As told to CNBC, Google's Quantum AI hardware director Julian Kelly predicts that practical quantum computing applications could be just five years away, signaling a potential breakthrough in this cutting-edge technology.
Google's recent quantum computing advancements have positioned the company at the forefront of the field. In March 2025, Google's 105-qubit quantum computer demonstrated significant progress, though it still falls short of the scale required for transformative applications12. The company's Willow chip, unveiled in December 2024, marked a major breakthrough in quantum error correction, addressing one of the primary challenges in scaling up quantum systems3.
Google's quantum team is focusing on developing practical applications that leverage the unique properties of quantum computing. These efforts include simulating complex physics scenarios, enhancing AI training, and exploring solutions for industries such as automotive and healthcare2. With Google Quantum AI's hardware director Julian Kelly predicting a "real breakout" application within five years, the company is poised to potentially deliver quantum capabilities that surpass classical computing in solving specific, previously intractable problems456.
Quantum computing applications are expanding rapidly, with potential to revolutionize various industries. In materials science, quantum simulations could accelerate the discovery of new materials for batteries, semiconductors, and superconductors12. For drug discovery, quantum computers may simulate complex molecular interactions, potentially reducing development time and costs for new medications34. In finance, quantum algorithms could optimize portfolios, improve risk analysis, and enhance fraud detection capabilities34. Additionally, quantum computing shows promise in tackling climate change challenges through more efficient chemical catalysts and improved carbon capture technologies4. As quantum technology advances, it may also significantly enhance artificial intelligence and machine learning capabilities, enabling faster processing of large datasets and solving complex optimization problems35.
Industry perspectives on the timeline for practical quantum computing vary:
Nvidia CEO Jensen Huang initially suggested a 15-20 year timeframe, but has since moderated his stance1
Microsoft CEO Satya Nadella remains active in quantum development, with the company unveiling its Majorana chip in February 20252
Bill Gates aligns more closely with Google's projection, estimating practical quantum computing could arrive in 3-5 years3
These diverse viewpoints reflect the dynamic nature of quantum technology development, with Google's optimistic 5-year prediction sparking increased industry interest. This is evidenced by Nvidia hosting quantum-focused events and startups like Sciquantum reportedly raising nearly $1 billion at a $6 billion valuation4.
Google's Willow chip, unveiled in December 2024, represents a significant leap forward in quantum error correction, a critical challenge in scaling up quantum systems1. This breakthrough has enabled Google to push the boundaries of quantum simulations, particularly in complex physics scenarios. The Willow chip's improved error rates allow for more stable and reliable quantum computations, potentially accelerating progress in fields such as materials science and drug discovery2.
With these advancements, Google is focusing on developing practical quantum applications that leverage the unique properties of quantum computing. The company is exploring simulations that could revolutionize industries like automotive and healthcare2. For instance, quantum simulations could lead to the discovery of new materials for more efficient batteries or help in understanding complex molecular interactions for drug development, tasks that are computationally intensive for classical computers but well-suited to quantum systems23.