The defining storyline of Q2 2026 is a quantum industry in rapid transition: moving from outsized hype toward utility and commercial readiness. Vendor road maps signal that early fault-tolerant systems could arrive before the turn of the decade, while 53% of enterprise IT leaders already express high intent to invest in the technology – up from 46% a year ago. The research reveals a field maturing across every layer of the stack: error correction milestones are rewriting what near-term quantum hardware can do, and the software conversation has shifted from access to orchestration. Conversations with quantum CEOs surface a consistent message: quantum is delivering value—in optimization, simulation, and algorithm development—today. Organizations that choose to wait for quantum’s “ChatGPT moment” risk arriving late to a market already in motion.

Introduction

The second quarter of 2026 brought with it a wave of momentum across quantum computing, flush with hardware road maps, enterprise intent, and software announcements. Survey results show that quantum is no longer a technology of distant promise: enterprises are allocating budget, setting timelines, and seeking partners to help guide them through their first deployments. At the same time, the barriers of cost, immature tooling, and talent gaps remain real, but they are increasingly the focus of quantum innovators working to close them.

This inaugural edition of the 451 Research Quantum Quarterly brings together our latest analysis to track where the quantum industry stands, where it is headed, and what it means for your organization.

Fault-tolerant quantum is no longer a dream, it's a deadline

The quantum industry has accelerated in progress since its early, foundational roots. And, following 2025’s International Year of Quantum designation, the momentum has only grown. Quantum computing is advancing across the full stack—hardware, software, control electronics, developer tools, and access methods—with road maps signaling an ongoing acceleration that cements the 2020s as a pivotal decade for the technology. Today’s noisy, intermediate-scale quantum (NISQ) systems are already producing real-world results, while tomorrow’s error-corrected, fault-tolerant devices (expected within three to four years) are poised to usher in an entirely new computational paradigm. In a striking proof point for near-term quantum utility, an IBM team in partnership with Cleveland Clinic and RIKEN used two quantum systems paired with two classical supercomputers to model a 12,635-atom protein complex in May 2026.

The second half of 2026 promises a busy stretch for quantum vendors, particularly around the industry’s fall conference season. IBM leads the road map conversation, planning to release a larger Nighthawk processor capable of running circuits with 7,500 gates—up from 5,000 today—and to unveil a complete quantum module comprising a logical processing unit and quantum memory before year-end. IonQ is targeting more than 256 physical qubits and initiating its first logical qubit development, while players like Pasqal, QuEra, and Quantinuum are racing toward early logical qubit milestones of their own.

The years between 2026 and 2029 are positioned as pivotal with hardware vendors targeting large, error-mitigated systems and early fault-tolerant machines by the turn of the decade. In the Voice of the Enterprise: Digital Pulse, Emerging Technologies - Quantum Computing 2026 survey, 35.8% of IT leaders expect quantum to produce material business value within one to three years, and 27.5% expect it within three to five years—a timeline that aligns squarely with most vendor road maps. Commercial momentum is already visible: D-Wave reported record bookings of more than $33 million in Q1 2026, up 2,000% year over year. For organizations tracking quantum's trajectory, the window for preparation is now.

The middleware gap is where quantum wins — or stalls 

While 67% of IT decision-makers expect quantum to produce material business value within three years, expectation alone does not close the gap between hardware availability and practical deployment. A talent shortage and immature tooling remain the top structural barriers to quantum adoption, and they sit squarely in the software and middleware layer. Improving the execution layer can shrink the hardware requirements needed to run a given problem, meaning that better middleware directly extends the useful life of today's NISQ-era machines. The software conversation in quantum has shifted from mere access to orchestration: who can extract real results from current hardware, today, without waiting for fault-tolerant systems to arrive.

That opportunity is attracting a growing field of middleware specialists. Haiqu is one example: the Toronto-based startup launched HaiquOS in 2025, an agentic quantum operating system combining AI-powered use-case mapping, a developer SDK, and an orchestration engine, claiming 50x error mitigation efficiency over baseline. Its work spans drug discovery (with IBM, Capgemini, and GSK), derivatives pricing (with HSBC), and computational fluid dynamics (reaching the finals of the BMW-Airbus Quantum Mobility challenge).

For enterprises, the practical implication is clear: the path to near-term quantum value runs through the software stack, and the vendors building that layer deserve as much attention as the hardware makers.

Quantum CEOs see value today, not just on the horizon

In a string of conversations with quantum CEOs on the Next in Tech Podcast, 451 Research analysts explored architectures, qubits, and the software stack. D-Wave's Alan Baratz made a direct case that quantum is delivering value today—particularly through annealing for optimization—and that enterprises must move beyond classical heuristics to tackle computationally complex problems head-on. Dr. Theau Peronnin of Alice & Bob drilled into the hardware layer, explaining why qubit counts are a misleading benchmark: with current error rates on quantum computers at times more than 18 orders of magnitude above classical computers, the real work lies in managing noise and extending coherence times. Finally, Amir Naveh of Classiq shifted to the software stack with the perspective that nine years on from Qiskit, developers can now work at far higher levels of abstraction, targeting broad hardware without managing low-level circuit design.

Across all three conversations, the message was consistent: quantum is not a technology to watch from a distance. It is a platform to engage with now.

Listen to the full podcast series > 

IT’s take on quantum: aware, but not always acting

For IT professionals tasked with implementing new technology, quantum occupies an unusual position: widely recognized, but rarely prioritized. In Voice of the Enterprise qualitative interviews, practitioners ranged from fascinated-but-distant to deferential. Cost and skills gaps are the dominant structural barriers to engaging with quantum (42% and 34%, respectively), while hardware immaturity trails at 24%—a signal that the conversation has moved up the stack. Many IT leaders are still provisioning heavily for AI and GPU capacity, with quantum viewed as the next horizon in compute. Security-minded practitioners, meanwhile, are beginning to grapple with "harvest now, decrypt later" threats, in which adversaries collect encrypted data today for future quantum decryption.

Quantum awareness is real, but translating it into organizational readiness will require education, accessible tooling, and clearer use-case guidance from the vendor community.

Quantum drivers and blockers

The quantum computing market is set to grow by nearly 36% over the next five years, and the motivations driving enterprise interest reveal a lot about where organizations see quantum fitting into their long-term strategy. In 451 Research's Voice of the Enterprise: Digital Pulse, Emerging Technologies - Quantum Computing 2026 survey, the primary driver is long-term competitive advantage, cited by 52% of respondents, followed by innovation leadership and brand positioning (49%) and R&D priorities (44%). Interest also scales notably with company size: businesses with more than 1,000 employees report a median investment interest of 8 out of 10, compared with 6 for smaller organizations - a gap that suggests larger enterprises are already treating quantum as a strategic priority rather than a speculative one.

When it comes to accessing quantum, organizations are overwhelmingly turning to the platforms they already know. More than half of survey respondents (54%) plan to rely on cloud computing vendors such as AWS, Azure, and Google Cloud for quantum resources, and 56% expect to consult cloud vendors for strategy and advisory work—well ahead of private quantum hardware vendors (48%) and public quantum hardware vendors (45%). For enterprises still building their quantum literacy, the implication is practical: the cloud is the default on-ramp, and the hyperscalers that control it hold a structural advantage as the industry scales.

Looking Ahead

The quantum computing industry is moving fast, and the decisions organizations make in the next 12-24 months will shape their positioning for the decade ahead. Here are some key themes we're tracking heading into the second half of 2026 and beyond.

Fault-tolerant systems on the horizon: Most major hardware vendors have targeted 2027-2030 for fault-tolerant quantum computers. Watch for logical qubit milestones from IBM, Quantinuum, IonQ, and Alice & Bob as the industry closes in on that deadline.

The middleware layer as a competitive battleground: As hardware matures, the software and orchestration stack is becoming the key differentiator for near-term quantum value. New entrants and incumbents alike are racing to own this layer.

Cloud as the quantum on ramp: With 54% of enterprises planning to access quantum via cloud providers, hyperscalers are emerging as the dominant gateway. How AWS, Azure, and Google Cloud develop their quantum offerings will shape enterprise adoption patterns.

Quantum and AI convergence: More than half of surveyed enterprises expect to use quantum for machine learning and generative model training. The intersection of these two technologies is an area of active development—and active debate.

Post-quantum security timelines tightening: With "harvest now, decrypt later" threats already in play and Google setting a 2029 post-quantum cryptography deadline, organizations that have not yet begun migration planning are running out of runway.

Quantum supply chains and deployment requirements: Realizing quantum's full potential requires more than hardware breakthroughs. Data center construction, control electronics supply chains, cryogenic infrastructure, and installation logistics all represent emerging constraints.

We'll be tracking all of these themes and more as we share new research, market perspectives, and technology insights in the next edition of Quantum Quarterly.

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