Quantum computing (QC) offers unprecedented computational power for solving complex problems in various domains [6]. However, there is a significant gap in accessible educational resources for young learners, particularly at the high school and undergraduate levels [1 ]. Early exposure to quantum concepts is crucial for cultivating future innovators [10 ]. Moreover, QC education is often limited to institutions with higher resources. As QC is anticipated to become mainstream and disrupt countless industries, the demand for a skilled, diverse workforce in QC will rise significantly [10 ]. To address this, QuantumAiEd bridges the educational gap by of- fering personalized, accessible QC education, ensuring inclusivity and preparing a diverse future workforce. Current QC educational tools either only touch on surface level concepts, relying on gam- ified concepts without depth [ 5], or are too advanced, requiring extensive mathematical backgrounds [4]. AI chatbots have shown promise in personalized learning [2 ], but their application in QC education remains underexplored. We present QuantumAiEd, an AI-based platform that bridges the educational gap by providing personalized, accessible QC education. The platform offers interactive learning through AI-generated content, short quizzes, and immediate feedback, dynamically adapting to individual needs and making complex concepts more approachable. A preliminary study with 20 students showed that QuantumAiEd improves understanding and engagement, with performance increasing after revisiting incorrectly answered questions. The User Experience Questionnaire (UEQ-S) also indicated a positive user experience. This study demonstrates the potential of AI-powered platforms to democratize QC education and address existing educational gaps [13].