Time series generation for option pricing on quantum computers using tensor network
By Nozomu Kobayashi, Yoshiyuki Suimon, Koichi Miyamoto
Rating
1385
Battle Count: 43
Relevance
8/10
Highly relevant for potential quantum acceleration of option pricing and risk management in quantitative trading
Implementation Complexity
7/10
Requires understanding of quantum computing and tensor networks, but builds on established financial models
Reproducibility
4/5
The paper provides detailed methodology and experimental setup, but lacks code repository
About this paper
Methodology: Matrix Product State (MPS). Problem types: Time Series Forecasting, Generative Modeling, Option Pricing.
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