Scalable, self-verifying variational quantum eigensolver using adiabatic warm starts
- URL: http://arxiv.org/abs/2602.17612v1
- Date: Thu, 19 Feb 2026 18:38:20 GMT
- Title: Scalable, self-verifying variational quantum eigensolver using adiabatic warm starts
- Authors: Bojan Žunkovič, Marco Ballarin, Lewis Wright, Michael Lubasch,
- Abstract summary: We study an adiabatic variant of the variational quantum eigensolver (VQE) in which VQE is performed iteratively for a sequence of Hamiltonians along an adiabatic path.<n>We derive the conditions under which gradient-based optimization successfully prepares the adiabatic ground states.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We study an adiabatic variant of the variational quantum eigensolver (VQE) in which VQE is performed iteratively for a sequence of Hamiltonians along an adiabatic path. We derive the conditions under which gradient-based optimization successfully prepares the adiabatic ground states. These conditions show that the barren plateau problem and local optima can be avoided. Additionally, we propose using energy-standard-deviation measurements at runtime to certify eigenstate accuracy and verify convergence to the global optimum.
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