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Willow: What are the key features of Google’s new quantum chip?

The new chip features 105 qubits, allowing for more complex computations and enhances the chip's overall performance
Willow: What are the key features of Google’s new quantum chip?
Willow utilizes a novel approach to create logical qubits by linking multiple physical qubits together.

Google has recently launched its latest quantum computing chip, named Willow, which represents a significant advancement in the field of quantum technology. This new chip is designed to tackle one of the most pressing challenges in quantum computing: error correction. With its innovative features and capabilities, Willow is poised to enhance the performance of quantum computers and pave the way for practical applications in various fields.

Key features of Willow

  • Increased qubit count: Willow boasts 105 qubits, an increase from its predecessor, Sycamore, which had 72 qubits. This expansion allows for more complex computations and enhances the chip’s overall performance. 
  • Error correction breakthrough: One of the standout features of Willow is its ability to reduce errors exponentially as it scales up. This achievement is crucial because qubits are notoriously prone to errors due to their sensitivity to environmental factors. Furthermore, Google’s researchers have developed a method to correct these errors in real time, a significant milestone in quantum error correction.
  • Performance benchmark: Willow has demonstrated its capabilities by performing a benchmark computation in under five minutes, a task that would take the fastest supercomputers approximately 10 septillion years to complete. This contrast further highlights the potential of quantum computing to solve problems that are currently intractable for classical computers. 
  • Logical qubits: The chip utilizes a novel approach to create logical qubits by linking multiple physical qubits together. This method allows for improved error rates, with logical qubits exhibiting a one-in-1,000 chance of error per computation cycle, compared to the significantly higher error rates of individual qubits. 
  • Scalability: Willow’s design demonstrates a critical concept in quantum computing known as “below threshold,” meaning that as more qubits are added, the system can correct errors faster than they occur. Moreover, this scalability is essential for building larger and more powerful quantum computers in the future. 

Google Willow

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Implications for quantum computing

The advancements represented by Willow are expected to have far-reaching implications for various industries. Google Quantum AI founder Hartmut Neven emphasized that achieving effective quantum error correction is a foundational step toward realizing practical quantum computing applications. Additionally, these applications could include breakthroughs in drug discovery, optimization problems, and advancements in artificial intelligence. 

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