Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

Systems Thinking for Data-Analytic Automation of Patient Care

Stanford HAI’s annual report highlights rapid adoption and growing accessibility of powerful AI systems

New MIT CSAIL study suggests that AI won’t steal as many jobs as expected

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • Adobe Sensi
    • Aleph Alpha
    • Alibaba Cloud (Qwen)
    • Amazon AWS AI
    • Anthropic (Claude)
    • Apple Core ML
    • Baidu (ERNIE)
    • ByteDance Doubao
    • C3 AI
    • Cohere
    • DataRobot
    • DeepSeek
  • AI Research & Breakthroughs
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Education AI
    • Energy AI
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Media & Entertainment
    • Transportation AI
    • Manufacturing AI
    • Retail AI
    • Agriculture AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
Facebook X (Twitter) Instagram
Advanced AI News
Home » Why IBM Is the Best Quantum Computing Stock to Buy Right Now
IBM

Why IBM Is the Best Quantum Computing Stock to Buy Right Now

Advanced AI EditorBy Advanced AI EditorJune 19, 2025No Comments4 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


A future quantum computer could potentially solve problems that are essentially impossible for even the most powerful supercomputer. The magic comes from the nature of quantum physics. While traditional computers operate on bits that can be in only one of two states, a quantum qubit is probabilistic, occupying some combination of those two states. This property opens the door to exponentially faster computations.

Today’s quantum computers generally aren’t capable of solving real-world problems quicker than traditional computers. They are capable of performing some types of computations faster, but these computations are more toy problems than anything else. When Alphabet’s Google unveiled its Willow quantum chip last year, it claimed that Willow could perform a particular benchmark in five minutes that would take a supercomputer 10 septillion years. Unfortunately, that benchmark has no known real-world applications.

A quantum computer.

Image source: Getty Images.

Another problem is error correction. Qubits are fragile, and errors are inevitably introduced over the course of a computation. Those errors must be prevented, corrected, or otherwise mitigated for long enough for a computation to be completed.

Microsoft made some noise on this front earlier this year with its Majorana 1 quantum chip, which uses exotic particles to create more robust qubits. However, the company is in the early stages of scaling this technology, and it could very well be many years before anything useful comes out of it.

International Business Machines (IBM 0.05%), a quantum computing pioneer, now sees a path to full-scale quantum error correction by 2029 and true quantum advantage by the end of 2026. The company has a clear roadmap, and if it can deliver, quantum computing could turn into a major business for the century-old tech giant.

The path to fault-tolerant quantum computers

IBM is taking a modular approach on its path to the holy grail of quantum computing. This year, IBM will release Nighthawk, its new quantum process with 120 qubits and 5,000 quantum gates. Over the next few years, successive versions of Nighthawk will increase the number of gates, culminating in 2028 with a 15,000-gate version that can be linked together in groups of nine. IBM believes Nighthawk will be able to achieve true quantum advantage.

Nighthawk is a stepping stone toward Starling, the fault-tolerant quantum computer planned for 2028. To build Starling, IBM will release three iterations of quantum chips over the next few years that include the necessary technology to make Starling a reality.

IBM Quantum Loon comes this year, featuring greater connectivity than the company’s current quantum chips. IBM Quantum Kookaburra comes in 2026, bringing the ability to store information and process it with an attached processing unit. And IBM Quantum Cockatoo is set for 2027, allowing entanglement between modules. Starling, which will feature 200 logical qubits and 100 million quantum gates, will be built in 2028 and deliver fault-tolerance by 2029, according to IBM’s roadmap.

A quantum computing leader

Plenty of companies are racing toward viable quantum computing, but IBM has two things that make it unique: a decades-long track record researching and building quantum computers, and a clear roadmap to reach fault-tolerance and true quantum advantage.

While it’s impossible to predict how large of an opportunity quantum computing could be for IBM, one estimate puts the economic value generated by quantum computing at $850 billion by 2040, with the market for quantum hardware and software potentially worth $170 billion. If IBM can truly pull ahead of its rivals and deliver real-world results with its quantum computers by the end of the decade, it will be in a great position to reap the rewards of the quantum computing revolution.

IBM’s valuation today looks reasonable considering the enormous potential of quantum computing. Based on the company’s outlook for 2025, IBM stock trades for roughly 19 times free cash flow. While the stock isn’t as cheap as it was a few years ago, IBM still looks like a solid buy. The company’s hybrid cloud and artificial intelligence (AI) businesses are driving growth today, and quantum computing has the potential to drive growth in the 2030s and beyond.

Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool’s board of directors. Timothy Green has positions in International Business Machines. The Motley Fool has positions in and recommends Alphabet, International Business Machines, and Microsoft. The Motley Fool recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleEx-staff claim profit greed betraying AI safety
Next Article Ancestra says a lot about the current state of AI-generated videos
Advanced AI Editor
  • Website

Related Posts

IBM vs. Oracle: Which Hybrid Cloud Stock Offers Better Growth?

June 19, 2025

AI Impact Awards 2025: How IBM Helps Cities Plan for a Cleaner, Cooler Energy Future

June 19, 2025

IBM Channel Chief Kate Woolley Departs

June 19, 2025
Leave A Reply Cancel Reply

Latest Posts

Historic South L.A. Black Cultural District Designation Moving Forward

Basel Social Club Turns a Swiss Bank Into a Wild Art Show

Beatie Wolfe Talks About Working With Brian Eno On Their Two Collaborative Albums

Broadway’s Billion-Dollar Tony Night

Latest Posts

Systems Thinking for Data-Analytic Automation of Patient Care

June 19, 2025

Stanford HAI’s annual report highlights rapid adoption and growing accessibility of powerful AI systems

June 19, 2025

New MIT CSAIL study suggests that AI won’t steal as many jobs as expected

June 19, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

YouTube LinkedIn
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.