Airborne Total Magnetic Intensity (TMI) data is the most used and cost-effective surveying method for identifying intrusions which can host critical mineral deposits. Although there is incredible value in TMI data there are challenges with data interpretation. Full tensor magnetic gradiometry (FTMG), which measures the full magnetic gradient tensor at each measurement point, overcomes many of the limitations and offers the potential to provide improved discrimination of magnetic sources and a more complete picture of the subsurface magnetic properties. Commercialized quantum FTMG sensors currently use Superconducting Quantum Interference Device (SQUID) technology and are most appropriate for airborne surveys. With SQUID sensors being unsuitable for ground and uncrewed aerial vehicle (UAV) surveys a new generation of compact, diamond-based quantum magnetometers are in development and offer an alternative and accessible FTMG technology. Although quantum FTMG offers the opportunity for improved targeting of ore deposits, its widespread adoption by the mining industry has been hindered, in part, by a lack of expertise in data handling and interpretation. The Geological Survey of Canda with Defense Research and Development Canada, aim to de-risk quantum sensor use, through the field testing and validation of quantum FTMG systems and comparing them with traditional magnetic systems. Here we present and compare TMI and SQUID FTMG data for a critical mineral deposit with a complex magnetic signature. Unconstrained and constrained inversions are presented to examine the 3D geometry and extent of the mineralized intrusions and to directly compare the different surveying techniques.