QuEra Computing

Overview

QuEra Computing commercializes neutral atom quantum computing research from Harvard University and the Massachusetts Institute of Technology. Its machines trap rubidium atoms in arrays of laser tweezers and use light to make them interact. The company's early analog processor, Aquila, was among the first neutral atom machines available through the cloud, and its newer Gemini systems add digital gate-based operation.

The company has raised more than 250 million dollars, including a 230 million dollar Series B in 2025 with participation from Google, SoftBank, and Nvidia's venture arm. It has about 200 employees, nearly half with doctorates.

History and background

QuEra was founded in 2018 around research by Harvard and MIT scientists including Mikhail Lukin, Markus Greiner, and Vladan Vuletić, who led some of the first experiments to build large programmable arrays of Rydberg atoms. Aquila, a 256-qubit analog machine, became available on Amazon Braket in 2022.

A turning point came in December 2023, when a Harvard-led team with QuEra and MIT reported 48 logical qubits on a neutral atom processor, followed by further peer-reviewed work on continuous operation of thousands of atoms and on a fault-tolerant architecture design. In 2025 QuEra delivered Gemini-class systems to Japan's National Institute of Advanced Industrial Science and Technology (AIST) and to the UK's National Quantum Computing Centre, among the first neutral atom machines installed outside the company's labs. Andy Ory, who joined as interim CEO, now leads the company.

How the technology works

A neutral atom qubit uses two internal energy states of an atom, which makes every qubit identical. The atoms are cooled by lasers and caught in optical tweezers, then rearranged into any desired pattern. When a laser excites a pair of nearby atoms into Rydberg states they interact strongly, allowing fast entangling gates. Because the atoms are physically movable, the machine can change which qubits are neighbors during a computation.

QuEra's research direction is to use that mobility for error correction. Atoms can be shuttled into groups called logical qubits, and many atoms can be controlled in parallel with a single laser, which cuts the number of control lines. Published demonstrations include logical qubits with error rates lower than their physical constituents, magic-state distillation, and a reported end-to-end fault-tolerant architecture with up to 96 logical qubits described in a 2025 Nature paper. Results of this kind come from academic collaborations as much as from QuEra itself.

The company's public roadmap calls for a megaquop-class system, called Libra, in 2028, with availability through Amazon Braket, and a gigaquop-class system around 2028 to 2029 with more than 1,000 logical qubits and a logical error rate near one in a billion. A megaquop is a million reliable operations, a gigaquop a billion. These are goals and depend on large improvements in atom number, speed, and error rates.

Products and platforms

Processors in our Hardware Database

• QuEra Aquila — 256 qubits, released 2022

Key milestones

Strengths and challenges

Strengths

• A strong academic pedigree and close ties to some of the field's leading error-correction research.
• Neutral atom arrays that scale in atom count and can be reconfigured.
• Installed systems in Japan and the UK, and a hybrid HPC approach.
• Investors including Google, SoftBank, and Nvidia's venture arm.

Challenges and open questions

• Gate fidelities and speed are still behind the best trapped-ion systems, and each shot takes longer than on superconducting machines.
• Atom loss limits long-running computations, though continuous reloading research addresses it.
• The 2028 to 2029 megaquop and gigaquop targets require steep engineering progress.
• Competition from Pasqal, Atom Computing, Infleqtion, and others is intense.

Why it matters

QuEra shows how quickly neutral atoms have moved from physics experiments to products. Many of the most-cited logical-qubit demonstrations of the past few years came from collaborations in which QuEra hardware played a part, and the company is one of the main contenders in the race to deliver error-corrected machines.

The Aquila processor is also one of the easiest real quantum computers to reach for a student or researcher through Amazon Braket, which makes QuEra practically relevant to learners as well as to investors.

Latest news

• QuEra and HPE plan on-premises quantum systems for high-performance computing centers — September 2026
• Zapata Quantum and QuEra announce a partnership on quantum application development — August 2026
• QuEra announces a fault-tolerant roadmap with a megaquop-class system in 2028 and a gigaquop-class system in 2028 to 2029 — 2026
• NERSC invites research proposals on QuEra's Aquila and Gemini systems — February 2026

Frequently asked questions

This profile is written for educational purposes and summarizes public announcements, company filings, and published research. Last reviewed: September 30, 2026. It is not investment advice. Check the company's official channels for the latest figures and claims.

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