Quantum System Adoption in Enterprise Technology

Quantum computing is moving from promise to platform. For years, quantum has lived in research labs and long-term roadmaps. The question was not whether it worked in theory, but whether anyone could turn it into an ecosystem, a product portfolio, and a repeatable strategy. According to a 2025 report from Gartner, IBM is now the company to beat in quantum computing. The recognition points to strength across research, product portfolio, and ecosystem development. A combination that matters. Quantum computing is not an incremental upgrade to classical systems. It is a fundamentally different architecture built on superconducting transmon qubits and quantum circuits. These systems are designed to tackle classes of problems that remain inaccessible to even the most powerful classical supercomputers. The real shift, however, is not about replacing classical computing. It is about integrating it. IBM’s vision centers on a quantum-centric supercomputing model, where quantum processing units work alongside classical hardware such as GPUs. Each architecture handles the part of the problem it is best suited for. Together, they address challenges no single system can solve alone. Execution is where many emerging technologies stall. In quantum, it has required sustained research, disciplined milestones, and early access for developers and enterprises. IBM first put a quantum computer on the cloud in 2016. Since then, it has built an ecosystem that includes hundreds of academic institutions, startups, and industry partners, alongside the open source Qiskit software development kit. Roadmaps are easy to publish. Delivering against them is harder. Since introducing its quantum development roadmap in 2019, IBM has consistently met its stated milestones. Therefore, this recognition is not about a single breakthrough. It reflects a long-term strategy that connects research, hardware, software, and community into a coherent platform. #IBM #IBMiX #Quantum

Most quantum boardroom conversations end without an agenda. They end with a posture — "we're monitoring quantum developments," "we're taking it seriously". Neither statement produces a plan. The distinction matters because quantum creates three problem classes, each with a different urgency and a different cost of inaction. A generic posture misaddresses all three at once. The right response, for most leadership teams, has three parts. The first is to defend now. Post-quantum cryptography belongs on the enterprise risk agenda as a current priority. That means building visibility into cryptographic dependencies across the enterprise, identifying migration priorities, and mapping third-party exposure. This is the part of the quantum agenda that cannot wait. The second is to explore selectively. Most leadership teams do not need a wide portfolio of quantum pilots. They need a small number of focused efforts on high-value problems where the workload aligns with quantum's actual strengths — evaluated against the strongest available classical alternative. Each effort should be a targeted test: one specific problem, one clear classical benchmark, one honest evaluation. The third is to build options. For companies in simulation-relevant sectors — pharmaceuticals, advanced materials, energy — the right posture is modest investment in partnerships and early hardware collaborations. The goal is R&D workflows that are ready to integrate quantum subroutines when the technology matures. The companies that benefit most will not necessarily be those spending the most today. They will be the ones best positioned to move when the moment arrives. The most common failure on quantum is conflating the urgency of the three classes — treating all three as equally distant or equally immediate, when each has a different clock running. The organizations that get this right understand early which problem classes matter to their business, which ones to set aside, and what the distinction demands of them starting Monday morning. https://lnkd.in/gkymW7Xm

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

🚨 NEW PEER-REVIEWED RESEARCH: PQC Migration Timelines Excited to share my latest paper published in MDPI Computers: "Enterprise Migration to Post-Quantum Cryptography: Timeline Analysis and Strategic Frameworks." The transition to Post-Quantum Cryptography (PQC) represents a watershed moment in the history of our digital civilization. Organizations planning for a 3-5 year "upgrade" will fail. The reality is a 10-15-year systemic transformation. Key Contributions: 📊 Realistic Timeline Estimates by Enterprise Size: Small (≤500 employees): 5-7 years Medium (500-5K): 8-12 years Large (>5K): 12-15+ years ⚠️ Critical Finding: With FTQC expected 2028-2033, large enterprises face a 3-5 year vulnerability window—migration may not complete before quantum computers break RSA/ECC. 🔬 Novel Framework Analysis: Causal dependency mapping (HSM certification, partner coordination as critical paths) "Zombie algorithm" maintenance overhead quantified (20-40%) Zero Trust Architecture implications for PQC 💡 Practical Guidance: Crypto-agility frameworks and phased migration strategies for immediate action. Strategic Recommendations for Leadership: 1. Prioritize by Data Value, Not System Criticality: Invert the traditional triage model. Systems protecting long-lived data (IP, PII, Secrets) must migrate first, regardless of their operational uptime criticality, to mitigate SNDL. 2. Fund the "Invisible" Infrastructure: Budget immediately for the expansion of PKI repositories, bandwidth upgrades, and HSM replacements. These are long-lead items that cannot be rushed. 3. Establish a Crypto-Competency Center: Do not rely solely on generalist security staff. Invest in specialized training or retain dedicated PQC counsel to navigate the mathematical and implementation nuances. The talent shortage will only worsen. 4. Demand Vendor Roadmaps: Contractual language must shift. Procurement should require vendors to provide binding roadmaps for PQC support. "We are working on it" is no longer an acceptable answer for critical supply chain partners. 5. Embrace Hybridity: Accept that the future is hybrid. Design architectures that can support dual-stack cryptography indefinitely, viewing it not as a temporary bridge but as a long-term operational state. 6. Implement Automated Discovery: You cannot migrate what you cannot see. Deploy automated cryptographic discovery tools to continuously map the cryptographic posture of the estate, identifying shadow IT and legacy instances that manual surveys miss. The quantum clock is ticking. Start planning NOW. https://lnkd.in/eHZBD-5Y 📄 DOI: https://lnkd.in/ejA9YpsG #PostQuantumCryptography #Cybersecurity #QuantumComputing #PQC #InfoSec #NIST #CryptoAgility

“𝗪𝗵𝗲𝗻 𝘄𝗶𝗹𝗹 𝗾𝘂𝗮𝗻𝘁𝘂𝗺 𝗺𝗮𝘁𝘁𝗲𝗿 𝗳𝗼𝗿 𝘂𝘀?” The better question is: “Will we be ready when it does?” According to the latest insights from the IBM Quantum Readiness Index, organizations preparing today for quantum advantage by 2027 expect 53% higher ROI by 2030 compared to peers who wait. That’s not a marginal gain. That’s a strategic gap. Quantum readiness isn’t just about technology. It’s about three capabilities: 🔹 Strategy – understanding where quantum creates real business value 🔹 Technology – integrating quantum-classical architectures and AI models 🔹 Operations – building talent, governance, and innovation pipelines In other words: Quantum advantage will not come from buying a quantum computer. It will come from organizations that start preparing their capabilities today. The companies that win the next decade will be those that treat quantum like we treated AI ten years ago: Start experimenting early. Build internal knowledge. Develop use cases before the technology fully matures. Because once the advantage arrives, it won’t wait for late adopters. 53% more ROI is a strong reminder: The biggest risk with quantum isn’t investing too early. It’s leaving ROI on the table.

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

Quantum is no longer a lab conversation, it is increasingly becoming an architecture conversation. A few days back, we hosted an engaging Quantum Computing session at Persistent Systems with Umakant D. Rapol and Kunj Tandon from Indian Institute of Science Education and Research (IISER), Pune. The response from our teams at Persistent Systems was phenomenal, probing questions, deep curiosity, and strong engagement on a complex frontier technology. Here are my takeaways and what stood out for me. We are entering an era of hybrid intelligence: 1. Classical systems for scale 2. AI for cognition 3. Quantum for complexity For workloads like optimization, cryptography, molecular simulation, and AI heavy probabilistic modeling, Quantum won’t replace classical computing. It will augment it. The real opportunity lies at the intersection of these technologies: 1. AI optimizing Quantum circuits 2. Quantum accelerating AI-driven search and combinatorial problems 3. Hybrid architectures solving previously intractable enterprise challenges As part of Persistent’s AI roadmap, we are actively exploring hybrid processing models that combine AI, classical compute, and emerging Quantum accelerators, preparing our enterprise clients for the next wave of computational advantage. And as India advances its National Quantum Mission, aligning research ecosystems with industry adoption will be critical. Initiatives like this are small but meaningful steps in building that bridge. The Second Quantum Revolution isn’t distant. It’s quietly assembling itself and we intend to be ready. I-HUB Quantum Technology Foundation National Quantum Mission Abhay Karandikar Ajai Chowdhry Anand Deshpande Sandeep Kalra Dr. Rajesh Gharpure Dr. Varsha Jain Santosh Dixit #QuantumComputing #ArtificialIntelligence #NationalQuantumMission #EnterpriseAI #HybridArchitecture #PersistentSystems

The OECD - OCDE report “Building Business Readiness for Quantum Computing: Key Barriers and Support Mechanisms” (Digital Economy Papers No. 383, March 2026) explores how firms can prepare for quantum #computing as a long-term technology. Quantum readiness involves incremental capability-building—starting with awareness and evolving toward use-case identification, #skills development, infrastructure, and #ecosystem engagement—rather than immediate production deployment. Drawing on #interviews with 16 organizations across 10 countries and recent #surveys, the paper identifies four main barriers: limited technological maturity (high error rates and instability), unclear business value and use cases (e.g., optimization in finance/pharma, drug discovery), high costs of access/training (cloud time can reach tens of thousands of dollars; hardware millions), and #talent shortages blending quantum expertise with industry knowledge. These challenges concentrate efforts among large R&D-intensive firms, risking a digital divide with SMEs and lagging sectors. Support mechanisms include networking platforms, advisory services, technology extension programs, R&D grants, and stakeholder consultations. The report recommends hybrid quantum-AI-HPC approaches as entry points, stronger #industry-#academia partnerships, expanded skills pipelines, and policies to broaden access and prevent uneven adoption. It stresses building resilience, including post-quantum #cryptography. Overall, early exposure and internal adaptation are key to future competitiveness as quantum advantage emerges. In my recent Forbes Business Council article, I argue that the convergence of #quantum, #AI, #blockchain, #6G, and #satelliteinternet demands a shift from Web2’s control-based models to decentralized #Web3/Web4 architectures.I explore emerging phygital #business models—like decentralized intelligence marketplaces, quantum-secure #identity services, and autonomous ecosystem orchestrators—to build quantum #resilience, redefine value flows, #trust, and performance metrics beyond profits.

I’ve started spending time around the quantum ecosystem in the Northwest. Not to understand the physics. To understand what it will take for quantum technologies to scale. The physics matters enormously. Whether it’s computing, sensing, networking, or security. Breakthroughs at the scientific layer are what make the entire category possible. Without that work, there is no industry. What I’m curious about are the layers around it. ==> Talent density — not just PhDs, but operators, engineers, product leaders, and technicians who can translate breakthroughs into usable systems. ==> Capital patience: funding models that align with long technical timelines and don’t force premature commercialization. ==> Industry collaboration: coordination across universities, startups, incumbents, and government before clear market winners emerge. ==> Institutional trust: the gradual confidence enterprises, regulators, and the public need before adopting technologies this complex. Earlier in my career, I had a front-row seat to a few infrastructure transitions. At Microsoft, we redesigned how enterprise customers bought across product portfolios. It changed what customers bought and used to grow their business, not how the products were made. At F5, I was part of the shift from hardware-centric products to cloud-delivered platforms. It opened new economic models and deployment options, not how we built security and/or load balancers. In both cases, the technology was real and the harder challenge was creating alignment to drive massive scale. Because technology maturity and institutional maturity moved at very different speeds. Quantum technologies feel destine for the same kind of dynamic. The science is advancing. The surrounding system is still forming. That’s the layer I’m interested in understanding better. #QuantumTechnology, #InnovationEcosystem, #TechnologyStrategy

🔐 As quantum computing edges closer to reality, one industry is quietly leading the charge: Telecom. According to the latest research from Capgemini Research Institute, telecom sector has the highest proportion of "quantum-safe champions" globally. But what does that mean? A quantum-safe champion is an organization that has both the technical and organizational maturity to transition to post-quantum cryptography (PQC). These leaders: - Have enterprise-wide PQC roadmaps - Operate crypto-agile infrastructure - Run 24×7 “Quantum SWAT” hubs - Enforce central crypto governance and simulate breach scenarios - Maintain automated cryptographic inventories with retirement timelines 📊 Key Telecom Insights: - 76% of telecom firms are already working on or planning PQC adoption within 5 years - 3 in 5 believe Q-Day (when quantum computers break current encryption) will occur within a decade - 87% say industry-wide collaboration is critical to mitigate quantum threats - 45% are already running PQC pilots or feasibility studies - 68% say regulatory mandates would accelerate adoption 🧠 Yet, only 1 in 6 organizations globally are truly ready for this transition. The rest risk being caught in the “harvest-now, decrypt-later” trap, where today’s encrypted data is stolen and decrypted by tomorrow’s quantum machines. 🔍 Explore further to build crypto-agility, elevate quantum safety from a CISO concern to a boardroom priority, and join the growing community of telecom leaders shaping a quantum-safe future. Let’s connect to discuss how your organization can become a quantum-safe champion. https://lnkd.in/gkTv5RgX    #QuantumSafe #TelecomSecurity #PostQuantumCryptography Praveen Shankar Alain Acedo Ramírez Veronica Harding Amine ALI Tigran Voskanyan Andre Hooft Suresh Janakiraman Claus Lorenzen Shiladitya Neogi Gaurav Kolhe Sarah Wood Isabela Maria Skerratt Sacha Pulici James Taylor Rashmi Akolia Jason Myers Mikko Leino Jenna Shardlow Martin van Werkum Jenny Linnéa Ernström Giorgio La Spina