Enhanced fill probability estimates in institutional algorithmic bond trading using statistical learning algorithms with quantum computers

By Axel Ciceri, Austin Cottrell, Joshua Freeland, Daniel Frye, Hirotoshi Hirai, Philip Intallura, Hwajung Kang, Chee-Kong Lee, Abhijit Mitra, Kentaro Ohno, Das Pemmaraju, Manuel Proissl, Brian Quanz, Del Rajan, Noriaki Shimada, Kavitha Yogra

Published 2025-09-22

Everscope rating

1241

Relevance to quantitative trading

9 / 10

Implementation complexity

8 / 10

Reproducibility

3 / 5

About this paper

Methodology: Projected Quantum Feature Map (PQFM) with Heisenberg Ansatz. Problem types: Classification, Algorithmic Execution, Market Making, Risk Management.

arXiv:2509.17715 · Paper rankings

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