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Oratomic raises $300M to develop utility-scale quantum computer with fewer qubits
Key points
- Oratomic raised $300 million in Series A funding.
- Aims to develop a quantum computer by end of the decade.
- Requires only 10,000 to 20,000 qubits for effective error correction.
Funding Announcement
Oratomic has announced the completion of a $300 million Series A funding round.
The funding was co-led by ARCH Venture Partners, Spark Capital, and Khosla Ventures, with various other notable investors participating.
Focus on Quantum Computing
Founded by physicists from Caltech, Oratomic aims to create the first utility-scale quantum computer by the end of the decade.
Their approach involves using lasers as optical tweezers to hold individual atoms, which has proven effective for quantum computing.
Reduction in Needed Qubits
Oratomic's breakthrough allows for efficient error correction with significantly fewer qubits compared to existing architectures.
The startup requires around 10,000 to 20,000 qubits, a stark contrast to other companies pursuing larger-scale systems.
Market Position
Unlike many competitors, Oratomic does not plan to develop systems for noisy intermediate-scale quantum (NISQ) applications.
This differentiates them from companies like PsiQuantum, which has established a valuation of $7 billion and aims for a million-qubit computer.
Implications of Quantum Computing
A full-scale quantum computer from Oratomic could enable significant advancements across industries, including biotech, chemistry, logistics, and AI.
The growing interest from investors in quantum technologies indicates a promising future for this sector.
✨ This summary was generated by AI from the outlets' reporting listed below. It is not independently verified and may contain errors — check the original sources. How BrevFeed works →
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Reporting from
Oratomic has secured $300 million in a Series A funding round to develop a utility-scale quantum computer, aiming to complete it by the end of the decade. The company plans to use an innovative approach that requires only 10,000 to 20,000 qubits for effective error correction, significantly fewer than other competitors. This development could accelerate the commercialization of quantum computing technologies across various fields.