Quantum Computing for Finance

CQT Online Talks - Series: Quantum computation and simulation
Speaker: Román Orús, Institute of Physics, Johannes Gutenberg University
Abstract: In this talk I'll review the basic quantum algorithms that can be used for financial applications, focusing on quantum optimization, quantum machine learning, and quantum amplitude estimation. Afterwards I'll show some use cases, such as the prediction of financial crashes, and dynamic portfolio optimization with real datasets.

[@shashvatshukla]

Great talk and great discussion at the end! Thank you CQT!

[@pedrosanchezpalma4443]

Una presentación fantástica. Me ha gustado mucho.

[@jacekwojcieszynski8368]

What was the optimization problem (with 1000 variables) that was not solvable by Geco library? How was it formulated, like MIP? Have you tried Google OR-Tools?

[@selfhealingremedies2290]

How does one get involved or buy into it?

[@generativeresearch]

Hi, is it possible to download the slides and white paper?

[@quantumlah]

Hello, we don't have these materials, but you may like to ask the speaker or find useful links via his website: www.romanorus.com/?page_id=360

[@forheuristiclifeksh7836]

11:00

[@selfhealingremedies2290]

How does one get involved?

[@Romkavers]

XRP!?

[@deeplearningpartnership]

Lol