English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

We provide an algorithm for preparing the thermofield double (TFD) state ofthe Sachdev-Ye-Kitaev model without the need for an auxiliary bath. Followingprevious work, the TFD can be cast as the approximate ground state of aHamiltonian, $H_{\text{TFD}}$. Using variational quantum circuits, we proposeand implement a gradient-based algorithm for learning parameters that find thisground state, an application of the variational quantum eigensolver.Concretely, we find quantum circuits that prepare the ground state of$H_{\text{TFD}}$ for the $q=4$ SYK model up to $N=12$.

Variational Preparation of the Sachdev-Ye-Kitaev Thermofield Double