3 citations · 4 across the 4 of their papers we have counts for
4 papers
A Quantum Approach to Stochastic Optimization in Insurance Underwriting
Mitchell Bordelon, Maurice Garfinkel, Vivek Dixit +7
The presence of stochastic elements in combinatorial optimization problems makes them particularly challenging, as such problems quickly become intractable for classical computers…
Enhanced fill probability estimates in institutional algorithmic bond trading using statistical learning algorithms with quantum computers
Axel Ciceri, Austin Cottrell, Joshua Freeland +13
The estimation of fill probabilities for trade orders represents a key ingredient in the optimization of algorithmic trading strategies. It is bound by the complex dynamics of fina…
Quantum Multiple Kernel Learning in Financial Classification Tasks
Shungo Miyabe, Brian Quanz, Noriaki Shimada +11
Financial services is a prospect industry where unlocked near-term quantum utility could yield profitable potential, and, in particular, quantum machine learning algorithms could p…
Boosting Method for Automated Feature Space Discovery in Supervised Quantum Machine Learning Models
Vladimir Rastunkov, Jae-Eun Park, Abhijit Mitra +5
Quantum Support Vector Machines (QSVM) have become an important tool in research and applications of quantum kernel methods. In this work we propose a boosting approach for buildin…