TY - GEN
T1 - Advanced Quantum Poisson Solver in the NISQ era
AU - Robson, Walter
AU - Saha, Kamal K.
AU - Howington, Connor
AU - Suh, In Saeng
AU - Nabrzyski, Jaroslaw
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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 the linear systems through the finite difference method, we adopt the Harrow-Hassidim-Lloyd (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. We show that our algorithm not only increases the accuracy of the solutions, but also composes more practical and scalable circuits by dynamically controlling problem size in the NISQ devices. We present both simulated and experimental results, and discuss the sources of errors. Finally, we conclude that overall results on the quantum hardware are dominated by the error in the CNOT gates.
AB - 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 the linear systems through the finite difference method, we adopt the Harrow-Hassidim-Lloyd (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. We show that our algorithm not only increases the accuracy of the solutions, but also composes more practical and scalable circuits by dynamically controlling problem size in the NISQ devices. We present both simulated and experimental results, and discuss the sources of errors. Finally, we conclude that overall results on the quantum hardware are dominated by the error in the CNOT gates.
KW - HHL Algorithm
KW - Poisson Equation
KW - Quantum Algorithm
KW - Quantum Circuit
UR - http://www.scopus.com/inward/record.url?scp=85142705275&partnerID=8YFLogxK
U2 - 10.1109/QCE53715.2022.00103
DO - 10.1109/QCE53715.2022.00103
M3 - Conference contribution
AN - SCOPUS:85142705275
T3 - Proceedings - 2022 IEEE International Conference on Quantum Computing and Engineering, QCE 2022
SP - 741
EP - 744
BT - Proceedings - 2022 IEEE International Conference on Quantum Computing and Engineering, QCE 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IEEE International Conference on Quantum Computing and Engineering, QCE 2022
Y2 - 18 September 2022 through 23 September 2022
ER -