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IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)

Adiabatic Quantum Computing and Global Solution of NP-Hard QUBO Problems: A General Approach

Sanjay Sharma, Ravi Kumar

Published Mar 12, 2026• 0 citations
Publisher

Abstract

QUBO problems are NP-hard and have wide applications in optimization, including finance, logistics, machine learning, and combinatorial problems. However, classical algorithms employed for solving them can often get stuck in local minima. This paper presents an Adiabatic Quantum Computing (AQC) approach towards finding an optimal solution for QUBO problems. The QUBO problem has been first encoded into Hamiltonians. The adiabatic theorem has been used to achieve success of an AQC solution with a rate which is found to be dependent on relative gap between the ground state and first exited state of the Hamiltonian.

DOI
10.1109/iatmsi68868.2026.11465690

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