Google Quantum AI has taken a major step forward in quantum computing with the introduction of its next-generation quantum chip, Willow . This breakthrough is notable for its superior performance across several key metrics and its ability to solve one of the most persistent problems in quantum computing: error correction.
What does the Willow quantum chip do?
Since its founding in 2012, Google Quantum AI has pursued a bold vision: to develop a large-scale quantum computer capable of solving problems that classical computers can’t tackle. With Willow, Google has demonstrated impressive progress toward that goal, dramatically reducing quantum errors as the number of qubits increases.
This landmark breakthrough, dubbed “ below-threshold ,” means it is possible to scale a quantum system without errors increasing exponentially, opening the door to useful quantum computers .
One of the most impressive tests performed with Willow was its ability to perform a calculation that would take one of today’s fastest supercomputers 10 septillion years to complete. In just five minutes, Willow solved a calculation that far exceeds the capabilities of classical machines . This performance demonstrates the ability of quantum computing to overcome the limitations of traditional systems and deliver much faster and more efficient solutions.
Google’s quantum chip Willow: 10 septillion years in 5 minutes. Source: Google Quantum AI
Quantum error correction is now possible!
Quantum error correction has been one of the biggest challenges in quantum computing. The more qubits that are used, the greater the likelihood that errors will occur and interfere with the calculation. However, Willow has managed to reduce the error rate exponentially as the number of qubits increases, a feat that has never been achieved before.
This breakthrough is critical to the large-scale viability of quantum computers and has been validated through tests in which qubit arrays achieved unprecedented levels of correctness.
In addition to its performance in standard tests, the Willow chip also has a direct impact on the future of practical quantum computing. With 105 high-quality qubits, the chip sets new standards for performance benchmarks, surpassing even the metrics of the previous generation of quantum chips . This progress has potential applications in key areas such as drug discovery, battery optimization for electric vehicles , and renewable energy.
Google’s quantum computing will solve real problems
Hartmut Neven, founder of Google Quantum AI, has highlighted that quantum computing not only has the potential to transform technology in its own right, but will also be crucial for advancing areas such as advanced AI.
Quantum computing’s ability to process massive amounts of data more efficiently will be essential for training complex learning architectures, modeling quantum systems, and solving real-world business problems. With open-source software and educational resources like the course on Coursera, Google is inviting researchers and developers to join this journey into the future of quantum technology.
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Source and photo: Google
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