Solving the Max-Flow Problem on a Quantum Annealing Computer
This article addresses the question of implementing a maximum flow algorithm on directed graphs in a formulation suitable for a quantum annealing computer. Three distinct approaches are presented. In all three cases, the flow problem is formulated as a quadratic unconstrained binary optimization (QU...
Main Authors: | Thomas Krauss, Joey McCollum, Chapman Pendery, Sierra Litwin, Alan J. Michaels |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Transactions on Quantum Engineering |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9224181/ |
Similar Items
-
A quantum annealing approach to solve max-cover problem
by: NGUYEN Thi Uyen, et al.
Published: (2022-12-01) -
Quantum annealing with twisted fields
by: Takashi Imoto, et al.
Published: (2022-01-01) -
How to Solve Combinatorial Optimization Problems Using Real Quantum Machines: A Recent Survey
by: Sovanmonynuth Heng, et al.
Published: (2022-01-01) -
Applying the Hubbard-Stratonovich Transformation to Solve Scheduling Problems Under Inequality Constraints With Quantum Annealing
by: Sizhuo Yu, et al.
Published: (2021-09-01) -
When quantum annealing meets multitasking: Potentials, challenges and opportunities
by: Tian Huang, et al.
Published: (2023-03-01)