Efficient sideband cooling protocol for long trapped-ion chains

Abstract

Trapped ions are a promising candidate for large scale quantum computation. Several systems have been built in both academic and industrial settings to implement modestly-sized quantum algorithms. Efficient cooling of the motional degrees of freedom is a key requirement for high-fidelity quantum operations using trapped ions. Here, we present a technique whereby individual ions are used to cool individual motional modes in parallel, reducing the time required to bring an ion chain to its motional ground state. We demonstrate this technique experimentally and develop a model to understand the efficiency of our parallel sideband cooling technique compared to more traditional methods. This technique is applicable to any system using resolved sideband cooling of co-trapped atomic species and only requires individual addressing of the trapped particles.

arXiv comment7 pages, 5 figures

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Cited by in corpus (14)

• Efficient ground-state cooling of large trapped-ion chains with an EIT tripod scheme
• Programmable quantum simulations of bosonic systems with trapped ions
• Optimized pulsed sideband cooling and enhanced thermometry of trapped ions
• Power-optimal, stabilized entangling gate between trapped-ion qubits
• Electromagnetically-Induced-Transparency Cooling of High-Nuclear-Spin Ions
• Efficient motional-mode characterization for high-fidelity trapped-ion quantum computing
• Systematic study of tunable laser cooling for trapped-ion experiments
• Sideband thermometry of ion crystals
• Scalable quantum logic spectroscopy
• Design and characterization of individual addressing optics based on multi-channel acousto-optic modulator for ${}^{171}$Yb${}^{+}$ qubits
• Non-invasive measurement of currents in analog quantum simulators
• Pulse optimization for high-precision motional-mode characterization in trapped-ion quantum computers
• Ion counting and temperature determination of Coulomb-crystallized laser-cooled ions in traps using convolutional neural networks
• Multilevel Electromagnetically Induced Transparency Cooling