QuEra Computing Inc.
| Company type | Private |
|---|---|
| Industry | Quantum computing |
| Founded | 2018 |
| Founder | Mikhail Lukin, Vladan Vuletić, Markus Greiner, Dirk Englund, Nathan Gemelke, John Pena |
| Headquarters | Boston , United States |
| Products | Quantum computers using neutral atoms, quantum simulation software |
QuEra Computing Inc. is a quantum technology firm headquartered in Boston, Massachusetts. The company specializes in building quantum computers that utilize neutral atoms, drawing upon scientific advancements from Harvard University and MIT. Additionally, QuEra develops software designed to simulate Rydberg atom configurations and address Combinatorial Optimization challenges.
Their primary research interests include Condensed Matter Physics and combinatorial optimization, employing neutral atom platforms to push forward the capabilities of quantum computing.
History
Established in 2018, QuEra Computing was co-founded by Mikhail Lukin, Vladan Vuletić, Markus Greiner, Dirk Englund, Nathan Gemelke, and John Pena.
The groundwork for manipulating neutral atoms began in 2015 through collaborative efforts at Harvard and MIT, culminating in a 51-qubit system and subsequently a 256-qubit device.
On October 24, 2024, the Massachusetts Green High Performance Computing Center revealed plans for a $16 million expansion aimed at creating a dedicated quantum computing facility in partnership with QuEra.
In September 2025, QuEra raised $230 million during its Series B financing round, with investments from NVentures and Google, to expedite the development of fault-tolerant neutral atom quantum processors.
Technology
QuEra’s quantum processors employ neutral Rubidium atoms as qubits, which are manipulated and confined using laser technology.
The company introduced its 256-qubit system named Aquila on November 1, 2022, making it accessible via the Amazon Braket cloud platform.
Their technology supports an analog computing approach that exploits Rydberg blockade phenomena and precise atom arrangement to generate superposition and entanglement. This analog mode facilitates solving optimization tasks such as the Maximum Weight Independent set (graph theory) (MWIS), with ongoing efforts to translate additional problems into MWIS formulations.
Future plans include launching a hybrid analog-digital quantum computer shortly, followed by the development of a fully digital gate-model quantum device.