Starting August 1, 2026, specialists from Bauman Moscow State Technical University and the All-Russian Research Institute of Automatics named after Dukhov will open remote access to the new 8-qubit superconducting coprocessor SnowDrop 8Q via the Bauman Octillion cloud platform. Support for the previous 4-qubit version will be maintained.
The key achievement of the developers is a rethinking of the device's architecture. As project leader Ilya Rodionov explained, engineers improved the chip's topology and introduced a new method for controlling interactions between computational elements. Instead of standard solutions, they applied the technology of special bipolar pulses (BAT), which increased the system's resistance to interference and simplified equipment setup.
The main breakthrough is in operational accuracy. During testing, the average accuracy of simultaneous single-qubit operations on the new processor reached 99.929%, and two-qubit operations reached 99.26%. For the most effective connections between qubit pairs, the indicator was 99.55%, which corresponds to the best world standards for superconducting systems.
The new form of control signals allows reducing the number of operations within algorithms. This not only saves coprocessor resources but also significantly reduces the probability of errors – two-qubit interactions are traditionally considered the "bottleneck" in quantum computing.
Scientists emphasize that mathematical modeling confirms the possibility of further increasing accuracy – above 99.9% – even when scaling the system to a larger number of qubits. This is an important step towards creating hybrid quantum-classical centers capable of solving problems inaccessible to conventional supercomputers.
The race for quantum technologies is gaining momentum: for example, at the end of 2025, China already announced the commercial readiness of a 105-qubit machine with similar cloud access. However, the Russian development focuses not on the number of elements, but on the qualitative growth of computational accuracy – which is critically important for the practical application of quantum algorithms.




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