Back to News
quantum-computing

A peek at IBM's practical approach to quantum computing - Constellation Research

Google News – Quantum Computing
Loading...
5 min read
0 likes
⚡ Quantum Brief
IBM’s quantum strategy prioritizes engineering over hype, with SVP Ric Lewis emphasizing practical use cases and believable roadmaps over press releases, targeting quantum advantage by 2026 and fault-tolerant systems by 2028–2029. The company’s roadmap includes hybrid classical-quantum systems, leveraging its leadership in AI and classical computing to solve complex problems, with client transactions already underway for quantum processing cycles. IBM’s ecosystem relies on Qiskit’s strong adoption and a predictable software stack, contrasting rivals’ overpromises, as analyst Holger Mueller notes steady architectural advances drive enterprise trust. Lewis dismissed quantum-as-replacement rhetoric, stressing hybrid systems’ strength, positioning IBM to dominate the 2030 market by combining classical, AI, and quantum capabilities under a unified approach. Constellation Research warns quantum’s real ROI remains five years away, favoring IBM’s understated execution over competitors’ valuations built on hype rather than qubit delivery, error correction, or scalability.
AI Audio Summary
0:00 / 0:00
Click to play
A peek at IBM's practical approach to quantum computing - Constellation Research

Summarize this article with:

A peek at IBM's practical approach to quantum computing Published November 25, 2025 Copy link Link Copied An IBM executive said the company's steady and practical approach to quantum computing will win out over the bluster that's emerging from multiple vendors. Speaking at an investor conference, Ric Lewis, senior vice president at infrastructure for IBM, was asked about Big Blue's approach to quantum computing. Lewis said quantum computing isn't about pumping out press releases as much as it is practical use cases and believable roadmaps. "We are taking a very practical, rational approach to it," said Lewis. "We're not expecting some scientific breakthrough at this point. It's a matter of engineering and execution to get where we need to go." IBM, Cisco aim to scale, network quantum systems IBM launches IBM Quantum Nighthawk processor Quantum computing pure plays duel with giants, rivals Lewis added: "When I watch other quantum people and what they're saying I watch for a few things. One, do they have a believable roadmap. Not a roadmap, not just an aspiration but have you shown through your progress over the last five years that's you're on a certain trajectory. Do you have a believable roadmap for the next several steps?" IBM's roadmap revolves around delivering quantum advantage in the next year and error correction and other capabilities later in the decade. "In '28, '29 we believe we'll be transacting on a system kind of level," said Lewis. "We're already transacting and we have clients that are buying cycles of quantum." Lewis said IBM's roadmap is predictable and features an ecosystem of partners and a software stack. IBM features Qiskit, quantum computing software that has solid adoption. Holger Mueller, an analyst at Constellation Research, said: "Technical breakthroughs in commercial production do not happen overnight, but are the result of a string of successful completions of architectural advances that get delivered on time and functionally working. That is what IBM has done over the last 2-3 years. That is the progress and fidelity enterprises want to see when adopting a new technology platform is no exception." Overall, Lewis said quantum computing is fragile and systems will need more resilience. He argued that combining classic and quantum techniques for error correction in quantum computing will be a practical approach to solving big problems. IBM Boosts the Software Side of Quantum IBM Embarks on a Fault-Tolerant Quantum Voyage Constellation ShortList™ Quantum Computing Platforms Constellation ShortList™ Quantum Full Stack Players "I also look for a philosophy that says quantum is not a replacement to classical," said Lewis. "When you combine them together, you end up with something very strong. And since we play strong in classical, we play strong in AI, and I think we're the leader in quantum, we're really well positioned for as the industry gets to this kind of 2030 time frame and all that TAM. So we're pretty bullish and excited about it, though cautious and practical. Just keep executing the road map, make our steps, and we're going to be in a really good spot." My take Lewis has a point regarding the bluster meter in quantum computing. I'll tend to listen more to executives that refrain from the trash talk. The reality is deployments at scale and returns on investment are probably five years away. Compute, networking and hybrid HPC-quantum systems are in the nascent stages. If you listen to quantum executives and the leading players, most companies are talking the same timelines. Bluster has led to bigger valuations for some of the pure plays and enabled them to build strong balance sheets despite paltry sales. I'm willing to bet we're entering a new quantum computing phase where being more understated plays better. In the end, you need to deliver the qubits, error correction, software stack and scalability over the press release count. Copy link Link Copied Larry Dignan Editor in Chief of Constellation Insights Constellation Research Larry Dignan is Editor in Chief of Constellation Insights at Constellation Research, where he leads editorial coverage focused on enterprise technology, digital transformation, and emerging trends shaping the future of business. He oversees research-driven news, analysis, interviews, and event coverage designed to help technology buyers and vendors navigate complex markets with clarity and context. ... Read more Results Insight News March 30, 2026 Microsoft 365 Copilot’s Researcher agent goes multi-model Data to Decisions Microsoft 365 Copilot's Researcher agent will take a multi-model approach where Anthropic's Claude will review responses drafted by OpenAI's ChatGPT in a feature called Critique. M...

Larry Dignan Insight News March 29, 2026 AI Forum 2026: There isn’t an easy button for AI Data to Decisions There isn’t an easy button for agentic AI and enterprises will need more discipline to implement it, not less. The difference between AI transformation and real returns is dependen...

Larry Dignan Insight News March 27, 2026 SAP acquires Reltio to build out SAP Business Data Cloud Data to Decisions SAP said it will acquire Reltio, a master data management firm, in a move that aims to bring more non-SAP data into its platform. ...

Larry Dignan Insight News March 26, 2026 Littlehorse’s McNealy on Business-as-Code, AI agents, orchestration Data to Decisions AI agents are extremely popular in the enterprise, but companies need to provide context and guardrails or they will run amok like an unsupervised and untrained new hire. We caught...

Larry Dignan Insight News March 26, 2026 Google hedges its quantum bets, ups quantum cryptography timelines Data to Decisions Google has hedged its bets on quantum computing and said it will expand its research into neutral atoms while maintaining its focus on superconductors. In addition, Google said it ...

Larry Dignan Insight News March 25, 2026 Google Research outlines algorithms that may ease AI memory squeeze Tech Optimization Google Research said it has created a set of algorithms that could reduce the need for a massive amount of memory for AI workloads. ...

Read Original

Tags

quantum-computing

Source Information

Source: Google News – Quantum Computing