Robust two-qubit trapped ions gates using spin-dependent squeezing

Abstract

Entangling gates are an essential component of quantum computers. However, generating high-fidelity gates, in a scalable manner, remains a major challenge in all quantum information processing platforms. Accordingly, improving the fidelity and robustness of these gates has been a research focus in recent years. In trapped ions quantum computers, entangling gates are performed by driving the normal modes of motion of the ion chain, generating a spin-dependent force. Even though there has been significant progress in increasing the robustness and modularity of these gates, they are still sensitive to noise in the intensity of the driving field. Here we supplement the conventional spin-dependent displacement with spin-dependent squeezing, which enables a gate that is robust to deviations in the amplitude of the driving field. We solve the general Hamiltonian and engineer its spectrum analytically. We also endow our gate with other, more conventional, robustness properties, making it resilient to many practical sources of noise and inaccuracies.

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Cited by in corpus (12)

• Demonstration of three- and four-body interactions between trapped-ion spins
• Angle-robust Two-Qubit Gates in a Linear Ion Crystal
• Realization of programmable Ising models in a trapped-ion quantum simulator
• Two-qubit operations for finite-energy Gottesman-Kitaev-Preskill encodings
• High-fidelity and robust controlled-Z gates implemented with Rydberg atoms via echoing rapid adiabatic passage
• Interaction graph engineering in trapped-ion quantum simulators with global drives
• Transverse Polarization Gradient Entangling Gates for Trapped-Ion Quantum Computation
• Quantum computing architecture with Rydberg gates in trapped ions
• Robust Oscillator-Mediated Phase Gates Driven by Low-Intensity Pulses
• Optimal Displacement Sensing with Spin-Dependent Squeezed States
• Hamiltonian simulation with explicit formulas for Digital-Analog Quantum Computing
• Improving adiabatic quantum factorization via chopped random-basis optimization