For example, they could have done a wavelet transformation before using the random forests, gradient boosting, etc.
A few years ago, QC folks took the classical idea of kernel support vector machines and making the kernel quantum. Some notion as this paper, different details on the statistics. A graph neural net (GNN) would make more sense for bond trading networks. Entanglement is unmotivated here. From: Friam <[email protected]> On Behalf Of Jon Zingale Sent: Thursday, September 25, 2025 5:33 PM To: The Friday Morning Applied Complexity Coffee Group <[email protected]> Subject: Re: [FRIAM] HSBC and IBM do QC for bonds cool. Just finished the paper and I suspect you are right. It seems like *fun* to play with these 109 qubits, but I am not particularly sure there is anything here that is interesting. Do you suppose that there would be anything to switching away from gates toward something more like annealing? That the first two references are Bachelier and Einstein should have been a tell ;)
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