Quantum energy landscape and circuit optimization

Joonho Kim, Yaron Oz

Research output: Contribution to journalArticlepeer-review


We study the effects of entanglement and control parameters on the symmetry of the energy landscape and optimization performance of the variational quantum circuit. Through a systematic analysis of the Hessian spectrum, we characterize the local geometry of the energy landscape at a random point and along an optimization trajectory. We argue that decreasing the entangling capability and increasing the number of circuit parameters have the same qualitative effect on the Hessian eigenspectrum. Both the low-entangling capability and the abundance of control parameters increase the curvature of nonflat directions, contributing to the efficient search of area-law entangled ground states as to the optimization accuracy and the convergence speed.

Original languageEnglish
Article number052424
JournalPhysical Review A
Issue number5
StatePublished - Nov 2022


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