Breaking the Sensitivity and Speed Barriers of Quantum Diamond Magnetic Microscopy for Semiconductor Failure Analysis

Wednesday, October 7, 2026: 10:40 AM
Dr. Samuel Mondberg , DiaSense ApS, Copenhagen, Capital Region, Denmark
Dr. Luis D. Bonavena , DiaSense ApS, Copenhagen, Capital Region, Denmark
Dr. Teresa K. Pfau , DiaSense ApS, Copenhagen, Capital Region, Denmark
Mr. Bjarne Schümann , DiaSense ApS, Copenhagen, Capital Region, Denmark
Prof. Alexander Huck , DiaSense ApS, Copenhagen, Capital Region, Denmark
Prof. Ulrik L. Andersen , DiaSense ApS, Copenhagen, Capital Region, Denmark
Dr. Christian D. Nielsen , DiaSense ApS, Copenhagen, Capital Region, Denmark
Dr. Marvin Holten , DiaSense ApS, Copenhagen, Capital Region, Denmark
Mr. Gilbert Rikkink , Eurofins MASER, Enschede, Overijssel, Netherlands
Mr. Thijs Kempers , Eurofins MASER, Enschede, Overijssel, Netherlands

Summary:

The semiconductor industry faces an accelerating diagnostic crisis. As chip architectures evolve toward 3D stacking, chiplets, and advanced packaging — with defect rate requirements in the parts-per-billion range — the limitations of conventional failure analysis tools have become a fundamental bottleneck. Techniques such as lock-in thermography (LIT), optical beam-induced resistance change (OBIRCH), and photon emission microscopy (PEM) are surface-sensitive, thermally indirect, or limited to optically accessible structures. They cannot reliably image weak or buried current paths in 2.5D/3D packages. Here, we present the first semiconductor failure analysis results from a Quantum Diamond Magnetic Microscope (QDMM) that goes beyond current state-of-the-art quantum sensing systems, achieving up to 1000× greater magnetic sensitivity. The system images current-induced magnetic fields non-invasively with nanotesla-range sensitivity — directly mapping electrical activity inside live, packaged devices. In collaboration with Eurofins MASER, a leading European failure analysis laboratory, we present initial benchmarking of QDMM against LIT, OBIRCH, and PEM on both purpose-designed calibration chips and real-world industrial samples. Our early results indicate that QDMM provides complementary and, in several fault categories, superior diagnostic capability — particularly for low-current, buried, and thermally silent faults invisible to conventional methods.