Results 31 to 40 of about 96,436 (259)
Towards Quantum Advantage in Financial Market Risk using Quantum Gradient Algorithms [PDF]
Quantum, 2022 We introduce a quantum algorithm to compute the market risk of financial derivatives. Previous work has shown that quantum amplitude estimation can accelerate derivative pricing quadratically in the target error and we extend this to a quadratic error ...
Nikitas Stamatopoulos +3 more
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Evaluating Quantum Amplitude Estimation for Pricing Multi-Asset Basket Options [PDF]
2025 IEEE International Conference on Quantum Artificial Intelligence (QAI)Accurate and efficient pricing of multi-asset basket options poses a significant challenge, especially when dealing with complex realworld data. In this work, we investigate the role of quantum-enhanced uncertainty modeling in financial pricing options ...
Muhammad Kashif +4 more
semanticscholar +1 more source
Non-Boolean quantum amplitude amplification and quantum mean estimation
Quantum Information Processing, 2023 This paper generalizes the quantum amplitude amplification and amplitude estimation algorithms to work with non-boolean oracles. The action of a non-boolean oracle $U_φ$ on an eigenstate $|x\rangle$ is to apply a state-dependent phase-shift $φ(x)$. Unlike boolean oracles, the eigenvalues $\exp(iφ(x))$ of a non-boolean oracle are not restricted to be ...
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Quantum algorithm for credit valuation adjustments
New Journal of Physics, 2022 Quantum mechanics is well known to accelerate statistical sampling processes over classical techniques. In quantitative finance, statistical samplings arise broadly in many use cases.
Javier Alcazar +6 more
doaj +1 more source
A Hybrid Quantum Image-Matching Algorithm
Entropy, 2022 Image matching is an important research topic in computer vision and image processing. However, existing quantum algorithms mainly focus on accurate matching between template pixels, and are not robust to changes in image location and scale. In addition,
Guoqiang Shu +4 more
doaj +1 more source
Optimal frequency measurements with quantum probes
npj Quantum Information, 2021 Precise frequency measurements are important in applications ranging from navigation and imaging to computation and communication. Here we outline the optimal quantum strategies for frequency discrimination and estimation in the context of quantum ...
Simon Schmitt +9 more
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Average-Case Verification of the Quantum Fourier Transform Enables Worst-Case Phase Estimation [PDF]
Quantum, 2022 The quantum Fourier transform (QFT) is a key primitive for quantum computing that is typically used as a subroutine within a larger computation, for instance for phase estimation.
Noah Linden, Ronald de Wolf
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Random-depth Quantum Amplitude Estimation
, 2023 The maximum likelihood amplitude estimation algorithm (MLAE) is a practical solution to the quantum amplitude estimation problem with Heisenberg limit error convergence. We improve MLAE by using random depths to avoid the so-called critical points, and do numerical experiments to show that our algorithm is approximately unbiased compared to the ...
Lu, Xi, Lin, Hongwei
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Remote State Design for Efficient Quantum Metrology with Separable and Non-Teleporting States
Quantum Reports, 2021 Measurements leading to the collapse of states and the non-local quantum correlations are the key to all applications of quantum mechanics as well as in the studies of quantum foundation.
Rahul Raj +2 more
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Quantum Algorithms for Anomaly Detection Using Amplitude Estimation
SSRN Electronic Journal, 2022 Anomaly detection plays a critical role in fraud detection, health care, intrusion detection, military surveillance, etc. Anomaly detection algorithm based on density estimation (called ADDE algorithm) is one of widely used algorithms. Liang et al. proposed a quantum version of the ADDE algorithm [Phys. Rev. A 99, 052310 (2019)] and it is believed that
Guo, Mingchao +6 more
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