https://doi.org/10.1140/epjqt/s40507-025-00328-3
Research
Alternative pipeline for option pricing using quantum computers
1
Department of Mathematics and CITIC, University of A Coruña, Campus Elviña s/n, 15071, A Coruña, A Coruña, Spain
2
Applications and Projects Department, Galicia Supercomputing Center (CESGA), Avenida de Vigo, 15705, Santiago de Compostela, A Coruña, Spain
a
alberto.manzano.herrero@gmail.com
Received:
17
July
2024
Accepted:
10
February
2025
Published online:
25
February
2025
In this work we present an alternative methodology to the standard Quantum Accelerated Monte Carlo (QAMC) applied to derivatives pricing. Our pipeline benefits from the combination of a new encoding protocol, referred to as the direct encoding, and an amplitude estimation algorithm, the modified Real Quantum Amplitude Estimation (mRQAE) algorithm. On the one hand, the direct encoding prepares a quantum state which contains the information about the sign of the expected payoff. On the other hand, the mRQAE is able to read all the information contained in the quantum state. Although the procedure we describe is different from the standard one, the main building blocks are almost the same. Thus, all the extensive research that has been performed is still applicable. Moreover, we experimentally compare the performance of the proposed methodology against the standard QAMC employing a quantum emulator and show that we retain the speedups.
Key words: Option pricing / Quantum Accelerated Monte Carlo / Amplitud Estimation
© The Author(s) 2025
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