- Open Access
Preparing a thermofield double state with feedback quantum algorithms
Phys. Rev. D 114, 076018 – Published 13 October, 2026
DOI: https://doi.org/10.1103/nwjw-vkty
Abstract
The efficient preparation of correlated thermal states, such as the thermofield double state, is a fundamental prerequisite for simulating quantum gravity models and many-body thermodynamics on quantum processors. In this work, we investigate the ground-state preparation of the two coupled Sachdev-Ye-Kitaev model, known as the Maldacena-Qi model, which is dual to a traversable wormhole in anti–de Sitter space in two dimensions, utilizing feedback-based quantum algorithms. We demonstrate that the standard feedback-based quantum algorithm (FALQON) and its time-rescaled variant (TR-FALQON) face severe kinetic limitations in this system, failing to converge to the highly entangled ground state when initialized in trivial product states. To overcome these barriers, we propose the hybrid ITE-TR-FALQON protocol, which integrates the imaginary-time evolution present in imaginary-time-enhanced FALQON with the time-rescaling mechanism. Our ideal state-vector simulations show that imaginary-time filtering overcomes the stagnation observed for the unitary protocols with the chosen driver and initial state, while time rescaling reduces the number of algorithmic layers. The hybrid protocol achieves fidelities close to unity with the exact-diagonalization ground state and reproduces its von Neumann and Rényi entropies with high precision. These results constitute a numerical proof of principle: implementing the nonunitary updates, repeated feedback measurements, and the resulting compiled circuits remains a substantial obstacle, and the protocol in its present form is not a practical state-preparation method for current noisy intermediate-scale quantum devices.
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