Correcting noisy quantum gates with shortcuts to adiabaticity

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Cavalcante, Moallison F., Çakmak, Bariş, Bonança, Marcus V. S., Deffner, Sebastian
Format: Preprint
Published: 2025
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866918229414248448
author Cavalcante, Moallison F.
Çakmak, Bariş
Bonança, Marcus V. S.
Deffner, Sebastian
author_facet Cavalcante, Moallison F.
Çakmak, Bariş
Bonança, Marcus V. S.
Deffner, Sebastian
contents Unitary quantum gates constitute the building blocks of Quantum Computing in the circuit paradigm. In this work, we engineer a locally driven two-qubit Hamiltonian whose instantaneous ground-state dynamics generates the controlled-NOT (CNOT) quantum gate. In practice, quantum gates have to be implemented in finite-time, hence non-adiabatic and external noise effects debilitate gate fidelities. Here, we show that counterdiabatic control can restore gate performance with near perfect fidelities even in open quantum systems subject to decoherence.
format Preprint
id arxiv_https___arxiv_org_abs_2505_20000
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Correcting noisy quantum gates with shortcuts to adiabaticity
Cavalcante, Moallison F.
Çakmak, Bariş
Bonança, Marcus V. S.
Deffner, Sebastian
Quantum Physics
Unitary quantum gates constitute the building blocks of Quantum Computing in the circuit paradigm. In this work, we engineer a locally driven two-qubit Hamiltonian whose instantaneous ground-state dynamics generates the controlled-NOT (CNOT) quantum gate. In practice, quantum gates have to be implemented in finite-time, hence non-adiabatic and external noise effects debilitate gate fidelities. Here, we show that counterdiabatic control can restore gate performance with near perfect fidelities even in open quantum systems subject to decoherence.
title Correcting noisy quantum gates with shortcuts to adiabaticity
topic Quantum Physics
url https://arxiv.org/abs/2505.20000