Developing First-in-Class Diamond-based Quantum Microscopy for immediate semiconductor industry applications
QuantumDiamonds is developing a Super-resolution Quantum Imager for the semiconductor industry to achieve sub-100 nm imaging resolution and rapid diagnostics for chip defects, aiming for commercialization.
Projectdetails
Introduction
Semiconductors are an essential component of modern electronics. The miniaturization of semiconductors has been a key driver of technological innovation.
Challenges in Quality Control
However, as semiconductor technology continues to advance, the available quality control methods, such as thermal imaging or voltage alteration measurements, become insufficient.
Potential of Quantum Sensing
Diamond-based quantum sensing has the potential to answer the need for precise diagnostics of detecting magnetic field alterations caused by chip defects. However, available implementations suffer from a tradeoff between speed and imaging resolution.
Our Solution
At QuantumDiamonds, we overcome these challenges and developed a Super-resolution Quantum Imager (SQI) that combines advanced optical components with proprietary diamond production and software.
System Capabilities
Our system enables imaging at sub-100 nm resolution and fast measurement in the range of minutes.
Project Goals
In this project, we will test it with actors from the semiconductor industry and prepare our system for commercialization.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.475.229 |
Totale projectbegroting | € 3.536.042 |
Tijdlijn
Startdatum | 1-3-2024 |
Einddatum | 28-2-2027 |
Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- QUANTUMDIAMONDS GMBHpenvoerder
Land(en)
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A new cardioprotective drug for acute treatment of myocardial infarction
ResoTher aims to validate RTP-026, an immunomodulating therapy, to reduce heart damage and HF risk post-myocardial infarction through Phase II clinical studies.
Clear, scalable and scientific framework to measure terrestrial biodiversity
3Bee leverages IoT, wildlife monitoring, and satellite data to measure and regenerate biodiversity, generating certified Biodiversity Credits for corporations to enhance ESG reporting and brand value.
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Quside's Randomness Processing Unit (RPU) accelerates stochastic HPC and PQ cryptography by optimizing random workloads, enhancing efficiency and performance across various sectors.
Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
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Spins Interfaced with Light for Quantum Silicon technologiesThe SILEQS project aims to demonstrate indistinguishable single-photon emission and spin control from silicon defects to enable scalable quantum communication technologies. | ERC STG | € 1.500.000 | 2022 | Details |
Quantum Microwave Detection with Diamond SpinsQuMicro aims to develop advanced quantum microwave detection devices with ultrahigh sensitivity and resolution, enabling rapid measurements for diverse applications and commercial scalability. | EIC Pathfinder | € 2.914.056 | 2022 | Details |
Developing Multi-Core Silicon-Based Quantum ProcessorsThe project aims to develop a scalable FDSOI-based quantum processor demonstrator with a 4X4 multi-core architecture to bridge the gap between semiconductor techniques and quantum computing needs. | EIC Transition | € 2.440.870 | 2024 | Details |
Super-resolution microscopy for semiconductor metrologyThe MICROSEM project aims to develop a super-resolution microscopy technique using high-harmonic generation for sub-100 nm imaging in semiconductors, enhancing metrology without labeling. | ERC POC | € 150.000 | 2024 | Details |
Spins Interfaced with Light for Quantum Silicon technologies
The SILEQS project aims to demonstrate indistinguishable single-photon emission and spin control from silicon defects to enable scalable quantum communication technologies.
Quantum Microwave Detection with Diamond Spins
QuMicro aims to develop advanced quantum microwave detection devices with ultrahigh sensitivity and resolution, enabling rapid measurements for diverse applications and commercial scalability.
Developing Multi-Core Silicon-Based Quantum Processors
The project aims to develop a scalable FDSOI-based quantum processor demonstrator with a 4X4 multi-core architecture to bridge the gap between semiconductor techniques and quantum computing needs.
Super-resolution microscopy for semiconductor metrology
The MICROSEM project aims to develop a super-resolution microscopy technique using high-harmonic generation for sub-100 nm imaging in semiconductors, enhancing metrology without labeling.