Unpacking the insights

1.  Perceived value and usability
Participants' feedback on the Classiq platform provided valuable insights into what drives its perceived value and usability. Those who used the platform more frequently reported that features initially challenging became easier to navigate over time, with a strong correlation (r = 0.634) indicating that consistent use significantly reduces the learning curve associated with quantum computing. Additionally, participants who engaged more deeply in the training sessions found that tasks they initially struggled with became easier, underscoring the importance of structured learning in building familiarity and comfort with the platform (r = 0.677).

The perspectives of participants on the factors influencing the adoption of quantum computing technology were mixed. For instance, 55% of participants disagreed with the notion of a strong organizational push to integrate quantum computing into their daily tasks, which is to be expected given the conditions of this study were conducted in employees’ spare time as a special interest group. On the other hand, the majority of all participants (60%) agreed that the training they received was relevant to working with quantum computing technology, and 80% of the participants who attended both training sessions agreed with this.

2.  Effectiveness of structured training
The structured training sessions in our study had a significant impact on enhancing participants' quantum computing knowledge. Participants’ score on the quantum knowledge assessments on average improved by 5% after completing the trainings. Those who took one or more training sessions saw an increase in their assessment from 81% to 95%. Further, more frequent use of the tool also resulted in better results on the knowledge test, as participants who used the Classiq platform more than twice on average improved their score from 86% to 94%. These results underscore the effectiveness of structured learning in equipping users with the necessary skills and knowledge to navigate quantum computing tools.

However, the study also revealed a nuanced outcome: participants' optimism about quantum computing's potential declined after the training. Before the sessions, 95% of participants believed that quantum computing would enable them to solve complex problems that classical computing cannot address, but this confidence dropped to 70% afterward. Similarly, the belief that quantum computing would drive innovation in their industry fell from 100% to 70%. This decrease in optimism was most noticeable among participants with lower initial familiarity with quantum computing, suggesting that as participants gained a deeper understanding of the technology, they also became more aware of its current limitations and challenges.

A different outcome is visible when focusing solely on those participants who took part in both training sessions and answered the relevant questions. Their belief remained unchanged before and after the training, with 91% agreeing that quantum computing will enable them to solve complex problems not addressable by classical computing. Furthermore, although before the training 100% of them agreed that adoption of quantum computing would drive innovation and new solutions within their industry, afterward this agreement remained high but dropped to 82%. This suggests that comprehensive training, education, and a realistic understanding of its current state drives positive outlooks about quantum computing's potential.

3.  Impact of prior knowledge and psychological traits
The study found that self-efficacy—an individual's belief in their ability to accomplish their goals—showed a strong correlation with tolerance for complexity (r = .70), suggesting that participants who believed in their ability to achieve goals were better equipped to manage the complex and abstract concepts inherent in quantum computing. Similarly, hope, another key facet of psychological capital, demonstrated positive correlations with tolerance for complexity (r = .63), ambiguity (r = .62), and inconsistency (r = .60). This indicates that participants who maintained a hopeful outlook were better prepared to handle the uncertainties that are often part of engaging with quantum computing.
These findings suggest that success in quantum computing isn't solely about what you know, but also about how you approach the unknown. While technical knowledge provides a foundation, psychological factors play a large role in empowering individuals to tackle the formidable learning and application challenges posed by quantum computing.

Insights and future directions
Our study underscores the complexity of adopting quantum computing technologies, revealing that successful engagement with platforms like Classiq requires more than just a foundational understanding of quantum computing. While structured training significantly boosts users' knowledge and skills, our findings highlight that psychological traits such as self-efficacy and hope play a critical role in how effectively participants navigate the challenges of quantum computing.

Furthermore, while the training improved participants' technical abilities, it also tempered their initial optimism about the potential of quantum computing, especially among those with less familiarity. This nuanced outcome suggests that as organizations adopt quantum technologies, they must prepare their teams not only with technical training but also with realistic expectations about the current limitations and future possibilities of quantum computing. Balanced and practical trainings, like those offered by Classiq, can help orient users with varying levels of quantum knowledge toward realistic quantum computing practices and expectations. As the field continues to evolve, our research points to the importance of developing tailored educational frameworks that address both the cognitive and emotional aspects of learning, ultimately fostering a more resilient and capable workforce ready to harness the transformative power of quantum computing.

Following this pilot study, future research should aim to broaden the participant base to include a wider range of industries and interest levels, particularly those less familiar or less inclined towards quantum technologies. These efforts will be crucial in refining workforce upskilling strategies and ensuring the successful adoption of quantum computing across diverse contexts.

For more insights about emerging technology adoption, read our research about generative AI in the workplace.