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

Generative AI can help robots jump higher and land safely

The rise of prompt ops: Tackling hidden AI costs from bad inputs and context bloat

3D Printing Materials With Subsurface Scattering | Two Minute Papers #98

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • Amazon (Titan)
    • Anthropic (Claude 3)
    • Cohere (Command R)
    • Google DeepMind (Gemini)
    • IBM (Watsonx)
    • Inflection AI (Pi)
    • Meta (LLaMA)
    • OpenAI (GPT-4 / GPT-4o)
    • Reka AI
    • xAI (Grok)
    • Adobe Sensi
    • Aleph Alpha
    • Alibaba Cloud (Qwen)
    • Apple Core ML
    • Baidu (ERNIE)
    • ByteDance Doubao
    • C3 AI
    • 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
IBM

QBTS vs. IBM: Why is D-Wave Quantum a Smarter Buy Right Now? – June 25, 2025

Advanced AI EditorBy Advanced AI EditorJune 28, 2025No Comments5 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


Key Takeaways

QBTS outperformed IBM with a 1312.3% stock gain in a year, fueled by enterprise traction and tech rollouts. D-Wave’s Advantage2 system with 4,400 qubits and hybrid solvers is now available via cloud and on-prem. QBTS ran a materials simulation in minutes that would take classical systems over a million years.

In 2025, D-Wave Quantum (QBTS Quick QuoteQBTS – Free Report) and International Business Machines Corporation (IBM Quick QuoteIBM – Free Report) have emerged as prominent players in quantum computing, a niche that is currently getting commercialized at an accelerating pace. The two companies pursue fundamentally different approaches in terms of market focus, technological architecture and strategic scale. D-Wave Quantum, a pure-play quantum computing firm, concentrates on practical, near-term applications using its annealing-based systems. Its first-quarter 2025 performance highlighted expanding customer adoption, international growth and growing traction in hybrid quantum-classical solutions aimed at solving real-world optimization problems.

IBM, in contrast, is integrating quantum computing into its broader hybrid cloud and AI strategy, with a long-term focus on fault tolerance and scalability. In the first quarter, it unveiled the first IBM Quantum System Two outside the United States at RIKEN in Japan, powered by the 156-qubit Heron processor and outlined plans for IBM Quantum Starling, a large-scale, fault-tolerant quantum system targeted for 2029. By linking quantum systems with classical supercomputers like Fugaku, IBM is positioning itself at the forefront of scientific and commercial innovation.

For investors, comparing these two quantum frontrunners raises a compelling debate: is it better to bet on QBTS’ speed-to-market or IBM’s scale-driven vision? Let’s find out.

QBTS Outperforms IBM, Industry, Benchmark

Over the past year, shares of D-Wave Quantum have skyrocketed 1312.3%, handily outperforming the sector’s 8.2% gain and the S&P 500’s 11% rally. IBM outperformed the sector and benchmark but underperformed QBTS with a 76.2% rally in its stock price during the same period.

One-Year Share Price Comparison

Zacks Investment Research
Image Source: Zacks Investment Research

Why D-Wave is a Compelling Buy Right Now

Growing Commercial Momentum with a Production-Ready Quantum System: D-Wave Quantum is gaining strong traction with enterprise customers. It signed multiple six- and seven-figure deals in the first quarter of 2025, including a landmark $5 million multi-year subscription with a top-five global financial services firm. Added to this, in May 2025, QBTS announced the general availability of its sixth-generation Advantage2 quantum computer featuring over 4,400 qubits, enhanced 20-way connectivity, doubled coherence time and 75% noise reduction. Available both on-premise and via the Leap cloud platform, Advantage2 delivers commercial-grade performance today, accelerating adoption across optimization, AI and materials science applications.

Real-World Impact Through Hybrid Quantum-Classical Solutions and Supremacy: D-Wave’s hybrid quantum-classical platform is seeing increasing adoption, with its Quantum Cloud Service (QCS) and hybrid solvers enabling enterprises to solve complex optimization problems today. These solutions are already in production, delivering material benefits. Ford Otosan cut scheduling time by over 80%, and Japan Tobacco accelerated drug-discovery simulations, while Julich Supercomputing Centre and Davidson Technologies integrated D-Wave systems into exascale-class infrastructures. Adding to this momentum, QBTS recently demonstrated quantum supremacy in a materials-science simulation, executing in minutes what would take one million years and enormous energy on the fastest classical supercomputers, validating the company’s near-term commercial and scientific potential.

IBM’s Key Progress in Quantum Computing

Quantum System Two Deployed at RIKEN with Quantum-Classical Integration: IBM launched its first Quantum System Two outside the United States at RIKEN in Japan, marking a major breakthrough in global quantum infrastructure. Based on the 156-qubit Heron processor, this system is seamlessly integrated with Fugaku, one of the world’s most powerful classical supercomputers. This setup creates a quantum-centric supercomputing environment, featuring low-latency connections between quantum and classical processors. The result is a powerful platform capable of parallelized workloads, real-time hybrid algorithm execution and advanced compilation protocols, pushing the boundaries of applied quantum computing in scientific and industrial research.

Advancing Quantum Hardware and Fault Tolerance: Heron, Starling and qLDPC Architecture: IBM’s next-generation Heron processor, now live in Japan’s RIKEN lab, delivers a two-qubit error rate as low as 1×10-³ and a CLOPS speed of 250,000, a tenfold improvement over its Eagle predecessor. This leap enables the execution of quantum circuits beyond the reach of brute-force classical simulations. Complementing this hardware breakthrough, IBM unveiled its roadmap to fault tolerance, with IBM Quantum Starling expected by 2029. Starling will support 100 million quantum operations across 200 logical qubits, laying the foundation for future systems like Blue Jay, which targets 1 billion operations using 2,000 logical qubits.

Average Target Price for QBTS Suggests an Upside

Based on short-term price targets offered by six analysts, D-Wave Quantum’s average price target represents an increase of 7.1% from the last closing price of $14.94.

Zacks Investment Research
Image Source: Zacks Investment Research

Based on short-term price targets offered by 19 analysts, IBM’s average price target represents a decline of 11.6% from the last closing price of $289.18.

Zacks Investment Research
Image Source: Zacks Investment Research

QBTS – A Buy Now

Given their contrasting strategies, D-Wave Quantum presents a stronger near-term buying opportunity than IBM. While IBM is building toward long-term, fault-tolerant systems with commercial viability expected post-2029, D-Wave is already delivering enterprise value with its production-ready Advantage2 system. Its real-world deployments, recent quantum supremacy milestone, and strong customer momentum underscore a clear first-mover edge in commercial quantum computing. With QBTS outperforming IBM over the past year and analysts projecting further upside, its Zacks Rank #2 (Buy) suggests a more favorable risk-reward profile than IBM’s Rank #3 (Hold). You can see the complete list of today’s Zacks Rank #1 (Strong Buy) stocks here.



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticlePaper page – PhysRig: Differentiable Physics-Based Skinning and Rigging Framework for Realistic Articulated Object Modeling
Next Article Nuts and Bolts of Applying Deep Learning (Andrew Ng)
Advanced AI Editor
  • Website

Related Posts

IDA Ireland welcomes expansion of IBM’s software developer presence in Waterford

June 28, 2025

Why is D-Wave Quantum a Smarter Buy Right Now? — TradingView News

June 25, 2025

America First Legal Files Third Lawsuit Against IBM for Illegal and Pervasive DEI-Driven Discrimination Against Older White Men

June 25, 2025
Leave A Reply Cancel Reply

Latest Posts

How Labubu Dolls Became 2025’s Viral Fashion Trend

Why Is That Revealing Photograph of Lorde Going Viral?

Vancouver Art Gallery Lays Off 30 Unionized Employees

Gold TV of Trump Dancing Appears on National Mall in Latest Protest Art

Latest Posts

Generative AI can help robots jump higher and land safely

June 28, 2025

The rise of prompt ops: Tackling hidden AI costs from bad inputs and context bloat

June 28, 2025

3D Printing Materials With Subsurface Scattering | Two Minute Papers #98

June 28, 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!

Recent Posts

  • Generative AI can help robots jump higher and land safely
  • The rise of prompt ops: Tackling hidden AI costs from bad inputs and context bloat
  • 3D Printing Materials With Subsurface Scattering | Two Minute Papers #98
  • Sequence to Sequence Deep Learning (Quoc Le, Google)
  • A quick guide | How to search in ChatGPT

Recent Comments

No comments to show.

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.