QuantumLeap: Hybrid quantum neural network for financial predictions

作者：

Highlights：

• The QuantumLeap system consists of an encoder.

• Transforming a partitioned financial time series into a sequence of density matrices.

• The deep quantum network that predicts the density matrix at a later time.

• The hybrid deep network allowing for parallelisation of the learning process.

• The classical network is a learnable apparatus that infers from output density matrix.

摘要

•The QuantumLeap system consists of an encoder.•Transforming a partitioned financial time series into a sequence of density matrices.•The deep quantum network that predicts the density matrix at a later time.•The hybrid deep network allowing for parallelisation of the learning process.•The classical network is a learnable apparatus that infers from output density matrix.

论文关键词：Deep quantum neural network,Financial prediction,Regression,Parallel learning,Deep neural network,Hybrid quantum neural network

论文评审过程：Received 15 February 2021, Revised 22 November 2021, Accepted 17 January 2022, Available online 31 January 2022, Version of Record 3 February 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116583