Israeli deep tech startup QuamCore has officially emerged from stealth, announcing a $9 million seed funding round to propel its groundbreaking quantum computing innovations. The company has spent the past two years developing a patented superconducting quantum processor architecture that addresses the critical scalability challenges preventing practical quantum computing.
QuamCore’s breakthrough technology enables the integration of one million qubits into a single cryostat—a milestone previously deemed impossible. This innovation dramatically reduces the size, energy consumption, and cost of quantum computers, making large-scale quantum computing a realistic and commercially viable solution.
The fundamental challenge in building large-scale superconducting quantum computers lies in thermal management. Operating at near-absolute zero necessitates separating heat-generating control electronics from the quantum processor, leading to a crippling cabling bottleneck. Current state-of-the-art systems, like those from IBM and Google, are limited to approximately 5,000 qubits per cryostat, requiring massive, impractical infrastructures for scaling.
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QuamCore’s innovative technology represents a paradigm shift, dramatically reducing cabling by more than 1,000 times. This advancement paves the way for the first practical scaling to over 1 million qubits within a single, compact unit, revolutionizing the size and feasibility of quantum computing.
Founded in 2022, QuamCore is pioneering Massive Scaling in quantum computing, pushing the limits of what’s possible. The company’s patented superconducting quantum processor architecture enables fault-tolerant, scalable systems capable of managing millions of qubits. With an architecture-first approach, QuamCore is making large-scale, economically viable quantum computing a reality, unlocking real-world impact across industries.
CEO Alon Cohen, co-founder of the EyeC Radar Group at Mobileye (Intel), served as the chief architect and head of the EyeC Radar algorithm group, shaping it into a core technology for autonomous vehicle perception. He holds over 40 patents in radar, communication, and signal processing and was awarded Intel’s highest innovation honor, the Intel Oscar Prize, for his contributions.
CTO Prof. Shay Hacohen-Gourgy, a leading expert in superconducting quantum computing, has spent over 15 years pioneering experimental research in quantum information and solid-state physics. A professor at the Technion – Israel Institute of Technology, his groundbreaking work in superconducting circuits and quantum measurement has been published in top-tier journals, including Nature.
By unlocking unprecedented scalability, QuamCore’s technology paves the way for quantum computing applications across pharmaceuticals, artificial intelligence (AI), materials science, and energy. With this fresh funding, the company is set to accelerate its development and commercialization efforts, positioning itself at the forefront of the quantum computing revolution.
“The challenge in quantum computing isn’t just adding more qubits – it’s how you scale without hitting fundamental barriers,” said Alon Cohen, CEO of QuamCore. “From the outset, we understood that reaching 1 million qubits was the threshold for unlocking real-world value. But we also saw that this required a radical rethinking of quantum processor architecture. We explored multiple approaches and found a path that actually works – one that eliminates the core bottleneck preventing quantum computing from scaling.”
“To achieve this, we rethought everything – from transitioning to digital control, developing new superconducting devices, and redesigning the processor architecture from the ground up,” Cohen added. “The result is a breakthrough in power efficiency, overcoming a fundamental gap that has long prevented large-scale quantum computing. Today, we have a detailed blueprint for a 1-million-qubit quantum computer in a single cryostat, marking a clear, viable path toward practical large-scale quantum computing. Our design also incorporates built-in error correction, paving the way for fault-tolerant quantum systems.”
