Quantum Computing Adoption Strategies for CTOs

This image is from an Amazon Braket slide deck that just did the rounds of all the Deep Tech conferences I've been at recently (this one from Eric Kessler). It's more profound than it might seem. As technical leaders, we're constantly evaluating how emerging technologies will reshape our computational strategies. Quantum computing is prominent in these discussions, but clarity on its practical integration is... emerging. It's becoming clear however that the path forward isn't about quantum versus classical, but how quantum and classical work together. This will be a core theme for the year ahead. As someone now on the implementation partner side of this work, and getting the chance to work on specific implementations of quantum-classical hybrid workloads, I think of it this way: Quantum Processing Units (QPUs) are specialised engines capable of tackling calculations that are currently intractable for even the largest supercomputers. That's the "quantum 101" explanation you've heard over and over. However, missing from that usual story, is that they require significant classical infrastructure for: - Control and calibration - Data preparation and readout - Error mitigation and correction frameworks - Executing the parts of algorithms not suited for quantum speedup Therefore, the near-to-medium term future involves integrating QPUs as accelerators within a broader classical computing environment. Much like GPUs accelerate specific AI/graphics tasks alongside CPUs, QPUs are a promising resource to accelerate specific quantum-suited operations within larger applications. What does this mean for technical decision-makers? Focus on Integration: Strategic planning should center on identifying how and where quantum capabilities can be integrated into existing or future HPC workflows, not on replacing them entirely. Identify Target Problems: The key is pinpointing high-value business or research problems where the unique capabilities of quantum computation could provide a substantial advantage. Prepare for Hybrid Architectures: Consider architectures and software platforms designed explicitly to manage these complex hybrid workflows efficiently. PS: Some companies like Quantum Brilliance are focused on this space from the hardware side from the outset, working with Pawsey Supercomputing Research Centre and Oak Ridge National Laboratory. On the software side there's the likes of Q-CTRL, Classiq Technologies, Haiqu and Strangeworks all tackling the challenge of managing actual workloads (with different levels of abstraction). Speaking to these teams will give you a good feel for topic and approaches. Get to it. #QuantumComputing #HybridComputing #HPC

Quantum readiness is less about sudden disruption and more about cultivating skills, forging collaborations, and aligning strategies with evolving standards, so that businesses can gradually integrate these technologies into their long-term transformation paths. We should see quantum computing as a journey that requires methodical preparation. Finance, logistics, chemistry, and cybersecurity are already experimenting with hybrid models that combine classical and quantum systems. These early steps show that the transition will not happen overnight, but through structured phases of learning and integration. The priority for leaders is to identify processes where quantum can create measurable improvements. This means feasibility studies, pilots, and a roadmap that integrates quantum into IT environments in a sustainable way. At the same time, teams need training in principles, tools, and algorithms, because without this foundation, the technology remains an abstract concept. Collaboration is another essential layer. Partnerships with research hubs, vendors, and cloud providers open access to quantum resources that would otherwise remain out of reach. Alongside this, governance and security must advance with post-quantum standards, ensuring compliance and ethics are never secondary. The real challenge is continuous adaptation. Regulations and technologies will evolve, and strategies must remain flexible. This long-term perspective will define the organizations that are prepared to grow with the next wave of innovation. #QuantumComputing #DigitalTransformation #FutureOfWork

Stop thinking of #Quantum #Computing as a distant, isolated machine. That's the mindset preventing enterprise adoption. The biggest obstacle to achieving Quantum Utility isn't the hardware itself; it's the integration gap. Quantum Processors (#QPUs) are highly specialized accelerators, not standalone systems. They are virtually useless to a business if they cannot speak fluently with your existing classical computing environment, Cloud infrastructure, and data pipelines. This is the key distinction: The path to production-ready Quantum is #hybrid orchestration. This approach makes it realistically achievable for the enterprise by treating Quantum as an extension of your current infrastructure, not a costly replacement. Here is how that integration is built on practical foundations: 👉 Cloud-Enabled Access (QaaS): The Cloud abstracts the immense complexity and cost of housing a QPU, delivering it as a simple, pay-as-you-go Quantum-as-a-Service (#QaaS) resource. This immediately shifts QC from a lab expense to an accessible compute utility. This aligns with a Cloud-First, AI-Enhanced, Quantum-Aware strategy. 👉 The Hybrid Algorithm Loop: The most relevant near-term applications (optimization, materials science) are intrinsically hybrid. This means the classical computer (#HPC) handles the data preparation, parameter optimization, and post-processing, while the QPU performs the single, impossible quantum calculation. They work in a continuous, high-speed loop. Without this tight integration, the theoretical quantum advantage is lost. 👉 Governance & Management: Classical High-Performance Computing (HPC) environments are critical for managing the QPU's extreme fragility. They handle real-time decoding for error correction and autonomous system calibration, ensuring the quantum resource is stable enough for actual business workloads. Think of it this way: The QPU is an ultra-high-performance Formula1 engine, and the classical computing environment is the pit crew, telemetry analysts, and fuel. The engine (QPU) cannot win the race alone. It needs the high-speed pit stop (HPC integration) to process data in milliseconds—adjusting pressure, flow, and direction in real-time. Without this integration, the engine is just an impressive, but unleveraged, piece of engineering. Quantum Computing isn't a replacement for classical IT; it's becoming its most powerful accelerator. Embracing this hybrid, Cloud-centric view is the most efficient way for executives to move past the "hype" and translate these complex technical implications into tangible business value. What is the first real-world business problem in your industry that you believe a hybrid quantum/AI model could solve to generate measurable ROI? Share your insight below. #QuantumComputing #AI #HybridCloud #DigitalTransformation #B2BStrategy

5 Essential Steps to Prepare Your Business for the Quantum Era The quantum computing revolution is approaching faster than many expect, and businesses that fail to prepare could face disruptions in cybersecurity, data processing, and competitive advantage. Quantum computers are transitioning from research labs to real-world applications, meaning organizations must take proactive steps to adapt. Here are five critical actions businesses should take in 2025 to prepare for the quantum era. 1. Stay Ahead of the Quantum Curve Quantum computing is evolving rapidly, and the gap between theory and real-world application is shrinking. Businesses should: • Monitor advancements in quantum research and emerging industry use cases. • Partner with tech leaders like IBM, Google, and Microsoft, which are actively developing quantum technologies. • Train employees on quantum concepts to build internal expertise early. 2. Assess Quantum Cybersecurity Risks One of the biggest threats posed by quantum computing is its ability to break classical encryption methods. Businesses should: • Conduct risk assessments on sensitive data and encryption strategies. • Begin transitioning to post-quantum cryptography (PQC) to protect against future attacks. • Follow security guidelines from NIST and cybersecurity agencies developing quantum-resistant encryption. 3. Identify Quantum Use Cases in Your Industry Quantum computing will revolutionize optimization, AI, materials science, and financial modeling. Companies should: • Evaluate how quantum algorithms could improve operations, from logistics optimization to drug discovery. • Explore hybrid computing models, integrating quantum and classical processing for better efficiency. • Experiment with quantum cloud services from providers like AWS Braket or Microsoft Azure Quantum. 4. Build Strategic Partnerships Few companies will develop quantum expertise in-house, so collaborations are key. Businesses should: • Partner with quantum startups, universities, and government initiatives. • Invest in R&D consortia to stay ahead of quantum innovations. • Work with regulators and industry groups shaping quantum computing policies. 5. Prepare for Business Model Disruption Quantum computing will challenge traditional business models. Companies should: • Reevaluate data-intensive processes that may be disrupted by quantum speedups. • Identify new opportunities for competitive differentiation using quantum-driven insights. • Adapt investment strategies, as quantum computing could shift market dynamics in industries like finance, logistics, and healthcare. Final Thoughts The quantum era is coming, and businesses that start planning today will avoid security risks, leverage new capabilities, and stay ahead of the competition. While full-scale quantum computing is still developing, organizations that take early action will have a significant advantage in this next technological revolution.

KPMG LLP has joined the Chicago Quantum Exchange (CQE) as it accelerates a quantum technology practice aimed at helping clients deploy the technology in enterprise applications.  As we push the boundaries of artificial intelligence, we’re entering a new chapter — one defined not just by smarter models or greater efficiency, but by an entirely new computational paradigm called Quantum Computing.  As a seasoned technology and innovation leader, and early adopter, I've been deeply invested in both AI and Quantum technology and I believe we’re on the cusp of a shift that may be as profound as the leap from classical to quantum mechanics. Generative AI has taken the world by storm and democratized AI, transforming industries and enabling everyone to create, innovate, and automate in ways once unimaginable. Yet, as our data requirements soar and our ROI and use case ambitions grow bolder, even the best classical systems have their limits. Quantum Computing promises to handle complexity at a level that today’s systems simply cannot match. However, Quantum Computing is not a drop-in replacement for today’s digital infrastructure; it’s a reinvention. To prepare, organizations need to develop a focused strategy on Quantum Preparedness: 1. Redesigning Algorithms: Quantum algorithms operate fundamentally differently. Quantum readiness means investing in the R&D of algorithms that take advantage of quantum principles. 2. Re-envisioning Data and Cybersecurity Strategy: Quantum computing requires new approaches to data storage, encryption, and processing. Cybersecurity, in particular, will also be redefined in a quantum world, since today's encryption algos will be hacked in seconds. 3. Upskilling Talent: The future workforce will need to speak both AI and Quantum fluently, building bridges between two revolutionary fields. 4. Aligning Ethical and Practical Use: Quantum will drive a new era of possibility, but ethical frameworks must evolve to harness it responsibly. 5. Discover and Fortify Cryptographic Assets: Uncovering vulnerabilities across digital certificates, keys, cryptographic libraries, protocols, and algorithms within networks, servers, apps, PKIs, KMS, and HSMs will be critical. This exercise should happen now, not 5 years out when it's too late. The next tech frontiers aren't just about faster, smarter systems — they are about creating a technological landscape where AI and quantum synergize, driving profound insights and solutions across all sectors. Is your organization ready to make the quantum leap? Now is the time to start laying the groundwork for the future of intelligence. Please DM or email me to learn more about quantum computing and how KPMG can help.  Chicago Quantum Exchange Dr. Aaron C. Kemp - CISSP Cliff Justice Adam Glaser Brian Miske Daniel Lee Stephanie Kim Richard Padbury, Ph.D. Aparna Prabhakar #QuantumComputing #FutureOfAI #QuantumPreparedness #Quantum #Innovation https://lnkd.in/dVFxHxqH

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

The  Era of Reliable Quantum Computing Is Here. Is Your Organization Ready? As someone deeply invested in the future of technology and its impact on business, I often ask myself: How can organizations prepare for the transformative potential of quantum computing? The answer lies not just in the technology but in the culture we cultivate. A quantum-ready culture is more than technical preparation—it’s about fostering innovation, accountability, and strategic alignment across every level of the organization. The journey to quantum readiness starts with four key pillars: 1️⃣ Start the Quantum-Ready Journey The time to prepare is now. Reliable quantum computing isn’t just a technological shift; it’s an opportunity to unlock new avenues for growth and tackle challenges that were once unsolvable. 2️⃣ Build a Quantum Application Roadmap Quantum isn’t a one-size-fits-all solution. Identifying realistic, high-value use cases specific to your industry is essential to ensure resources are aligned with impact. 3️⃣ Cultivate Quantum Talent Innovation starts with people. Empowering teams with the skills, knowledge, and mindset to embrace quantum and hybrid solutions is critical to driving sustainable competitive advantage. 4️⃣ Embrace a Hybrid Technology Vision Quantum, AI, and high-performance computing (HPC) are complementary technologies. The future of computing lies in integrating these into workflows, where each contributes uniquely to solving complex, multi-domain problems. At the same time, responsible computing must be at the heart of this journey. To foster the positive impacts of these technologies, we must first ensure that responsible use is at the center of their development and deployment.. Through initiatives like the Microsoft Quantum Ready program, organizations can access insights, tools, and resources to align technology with vision and strategy. Business leaders are encouraged to explore how this program can help them craft a quantum-ready culture, build an actionable roadmap, and drive innovation with purpose. 💡 The quantum future isn’t just about “if” or “when.” It’s about “how.” Let’s build a robust business strategy for  quantum - starting today - to unlock transformative opportunities for tomorrow. 👉 Learn more: https://bit.ly/3Pqh5Cf Microsoft  #QuantumReady #Leadership #Innovation #QuantumComputing #MSFTAmbassador #DigitalTransformation