Know Your Qubits, Know Your Users: Personas for Quantum Software

Quantum computing is a field of science that promises to solve certain problems much faster than the computers we use today. While traditional computers process information using bits that are either a zero or a one, quantum computers use quantum bits, or qubits, which can exist in a more complex state that allows them to explore many possibilities at once. However, building these machines is incredibly difficult, and even harder is writing the software that tells them what to do. The software must bridge the gap between the strange laws of physics that govern the hardware and the practical problems people want to solve, such as designing new medicines or optimizing traffic flow. Because the technology is still young and the people working on it come from many different backgrounds—ranging from physicists to business executives—there is a risk that the software will be built for the wrong people or in a way that is too confusing to use.

To address this challenge, a team of researchers set out to understand exactly who will be using quantum software and what they need from it. They did not start by writing code or building machines. Instead, they treated the problem like a design challenge, asking who the users are before deciding what to build. They gathered a group of experts and interviewed practitioners working in the field to create detailed profiles, known as personas, of the different types of people who will interact with this technology. These profiles are not just lists of job titles; they are stories that describe what each person wants to achieve, what limits they face, and how much technical detail they need to see to do their job.

The researchers conducted their work in two main stages. First, they brought together a group of ten experts at a specialized seminar to discuss the future of the field. These experts looked at the technology in three timeframes: the short term, where machines are small and limited; the mid-term, where they become larger and more reliable; and the long term, when they are fully scalable. From these discussions, they identified a wide range of potential users. They saw that in the near future, curious business leaders and students would want to try out small experiments, while scientists would need tools to simulate physical systems. As the technology matures, they predicted that engineers would be needed to connect many small quantum computers together, and that material scientists would use the machines to discover new compounds.

To check if these expert predictions matched reality, the researchers then spoke directly with eleven practitioners at a major conference. These were people currently working on quantum software in both universities and companies. The interviews confirmed many of the expert ideas but also revealed new nuances. For instance, the practitioners described business users not just as curious beginners, but as profit-driven decision-makers who need to know if a quantum solution will save money or protect data, without needing to understand the complex math behind it. They also highlighted the role of government contractors, who have strict security rules and cannot use software that acts like a "black box" where the inner workings are hidden.

By combining the insights from the experts and the practitioners, the team synthesized eleven distinct personas that represent the current and future landscape of quantum software users. These include business users who want high-level results, early adopters looking to integrate new technology, and government contractors focused on security. On the scientific side, there are researchers, physicists, and chemists who want to test theories and simulate complex molecules. There are also the builders of the technology itself, such as platform developers who create the tools others use, and algorithm designers who figure out how to make the machines run efficiently. Finally, there are the engineers who handle the heavy lifting of connecting quantum computers to the rest of the world's computing infrastructure.

The study found that these different groups have very different needs regarding how much detail they want to see. Some users, like business leaders, prefer to stay far away from the technical specifics, wanting only a clear answer to their problem. Others, like the engineers building the systems, need to see every detail of how the machine works to make it run correctly. The researchers realized that a single software tool cannot satisfy everyone. Instead, the field needs a variety of interfaces and languages, each tailored to a specific type of user. Just as a carpenter uses a hammer and a surgeon uses a scalpel, a business executive might need a simple dashboard while a physicist needs a complex programming environment.

This work suggests that the future of quantum software depends on recognizing these differences. If developers build tools that are too technical for a business user, that user will not be able to use them. If they build tools that are too simple for an engineer, the machine will not run efficiently. The researchers propose that by using these personas as a guide, the community can create software that is meaningful and useful for everyone involved. They view this list of user profiles not as a final answer, but as a starting point for the community to continue refining their understanding of who they are building for. As the technology grows, these profiles will help ensure that the software evolves in a way that serves the actual needs of the people who will use it, rather than just the capabilities of the machines themselves.