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The idea of this project is build an "explainer" of technical concepts in finance and identify areas where quantum computing can benefit. As an example, see this explainer on quantum machine learning. First, we will need to explore the bottlenecks in financial modelling and familiarize ourselves with existing quantum finance literature. Thereafter, if there is a niche in which we can exploit - perhaps a novel application, we can work on implementing this using Qiskit and financial data. This project could easily turn into a research paper, but could also consist of a series of blog posts or a Qiskit textbook chapter. Either way, I think it will be super useful to the quantum and finance communities.
Mentor/s
Amira Abbas (@amyami187), Quantum Research Advocate at IBM Research Zurich/South Africa
Type of participant
The ideal participant here would be someone interested in quantum computing/quantum machine learning and is familiar with financial modelling. Understanding the dynamics of different asset classes and some financial equations (like Black-Scholes) would be really beneficial. Also, this participant will need to be able to deploy high level algorithms using Aqua and be familiar with the module.
Number of participants
1
Deliverable
Technical note, research blog post, Qiskit textbook chapter or a short research paper in a finance or quantum journal.
The text was updated successfully, but these errors were encountered:
Description
The idea of this project is build an "explainer" of technical concepts in finance and identify areas where quantum computing can benefit. As an example, see this explainer on quantum machine learning. First, we will need to explore the bottlenecks in financial modelling and familiarize ourselves with existing quantum finance literature. Thereafter, if there is a niche in which we can exploit - perhaps a novel application, we can work on implementing this using Qiskit and financial data. This project could easily turn into a research paper, but could also consist of a series of blog posts or a Qiskit textbook chapter. Either way, I think it will be super useful to the quantum and finance communities.
Mentor/s
Amira Abbas (@amyami187), Quantum Research Advocate at IBM Research Zurich/South Africa
Type of participant
The ideal participant here would be someone interested in quantum computing/quantum machine learning and is familiar with financial modelling. Understanding the dynamics of different asset classes and some financial equations (like Black-Scholes) would be really beneficial. Also, this participant will need to be able to deploy high level algorithms using Aqua and be familiar with the module.
Number of participants
1
Deliverable
Technical note, research blog post, Qiskit textbook chapter or a short research paper in a finance or quantum journal.
The text was updated successfully, but these errors were encountered: