This week we are joined by Carmen Recio Valcarce, Quantum Computing Engineer at Moody's Analytics. We cover using quantum computing to solve and accelerate algorithms for the finance industry, Moody's new quantum benchmarking platform, and deep dive into some specific financial problem use cases.
Carmen is a mathematician working on evaluating how quantum computing can disrupt the financial sector at Moody's Analytics. Thinking how to solve problems with the best algorithms and technology. Previously, development, education and research in Quantum Computing & Artificial Intelligence @ IBM
Carmen's group in Moody's objective is to evaluate how quantum computing can disrupt our industry and Moody’s products in the market, evaluate the industry maturity, establish partnerships, and position Moody’s as a referent in the quantum computing sector for finance. The team creates proofs of concept and final applications that are embedded in the current classical products. Leverages our state-of-the-art financial models and our extensive datasets across the company and liaises with the different stakeholders for its productization.
Moody’s Analytics Quantum Computing group is a recently created team that explores, researches, and implements quantum computing and communications solutions across the different organizational units of the company.
Links from Carmen:
Stephen Herbert: video of Steven Herbert explaining his paper
Moody's links
- Landing page http://moodys.com/quantum
- Quantum Computing in Financial Services: A Business Leader’s Guide
Use-case reports
- Strategic asset allocation/optimization – Our results are not published yet but this paper covers the topic of a TN approach https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.4.013006
- Recession prediction
- Monte Carlo - podcast and this paper
- 3 resources about use cases in finance:
https://arxiv.org/abs/2201.02773
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