Analysis
Oratomic, a quantum computing startup spun out of Caltech physics research, raised a $300 million Series A led by ARCH Venture Partners, Spark Capital and Khosla Ventures, with Bezos Expeditions, Index Ventures, General Catalyst, Lowercarbon Capital and Bain Capital also participating. The size of the round -- and the roster of backers -- is notable for a company whose founders say they only decided to start it this year.
The company's approach uses lasers as optical tweezers to hold individual atoms in place, an architecture aimed at quantum computing's central engineering problem: error correction. Qubits are extremely sensitive to noise, and most approaches require enormous numbers of physical qubits to produce a smaller number of reliable, error-corrected logical qubits. Oratomic's pitch is that a recent breakthrough in its atom-trapping approach lets it target a utility-scale, error-corrected machine using roughly 10,000 to 20,000 physical qubits -- an order of magnitude fewer than the roughly one million qubits PsiQuantum, a $7 billion-valued rival, has said its photonic approach will require.
“Oratomic says it's aiming to deliver its first utility-scale quantum computer before the end of the decade.”
"Only when we made this recent breakthrough did we simultaneously all change our minds" about starting a company, said co-founder and CEO Dolev Bluvstein, describing a founding team of Caltech physicists who moved from lab research to a fully funded startup in the same year. Khosla Ventures partner Vinod Khosla, whose firm co-led the round, called it his firm's "largest initial investment yet" -- a striking statement from an investor known for backing capital-intensive deep-tech bets.
The round lands as venture capital increasingly treats quantum computing as a distinct, well-capitalized category rather than a speculative side bet adjacent to the AI buildout. Multiple quantum startups have raised nine-figure rounds and pursued public listings over the past year, even as the technology remains years away from broad commercial deployment. Oratomic's specific claim -- that its qubit-efficiency approach could compress the timeline to a genuinely useful machine -- will be tested against well-funded rivals pursuing superconducting, trapped-ion and photonic architectures, each with different qubit-count and error-correction trade-offs.
Oratomic says it's aiming to deliver its first utility-scale quantum computer before the end of the decade. For LPs and deep-tech investors, the round is a reminder that quantum computing valuations are starting to move on the same kind of technical-breakthrough narrative that has driven AI infrastructure rounds -- with similarly long timelines to revenue and similarly high burn rates in the meantime.
