Quantum Computing Trends: Price & Access Drive Demand [Quantum Rings Study] (2026)

Quantum computing is rapidly evolving, and a recent study by Quantum Rings sheds light on the trends and patterns shaping its demand. The research reveals that users are increasingly experimenting with larger quantum circuits, with a notable shift towards more complex and resource-intensive workloads. This trend is particularly intriguing, as it challenges the notion that quantum computing is still in its infancy, with users pushing the boundaries of what's possible.

One of the key findings is the widening gap between ordinary users, who often engage in small-scale learning and testing, and a smaller group of researchers and developers tackling more complex problems. The median circuit size has remained relatively stable at six qubits, but the 95th-percentile circuit has grown significantly, reaching 96 qubits. This indicates that users are not just experimenting with basic circuits but are venturing into more advanced and computationally demanding territories.

The study also highlights the influence of price and speed on workload execution. Rigetti's Cepheus-1-108Q system, with its competitive pricing of $0.000425 per shot, has become a popular choice, processing 57% of all jobs. This suggests that cost-effective solutions are attracting a significant portion of users, especially those engaged in high-volume experimentation.

Interestingly, the report reveals that IonQ's higher-priced trapped-ion systems are being used for variational circuits, which are crucial for quantum machine learning and optimization. These systems offer strong gate accuracy and flexible qubit connections, making them ideal for tasks that are sensitive to errors. This finding challenges the notion that lower-priced systems are the only viable option, as users are willing to invest in more expensive hardware for specific applications.

Furthermore, the study emphasizes the experimental nature of quantum computing. Most jobs submitted were designed to prepare quantum states, benchmark hardware, or were bespoke circuits that didn't match known algorithm families. This suggests that quantum computers are still primarily used for research and development, with a focus on understanding the capabilities of the hardware rather than solving real-world problems.

Another fascinating aspect of the report is the short waiting times for quantum circuit execution. The median time from submission to execution was no more than two minutes across all systems, challenging the common perception of long queues. This efficiency is attributed to the multi-vendor network, which distributes jobs across multiple machines, allowing for faster processing.

However, the study also highlights the limitations of the dataset, which is based on the Open Quantum Public Plan. Private jobs and confidential commercial work are excluded, which may skew the results towards educational and benchmarking activities. Additionally, the absence of raw job totals and submission tracking for a significant portion of jobs raises questions about the representativeness of the data.

In conclusion, the Quantum Rings study provides valuable insights into the evolving landscape of quantum computing. It reveals a growing demand for larger and more complex circuits, the influence of price and speed on workload execution, and the experimental nature of the field. As quantum computing continues to mature, these trends will shape the development of commercial quantum systems and the applications they can support.