A Hybrid Quantum-Classical Framework for Financial Volatility Forecasting Based on Quantum Circuit Born Machines | ScienceToStartup | ScienceToStartup

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References (41)

[1]

Quantum vs. Classical Machine Learning: A Benchmark Study for Financial Prediction

2026Rehan Ahmad, Muhammad Kashif et al.

[2]

Quantum Temporal Convolutional Neural Networks for Cross-Sectional Equity Return Prediction: A Comparative Benchmark Study

2025Chi-Sheng Chen, Xinyu Zhang et al.

[3]

Hybrid Quantum-Classical Ensemble Learning for S\&P 500 Directional Prediction

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"A hybrid quantum-classical framework for forecasting financial market volatility using LSTM and Quantum Circuit Born Machines."

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A Hybrid Quantum-Classical Framework for Financial Volatility Forecasting Based on Quantum Circuit Born Machines

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References (41)

Founder's Pitch

"A hybrid quantum-classical framework for forecasting financial market volatility using LSTM and Quantum Circuit Born Machines."

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A Hybrid Quantum-Classical Framework for Financial Volatility Forecasting Based on Quantum Circuit Born Machines

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References (41)

Founder's Pitch

"A hybrid quantum-classical framework for forecasting financial market volatility using LSTM and Quantum Circuit Born Machines."

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