Quantum Machine Learning for Finance ICCAD Special Session Paper. - Marco Pistoia; Syed Farhan Ahmad; Akshay Ajagekar; Alexander Buts; Shouvanik Chakrabarti; Dylan Herman; Shaohan Hu; Andrew Jena; Pierre Minssen; Pradeep Niroula; Arthur G. Rattew; Yue Sun; et al. (ICCAD, 2021)

Quantum Machine Learning for Finance. - Marco Pistoia; Syed Farhan Ahmad; Akshay Ajagekar; Alexander Buts; Shouvanik Chakrabarti; Dylan Herman; Shaohan Hu; Andrew Jena; Pierre Minssen; Pradeep Niroula; Arthur G. Rattew; Yue Sun; et al. (CoRR, 2021)

The Efficient Preparation of Normal Distributions in Quantum Registers. - Arthur G. Rattew; Yue Sun; Pierre Minssen; Marco Pistoia (Quantum, 2021)

Constrained Quantum Optimization for Extractive Summarization on a Trapped-ion Quantum Computer. - Pradeep Niroula; Ruslan Shaydulin; Romina Yalovetzky; Pierre Minssen; Dylan Herman; Shaohan Hu; Marco Pistoia (CoRR, 2022)

Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem. - Ruslan Shaydulin; Changhao Li; Shouvanik Chakrabarti; Matthew DeCross; Dylan Herman; Niraj Kumar 005; Jeffrey Larson 001; Danylo Lykov; Pierre Minssen; Yue Sun; Yuri Alexeev; Joan M. Dreiling; et al. (CoRR, 2023)

Des-q: a quantum algorithm to construct and efficiently retrain decision trees for regression and binary classification. - Niraj Kumar 005; Romina Yalovetzky; Changhao Li; Pierre Minssen; Marco Pistoia (CoRR, 2023)

Code from "Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem". - Ruslan Shaydulin; Changhao Li; Shouvanik Chakrabarti; Matthew DeCross; Dylan Herman; Niraj Kumar 005; Jeffrey Larson 001; Danylo Lykov; Pierre Minssen; Yue Sun; Yuri Alexeev; Joan M. Dreiling; et al. (Zenodo, 2023)

Quantum Deep Hedging. - El Amine Cherrat; Snehal Raj; Iordanis Kerenidis; Abhishek Shekhar; Ben Wood; Jon Dee; Shouvanik Chakrabarti; Chun-Fu Richard Chen; Dylan Herman; Shaohan Hu; Pierre Minssen; Ruslan Shaydulin; et al. (Quantum, 2023)

Invited: Challenges and Opportunities of Quantum Optimization in Finance. - Zichang He; Shouvanik Chakrabarti; Dylan Herman; Niraj Kumar 005; Changhao Li; Pierre Minssen; Pradeep Niroula; Ruslan Shaydulin; Yue Sun; Shree Hari Sureshbabu; Romina Yalovetzky; Marco Pistoia (DAC, 2024)

Q-CHOP: Quantum constrained Hamiltonian optimization. - Michael A. Perlin; Ruslan Shaydulin; Benjamin P. Hall; Pierre Minssen; Changhao Li; Kabir Dubey; Richard Rines; Eric R. Anschütz; Marco Pistoia; Pranav Gokhale (CoRR, 2024)

Des-q: a quantum algorithm to provably speedup retraining of decision trees. - Niraj Kumar 005; Romina Yalovetzky; Changhao Li; Pierre Minssen; Marco Pistoia (Quantum, 2025)