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Google’s new quantum chip is 1.05 million septillion times faster than today’s fastest supercomputers
- Google has developed a quantum chip that incorporates 105 qubits capable of performing tasks in under five minutes that would take today’s fastest supercomputers 10 septillion years – equivalent to over one million septillion times faster.
- The Willow chip is designed for quantum error correction and is capable of extending into a 7x7 grid while still halving the error rate with each expansion. The system also outlives and corrects physical qubit errors, which allows the technology to integrate a high degree of error correction.
- The chip successfully completed a test of quantum systems’ random circuit sampling (RCS) benchmark, assessing whether a quantum computer can perform tasks impossible for classical systems.
- The implications for quantum computing are significant, bringing the dream of running large scale algorithms closer to commercial application. This offers new frontiers for both science and industry.
- The next milestone is to achieve beyond classical computer computation relevant to real-world applications, where quantum systems have strong potential in drug discovery, material science, energy, climate change mitigation, artificial intelligence and more.
- The Willow chip is a promising foundation for further research and development in the quantum computing field. The development of software and educational resources have been made available for open-source exploration of this evolving field.
- The chip incorporates 105 qubits of the highest quality performance across key benchmarks including quantum error correction and random circuit sampling.
- Researchers and developers are invited to explore the Willow chip and quantum computing field boldly to contribute to the drive toward transformative applications in quantum computing.
- Quantum computing's potential spans various domains including drug discovery, material science, and energy. By improving memory, computational costs could drop significantly.
- Quantum computing's ability to solve complex problems could amplify the potential of AI by accessing quantum algorithms that optimise learning architectures and model quantum effects that could create efficient resource allocation and climate change solutions.
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