Quantum Metrology is pleased to present our proposal for Quantum NeuroSense—a portable, non-invasive device designed to read brain waves using advanced quantum sensing technology. Current technologies like conventional EEGs, fMRI and proposed NV-diamond magnetometry for biomedical systems are bulky and stationary, limiting practical use. Quantum NeuroSense overcomes these limitations by offering a portable, flexible device suitable for clinical and field use, capable of generating high-quality data for neuroscientific research and patient care. QM is developing this innovative device, which integrates nitrogen-vacancy (NV) diamond quantum magnetometry with our proprietary microwave resonant probe. This integration enables detection of subtle magnetic field changes associated with biological signals and simultaneous monitoring of biochemical changes, crucial for diagnosing and monitoring neurological disorders.

This device will be particularly useful for diagnosing and monitoring conditions such as epilepsy, sleep disorders, brain injuries, neurodegenerative diseases like Parkinson’s and Alzheimer’s, and for studying cognitive functions and mental health disorders.

Magnetic Resonance Imaging (MRI) is an indispensable tool for monitoring lipid-rich tissues and the musculoskeletal system. However, it requires maintaining a large homogeneous magnetic field, typically ranging from 1 to 7 Tesla. Superconductors are crucial for generating these fields, as they are the only feasible way to achieve the necessary magnetic strength. Current MRI technology primarily uses low critical temperature superconductors (LTS), which require cooling to liquid helium temperatures (4.2K). A compact portable MRI scanner designed for flexible use in various locations, including hospitals, clinics, and remote settings. It offers increased accessibility and point-of-care imaging, making it particularly useful for bedside neuroimaging, stroke diagnosis, and musculoskeletal imaging. These machines are cost-effective and have lower power requirements, although they typically produce lower-resolution images than traditional MRI systems. The ongoing development aims to improve image quality and expand diagnostic applications, making MRI diagnostics more accessible and versatile in the future.