Unknown

Dataset Information

0

Efficient implementation of a quantum algorithm with a trapped ion qudit.


ABSTRACT: Demonstration of quantum advantage remains challenging due to the increased overhead of controlling large quantum systems. While significant effort has been devoted to qubit-based devices, qudits (d-level systems) offer potential advantages in both hardware efficiency and algorithmic performance. In this paper, we demonstrate multi-tone control of a single trapped ion qudit of up to eight levels, as well as the implementation of Grover's search algorithm on a qudit with dimensions five and eight, achieving operation fidelity of 96.8(3)% and 69(6)%, respectively, which correspond to 99.9(1)% and 97.1(3) % squared statistical overlap, respectively, with the expected result for a single iteration of the Grover search algorithm. The performance is competitive when compared to qubit-based systems; moreover, the sequence requires only O(d) single-qudit gates and no entangling gates. This work highlights the potential of using qudits for efficient implementations of quantum algorithms.

SUBMITTER: Shi X 

PROVIDER: S-EPMC12923767 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

Efficient implementation of a quantum algorithm with a trapped ion qudit.

Shi Xiaoyang X   Sinanan-Singh Jasmine J   Burke Timothy J TJ   Chiaverini John J   Chuang Isaac L IL  

Nature communications 20260121 1


Demonstration of quantum advantage remains challenging due to the increased overhead of controlling large quantum systems. While significant effort has been devoted to qubit-based devices, qudits (d-level systems) offer potential advantages in both hardware efficiency and algorithmic performance. In this paper, we demonstrate multi-tone control of a single trapped ion qudit of up to eight levels, as well as the implementation of Grover's search algorithm on a qudit with dimensions five and eight  ...[more]

Similar Datasets

| S-EPMC7289877 | biostudies-literature
| S-EPMC6795904 | biostudies-literature
| S-EPMC5287699 | biostudies-literature
| S-EPMC8897515 | biostudies-literature
| S-EPMC10613293 | biostudies-literature
| S-EPMC5378044 | biostudies-literature
| S-EPMC11488574 | biostudies-literature
| S-EPMC11661436 | biostudies-literature
| S-EPMC11533827 | biostudies-literature
| S-EPMC7568299 | biostudies-literature