Vera Neef, Julien Pinske, M. Heinrich, Stefan Scheel, A. Szameit
{"title":"Non-Adiabatic Holonomic Quantum Gates","authors":"Vera Neef, Julien Pinske, M. Heinrich, Stefan Scheel, A. Szameit","doi":"10.1109/CLEO/Europe-EQEC57999.2023.10231394","DOIUrl":null,"url":null,"abstract":"Implementing quantum gates as non-Abelian holonomies, a class of topologically protected unitary operators, is a particularly promising paradigm for the design of intrinsically stable quantum computers [1]. In contrast to dynamic phases, the geometric phase accumulated by a quantum system propagating through a Hilbert space $\\mathcal{H}$ depends exclusively on its path. In general, geometric phases can exhibit arbitrary dimensionality. Wilczek and Zee introduced the idea of multi-dimensional, non-Abelian geometric phases - so called holonomies [2]. Anandan later dropped the requirement of adiabaticity to create holonomies, that are truly time-independent [3]. Non-adiabatic holonomies rely on a subspace $\\mathcal{H}_{\\text{geo}}$ of the Hilbert-space that is spanned by states $\\{\\vert \\Phi_{k}\\rangle\\}_{k}$ that fulfill $(\\Phi_{k}\\vert \\hat{H}\\vert \\Phi_{j}\\rangle=0$, where $\\hat{H}$ is the system's Hamiltonian. Restricting the propagation to $\\mathcal{H}_{\\text{geo}}$ ensures parallel transport and, thus, a purely geometric phase (see Fig. 1a) [4], [5]. Quantum optics constitutes a particularly versatile platform for quantum information processing, and in particular for the construction of non-adiabatic holonomic quantum computers: In addition to integration and miniaturization provided by the platform, the bosonic nature of photons also conveniently allows for multiple excitations of the same mode, readily expanding $\\mathcal{H}_{\\text{geo}}$ and enabling the synthesis of holonomies from higher symmetry groups $\\mathrm{U}(N)$ as larger and more capable computational units [6], [7].","PeriodicalId":19477,"journal":{"name":"Oceans","volume":"32 1","pages":"1-1"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Oceans","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CLEO/Europe-EQEC57999.2023.10231394","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Implementing quantum gates as non-Abelian holonomies, a class of topologically protected unitary operators, is a particularly promising paradigm for the design of intrinsically stable quantum computers [1]. In contrast to dynamic phases, the geometric phase accumulated by a quantum system propagating through a Hilbert space $\mathcal{H}$ depends exclusively on its path. In general, geometric phases can exhibit arbitrary dimensionality. Wilczek and Zee introduced the idea of multi-dimensional, non-Abelian geometric phases - so called holonomies [2]. Anandan later dropped the requirement of adiabaticity to create holonomies, that are truly time-independent [3]. Non-adiabatic holonomies rely on a subspace $\mathcal{H}_{\text{geo}}$ of the Hilbert-space that is spanned by states $\{\vert \Phi_{k}\rangle\}_{k}$ that fulfill $(\Phi_{k}\vert \hat{H}\vert \Phi_{j}\rangle=0$, where $\hat{H}$ is the system's Hamiltonian. Restricting the propagation to $\mathcal{H}_{\text{geo}}$ ensures parallel transport and, thus, a purely geometric phase (see Fig. 1a) [4], [5]. Quantum optics constitutes a particularly versatile platform for quantum information processing, and in particular for the construction of non-adiabatic holonomic quantum computers: In addition to integration and miniaturization provided by the platform, the bosonic nature of photons also conveniently allows for multiple excitations of the same mode, readily expanding $\mathcal{H}_{\text{geo}}$ and enabling the synthesis of holonomies from higher symmetry groups $\mathrm{U}(N)$ as larger and more capable computational units [6], [7].