BLS-QLSTM: a novel hybrid quantum neural network for stock index forecasting
Abstract With the rapid development of investment markets and the diversification of investment products, accurate prediction of stock price trends is particularly important for investors and researchers. The complexity of the stock market and the nonlinear characteristics of the data make it diffic...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2025-07-01
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| Series: | Humanities & Social Sciences Communications |
| Online Access: | https://doi.org/10.1057/s41599-025-05348-z |
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