The evolution of higher education and technological advancements has transformed the accessibility and understanding of complex subjects, such as quantum computing. Traditionally, higher education has focused on specialized knowledge, making it challenging for individuals to explore diverse fields beyond their expertise. However, modern technologies have democratized access to information, enabling non-experts to engage with complex topics. Quantum computing, grounded in the principles of quantum mechanics, is notoriously complex and has historically been accessible only to a select few. This exclusivity presents a challenge for those outside the field who wish to explore the possibilities of quantum technologies. Recognizing this gap, the potential of ChatGPT to make quantum computing more approachable and understandable to non-experts can be explored. This exploration is not just about enhancing the functionality of ChatGPT but about envisioning a future where quantum computing is accessible to all, transforming the landscape of computation and innovation. This research serves as an initial validation of the potential for large language models to act as an accessibility layer to quantum computing, having as a design tool the newly created Quantum Buddy 2.0, a custom GPT-4, fine-tuned through iterative feedback and testing. A key part of the study is the development of a set of tasks designed to serve as benchmarks for evaluating the performance of large language models. Among these, one task was designed to enable those without a background in quantum mechanics to solve quantum encryption problems. Another task involved a test comparing Quantum Buddy in its previous versions with the standard model of ChatGPT. This comparison not only highlights the capabilities of these models but also provides insight for future evaluations. By utilizing these models, non-expert participants can now design and create with quantum computing, suggesting a future where quantum development moves forward rapidly. The research thus demonstrates that ChatGPT significantly simplifies the process of programming quantum computers, facilitating learning and performance across a broad spectrum of abilities. It enables novices to engage in creative coding, allows coders to gain insights into quantum mechanics, and enhances the efficiency of quantum experts. This variety in application underscores ChatGPT’s role in democratizing access to quantum computing. However, it is important to recognize that these findings represent the beginning of a much larger exploration. The evidence provided by the study points to a future where ChatGPT and similar large language models significantly enhance the non-expert's access to quantum computing. Despite the progress made, the journey is not without its challenges. The evolving capabilities of ChatGPT, along with the dynamic nature of programming languages and quantum computing itself, require ongoing adaptation and enhancement. Overall, the research contributes to a foundational understanding of how large language models like ChatGPT can make quantum computing more accessible. This work lays the groundwork for further studies and developments, signaling a promising direction for the broader application and understanding of quantum computing technologies.