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Start Learning Free📋About QuEra Computing
Updated June 19, 2026QuEra Computing is a quantum computing company headquartered in Boston, Massachusetts, founded as a spinout of academic research at Harvard and MIT. It is built on the work of physicists including Mikhail Lukin, Markus Greiner, and Vladan Vuletic. Rather than the superconducting-chip approach favored by several larger labs, QuEra pursues neutral-atom quantum computing, in which uncharged atoms are trapped and arranged in empty space by precisely focused laser beams known as optical tweezers. Because the qubits are positioned rather than fabricated, the layout is programmable and reconfigurable, and the architecture scales to large qubit counts more naturally than some competing technologies.
QuEra's flagship machine is Aquila, a 256-qubit neutral-atom system available to researchers and developers through Amazon's AWS Braket quantum cloud service. Its planned successor is Libra, a fault-tolerant system expected to arrive on AWS Braket by 2028. Fault tolerance — keeping a quantum computer working correctly even when individual qubits make errors — has been a central focus of the company's research, with demonstrations published in Nature, computations using up to 96 logical qubits, and the first logical magic-state distillation, a key ingredient for useful fault-tolerant computing.
The company is backed by a financing round of more than 230 million dollars co-led by Google and SoftBank, with NVIDIA's venture arm, NVentures, joining as an investor. A distinctive part of QuEra's work is its collaboration with NVIDIA on a Transformer-based AI decoder for quantum error correction — applying the neural network architecture behind large language models to the problem of reading error signals and choosing corrections in real time. It stands as one of the clearest examples of modern AI being used not as a product layered on top of hardware but as part of what makes advanced quantum hardware function.
🛠️Products & Tools (1)
Neutral-atom quantum computing (Aquila, 256 qubits on AWS Braket) with standout 2025 fault-tolerance results and a Transformer-based AI error decoder built with NVIDIA.
