Quantum computing is an exciting and rapidly evolving field, and a recent study by Quantum Rings has shed light on some fascinating trends in its adoption. The report, titled "Open Quantum Insights, Edition 001, Summer 2026," offers a unique glimpse into the behavior of quantum computing users and the factors that influence their choices. While the study is limited to the Quantum Rings network, it provides valuable insights into the broader quantum computing landscape.
One of the key findings is that quantum computing users are increasingly pushing the boundaries of circuit size. The 95th-percentile circuit grew from 20 to 96 qubits, indicating a growing appetite for more complex and powerful quantum computations. This trend is particularly interesting, as it suggests that users are moving beyond the realm of simple hardware testing and are beginning to explore the practical applications of quantum computing.
However, the study also reveals a stark contrast between ordinary users and a smaller group of advanced practitioners. Ordinary users, often learning or testing small circuits, still dominate the landscape. But the smaller group is attempting work at a scale that cannot be directly reproduced through brute-force simulation on conventional supercomputers. This gap highlights the need for more advanced quantum computing resources and the potential for quantum computing to revolutionize certain industries.
Price, speed, and hardware performance are emerging as critical factors in shaping the demand for commercial quantum systems. Rigetti's Cepheus-1-108Q system, with its low price per shot, processed 57% of jobs, demonstrating the importance of cost-effectiveness in the quantum computing market. Users are beginning to compare QPU prices and adjust their activity accordingly, suggesting a growing awareness of the economic aspects of quantum computing.
The study also reveals that most jobs are still focused on experimenting with and testing quantum computers rather than using them for production-level tasks. Quantum Rings' proprietary classifier analyzed the gates, layouts, and structural patterns of submitted circuits, revealing that 66% were designed mainly to prepare quantum states or benchmark hardware. This highlights the need for more practical applications and the potential for quantum computing to transform industries such as finance, optimization, and machine learning.
One of the most intriguing findings is that waiting times for quantum computing jobs are surprisingly short. Median times from submission to the start of execution were no more than two minutes on each of the six systems, challenging the common view that using a real quantum computer typically requires waiting hours or days in a queue. This suggests that the demand for quantum computing resources is not concentrated on a limited group of popular systems, but rather that the infrastructure is capable of handling a large volume of jobs efficiently.
However, the study also reveals some limitations and next steps for the quantum computing industry. The reliance on the Public Plan traffic may overrepresent education, benchmarking, and early-stage research while underrepresenting confidential commercial work. Additionally, the absence of raw job totals and the limited submission tracking may complicate the ability to judge the statistical weight of changes or compare Open Quantum's activity with other cloud quantum services.
In conclusion, the Quantum Rings study offers a fascinating glimpse into the world of quantum computing adoption. While it is limited to the Quantum Rings network, it provides valuable insights into the broader quantum computing landscape. The findings highlight the growing appetite for more complex quantum computations, the importance of price and speed in shaping demand, and the need for more practical applications. As the quantum computing industry continues to evolve, it will be fascinating to see how these trends unfold and how they shape the future of this exciting technology.
