A Yale University study published in Nature has demonstrated the first-ever experimental quantum error correction for higher-dimensional quantum units using qudits, a quantum system that holds quantum information and can exist in more than two states. The researchers used a reinforcement learning algorithm to optimize the systems as ternary and quaternary quantum memories. The experiment pushed past the break-even point for error correction, showcasing a more practical and hardware-efficient method for quantum error correction by harnessing the power of a larger Hilbert space. The increased photon loss and dephasing rates of GKP qudit states can lead to a modest reduction in the lifetime of the quantum information encoded in logical qudits, but in return, it provides access to more logical quantum states in a single physical system. The findings demonstrate the promise of realizing robust and scalable quantum computers and could lead to breakthroughs in cryptography, materials science, and drug discovery.