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This research presents a near-optimal, analytically constructed method for synthesizing non-Gaussian phase gates using qubit-oscillator Rabi control, directly addressing a fundamental bottleneck in universal continuous-variable quantum computation. By achieving polylogarithmic scaling with respect to target error without requiring numerical optimization, the scheme offers a scalable primitive for simulating complex CV dynamics and solving linear partial differential equations. The work establishes a critical theoretical foundation for advancing practical implementations of non-Gaussian operations in multimode quantum systems.
Near-optimal synthesis of non-Gaussian phase gates via qubit-oscillator Rabi control
arXiv:2609.09132v1 Announce Type: new Abstract: Non-Gaussian gates remain a key bottleneck for universal continuous-variable (CV) quantum computation because the nonlinearities they require are difficult to engineer. To address this challenge, we develop an efficient qubit-oscillator Rabi synthesis scheme for polynomial phase gates, with a total interaction time that scales polylogarithmically with the inverse target error \(\varepsilon\). Specifically, for a class of readily preparable initial states, we show that a degree-\(R\) phase gate can be approximated by an analytically constructed Rabi sequence with total time \(O(\log^{(R-1)/2+o(1)}(1/\varepsilon))\). This construction requires no numerical optimization and therefore extends naturally to arbitrarily large multimode systems. We further establish a total-time lower bound of \(\Omega(\log^{(R-1)/2}(1/\varepsilon))\), showing that the synthesis is near optimal. As applications, we use this scheme to simulate representative CV quantum dynamics and implement a CV quantum algorithm for solving linear partial differential equations. These results establish qubit-oscillator Rabi control as an efficient, analytically compilable, and near-optimal primitive for CV quantum information processing.
Abstract:Non-Gaussian gates remain a key bottleneck for universal continuous-variable (CV) quantum computation because the nonlinearities they require are difficult to engineer. To address this challenge, we develop an efficient qubit-oscillator Rabi synthesis scheme for polynomial phase gates, with a total interaction time that scales polylogarithmically with the inverse target error \(\varepsilon\). Specifically, for a class of readily preparable initial states, we show that a degree-\(R\) phase gate can be approximated by an analytically constructed Rabi sequence with total time \(O(\log^{(R-1)/2+o(1)}(1/\varepsilon))\). This construction requires no numerical optimization and therefore extends naturally to arbitrarily large multimode systems. We further establish a total-time lower bound of \(\Omega(\log^{(R-1)/2}(1/\varepsilon))\), showing that the synthesis is near optimal. As applications, we use this scheme to simulate representative CV quantum dynamics and implement a CV quantum algorithm for solving linear partial differential equations. These results establish qubit-oscillator Rabi control as an efficient, analytically compilable, and near-optimal primitive for CV quantum information processing.
arXiv:2609.09132 [quant-ph]
(or arXiv:2609.09132v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2609.09132 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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