Exponential qubit reduction in optimization for financial transaction settlement

Exponential qubit reduction in optimization for financial transaction settlement

We extend the qubit-efficient encoding presented in (Tan et al. in Quantum 5:454, 2021) and apply it to instances of the financial transaction settlement problem constructed from data provided by a regulated financial exchange. Our methods are directly applicable to any QUBO problem with linear ineq...

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Bibliographic Details
Main Authors: HUBER, Elias X., TAN, Benjamin Y. L., GRIFFIN, Paul Robert, ANGELAKIS, Dimitris G.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
Mixed binary optimization
NISQ
Quantum Computing
Quantum Finance
Quantum Optimization
Qubit reduction
QUBO
Finance and Financial Management
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/9274
https://ink.library.smu.edu.sg/context/sis_research/article/10274/viewcontent/s40507_024_00262_w_pvoa.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/9274
https://ink.library.smu.edu.sg/context/sis_research/article/10274/viewcontent/s40507_024_00262_w_pvoa.pdf

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