The announcement marks a defining moment in Google’s decade-long quest to make quantum computing a practical reality. The research, published […] The post As Google Surpasses Supercomputers, Experts Weigh Impact on Crypto Security appeared first on Coindoo.The announcement marks a defining moment in Google’s decade-long quest to make quantum computing a practical reality. The research, published […] The post As Google Surpasses Supercomputers, Experts Weigh Impact on Crypto Security appeared first on Coindoo.

As Google Surpasses Supercomputers, Experts Weigh Impact on Crypto Security

2025/10/23 17:00
4 min read
For feedback or concerns regarding this content, please contact us at crypto.news@mexc.com

The announcement marks a defining moment in Google’s decade-long quest to make quantum computing a practical reality.

The research, published in Nature, introduces a process called Quantum Echoes, which Google claims ran 13,000 times faster than the most advanced supercomputers in operation today. What sets this milestone apart, the company emphasized, is that the results are verifiable – a rare feat that allows other quantum systems to reproduce the outcome, validating the science behind it.

One Step Closer to Real-World Quantum Power’

“Verifiability is a big step towards real-world applications,” said Tom O’Brien, a leading researcher at Google Quantum AI. “With this result, we’re one step closer to bringing quantum technology to the mainstream.”

The Willow chip, introduced earlier this year, has now positioned Google at the forefront of the quantum race, a field where IBM, Microsoft, and several specialized startups are fiercely competing for dominance. Back in December, Google revealed that Willow could solve a problem in five minutes that would take the world’s fastest classical computer 10 septillion years to complete – a claim that sparked global attention.

Quantum Echoes: The Experiment That Changed the Game

Quantum computers differ from classical ones by harnessing the strange properties of subatomic particles to process information simultaneously rather than sequentially. While this parallelism offers exponential power, controlling and scaling it has remained a barrier to real-world use.

Quantum Echoes could change that. By creating repeatable and measurable results, the algorithm gives scientists confidence that their systems are not just demonstrating speed but producing trustworthy, reproducible data – a crucial step toward commercial quantum computing.

Experts Praise the Achievement – With Caution

Scott Aaronson, a computer science professor at the University of Texas, described the research as “fascinating,” noting that it represents “the first time we’ve reproducibly seen quantum systems outperform supercomputers.” However, he added a note of caution: “The road from experiments like this to error-corrected, fault-tolerant quantum machines is still very long.”

Among Google’s collaborators on the project was Michel H. Devoret, co-winner of the 2025 Nobel Prize in Physics, whose contributions have helped stabilize qubits – the quantum bits that power these machines. The team plans to enhance accuracy and scalability, pushing toward models that could eventually handle tasks in chemistry, materials science, and AI.

A companion study published alongside the main paper shows how the Quantum Echoes algorithm could model complex molecular structures – a development that could revolutionize fields such as drug design and battery innovation. However, achieving this will require machines roughly 10,000 times more powerful than today’s quantum processors.

Crypto World Weighs the Implications

The news has also reignited long-standing debates within the cryptocurrency community, where some fear that powerful quantum computers could eventually undermine the encryption standards protecting assets like Bitcoin.

Experts, however, say the threat remains purely theoretical. “There’s no evidence today that any computer, not even classified systems, can break modern cryptography,” said Kostas “Kryptos” Chalkias, chief cryptographer and co-founder of Mysten Labs.

Still, as quantum hardware progresses faster than many expected, cybersecurity researchers are already exploring quantum-resistant encryption to prepare for the next era of digital security.

The Countdown to Quantum Reality

Google’s breakthrough suggests that quantum advantage – the moment when quantum systems consistently outperform classical machines – may arrive sooner than predicted. If the company’s projections hold true, the world could see practical quantum applications within five years.

What began as an experimental field of theoretical physics is now edging into engineering reality – one that could reshape industries from finance to pharmaceuticals, and perhaps even redefine the limits of computing itself.


The information provided in this article is for educational purposes only and does not constitute financial, investment, or trading advice. Coindoo.com does not endorse or recommend any specific investment strategy or cryptocurrency. Always conduct your own research and consult with a licensed financial advisor before making any investment decisions.

The post As Google Surpasses Supercomputers, Experts Weigh Impact on Crypto Security appeared first on Coindoo.

Market Opportunity
QUANTUM Logo
QUANTUM Price(QUANTUM)
$0.002861
$0.002861$0.002861
+0.56%
USD
QUANTUM (QUANTUM) Live Price Chart
Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact crypto.news@mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

[Finterest] How do you start saving with Pag-IBIG’s MP2 program?

[Finterest] How do you start saving with Pag-IBIG’s MP2 program?

MP2 may be right for you if you have a conservative risk appetite and an investment horizon of at least 5 years
Share
Rappler2026/03/12 13:05
XRP steadies near $1.38 as Bollinger squeeze hints at breakout before CPI

XRP steadies near $1.38 as Bollinger squeeze hints at breakout before CPI

Markets Share Share this article
Copy linkX (Twitter)LinkedInFacebookEmail
XRP steadies near $1.38 as Bollinger squeeze
Share
Coindesk2026/03/12 13:15
Google's AP2 protocol has been released. Does encrypted AI still have a chance?

Google's AP2 protocol has been released. Does encrypted AI still have a chance?

Following the MCP and A2A protocols, the AI Agent market has seen another blockbuster arrival: the Agent Payments Protocol (AP2), developed by Google. This will clearly further enhance AI Agents' autonomous multi-tasking capabilities, but the unfortunate reality is that it has little to do with web3AI. Let's take a closer look: What problem does AP2 solve? Simply put, the MCP protocol is like a universal hook, enabling AI agents to connect to various external tools and data sources; A2A is a team collaboration communication protocol that allows multiple AI agents to cooperate with each other to complete complex tasks; AP2 completes the last piece of the puzzle - payment capability. In other words, MCP opens up connectivity, A2A promotes collaboration efficiency, and AP2 achieves value exchange. The arrival of AP2 truly injects "soul" into the autonomous collaboration and task execution of Multi-Agents. Imagine AI Agents connecting Qunar, Meituan, and Didi to complete the booking of flights, hotels, and car rentals, but then getting stuck at the point of "self-payment." What's the point of all that multitasking? So, remember this: AP2 is an extension of MCP+A2A, solving the last mile problem of AI Agent automated execution. What are the technical highlights of AP2? The core innovation of AP2 is the Mandates mechanism, which is divided into real-time authorization mode and delegated authorization mode. Real-time authorization is easy to understand. The AI Agent finds the product and shows it to you. The operation can only be performed after the user signs. Delegated authorization requires the user to set rules in advance, such as only buying the iPhone 17 when the price drops to 5,000. The AI Agent monitors the trigger conditions and executes automatically. The implementation logic is cryptographically signed using Verifiable Credentials (VCs). Users can set complex commission conditions, including price ranges, time limits, and payment method priorities, forming a tamper-proof digital contract. Once signed, the AI Agent executes according to the conditions, with VCs ensuring auditability and security at every step. Of particular note is the "A2A x402" extension, a technical component developed by Google specifically for crypto payments, developed in collaboration with Coinbase and the Ethereum Foundation. This extension enables AI Agents to seamlessly process stablecoins, ETH, and other blockchain assets, supporting native payment scenarios within the Web3 ecosystem. What kind of imagination space can AP2 bring? After analyzing the technical principles, do you think that's it? Yes, in fact, the AP2 is boring when it is disassembled alone. Its real charm lies in connecting and opening up the "MCP+A2A+AP2" technology stack, completely opening up the complete link of AI Agent's autonomous analysis+execution+payment. From now on, AI Agents can open up many application scenarios. For example, AI Agents for stock investment and financial management can help us monitor the market 24/7 and conduct independent transactions. Enterprise procurement AI Agents can automatically replenish and renew without human intervention. AP2's complementary payment capabilities will further expand the penetration of the Agent-to-Agent economy into more scenarios. Google obviously understands that after the technical framework is established, the ecological implementation must be relied upon, so it has brought in more than 60 partners to develop it, almost covering the entire payment and business ecosystem. Interestingly, it also involves major Crypto players such as Ethereum, Coinbase, MetaMask, and Sui. Combined with the current trend of currency and stock integration, the imagination space has been doubled. Is web3 AI really dead? Not entirely. Google's AP2 looks complete, but it only achieves technical compatibility with Crypto payments. It can only be regarded as an extension of the traditional authorization framework and belongs to the category of automated execution. There is a "paradigm" difference between it and the autonomous asset management pursued by pure Crypto native solutions. The Crypto-native solutions under exploration are taking the "decentralized custody + on-chain verification" route, including AI Agent autonomous asset management, AI Agent autonomous transactions (DeFAI), AI Agent digital identity and on-chain reputation system (ERC-8004...), AI Agent on-chain governance DAO framework, AI Agent NPC and digital avatars, and many other interesting and fun directions. Ultimately, once users get used to AI Agent payments in traditional fields, their acceptance of AI Agents autonomously owning digital assets will also increase. And for those scenarios that AP2 cannot reach, such as anonymous transactions, censorship-resistant payments, and decentralized asset management, there will always be a time for crypto-native solutions to show their strength? The two are more likely to be complementary rather than competitive, but to be honest, the key technological advancements behind AI Agents currently all come from web2AI, and web3AI still needs to keep up the good work!
Share
PANews2025/09/18 07:00