Insider Brief
- ORCA Computing and ST Engineering have partnered to develop quantum machine learning–based cyber anomaly detection for next-generation security applications.
- The collaboration applies quantum-enhanced models on ORCA’s photonic processors to identify subtle malicious patterns across intrusion detection, data exfiltration, and large-scale network monitoring.
- ST Engineering will evaluate and expand quantum cybersecurity use cases over time, aiming to move quantum-accelerated threat detection toward operational deployment.
PRESS RELEASE — ORCA Computing, a leading quantum computing company, today announced a collaboration with ST Engineering to advance cybersecurity outcomes by applying quantum technology to threat detection. The project focuses on developing cyber anomaly detection using quantum machine learning (QML), a next-generation approach to identifying and mitigating malicious activity in complex digital environments.
As cyber threats grow in frequency and sophistication, traditional detection methods face increasing limitations in processing the scale and complexity of real-world data. This collaboration leverages ORCA’s photonic quantum processors, enabling ST Engineering to deploy quantum-accelerated anomaly detection models that can identify subtle patterns of malicious behavior that would otherwise be missed by classical systems.
The algorithm development applies quantum-enhanced machine learning and optimization techniques to cybersecurity scenarios such as intrusion detection, data exfiltration prevention, and real-time monitoring of large-scale networks. Running these applications on ORCA’s PT Series photonic quantum systems will potentially shorten timelines for industrial relevance, moving quantum cybersecurity from theoretical concept to operational reality.
“Our collaboration with ST Engineering highlights how quantum acceleration is already being applied to practical, high-value use cases,” said Richard Murray, PhD, Co-founder and CEO of ORCA Computing. “By combining ORCA’s photonic quantum processors with ST Engineering’s deep cybersecurity expertise, we are laying the groundwork for scalable, deployable and commercially relevant quantum solutions in anomaly detection and beyond.”
“At ST Engineering, we are committed to staying ahead of evolving cyber threats by advancing next-generation security technologies. We will initially evaluate quantum machine learning algorithms for detecting anomalies across diverse datasets and network architectures. Over time, we anticipate expanding quantum applications into broader security domains, reinforcing resilience in critical infrastructure, transportation, and defense systems,” said Vrizlynn Thing, Senior Vice President and Head of the Cybersecurity Strategic Technology Centre at ST Engineering.
ORCA Computing’s partnership with ST Engineering, demonstrates how real-world use cases in machine learning and optimization are accelerating the timeline for quantum industrial relevance, and driving next-generation cybersecurity solutions closer to real-world deployment.
