Quantum Precision Meets Industrial Scale: EuQlid and iPronics Drive Next-Generation 3D Imaging and Flexible Hardware Solutions
Significant funding announcements and the introduction of cutting-edge hardware solutions have signaled the continued rapid advancement of quantum technology from the lab to industrial application. Recently, EuQlid, a quantum technology startup, addressed a critical gap in advanced manufacturing metrology by launching from stealth mode with their Qu-MRI Quantum Sensing Platform, which is intended for 3D semiconductor and battery flaw detection.
In addition to claiming over 1.5 million in early client revenue, EuQlid obtained $3 million in seed and investment, lead by QDNL Partnerships with Quantitation participating. The goal of this funding is to hasten the company’s innovative 3D imaging solution’s commercialization for usage in batteries and semiconductors.
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EuQlid’s Qu-MRI Platform: Seeing the Unseen
Qu-MRI, the business’s in-house quantum imaging platform, is a cutting-edge solution created by fusing quantum magnetometry with sophisticated signal processing and machine learning. Without requiring physical contact or harmful cross-sectioning, this platform allows for the high throughput, non-destructive mapping of subsurface current flow with nano-amp sensitivity.
This feature is especially important since it fills a significant gap in the energy storage and semiconductor sectors by allowing visibility into subsurface current flow that is inaccessible to modern inspection instruments. EuQlid‘s technology capitalizes on a global market for advanced metrology instruments that exceeds $10 billion yearly by providing “quantum precision” to both high-volume industrial environments and research and development labs.
Applications for the Qu-MRI platform are numerous and include identifying connection problems in high-bandwidth memory manufacture as well as the spatial study of power flows within operational devices such as CPUs and GPUs.
By non-invasively visualizing subsurface connection flaws, Qu-MRI fills a fundamental technological need for the design and production of next-generation semiconductors, according to Imec, a top research and development organization for semiconductor fabrication. Given the growing demand for AI and advanced computing, which necessitate complex 3D structures, the platform seeks to speed innovation, boost yields, and optimize manufacturing workflows.
A group of engineers and scientists from Harvard, Yale, and the University of Maryland who combined knowledge in quantum sensing, atomic physics, and the semiconductor industry established EuQlid. The company’s first product, the Quantum Diamond Microscope (QDM), which has already been shipped all over the world for use in bioimaging and geosciences, serves as the basis for the Qu-MRI platform.
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Flexibility and Adaptation in Quantum Hardware
Flexibility in product design is essential given the hardware industry’s rapid progress and correspondingly high costs, especially in the fields of quantum computing and quantum information science (QIS). Flexibility is crucial in this competitive economic climate, particularly in light of the expenses related to producing product lines and the worry over sometimes narrow profit margins. Making a general-purpose product instead of a task-specific one a “one-trick pony” is sometimes viewed as a good way to reduce risk and maybe cut expenses.
This adaptable method in integrated photonics is being pioneered by iPronics, a Valencia, Spain-based business. Using Field-Programmable Photonic Gate Arrays (FPPGAs), iPronics, a spinoff from researchers at the Photonics Research Labs, iTEAM Research Institute, Universitat Politècnica de València (UPV), was established in early 2020 and is developing flexible solutions.
The core cost benefit that comes from repeatedly producing the same hardware architecture is the foundation of iPronics’ value offer. Numerous domains, including as optical communications, sensing, microwave photonics, and general linear processing for both conventional and quantum applications, could benefit from this technology.
Ivana Gasulla (CIO), who has a Ph.D. in telecommunications and was a postdoctoral Fulbright fellow at Stanford University’s Ginzton Laboratory, is part of the team behind iPronics. COO Jose Capmany co-founded VLC Photonics and holds two Ph.D.s. He is a professor of photonics and optical communications at UPV. CTO Daniel Pérez López was formerly employed at silicon quantum photonic chip pioneer Xanadu. Prometheus DasMahapatra, the chief product officer, has experience from ASML, a global leader in the semiconductor sector.
Shortly after its establishment, iPronics attracted notice when it was chosen as one “to watch” in the first Spinoff Prize, which was supported by Nature Research and the global pharmaceutical corporation Merck in Germany. Additionally, the Valencian Institute of Business Competitiveness (IVACE) awarded them a grant for the 2020–2021 SMARTLIGHT project.
iPronics is preparing to become a prominent player in the field of “software-defined optical hardware capable of performing multiple tasks,” a technology that has the potential to revolutionize QIS and QC, with its team firmly established.
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Broader Quantum Industry Momentum
The development of flexible hardware suppliers such as iPronics and the appearance of EuQlid take place against the backdrop of the quantum industry’s continued growth. Recent announcements include the DOE’s $625 million commitment to renew five National Quantum Information Science Research Centres, the release of platforms on AWS Marketplace by companies like Classiq, and important partnerships like those between PsiQuantum and Lockheed Martin, STV, and Post-Quantum. These advancements demonstrate how quantum computing, an emerging technology that is influencing numerous industries, uses the laws of quantum physics to execute intricate computations much quicker than conventional computers.
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