Quantum Finance: Exploring Asset Management with QAOA

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dc.contributor.advisorJabeen, Shabnam
dc.contributor.advisorKhan, Alex
dc.contributor.authorHenkle, Evan
dc.contributor.authorIgur, Vismay
dc.contributor.authorKarnik, Sara
dc.contributor.authorVelaga, Sourabh
dc.date.accessioned2024-04-23T14:13:41Z
dc.date.available2024-04-23T14:13:41Z
dc.date.issued2024
dc.description.abstractQuantum computers are becoming more and more applicable to a variety of applications due to their ability to exponentially speed up computation. This project aims to utilize quantum technology to build a Quantum Approximation Optimization Algorithm (QAOA), to redefine portfolio optimization in finance. We aim to conduct a series of simulations to evaluate the effectiveness of our quantum based portfolio strategy, and compare the outcomes against those achieved through traditional optimization methods. Our preliminary research indicates that the quantum approach may result in faster and higher quality portfolio solutions, leading to more profitable and risk averse investments. By translating the challenge of finding the optimal combination of assets - balancing risk and return - into a problem that can be solved by quantum computing, we unlock new possibilities for financial analysis and decision making.
dc.identifierhttps://doi.org/10.13016/0ofd-8rop
dc.identifier.urihttp://hdl.handle.net/1903/32538
dc.language.isoen
dc.relation.isAvailableAtDigital Repository at the University of Maryland
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md)
dc.relation.isAvailableAtOffice of Undergraduate Research
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United Statesen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/
dc.subjectFirst-Year Innovation and Research Experience (FIRE)
dc.subjectphysics
dc.subjectasset management
dc.subjectportfolio optimization
dc.subjectqml
dc.subjectquantum machine learning
dc.subjectquantum computing
dc.titleQuantum Finance: Exploring Asset Management with QAOA
dc.typeOther
local.equitableAccessSubmissionNo

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Undergraduate Research Day 2024