Transport Implementation of the Bernstein-Vazirani Algorithm with Ion Qubits
Spencer Fallek, Creston Herold, Brian McMahon, Kara Maller, Kenneth, Brown, and Jason Amini

TL;DR
This paper demonstrates the implementation of the Bernstein-Vazirani quantum algorithm using ion transport in a scalable microfabricated trap, achieving high success probabilities with two- and three-ion chains.
Contribution
It introduces a transport-based ion trap architecture for executing the Bernstein-Vazirani algorithm, scalable to larger systems, with experimental results showing quantum advantage over classical methods.
Findings
Successful implementation with 97.6% accuracy for two ions.
Achieved 80.9% success probability with three ions.
Demonstrated quantum advantage over classical systems with the same number of queries.
Abstract
Using trapped ion quantum bits in a scalable microfabricated surface trap, we perform the Bernstein-Vazirani algorithm. Our architecture relies upon ion transport and can readily be expanded to larger systems. The algorithm is demonstrated using two- and three-ion chains. For three ions, an improvement is achieved compared to a classical system using the same number of oracle queries. For two ions and one query, we correctly determine an unknown bit string with probability 97.6(8)%. For three ions, we succeed with probability 80.9(3)%.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
