From Quantum Breakthrough to Business Reality
Image credit: Markus Distelrath from Pixabay.
Quantum technologies have long promised to revolutionise computing, sensing and secure communications. But between a breakthrough in the lab and a product in the marketplace lies a complex, often misunderstood journey.
In his lecture, “The Pathway to Commercial Implementation of Quantum Technologies,” Paul Ceely, from Digital Catapult, unpacked what it really takes to move quantum technologies from scientific achievement to viable commercial solutions. Ceely focused not on the physics itself, but on the crucial question: how do we turn quantum potential into economic and societal value?
From quantum research to real-world impact
Quantum computing and quantum sensing have seen remarkable scientific progress in recent years. However, Ceely emphasised that technical capability alone is not enough.
“There’s often an assumption that if a technology is powerful enough, a market will naturally appear,” he explained in our interview following his QAMSS talk. “In reality, commercialisation is a deliberate, structured process. You have to work backwards from user needs, not forwards from the technology.”
This shift in perspective is critical. Instead of asking, “What can quantum technologies do?” companies and researchers must ask, “What problems do customers urgently need solved, and can quantum technologies solve them better than existing solutions?”
Ceely described this as identifying the “commercial wedge”: the narrow but meaningful point where a breakthrough technology can outperform current approaches in a way customers are willing to pay for.
“In emerging technologies like quantum, it’s rarely about replacing everything overnight,” he said. “It’s about finding that first viable application where the value is clear and defensible.”
Identifying quantum computing use cases that matter
In the realm of quantum computing, the excitement often centres on transformative possibilities: breaking encryption, accelerating drug discovery or optimising global supply chains. But Ceely cautioned against jumping too quickly to grand visions.
“Many proposed use cases sound impressive,” he noted, “but when you examine them closely, the timelines, cost structures or integration challenges make them commercially unrealistic in the near term.”
A more pragmatic approach involves rigorous evaluation of potential customers and sectors. Who has a high-value problem today? What are they currently spending to address it? And how might quantum computing integrate into their existing workflows?
Ceely highlighted the importance of co-development with industry partners. “You can’t develop quantum solutions in isolation,” he said. “Engaging early with end users helps shape the technology toward something that’s actually deployable.”
This requires interdisciplinary collaboration: physicists, engineers, software developers, business strategists and domain experts working together from the outset.
“Commercial success isn’t just about scientific brilliance,” Ceely emphasised. “It’s about systems thinking.”
Quantum sensing: A shorter path to market?
While quantum computing captures headlines, quantum sensing may offer nearer-term commercial opportunities. Quantum sensors can detect extremely small changes in gravity, magnetic fields or time, enabling applications in navigation, infrastructure monitoring and environmental measurement.
“Quantum sensing is interesting because, in some cases, the performance advantage is already tangible,” Ceely explained. “You’re not waiting decades for fault-tolerant quantum computers. Some sensing technologies are close to being deployable now.”
However, even here, the commercial pathway is not automatic.
“It’s not enough that a sensor is more sensitive,” he said. “It has to be robust, affordable and integrable into existing systems. Otherwise, customers won’t adopt it.”
He described how early-stage companies often underestimate the engineering and certification work required to move from a laboratory prototype to a field-ready product. Environmental durability, user interface design, supply chain considerations – all can become bottlenecks.
“The physics may work beautifully,” Ceely noted, “but if the device can’t survive real-world conditions or doesn’t fit into operational workflows, it won’t scale.”
Common pitfalls in commercialising deep tech
Throughout his lecture, Ceely returned to recurring pitfalls that affect emerging technologies, particularly in deep tech sectors like quantum technologies.
One major trap is “technology push”, developing capabilities in search of a problem.
“Scientists are trained to explore what’s possible,” he said. “But markets reward what’s useful.”
Another pitfall is misjudging timelines. Quantum technologies often require long development cycles, and overpromising can damage credibility with investors and customers alike.
“There’s a delicate balance between ambition and realism,” Ceely explained. “If expectations are inflated, disappointment can stall progress across the whole ecosystem.”
He also stressed the importance of understanding regulatory, ethical and security implications early on. In fields like quantum cryptography or national infrastructure sensing, these considerations are not afterthoughts; they shape market access.
“Commercialisation doesn’t happen in a vacuum,” he said. “It’s embedded in policy, standards and public trust.”
Building a sustainable quantum innovation ecosystem
As part of Digital Catapult, Ceely works at the interface between emerging technologies and industry adoption. His role involves helping organisations de-risk innovation by providing testing environments, industry connections and structured methodologies.
“We act as a bridge,” he explained. “Start-ups and researchers often need support to engage with large enterprises. At the same time, corporates need safe ways to experiment with cutting-edge technologies.”
This ecosystem approach is particularly important in quantum technologies, where infrastructure costs can be high and expertise is scarce.
“No single company can do this alone,” Ceely said. “Collaboration across academia, industry and government is essential.”
He believes that structured frameworks for evaluating use cases, including market analysis, technical feasibility assessments and stakeholder mapping, can significantly increase the likelihood of success.
“Commercialisation shouldn’t be an afterthought,” he argued. “It should be considered alongside the science from day one.”
The long view: Patience and pragmatism in quantum technologies
Despite the challenges, Ceely remains optimistic about the future of quantum technologies. But his optimism is grounded in pragmatism.
“These are transformative technologies,” he said. “But transformation doesn’t happen overnight. It’s iterative.”
He sees progress not as a single disruptive leap, but as a series of incremental integrations into existing systems, each building confidence, capability and market familiarity.
His message is both encouraging and sobering. The quantum revolution will not be driven by physics alone. It will depend equally on market insight, customer engagement and disciplined commercial strategy.
“The science is extraordinary,” Ceely concluded. “Our task now is to connect that science to real problems in a way that creates sustainable value.”
As quantum technologies continue to mature, that connection between possibility and practicality may prove to be the most important breakthrough of all.
About the interviewee
Paul Ceely is responsible for the medium to long-term technology strategy for Digital Catapult, looking at the future digital technology landscape and identifying priority areas to focus on. In addition, he leads emerging technology within Digital Catapult including quantum technologies and digital security.
Paul has over 25 years’ experience in technology strategy and network strategy, covering mobile, internet, security, quantum and technology evolution in general. He led network strategy in the operators BT and EE in the UK, developing the 5G strategy for BT, was instrumental in the strategy for EE’s 4G launch in 2012, as well as taking a leading role in the network strategy during the merger of BT and EE, and Orange and T-Mobile to become EE. He played a fundamental role in the setup of SONIC Labs, a Department for Culture, Media and Sport (DCMS)-funded facility and collaborative programme for testing the interoperability and integration of open, multi-vendor, software-centric networks. He graduated from Cambridge University in Physics, focusing on astrophysics and quantum.
By Dr Karen Steward