Google Aims for Quantum Computing Breakthrough in 10 Years

October 22, 2025
Google CEO Sundar Pichai (left) and Salesforce CEO Marc Benioff engage in a conversation at Dreamforce 2025 held in San Francisco, USA on Oct. 16 (local time). (Photo courtesy of Salesforce Inc.)
Google CEO Sundar Pichai has projected the advent of the quantum computing era within the next decade. This vision aims to secure commercially viable quantum computers within a few years, positioning the company to dominate future computing infrastructure. Pichai emphasized that the artificial intelligence (AI) “Gemini 3.0” will be unveiled within the year, accelerating AI innovation next year. Following last year’s “AlphaFold,” Google has once again clinched the Nobel Prize in Physics this year for quantum research, marking two consecutive years of achievement. This has led to assessments that Google is exhibiting confidence in dominating not only AI but also the future quantum computing era through its overwhelming research and development (R&D) capabilities.

During a conversation with Salesforce CEO Marc Benioff at Salesforce’s annual developer conference Dreamforce 2025 in San Francisco on Oct. 16 (local time), Pichai stated, “Google plans to have a commercially viable quantum computer within a few years,” adding, “I am very optimistic and confident about the realization of quantum computing in 10 years.”

In the tech industry, there are significant concerns that the commercialization of quantum computers could potentially undermine existing encryption and security systems. Pichai cautioned, “I am confident that within 3-5 years, we will reach a point where we need to adapt to quantum computing from an encryption perspective,” adding, “Everyone needs to be mindful of the issue that there could be a very serious trust gap at the moment when vulnerabilities arise at all points, including cryptocurrencies.”

Pichai’s optimism appears to be grounded in the recent Nobel Prize in Physics awarded to Google’s quantum research team. This year’s Nobel Prize in Physics was awarded to John Clauser, Michel Devoret, and John Martinis for their achievements in research on quantum mechanical effects in the macroscopic world. Devoret is a professor at Yale and UC Santa Barbara, as well as a senior scientist for Google Quantum AI. Martinis is also an emeritus professor at UC Santa Barbara and conducted quantum hardware research at Google from 2014 to 2020. This marks a second consecutive achievement for Google, following DeepMind CEO Demis Hassabis’s award last year for the AI protein analysis technology “AlphaFold.”

Pichai emphasized, “Two weeks ago, I visited Google’s quantum research lab in Santa Barbara to meet the team, and a day later, our senior scientist received the Nobel Prize,” adding, “Google has been researching quantum for over a decade, and from a product perspective, the quantum computing team is no different from the Tensor Processing Unit (TPU) team.” TPU is Google’s proprietary AI chipset that has been implemented in data centers since 2016. Just as the preemptive development and introduction of TPU led to the successful construction of efficient data centers, the intention is to leverage technological superiority to secure infrastructure in the quantum era as well.

Pichai also expressed confidence in mounting a full-fledged counterattack in the AI market, where OpenAI has taken the initiative. Responding to Benioff’s question about his reaction to headlines suggesting “Google has a competitor and OpenAI is the true AI leader” after OpenAI released ChatGPT, Pichai acknowledged, “I recognize OpenAI’s merit in preemptively releasing to the consumer market. Google should have captured that moment and executed well,” admitting to the oversight.

However, he added, “Google has been actively implementing transformers since their announcement in 2017, achieving dramatic improvements in search, photos, and other areas. We had also developed a chatbot that became famous for an engineer thinking it had ‘consciousness’ six months before (ChatGPT’s release),” recalling, “Everyone who knew Google’s situation was aware that a chatbot could be released in a few months, but it hadn’t reached a safety level where ‘Google’ could comfortably release it.” This implies that the different environments faced by the startup OpenAI and the big tech company Google made it difficult for Google to readily release an ‘imperfect’ AI.

He continued, “Google possesses not only the infrastructure but also world-class research teams including Google Research, Google Brain, and Google DeepMind, and plans to release Gemini 3.0 this year by integrating these capabilities,” emphasizing, “Gemini 3.0 will be an even more powerful AI agent that has made more noticeable progress than in the past few years.”

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