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title: Google's Willow Chip Reaches Computational Capacity Milestone
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[Home](https://www.storagereview.com/) » [News](https://www.storagereview.com/news) » Google’s Willow Chip Reaches Computational Capacity Milestone
# Google’s Willow Chip Reaches Computational Capacity Milestone
by Harold Fritts on December 10, 2024
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Google has introduced a groundbreaking quantum computer prototype that marks a significant milestone in computational capability. This new machine achieves what current supercomputers would require ten septillion years—an incomprehensibly vast period exceeding the universe’s age—to compute, completing the task in a mere five minutes. This advancement, announced Monday, is powered by “Willow,” Google’s latest quantum computing chip.
### Willow: Doubling the Qubit Count
The Willow chip represents a leap forward in quantum computing by doubling the number of qubits, or quantum bits, compared to its predecessor, Sycamore. This increase in qubit count has enabled significant progress in reducing quantum computing errors. Error reduction is critical to transitioning quantum computers from theoretical constructs to practical devices that can revolutionize scientific research and discovery.
| Willow System Metrics
| |
| --- | --- |
| Number of qubits | 105 |
| Average connectivity | 3.47(4-way typical) |
| Quantum Error Correction (Chip 1)
| |
| Single-qubit gate error’ (mean, simultaneous) | 0.035% ‡ 0.029% |
| Two-qubit gate error’ (mean, simultaneous) | 0.33% $ 0.18%(CZ) |
| Measurement error (mean, simultaneous) | 0.77% ‡ 0.21%(repetitive, measure qubits) |
| Reset options | Multi-level reset (1) state and above)Leakage removal (12) state only) |
| T, time(mean) | 68 us = 13 us? |
| Error correction cycles per second | 909,000(surface code cycle = 1.1 us) |
| Application performance | ^3,57 = 2.14 $ 0.02 |
| Random Circuit Sampling (Chip 2)
| |
| Single-qubit gate error’ (mean, simultaneous) | 0.036% ÷ 0.013% |
| Two-qubit gate error’ (mean, simultaneous) | 0.14% + 0.052%(iswap-like) |
| Measurement error (mean, simultaneous) | 0.67% + 0.51% (terminal, all qubits) |
| Reset options | Multi-level reset (11) state and above)Leakage removal (2) state only) |
| T, time (mean) | 98 us + 32 us |
| Circuit repetitions per second | 63,000 |
| Application performance | XEB fidelity depth 40 = 0.1% |
| Estimated time on Willow vs. classical supercomputer | 5 minutes vs. 1025 years |
### Understanding Quantum Computers
Quantum computers differ fundamentally from the classical computers used daily. While classical computers process information using transistors that toggle between “1” and “0,” quantum computers rely on subatomic particles manipulated into quantum states. These particles, known as qubits, leverage two key principles of quantum mechanics:
1. **Superposition**: Qubits can exist in multiple states simultaneously rather than being confined to binary values. This allows quantum computers to perform types of calculations that are impractical for classical systems. Google validated this capability using the “Random Sampling Circuit” benchmark test, demonstrating the superior speed of its quantum computer.
2. **Entanglement**: Qubits can become interlinked so that the state of one directly influences the state of another, regardless of distance. Although the exact mechanism behind entanglement remains a mystery, its effectiveness in quantum computing is well-documented. Albert Einstein famously called this phenomenon ‘spooky action at a distance.’
### Addressing the Error Challenge
Despite their immense potential, quantum computers face significant challenges due to error rates. Qubits are highly sensitive and prone to interference from even minute disruptions, such as cosmic rays. Observing a qubit directly collapses its quantum state, turning it into a classical bit and negating its quantum properties. Consequently, error correction in quantum systems requires indirect observation through other qubits.
As quantum computers increase in size, error rates have historically escalated, creating a bottleneck for scaling these systems. However, Google’s Quantum AI division has developed an innovative error correction method that exponentially decreases error rates as qubits grow. This breakthrough represents a pivotal achievement in building scalable, practical quantum computers.
### The Road Ahead
While Google’s advancements in quantum error correction bring the field closer to realizing its transformative potential, substantial challenges remain. Scaling quantum computers to operational sizes will require further innovation. Nonetheless, the long-term possibilities are profound.
Quantum computers are expected to drive breakthroughs in materials science and biology by enabling calculations at molecular and atomic levels that are infeasible for classical computers. Additionally, their applications may extend well beyond today’s known use cases, unlocking opportunities yet to be imagined.
Google’s unveiling of the Willow chip and its associated advancements in quantum error correction represents a monumental step forward in quantum computing. While practical, large-scale quantum computers are still on the horizon, this milestone underscores the technology’s potential to reshape scientific discovery and address computational challenges that are currently insurmountable.
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### Harold Fritts
I have been in the tech industry since IBM created Selectric. My background, though, is writing. So I decided to get out of the pre-sales biz and return to my roots, doing a bit of writing but still being involved in technology.
Previous post: [IBM Unveils Breakthrough in Optics Technology](https://www.storagereview.com/news/ibm-unveils-breakthrough-in-optics-technology)
Next post: [VergeIO Partners with Solidigm on VergeOS Version 4.13](https://www.storagereview.com/news/vergeio-partners-with-solidigm-on-vergeos-version-4-13)
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