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Google Quantum AI & Atlantic Quantum Team Up to Advance Quantum Computing

Google Quantum AI partners with Atlantic Quantum to revolutionize quantum computing. The collaboration could accelerate drug discovery and improve materials science.

In this image we can see a board with something written. Near to the board there are markers. There...
In this image we can see a board with something written. Near to the board there are markers. There is a duster. In the back there is a wall. On the right side there is a qr code.

Google Quantum AI & Atlantic Quantum Team Up to Advance Quantum Computing

Google Quantum AI, established in 2012, is teaming up with MIT-founded startup Atlantic Quantum to advance quantum computing. The collaboration could revolutionize fields like drug discovery and materials science.

Atlantic Quantum, known for its modular chip architecture, integrates qubits with superconducting control electronics on a single canvas. This design allows for rapid iteration and improved signal fidelity, making it easier to build larger qubit arrays.

Google, aiming to reduce error rates and increase qubit connectivity, is adopting Atlantic Quantum's technology to accelerate the deployment of these larger arrays. The Willow chip, a superconducting platform, has already demonstrated higher qubit counts and improved coherence times, thanks to this collaboration.

Superconducting qubits, while sensitive to noise, can be carefully controlled and integrated with classical electronics using Atlantic Quantum's design. This integration is crucial for practical quantum computers that can solve complex problems beyond the reach of classical machines.

The partnership between Google Quantum AI and Atlantic Quantum is set to accelerate the development of practical quantum computers. By combining Atlantic Quantum's modular design with Google's expertise in reducing error rates and increasing qubit connectivity, the two companies aim to make significant strides in quantum computing. This progress could have substantial societal implications, such as accelerating drug discovery and improving materials science.

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