Quantum Mini-Apps for Engineering Applications: A Case Study
Horia M\u{a}rg\u{a}rit, Amanda Bowman, Krishnageetha Karuppasamy,, Alberto Maldonado-Romo, Vardaan Sahgal, Brian J. McDermott

TL;DR
This paper presents a case study on implementing a variational quantum algorithm for solving the Poisson equation, discussing practical hardware mapping challenges and software considerations for current quantum systems.
Contribution
It provides insights into real-world implementation challenges of quantum algorithms on non-fault-tolerant hardware for engineering problems.
Findings
Identified hardware mapping challenges for quantum algorithms
Discussed software engineering considerations for practical quantum computing
Demonstrated feasibility of variational quantum algorithms on current hardware
Abstract
In this work, we present a case study in implementing a variational quantum algorithm for solving the Poisson equation, which is a commonly encountered partial differential equation in science and engineering. We highlight the practical challenges encountered in mapping the algorithm to physical hardware, and the software engineering considerations needed to achieve realistic results on today's non-fault-tolerant systems.
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Taxonomy
TopicsIoT and Edge/Fog Computing · Big Data and Business Intelligence · Cloud Computing and Resource Management
