Quantum software startup Haiqu has demonstrated for the first time that quantum computers can successfully handle high-dimensional data, typical of real-world tasks. The new method was used to improve anomaly detection algorithms.
Quantum software startup Haiqu has demonstrated for the first time that quantum computers can successfully handle high-dimensional data, typical of real-world tasks. The new method was used to improve anomaly detection algorithms.
The experiments were conducted on the latest generation IBM Heron quantum processor, reports Economic Truth.
The team applied a new method of quantum data loading, which allowed for efficient encoding of large amounts of information: over 500 features were placed in 128 qubits (quantum bits).
This figure is significantly higher than previous achievements and is the first case of obtaining a real, practical improvement in the anomaly detection algorithm on a real quantum device.
In practice, data is often too complex and noisy for classical algorithms. Quantum computers allow us to represent this data in a different way, so that patterns and glitches become more apparent. However, until now, such data processing has been limited or impossible due to the small number of qubits and the number of operations available in quantum processor models.
"Modern quantum computers, although not ideal, are already approaching practical applications. Thanks to our approach, quantum algorithms work on much larger scales, where quantum data processing begins to give an advantage, which we demonstrated on problems with anomalies," notes Mykola Maksymenko, co-founder and CTO of Haiqu.
From detecting fraud in financial transactions and atypical behavior in markets to abnormalities in patient metrics, industrial sensors, and unusual weather patterns, anomaly detection tasks are critical. Even small improvements in accuracy can have a significant impact on entire industries.
Haiqu plans to expand its research to more complex data and a wider range of tasks in the future. The startup has also started accepting applications to participate in beta testing the technology for other typical datasets.
In 2023, Haiqu was founded by Mykola Maksymenko, former vice president of R&D at Ukrainian IT company SoftServe, and Richard Givan, who previously worked at Mitsubishi Electric.
Last year, the startup was among the 11 most promising quantum startups in Europe.
