Quantum for Finance - An Interview with Carmen Recio.
09/15/23 • 49 min
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
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
Previous Episode
Quantum Undergrad. An interview with Maria Gragera Garcés.
This week we talk with Maria, a physics undergraduate student with a deep interest and background in quantum technologies, particularly quantum error correction, error mitigation, and quantum networking. Maria aims to contribute to the quantum software landscape over the next few decades.
Maria was an intern at Cisco, helping develop quantum protocol simulations that could shape the future of the internet. Maria's current internship is in IBM's Quantum division, where she works in the UK community team working on enablement and education.
Maria also contributed to various open-source quantum computing projects and participated in multiple quantum software hackathons. Maria has developed an error correction library for Julia's Quantum Clifford simulator, and has been involved in quantum networks research in the Mathematics department at the University of Bath.
Next Episode
Quantum computing with neutral atoms. An interview with Yuval Boger.
Yuval Boger joins us for a fascinating chat about QuEra quantum computers and how quantum computing fits into the wider high-performance computing ecosystem.
Here are some useful links from Yuval to support the conversation:
- Error correction article: https://thequantuminsider.com/2023/09/08/guest-post-quantum-error-correction-the-key-to-realizing-quantum-computings-potential/
- Qubit shuttling: https://quantumcomputingreport.com/qubit-shuttling-and-its-implication-for-neutral-atom-computers/
- How neutral atom computers work: https://www.quera.com/neutral-atom-platform
- Store optimization example: see the first application note on this page: https://www.quera.com/publications
- Quantum and the HPC center: See the first white paper on that page https://www.quera.com/publications
The Quantum Divide - Quantum for Finance - An Interview with Carmen Recio.
Transcript
Hello and welcome to the quantum divide. This is the podcast that talks about the literal divide between classical IT and quantum technology, and the fact that these two domains need to become closer together. Quantum networking actually is more futuristic than perhaps the computing element of it. But we're going to try and focus on that domain. But we're bound to experience many different tangents both in podcast topics and conversation as we go on. E
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