Insider Brief
- Researchers from CSIRO demonstrated that quantum computing can significantly enhance data processing, with potential applications in real-time traffic management, healthcare, agriculture and energy optimization.
- By leveraging quantum properties like superposition and entanglement, the team compressed and analyzed large datasets with greater speed and accuracy than classical computers, showcasing its advantages for complex real-world problems.
- CSIRO’s research contributes to Australia’s decades-long leadership in quantum technology, aligning with UNESCO’s International Year of Quantum Science and Technology and guiding future quantum hardware and software development.
PRESS RELEASE — Quantum researchers from CSIRO, Australia’s national science agency, have demonstrated the potential for quantum computing to significantly improve how we solve complex problems involving large datasets, highlighting the potential of using quantum in areas such as real-time traffic management, agricultural monitoring, healthcare, and energy optimization.
By leveraging the unique properties of quantum computing, like superposition and entanglement, researchers compressed and analyzed a large dataset with speed, accuracy, and efficiency that traditional computers cannot match.
Unlike regular binary computer bits that are either “on” or “off,” quantum bits (qubits) can exist in multiple states at once, allowing quantum computers to process many possibilities simultaneously.
Dr Muhammad Usman, a CSIRO quantum scientist and the senior author of the study, said the research team was able to demonstrate quantum machine learning can simplify large sets of data without losing important details.
“With the global volume of data doubling every few years, quantum computing’s ability to handle this complexity will become increasingly valuable,” Dr Usman said.
“Our work focused on groundwater monitoring as a case study, but quantum machine learning has broad applications in any field requiring fast, detailed analysis of large datasets.
“As practical applications for machine learning rapidly increase, we expect that integrating the tremendous computational power of quantum in machine learning will offer transformative impact in solving many industrial and real-world problems.
“For example, this could transform how we optimise traffic routes to minimise congestion on roads and reduce harmful emissions or process medical imaging with unprecedented accuracy to enable fast and reliable diagnosis.”
The United Nations Educational, Scientific and Cultural Organization (UNESCO) has declared 2025 the International Year of Quantum Science and Technology.
As the global race to build the first fully functional quantum computer continues, much of this focus is on developing quantum hardware platforms.
Dr Liming Zhu, Research Director at CSIRO’s Data61, lauded the work of the quantum research team and spoke to the importance of progressing practical applications for quantum technologies.
“CSIRO’s breakthrough not only builds confidence in the benefits of quantum machine learning but also serves as a guidepost. By identifying key application performance metrics and challenges, our work helps shape the trajectory of hardware and software innovation, bringing us closer to real-world demonstrations using quantum,” Dr Zhu said.
“UNESCO’s International Year of Quantum Science and Technology provides us with a great opportunity to promote the valuable work our scientists do as well as help others to better understand this complex field.
“Australia has been a world leader in quantum technology research and development for almost 30 years and this work adds to the pool of significant local innovations.”
The paper ‘Self-Adaptive Quantum Kernel Principal Component Analysis for Compact Readout of Chemiresistive Sensor Arrays’ was published in high-impact journal Advanced Science, and co-authored by three CSIRO quantum researchers: Dr Zeheng Wang, Dr Timothy van der Laan and Dr Muhammad Usman.
Learn more about CSIRO’s quantum research.
