Google has revealed a new quantum processor named “Willow” that solves a major physics problem: it makes calculations more reliable as it gets bigger. The company says this 105-qubit chip finished a complex benchmark test in under five minutes—a task that would take the world’s fastest conventional supercomputer an estimated 10 septillion years to complete.
This breakthrough targets the biggest hurdle in the field, which is quantum error correction. Usually, adding more power to a quantum system adds more noise, which ruins the data. Willow reverses this trend. The announcement caught the attention of Tesla CEO Elon Musk, who suggested putting these systems into orbit.
Willow reduces errors exponentially as it scales up
Quantum computers rely on qubits, which are far more powerful than the bits in a standard laptop but also much more fragile. A tiny vibration or temperature shift can cause a qubit to fail. For decades, scientists struggled with a stubborn problem: adding more qubits to a chip usually created more errors, not fewer.
Google researchers say Willow is the first chip to break this cycle. In a study published in the journal Nature, the team demonstrated that as they increased the number of qubits used for error correction, the error rate actually went down exponentially. This achievement is known as being “below threshold.” It means that for the first time, making the system larger makes it more accurate, not less. This stability is essential for building a fault-tolerant computer that can run useful programs without crashing.
A benchmark that takes 5 minutes instead of 10 septillion years
To prove the chip’s raw speed, Google used a test called Random Circuit Sampling (RCS). This is a standard benchmark designed to be incredibly hard for classical computers.
Willow completed the RCS calculation in less than five minutes. Google estimates that Frontier, currently the most powerful supercomputer in the world, would need 10 septillion (10^25) years to do the same work. This time scale is far longer than the age of the universe. While this specific benchmark does not yet solve a real-world business problem, it proves that the hardware has crossed a line where it can process information in ways that classical machines physically cannot match.
Practical uses range from nuclear fusion to medicine
The goal of this speed is not just to win benchmarks. CEO Sundar Pichai stated that Willow is a step toward practical applications that require simulating nature at the atomic level.
Because quantum chips behave like the atoms they simulate, they are uniquely suited for designing new chemicals and materials. Google plans to use future versions of this technology for drug discovery, where it could model how medicines interact with proteins. Other targets include designing better batteries and solving plasma physics problems to help make nuclear fusion a viable energy source.
Elon Musk calls for a quantum cluster in space
The announcement sparked a public exchange with Elon Musk on the social platform X. After Musk replied “Wow” to the news, Pichai suggested putting a quantum cluster in space using Musk’s Starship rocket.
Musk agreed that this “will probably happen,” linking the idea to the Kardashev scale, a method of measuring a civilization’s technological advancement. He noted that humanity needs to capture far more solar energy to advance to a “Type I” civilization. Running advanced computing in space could theoretically take advantage of the vacuum and low temperatures, which are friendly conditions for delicate quantum hardware.
What you can do about it
For now, this technology is still in the research phase. You cannot buy a Willow chip for your home. However, the breakthrough in error correction means that quantum computing is moving from theory to engineering. If you work in fields like data science, chemistry, or logistics, it is worth watching how cloud-based quantum services evolve over the next few years. Keeping an eye on these tools now will help you understand how they might reshape your industry later.
Sources & related information
Nature – Quantum error correction below the surface code threshold – 2024
Google Quantum AI researchers demonstrated that logical error rates can be suppressed exponentially by scaling the code distance on the Willow processor.
Google Quantum AI – Making quantum error correction work – 2024
The research team details how the Willow chip reduces errors in real-time, a necessary step for fault-tolerant computing.
Fox Business – Google impresses Elon Musk with new ‘breakthrough’ chip – 2024
Reports on the public interaction between Sundar Pichai and Elon Musk regarding the potential for space-based quantum computing.
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