant speed-up over traditional CPU-and GPU-based
algorithms when applied to particular mathematical challenges such as optimisation and …

Assessing the benefits and risks of quantum computers

TL Scholten, CJ Williams, D Moody, M Mosca… - arxiv preprint arxiv …, 2024 - arxiv.org
Quantum computing is an emerging technology with potentially far-reaching implications for
national prosperity and security. Understanding the timeframes over which economic …

Reducing the cost of energy estimation in the variational quantum eigensolver algorithm with robust amplitude estimation

PD Johnson, AA Kunitsa, JF Gonthier… - arxiv preprint arxiv …, 2022 - arxiv.org
Quantum chemistry and materials is one of the most promising applications of quantum
computing. Yet much work is still to be done in matching industry-relevant problems in these …

A survey of quantum alternatives to randomized algorithms: Monte carlo integration and beyond

P Intallura, G Korpas, S Chakraborty… - arxiv preprint arxiv …, 2023 - arxiv.org
Monte Carlo sampling is a powerful toolbox of algorithmic techniques widely used for a
number of applications wherein some noisy quantity, or summary statistic thereof, is sought …

Option pricing under stochastic volatility on a quantum computer

G Wang, A Kan - Quantum, 2024 - quantum-journal.org
We develop quantum algorithms for pricing Asian and barrier options under the Heston
model, a popular stochastic volatility model, and estimate their costs, in terms of T-count, T …