German hardware developer QuantumDiamonds GmbH (QD) executed a dual-track market expansion in February 2026, securing a specialized academic engineering alliance in Europe and establishing a strategic commercial channel into the East Asian memory semiconductor cluster. The Munich-based company formalized a technical diagnostic partnership with the Technical University of Munich (TUM) to optimize quantum nitrogen-vacancy (NV) metrology for advanced artificial intelligence chips. Concurrently, QuantumDiamonds executed a Memorandum of Understanding (MoU) with Woowon Technologies Co., Ltd. at SEMICON Korea 2026 to distribute its non-destructive 3D magnetic current imaging machinery across South Korea’s high-bandwidth memory (HBM) and packaging foundries.

                         [ QuantumDiamonds February 2026 Expansion Matrix ]
  Academic Initiative ──► Failure analysis optimization with TUM's MACHT-AI Center.
  Core Target Vector  ──► Design-for-diagnosis (DfD) and verification of high-density AI accelerators.
  Commercial Channel  ──► Distribution and technical service MoU with Woowon Technologies (South Korea).
  Hardware Baseline   ──► Commercial shipment of QD m.1 widefield nanoscale current microscopes.

TUM Academic Alliance: Design-for-Diagnosis in Advanced AI Processors

The academic alliance links QuantumDiamonds with Prof. Dr. Hussam Amrouch, Chair of AI Processor Design at TUM and Founding Director of the Munich Advanced-Technology Center for High-Tech AI Chips (MACHT-AI). The joint research program centers on adapting widefield quantum diamond microscopes (QDMs) to the unique architecture of modern deep-learning hardware. As sub-nanometer node AI accelerators increasingly deploy heterogeneous integration, chiplet layouts, and multi-layer vertical stacking, traditional thermal or optical emission microscopes fail to pinpoint internal failures due to physical layer occlusion and severe spatial resolution limits.

The collaborative roadmap addresses these bottlenecks by implementing non-invasive Design-for-Diagnosis (DfD) workflows. QuantumDiamonds’ QDM platform leverages the spin-dependent fluorescence of sub-surface nitrogen-vacancy centers in synthetic diamond substrates to map widefield magnetic field vectors directly above active silicon. By capturing precise magnetic variations, the platform reconstructs high-resolution, 2D and 3D current density profiles through deep, buried layers of the device under test. This allows engineering teams to non-destructively visualize current flow inside ultra-efficient CMOS systems, enabling the fast debugging, validation, and reliability testing of complex AI accelerator topologies during pre-shipment qualification cycles.

Woowon Technologies MoU: Penetrating the South Korean HBM Supply Chain

To secure immediate market access within the East Asian memory hardware ecosystem, QuantumDiamonds entered into a strategic distribution and customer validation framework with Seoul-based Woowon Technologies. Finalized on the floor of the SEMICON Korea convention, the agreement positions Woowon to manage localized customer evaluation loops, technical maintenance, and deployment logistics for tier-1 South Korean electronics conglomerates, including memory and HBM leaders Samsung Electronics and SK Hynix.

The distribution push coincides with the market introduction of the QD m.1 inspection system, which began active customer shipments in the first quarter of 2026. Representing a major upgrade over the company’s initial QD m.0 prototype, the QD m.1 integrates automated machine learning algorithms to optimize signal sampling intervals, resulting in a dramatic reduction in spatial measurement times. The tool achieves micron-level accuracy when diagnosing open-circuits, parasitic resistance channels, sub-surface bubbles, and micro-shorts inside complex 3D-stacked packaging layouts and wide-bandgap power semiconductors. By pairing QuantumDiamonds’ hardware with Woowon’s established regional network, the partnership shortens tool qualification cycles for foundries managing critical yield thresholds across 6th-generation HBM (HBM4) and high-density DRAM production lines.

The official academic collaboration files and AI chip failure analysis parameters can be reviewed here, while the commercial distribution frameworks and East Asian deployment roadmaps can be tracked here. Regional media profiles, hardware delivery timelines, and executive engineering transcripts regarding the QD m.1 microscopic system can be audited via the localized press registry here.

Jult 9, 2026

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