Compact acousto-optic deflector individual addressing system for trapped-ion quantum computers
POSTER
Abstract
Abstract body
Trapped-ion system is one of the most promising platforms for quantum computing due to its low SPAM errors, long coherence time, and high entangling gate fidelity. To realize a scalable computing architecture with all-to-all connectivity, individual addressing of each trapped-ion qubit is essential. Recently, various individual addressing techniques including MEMS mirrors [1,2] and multi-channel acousto-optic modulators (AOMs) [3], and integrated fiber arrays [4] were demonstrated in different systems. However, these approaches have their own drawbacks. For example, MEMS mirrors limit the laser power, while AOMs and fiber arrays require evenly spaced ion chains and suffer from unavoidable crosstalk. Here, we demonstrate an individual addressing system using four acousto-optic deflectors (AODs) that allow full addressing flexibility, higher laser power, and lower crosstalk to achieve high-fidelity gates in a long ion chain. Our expected results show the addressing capability of more than 20 ions with negligible crosstalk of less than 0.1%. We also expect to achieve entangling gates that are over 50% faster than our current MEMS mirror steering system [2]. In addition, miniaturized optical components are used to realize a compact system with a minimized optical path, increasing robustness against external vibrations.
References
[1] Wang, Ye, et al. "High-fidelity two-qubit gates using a microelectromechanical-system-based beam steering system for individual qubit addressing." Physical Review Letters 125.15 (2020): 150505.
[2] Spivey, Robert Fulton, et al. "High-stability cryogenic system for quantum computing with compact packaged ion traps." IEEE Transactions on Quantum Engineering 3 (2021): 1-11.
[3] Debnath, Shantanu, et al. "Demonstration of a small programmable quantum computer with atomic qubits." Nature 536.7614 (2016): 63-66.
[4] Mehta, Karan K., et al. "Integrated optical multi-ion quantum logic." Nature 586.7830 (2020): 533-537.
Trapped-ion system is one of the most promising platforms for quantum computing due to its low SPAM errors, long coherence time, and high entangling gate fidelity. To realize a scalable computing architecture with all-to-all connectivity, individual addressing of each trapped-ion qubit is essential. Recently, various individual addressing techniques including MEMS mirrors [1,2] and multi-channel acousto-optic modulators (AOMs) [3], and integrated fiber arrays [4] were demonstrated in different systems. However, these approaches have their own drawbacks. For example, MEMS mirrors limit the laser power, while AOMs and fiber arrays require evenly spaced ion chains and suffer from unavoidable crosstalk. Here, we demonstrate an individual addressing system using four acousto-optic deflectors (AODs) that allow full addressing flexibility, higher laser power, and lower crosstalk to achieve high-fidelity gates in a long ion chain. Our expected results show the addressing capability of more than 20 ions with negligible crosstalk of less than 0.1%. We also expect to achieve entangling gates that are over 50% faster than our current MEMS mirror steering system [2]. In addition, miniaturized optical components are used to realize a compact system with a minimized optical path, increasing robustness against external vibrations.
References
[1] Wang, Ye, et al. "High-fidelity two-qubit gates using a microelectromechanical-system-based beam steering system for individual qubit addressing." Physical Review Letters 125.15 (2020): 150505.
[2] Spivey, Robert Fulton, et al. "High-stability cryogenic system for quantum computing with compact packaged ion traps." IEEE Transactions on Quantum Engineering 3 (2021): 1-11.
[3] Debnath, Shantanu, et al. "Demonstration of a small programmable quantum computer with atomic qubits." Nature 536.7614 (2016): 63-66.
[4] Mehta, Karan K., et al. "Integrated optical multi-ion quantum logic." Nature 586.7830 (2020): 533-537.
Presenters
-
Jiyong Yu
Duke University
Authors
-
Jiyong Yu
Duke University
-
Ke Sun
Duke University
-
Jungsang Kim
Duke University