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Google Quantum AI

80
ResearchSanta Barbara, United StatesEst. 2013
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105
Physical Qubits
1
Logical Qubits
99.88%
2Q Fidelity
Superconducting
Qubit Tech
2013
Founded

About

Google Quantum AI operates two complementary quantum hardware platforms. The first is its superconducting platform, built around Willow, a 105-qubit processor released in December 2024 and Google's flagship. Willow achieved the first below-threshold quantum error correction using the surface code, demonstrating 1 logical qubit and 99.88% two-qubit gate fidelity. It solved a benchmark problem in 5 minutes that would take a classical supercomputer 10 septillion years. Google targets fault-tolerant quantum computing by roughly 2029. The second is a neutral-atom platform announced in March 2026. Professor Adam Kaufman of JILA and CU Boulder leads a new team in Boulder, Colorado developing neutral-atom quantum computing across three areas: quantum error correction for atomic arrays, modeling and simulation, and experimental hardware. Neutral atoms offer near-unlimited scaling of qubit count, complementing Willow's strengths in circuit depth and gate speed. Google's dual-modality strategy is one of the first by a major quantum hardware company. Google has also produced a series of research results. In October 2025 it published the Quantum Echoes algorithm in Nature, demonstrating the first verifiable quantum advantage on actual hardware, running 13,000 times faster than the best classical algorithm on the out-of-time-order correlator problem on Willow, with implications for drug discovery through molecular behavior modeling. In 2025, Google achieved 99.99% magic state fidelity, a 40-fold improvement that reduces the overhead for fault-tolerant computation. In March 2026 it reported a 20-fold reduction in the resources needed to break current cryptographic standards, reinforcing a 2029 target for post-quantum cryptography migration. In October 2025, Google acquired Atlantic Quantum for its fluxonium expertise and embedded cryogenic control technology. In August 2025, Google Quantum AI published research on hexagonal qubit grid surface codes (arXiv:2508.08116), demonstr

Quantum Specifications

Qubit TechnologySuperconducting
Physical Qubits105
Logical Qubits1
2Q Gate Fidelity99.88%
Error CorrectionSurface-code
Quantum Focushardware
Physical Qubits105
Logical Qubits1
2-Qubit Gate Fidelity99.88%

Key People

HN
Hartmut Neven
Founder

Backed By

Lakestar
Lightspeed Venture Partners
Quantum Coast Capital
Type One Ventures
Trumpf Venture
Gic Government Of Singapore Investment Corporation
Hercules Capital
Inven Capital

Application Areas

Drug discoveryMaterials scienceOptimization

Research Partners

Brown UniversityCaltechHarvard

Frequently Asked Questions

Google Quantum AI operates two complementary quantum hardware platforms. The first is its superconducting platform, built around Willow, a 105-qubit processor released in December 2024 and Google's flagship. Willow achieved the first below-threshold quantum error correction using the surface code, demonstrating 1 logical qubit and 99.88% two-qubit gate fidelity. It solved a benchmark problem in 5 minutes that would take a classical supercomputer 10 septillion years. Google targets fault-tole...
Google Quantum AI is headquartered in Santa Barbara, United States.
Google Quantum AI was founded in 2013.
Google Quantum AI works with Superconducting quantum technology.
Google Quantum AI has 105 physical qubits and 1 logical qubits.
Google Quantum AI operates in the following sectors: superconducting qubits, quantum processors, quantum hardware, quantum algorithms, quantum simulation.
Google Quantum AI reports a two-qubit gate fidelity of 99.88%, a key measure of how accurately its quantum hardware performs entangling operations.