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Interested in what quantum computing is? Ramis Movassagh explains the basics of quantum, some applications to finance, why it is a hard problem to solve, and ways to learn more about it.

Ramis is an applied mathematician and a theoretical physicist who researches quantum computation and information theory, and quantum cryptography and complexity. He does an amazing job at laying out some of the basic ideas of quantum mechanics.

Ramis' Links:

LinkedIn:
https://www.linkedin.com/in/ramis-movassagh-33465717/

Website and Blog:
https://ramismovassagh.wordpress.com/
https://ramismovassagh.wordpress.com/blog

X handle:
@Ramis_Movassagh

Quantum supremacy paper:
https://www.nature.com/articles/s41567-023-02131-2

PDF for those behind the paywall:
https://www.nature.com/articles/s41567-023-02131-2.epdf?sharing_token=oYgyql7M-nUPNwLJ4F2Q_tRgN0jAjWel9jnR3ZoTv0M5gli-apQIlZ1xThgS5KRp3t28rkad24bSeQ-gRMhmOaNP232U_FZZQjPrseDCTdXIRryTWL339snJllwZAjuD5PMkLKij96GMA_OniVnTz5JjaARH0qW5OV-AKwZr4VI%3D

Press coverage:
https://phys.org/news/2023-09-difficulty-simulating-random-quantum-circuits.html

https://communities.springernature.com/posts/the-quest-for-quantum-primacy

Quantum Merkle Trees:
https://quantum-journal.org/papers/q-2024-06-18-1380/

IBM's "Basics of Quantum Information":
https://quantum.cloud.ibm.com/learning/en/courses/basics-of-quantum-information

John Preskill from CalTech:
https://www.preskill.caltech.edu/

MIT "Quantum Computing":
https://ocw.mit.edu/courses/18-435j-quantum-computation-fall-2003/

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Diving into pure math, quantitative finance, and solving business problems with AI and LLMs. Cheikh Fall is a co-founder of Sabr Research and an MIT grad who is looking to solve many business problems with the advancements in AI. We discuss potential issues with AI, what hedge funds look for in quant researchers, and how to prepare as a student for AI.

Cheik Fall
https://www.linkedin.com/in/fallcheik/

Sabr Research
https://www.linkedin.com/company/sabr-research/


Dimitri Bianco
https://www.linkedin.com/in/dimitri-bianco/

My favorite coffee which supports the creation of these podcasts
https://volcanicacoffee.pxf.io/yq6Qj3

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I had a blast taking to Michael Watson who is the founder and CEO of Hedgineer.

"AI is the future. But not everyone is prepared for it. To effectively integrate AI into a company, it needs an organized, thorough, and secure inventory of data. Without one, every AI implementation remains incomplete because it only has access to a subset of the relevant information it needs.

Most hedge funds are built on disjointed networks of research portals, order management systems, and datasets. The ones that don't consolidate them will run the risk of falling behind the AI curve."

Michael's LinkedIn:
https://www.linkedin.com/in/michaeldavidwatson/

Hedgineer:
https://www.hedgineer.io/
https://www.youtube.com/@hedgineer
https://podcasts.apple.com/us/podcast/the-hedgineer-podcast/id1674929284
https://open.spotify.com/show/0Aq6pxdUONA4aJPntsvqf2
https://www.linkedin.com/company/hedgineer-io/

Video Version:

https://youtu.be/2hyfMMl1pGg

OVVO Labs is a proud sponsor of Talking Tuesday with Fancy Quant!
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Learn about financial AI expert, Igor Halperin's journey from the Soviet Union to physics and finally quantitative finance in the US. A great discussion on why many physists choose to go into quantitative finance, the positive and negative impacts of LLMs, and some perspectives on careers.

Igor Halperin:

https://www.linkedin.com/in/igor-halperin-092175a/

YouTube Version:

https://youtu.be/J7O6Scnc5NA

Igor's Textbook:

https://amzn.to/42IGAGh

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Jeff Ryan is an alpha engineer with an unconventional background. He is also the co-founder of QUANTkiosk and loves solving problems. Some great discussion on programming languages, structuring data, the quant community, and why R programming is so useful.

YouTube Version:

https://youtu.be/U0qf-sRzQZk

QUANTkiosk
http://www.quantkiosk.com

Jeff Ryan
https://www.linkedin.com/in/jeffreyaryan/

OVVO Labs is a proud sponsor of Talking Tuesday with Fancy Quant!
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AI has many use cases and is a very broad area. AI has been used in finance since the rise of computers and the internet through automated systems. From trading to originating loans, AI is not new to finance. As LLMs have become the main focus over the last few years, there are a lot of wild predictions and fear of missing out. While LLMs and great at simple tasks and those with low risk, they are not actually thinking and need a lot of engineering around them to make them useful. They are also great at taking unstructured text data and images and turning them into structured data for more traditional methods such as math, logic, programming, statistics, and machine learning. I see there being a big lift in automating common tasks however the core of a business and where it has a competitive edge will continue to be done through non-AI methods. Don't get me wrong, implementing AI as a cost saving approach to common tasks can be an edge but it shouldn't be the main focus of your business.

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Roman Bansal is the founder of NanoConda. We discuss growing up in Russia, the joy of reading books, and how NanoConda can help you set up software, API, hardware, and colocation for HFT (high frequency trading) for smaller firms. We also discuss why Dallas, Texas is growing in the quant space as many firms are locating here.

NanoConda
https://nanoconda.com/

Roman Bansal
https://www.linkedin.com/in/romanbansal/

OVVO Labs is a proud sponsor of Talking Tuesday with Fancy Quant!
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Tribhuvan Bisen is a co-founder of Quant Insider. We learn about his journey from his education to working at Deutsche and then starting Quant Insider. We also discuss the quant job and education market in India and what it takes to be a quant.

Quant Insider:
https://quantinsider.io/
https://www.linkedin.com/company/quant-insider/

Tribhuvan Bisen:
https://www.linkedin.com/in/tribhuvan-bisen/

OVVO Labs is a proud sponsor of Talking Tuesday with Fancy Quant!
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