Title: Implementing Financial Algorithms on IonQ devices
This presentation will highlight IonQ's latest progress in leveraging novel quantum computing algorithms for financial industry challenges, such as the standard problem of discrete portfolio optimization. Furthermore, we will explore the integration of quantum finance within broader AI workflows. This includes using methods such as Topological Data Analysis for feature engineering, Quantum Copula for scenario generation, and Quantum LLM for LLM fine-tuning. The presentation will outline the potential benefits of quantum finance, focusing on various areas of improvement such as speed, accuracy, and efficiency—going beyond the standard speedups typically sought after by the industry.
Bio:
Augusto Carvalho is a Quantum Solution Engineer at IonQ, where he focuses on the practical application of quantum computing within the financial industry. He works closely with the IonQ quantum finance team, led by Marco Pistoia (former Quantum Lead at JPMC), and CEO of IonQ Italy.
Augusto has over 20 years of experience in quantitative finance and derivatives modeling, his career spans international banking, risk analytics, and academia.
Augusto bridges the gap between emerging technology and complex financial systems. His background includes hands-on experience with data science platforms and machine learning tools applied to credit risk assessment and consumer behavior. At SAS Institute and Numerix, he led technical engagements involving high-dimensional data, neural networks, and risk analytics for major institutions across Latin America and the US.
Throughout his career at UniCredit, BNP Paribas, and B3, Augusto has specialized in derivatives pricing, counterparty credit risk, and XVA transformation projects. He holds a B.Sc. and M.Sc. in Physics with a focus on Statistical Mechanics and Econophysics, and an M.Sc. in Methods for Management of Complex Systems.
