Advancing Algorithm to Scale and Accurately Solve Quantum Poisson Equation on Near-term Quantum Hardware
Kamal K. Saha, Walter Robson, Connor Howington, In-Saeng Suh, Zhimin, Wang, and Jaroslaw Nabrzyski

TL;DR
This paper introduces an advanced quantum algorithm for solving the Poisson equation with high accuracy and scalability on near-term quantum hardware, addressing previous limitations in size and precision.
Contribution
The work develops a novel quantum algorithm that enhances accuracy and scalability for the Poisson solver using eigenvalue amplification and improved controlled rotations.
Findings
Reduced relative error in solutions
Higher success probability with increased amplification
Demonstrated feasibility on NISQ hardware
Abstract
The Poisson equation has many applications across the broad areas of science and engineering. Most quantum algorithms for the Poisson solver presented so far either suffer from lack of accuracy and/or are limited to very small sizes of the problem, and thus have no practical usage. Here we present an advanced quantum algorithm for solving the Poisson equation with high accuracy and dynamically tunable problem size. After converting the Poisson equation to a linear system through the finite difference method, we adopt the HHL algorithm as the basic framework. Particularly, in this work we present an advanced circuit that ensures the accuracy of the solution by implementing non-truncated eigenvalues through eigenvalue amplification, as well as by increasing the accuracy of the controlled rotation angular coefficients, which are the critical factors in the HHL algorithm. Consequently, we…
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Taxonomy
TopicsNeural Networks and Reservoir Computing · Quantum Information and Cryptography · Optical Network Technologies
