  Automated Program Repair (APR) is a vital area in software engineering aimed
at generating automatic patches for vulnerable programs. While numerous
techniques have been proposed for repairing classical programs, the realm of
quantum programming lacks a comparable automated repair technique. In this
initial exploration, we investigate the use of ChatGPT for quantum program
repair and evaluate its performance on Bugs4Q, a benchmark suite of quantum
program bugs. Our findings demonstrate the feasibility of employing ChatGPT for
quantum program repair. Specifically, we assess ChatGPT's ability to address
bugs within the Bugs4Q benchmark, revealing its success in repairing 29 out of
38 bugs. This research represents a promising step towards automating the
repair process for quantum programs.
