Developing a trapped-ion qudit for high-dimensional quantum information processing
Abstract
This project aims to advance the development of high-dimensional quantum hardware by investigating the potential of a new trapped-ion species, lutetium ion (Lu+), for qudit-based quantum information processing (QIP). Lu+ has attractive properties such as a relatively long T1 relaxation time and multiple (greater than2) hyperfine levels simultaneously first-order insensitive to magnetic field fluctuations, making it a promising candidate to investigate the feasibility of high-dimensional qudit-based QIP. Our goal is to simultaneously suppress the noise floor and leverage high-dimensional quantum systems to close the gap toward practical error-corrected universal QIP. High-dimensional quantum systems have theoretically shown to offer more favorable error thresholds than qubit systems and provide better algorithm robustness and hardware efficiency for quantum phase estimations.To achieve this goal, we will focus on developing a qutrit (quantum three-level system) encoded in a Lu+ ion in a linear Paul trap. We will conduct comprehensive experimental characterization of all building-block operations required for universal qutrit QIP, including coherence time, state preparation and measurement, single-qutrit (SQ) gates, and two-qutrit (TQ) entangling gates. We will benchmark the performance of these operations against the current state-of-the-art metrics in both qubit-based and qudit-based systems and aim to achieve a 10-fold improvement compared to the current best qudit demonstration. To fully utilize the potential of Lu+ qutrits in QIP, we will also develop a suite of qudit-focused quantum control engineering (QCE) protocols to implement error-robust and resource-efficient dynamically-modulated pulses for state preparation, readout, SQ gates, and TQ gates. Overall, this project represents an important step towards advancing trapped-ion QIP systems beyond the existing qubit-centric species. The development of high-performance qudits in novel species will enable researchers to achieve new levels of coherence and fidelity, paving the way for large-scale error-corrected quantum computing and enhancing the efficiency and scalability of quantum simulations in molecular chemistry.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 16, 2024
- Source ID
- FA23862314062
Entities
People
- Ting Rei Tan
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of Sydney