Quantum Computing Adoption Timeline for Technology Leaders

Google Predicts Commercial Quantum Computing Applications Within Five Years Google has announced plans to bring commercial quantum computing applications to market within five years, significantly accelerating expectations compared to Nvidia’s prediction of a 20-year wait. Hartmut Neven, founder of Google Quantum AI, stated that real-world applications could soon be achievable only on quantum computers. Why This Matters • Quantum computing has been long theorized to outperform traditional systems, but real-world applications have remained elusive. • Google’s five-year timeline challenges the broader uncertainty in the industry, where predictions range from several years to multiple decades. • If realized, this could revolutionize industries by enabling computations that classical supercomputers cannot handle. Potential Applications • Materials Science: Designing superior batteries for electric vehicles. • Pharmaceuticals: Creating new drugs and improving molecular simulations. • Energy Innovations: Discovering new energy sources and optimizing energy systems. Quantum Computing’s Edge • Traditional computers process information one number at a time, while quantum computers use “qubits”, which can represent multiple numbers simultaneously through superposition and entanglement. • This allows quantum machines to perform exponentially more powerful calculations, solving complex optimization, simulation, and cryptographic problems that classical computers struggle with. What’s Next? • Google’s roadmap suggests that practical quantum breakthroughs could arrive much sooner than skeptics believe. • If successful, commercial quantum applications could disrupt entire industries, from EV batteries to AI and logistics. • The race between Google, IBM, Nvidia, and startups like IonQ and Rigetti will determine how quickly these innovations become mainstream. While quantum computing has long been theoretical, Google’s bold five-year prediction suggests we may soon see its first real-world commercial impact—far earlier than many expected.

New peer-reviewed study on how long PQC migration really takes. Independent researcher Robert Campbell, writing in MDPI’s Computers, lays out one of the most comprehensive timelines to date. The punchline: small enterprises need about 5-7 years. Medium 8-12. Large 12-15+ years. Even the optimistic path is a marathon. This isn’t a simple patch or library swap. It’s ecosystem-wide coordination across hardware, software, vendors, and partners. It ties directly to Zero Trust and crypto-agility as quantum-enabled adversaries keep advancing. Bottom line: start now. Inventory your cryptography, prioritize high-value systems, design for crypto-agility, align with Zero Trust, and push your supply chain to be PQC-ready. Read more: https://lnkd.in/d3CyBbXw #PostQuantum #PQC #CryptoAgility #QuantumSecurity

𝗘𝘃𝗲𝗿𝘆𝗼𝗻𝗲'𝘀 𝘁𝗮𝗹𝗸𝗶𝗻𝗴 𝗮𝗯𝗼𝘂𝘁 𝗔𝗜, 𝗟𝗟𝗠𝘀, 𝗮𝗻𝗱 𝗚𝗣𝗨𝘀 𝘁𝗵𝗲𝘀𝗲 𝗱𝗮𝘆𝘀! But there’s another technology quietly advancing — one that could make today’s AI systems look primitive: 𝗤𝘂𝗮𝗻𝘁𝘂𝗺 𝗰𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴. Last week, IBM revealed its roadmap to build the world’s first large-scale, fault-tolerant quantum computer — IBM Quantum Starling — targeted for delivery by 2029. This system is designed to perform 100 million quantum operations using 200 logical qubits, scaling far beyond current quantum machines. To represent its quantum state would require **more memory than 10⁴⁸ classical supercomputers combined*. 𝗪𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝘁𝗵𝗶𝘀 𝘀𝗼 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗳𝗿𝗼𝗺 𝘁𝗼𝗱𝗮𝘆’𝘀 𝗰𝗼𝗺𝗽𝘂𝘁𝗲𝗿𝘀? ⬇️ - Quantum computers use qubits, which can represent multiple states at once — enabling exponential computational power. - They have the potential to transform industries like drug development, materials discovery, and optimization. - At the same time, their power threatens to break current encryption protocols, prompting urgent work on quantum-safe security. - The field is still experimental, requiring extreme conditions like temperatures close to absolute zero — but the trajectory is clear. 𝗜𝗕𝗠’𝘀 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝗶𝘀 𝗴𝗿𝗼𝘂𝗻𝗱𝗲𝗱 𝗶𝗻 𝗿𝗶𝗴𝗼𝗿𝗼𝘂𝘀 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: ⬇️ It’s building toward fault-tolerant quantum computing through a stepwise hardware roadmap: 1. Loon (2025) will test new chip components for error correction using quantum LDPC codes — the foundation of scalable quantum computing. 2. Kookaburra (2026) introduces IBM’s first modular quantum processor, combining memory and logic to build systems beyond a single chip. 3.Cockatoo (2027) will entangle multiple Kookaburra modules, connecting chips like nodes in a distributed quantum system. All of this leads to Starling (2029) — IBM’s planned breakthrough system capable of running 100 million quantum operations on 200 logical qubits. These are tightly integrated hardware milestones — solving problems like error correction, interconnects, and scalability — that make large-scale quantum computing actually achievable. 𝗪𝗮𝘁𝗰𝗵 𝘁𝗵𝗲 𝘃𝗶𝗱𝗲𝗼 𝗯𝗲𝗹𝗼𝘄 𝘁𝗼 𝘀𝗲𝗲 𝗵𝗼𝘄 𝘁𝗵𝗶𝘀 𝗿𝗼𝗮𝗱𝗺𝗮𝗽 𝘂𝗻𝗳𝗼𝗹𝗱𝘀 — 𝗮𝗻𝗱 𝘄𝗵𝘆 𝘁𝗵𝗶𝘀 𝗰𝗼𝘂𝗹𝗱 𝗯𝗲𝗰𝗼𝗺𝗲 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗰𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 𝗺𝗶𝗹𝗲𝘀𝘁𝗼𝗻𝗲𝘀 𝗼𝗳 𝘁𝗵𝗲 𝗱𝗲𝗰𝗮𝗱𝗲.

𝗞𝗲𝘆𝗻𝗼𝘁𝗲 𝗦𝗽𝗲𝗮𝗸𝗲𝗿 𝗳𝗼𝗿 𝗜𝗕𝗠 𝗘𝗠𝗘𝗔 𝗶𝗻 𝗠𝗮𝗱𝗿𝗶𝗱: 𝗧𝗿𝗮𝗻𝘀𝗹𝗮𝘁𝗶𝗻𝗴 𝗤𝘂𝗮𝗻𝘁𝘂𝗺 𝗳𝗼𝗿 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 🤍 [𝗔𝗱] Hola from IBM in Madrid! Yesterday I’m was speaking to an exclusive C-suite audience about why technologies like Quantum & AI must be translated – not just developed. According to the latest research from the IBM Institute for Business Value, quantum advantage could emerge as early as 2026. 𝗧𝗵𝗮𝘁’𝘀 𝗡𝗢𝗪. Many leaders think: “Quantum computing? I have more urgent problems.” And I get it. We are still: • Building resilient AI infrastructures • Securing data architectures • Debating AI sovereignty • Training organizations to use AI responsibly But here is the key question: 𝗛𝗼𝘄? Through 𝗛𝘆𝗯𝗿𝗶𝗱 𝗖𝗹𝗼𝘂𝗱 𝗯𝘆 𝗱𝗲𝘀𝗶𝗴𝗻 – giving leaders the flexibility to run AI anywhere (on-prem, cloud or edge). The infrastructure decisions made today are what make tomorrow’s quantum advantage possible. As technology becomes more powerful, governance becomes non-negotiable. & we are also witnessing a shift: From “AI that chats” to “Agentic AI that works”. From experimentation to trusted, agentic workflows embedded into real business processes. That future is not abstract anymore. It is a 2024–2025 business objective. And now Quantum too? 𝗬𝗲𝘀. Because in five years, you’ll be grateful you started today. Look closer and you’ll realize: 𝗤𝘂𝗮𝗻𝘁𝘂𝗺 𝗶𝘀 𝘀𝘆𝘀𝘁𝗲𝗺-𝗿𝗲𝗹𝗲𝘃𝗮𝗻𝘁. From the IBM study, three realities stand out: 𝗜. 𝗤𝘂𝗮𝗻𝘁𝘂𝗺 𝗶𝘀 𝗮𝗻 𝗲𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 𝗴𝗮𝗺𝗲 → Quantum-ready organizations are 𝟯𝘅 𝗺𝗼𝗿𝗲 𝗹𝗶𝗸𝗲𝗹𝘆 to belong to multiple ecosystems → 𝟳𝟵% say ecosystem partners accelerate adoption → 𝟳𝟳% say ecosystem data improves outcomes No company will win quantum alone. 𝗜𝗜. 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗱𝗲𝘁𝗲𝗿𝗺𝗶𝗻𝗲𝘀 𝗮𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲 → 𝟳𝟱% see semiconductor dependence as a strategic risk → 𝟵𝟯% say technology sovereignty must be factored into 2026 strategy Quantum compute is even scarcer, more complex and geopolitically sensitive. Access = advantage. 𝗜𝗜𝗜. 𝗣𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝗻𝗼𝘁 𝗼𝗽𝘁𝗶𝗼𝗻𝗮𝗹 Preparing does not mean building your own quantum computer tomorrow. It means: • Identifying high-impact use cases • Evaluating post-quantum cryptography • Building internal literacy • Securing the right partnerships — including a Hybrid Cloud architecture able to handle future data complexity • Experimenting before advantage becomes visible In this is why translation matters. And it is not only nice storytelling… It is 𝗦𝗧𝗥𝗔𝗧𝗘𝗚𝗜𝗖 𝗘𝗡𝗔𝗕𝗟𝗘𝗠𝗘𝗡𝗧. Grateful to collaborate with IBM to make quantum computing not only more powerful but actionable. Thank you Patrick Bauer!! 🤍🦾 𝗧𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗶𝘀 𝗻𝗼𝘁 𝗯𝘂𝗶𝗹𝘁 𝗯𝘆 𝘁𝗵𝗼𝘀𝗲 𝘄𝗵𝗼 𝗶𝗻𝘃𝗲𝗻𝘁 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴. 𝗜𝘁’𝘀 𝗯𝘂𝗶𝗹𝘁 𝗯𝘆 𝘁𝗵𝗼𝘀𝗲 𝘄𝗵𝗼 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱. Now to you: Is Quantum on your 2026 agenda? IBM Partner Plus

Quantum advantage is not a distant dream - it’s already on a clear trajectory. IBM, Oxford Quantum Circuits (OQC), and Oxford Economics released a new report last week and one of the many valuable insights it shares is a timeframe for the different stages of ‘quantum advantage’:         1. MegaQuOp (narrow advantage) – within the next 5 years      2. GigaQuOp (wide advantage) – 10 to 15 years      3. TeraQuOp (full advantage) – around 20 years        This scale helps move the conversation from speculation to data-driven forecasts, providing a more substantial answer to the question: when will quantum computers become useful?        e.g., I believe Jensen Huang’s 20-year timeline aligns with the benchmark for 𝘧𝘶𝘭𝘭 𝘢𝘥𝘷𝘢𝘯𝘵𝘢𝘨𝘦 while Bill Gates’ recent prediction of the next 'three to five years' represents the arrival of 𝘯𝘢𝘳𝘳𝘰𝘸 𝘢𝘥𝘷𝘢𝘯𝘵𝘢𝘨𝘦. These views aren’t contradictory. I believe they reflect the different stages of what is considered useful or 'very useful' quantum computing.    For those curious about what narrow quantum advantage / the MegaQuOp era means, John Preskill recently shared some good insight in this article: https://lnkd.in/e6q_RFCm       (IBM, Oxford Quantum Circuits, and Oxford Economics' report is here:  https://lnkd.in/eJ9Rw7Zn)

2025 is shaping up as a turning point for quantum technology. The latest numbers show strong momentum: Around $2 billion flowed into quantum start-ups in 2024, nearly 50% more than in 2023. The global market for quantum technologies could reach $97 billion by 2035, with some forecasts pushing toward $198 billion by 2040. Quantum computing revenues today are still in the hundreds of millions, but leading forecasts see potential to scale into the tens of billions by 2035. On the technology front, progress is no longer about just “adding more qubits.” Google’s 105-qubit Willow chip demonstrated error-corrected performance that improves as systems scale — a milestone many in the field have been waiting for. Governments are moving quickly too: - Japan earmarked $7.4B for quantum R&D this year. - Illinois announced a $500M quantum park. - Australia committed $620M to support PsiQuantum’s plans for a fault-tolerant quantum computer. Early adoption is already taking shape in chemicals and life sciences, finance, and mobility/logistics. Having just started my role as a Senior Advisor at McKinsey, I’m already seeing how companies that prepare quantum strategies today are positioning themselves to lead when this technology matures. What’s your take on the timeline? Are we being too optimistic, or is this right on track? ♻️ Repost if this resonates. Follow me for more insights on quantum, strategy, and innovation.

3 predictions for quantum computing in the next 3–5 years! Most discussions about quantum computing focus on long-term breakthroughs. But the next few years will likely be shaped by engineering realities, system integration, and adoption timelines. Here are 3 predictions: 1. Quantum advantage will be narrow — but high impact We’re unlikely to see general-purpose quantum computing soon. Instead, progress will come from: - domain-specific use cases - targeted advantages in simulation, optimization, and sensing But even a single meaningful breakthrough in a commercially relevant domain could shift the trajectory quickly by attracting disproportionate investment and accelerating adoption. 2. Hybrid systems will drive most near-term progress The real progress will come from: - classical + quantum workflows - HPC orchestration - AI-assisted calibration and control Quantum systems won’t operate in isolation. However, this may not be a permanent state. As systems mature, the balance between classical orchestration and quantum-native execution could shift significantly. 3. Security pressure will shape adoption — but not uniformly Post-quantum cryptography is already: - being standardized - driven by regulatory and risk concerns This creates pressure to act early. At the same time, large-scale migration is complex and slow. Adoption will likely be uneven across industries and geographies. Lastly, Quantum computing won’t unfold in a straight line. It will be shaped by: - How quickly systems scale - How effectively hybrid architectures evolve - How organizations respond to long-term risk The uncertainty isn’t a flaw — it’s part of the system. Curious to hear your thoughts! Which of these do you agree with the most, or disagree with? - Narrow but high-impact advantage - Hybrid systems dominance - Security-driven adoption - Different trajectory entirely Comment 1 / 2 / 3 / 4 #QuantumComputing #DeepTech #Innovation #FutureOfComputing