The quantum computing sector is undergoing a profound paradigm shift. Jefferies believes the industry's core challenge has moved from "can we build a good qubit" to "can we use those qubits to build a genuinely usable computer," a transition that means the center of competitive advantage is migrating wholesale from pure physics innovation toward systems engineering, manufacturing control, and ecosystem positioning.

According to a report from Jefferies' analyst team following their participation in the Quantum World Congress (QWC), the industry's "scoreboard" is being rewritten: logical qubit performance, error correction overhead, circuit depth, decoding latency, network interconnect, and system-level integration have become the core metrics for measuring progress. At the same time, the U.S. Department of Energy's program office is leading the effort to establish unified measurement standards, with the government's role upgraded from fund provider to industry rule-maker.

The report also notes that the National Quantum Initiative Reauthorization Act (NQI Reauthorization Act) is expected to pass in the near term, which would serve as a positive catalyst for companies already holding federal contracts — including D-Wave Quantum (QBTS), Quantinuum (QNT), and Rigetti Computing (RGTI).

The implications of this shift for investors are clear and direct: companies that can build barriers in manufacturing repeatability, supply chain resilience, and system integration capability will seize the upper hand in the commercialization race. Jefferies maintains an overall positive rating on the quantum sector, believing the industry's transition toward quantifiable, system-level milestones is offering investors a clearer path to commercialization.

Government Reshapes Industry Standards as Federal Funding Ties to Performance

The quantum industry has long lacked a unified evaluation framework, and this situation is changing.

The Jefferies report points out that classical computers produce an error only about once every 10¹⁶ operations, while the full fault-tolerance target in the quantum realm is currently defined at the 10⁶ order of magnitude, with 10⁹ still regarded as a relatively high level. The gap between "logical qubits exist" and "logical qubits outperform physical qubits" remains the true state of affairs in the field.

The significance of government intervention lies in breaking the convention of corporate self-endorsement. Third-party programs now require companies to provide data on logical error rates, gate fidelity, fault-tolerant operations, circuit depth, and effective scientific workloads, making it difficult for companies to get by relying on self-selected benchmarks. The funding model has also shifted accordingly — upfront capital is used for tool-building, while the remainder must be unlocked upon reaching R&D milestones.

Notably, commercial validation is now pulling government demand rather than the previous government-led model. An executive order issued in June of this year brought buyers into the market who had not previously evaluated quantum technology. The National Quantum Initiative Reauthorization Act further requires the development of an international quantum cooperation strategy, incorporates the State Department into an interagency subcommittee, and extends authorization through 2034. Jefferies believes the supply chain provisions in the bill provide direct support for IonQ (IONQ)'s vertical integration strategy through SkyWater.

Distributed Architecture Rises as Quantum Networking Moves from Concept to Reality

The question of the scaling limits of a single quantum processor became one of the most heavily discussed topics at this year's QWC.

The Jefferies report notes that as constraints such as control complexity, cooling requirements, wiring, laser transmission, calibration, yield, crosstalk, and physical size gradually emerge, a growing number of companies expect the eventual solution to involve multi-processor network interconnection — mirroring the logic in classical computing where multiple processors form clusters through high-speed networks.

The reshaping of the value chain by this architectural shift cannot be overlooked. Monolithic machines concentrate value in qubits, control systems, cryogenic cooling, and software; distributed machines, however, add entirely new infrastructure layers including quantum memory, converters, photonic interconnect, switching, entanglement distribution, network control, and distributed compilation. Jefferies believes IonQ (IONQ), with its continued investment in network interconnect and photonic interconnect, is a primary beneficiary of this trend.

At the same time, the heterogeneous architecture of CPU+GPU+QPU has been confirmed by QWC as the most likely end state. IonQ (IONQ) announced that its Superion 256 system will connect directly to NVIDIA GB200 NVL72 through NVQLink, and Quantinuum (QNT) 's technology stack follows the same logic, supporting classical and quantum code running synchronously, with the classical portion executing on GPUs. This architecture embeds quantum computing into existing high-performance computing and data center ecosystems rather than requiring enterprises to start from scratch, thereby significantly lowering the barrier to commercialization.

Manufacturing and Supply Chain Leap to Become Core Competitive Variables

The center of competition in quantum computing is shifting from the laboratory to the factory floor.

Jefferies cites a global supply chain study covering 160 quantum companies showing that 90% of companies rely on at least one overseas supplier, and 74% serve overseas customers. As QPU production scales from 5 units to 50 units and even thousands of units, repeatable manufacturing, packaging processes, component availability, and laser stability will become key differentiating factors.

Supply chain bottlenecks are divided into two categories: first, quantum-specific components, which are scarce in supply and in some cases effectively single-sourced; second, standard electronic components, where the main issue is lead times. Critical minerals such as indium and gallium are insufficiently produced domestically in the United States, while fiber optics, lenses, and micro-optics put quantum companies in direct competition with hyperscale cloud service providers for commodity supply. The report specifically notes that talent is the most difficult bottleneck to resolve in the supply chain.

In terms of response strategies, Jefferies believes Quantinuum (QNT), IonQ (IONQ), and Rigetti Computing (RGTI) hold relative advantages. Quantinuum (QNT) has established a credible path to volume production through multi-year supplier relationships and structured manufacturing partnerships without bearing the pressure of asset-heavy self-built capacity; IonQ (IONQ) achieved vertical integration through its acquisition of SkyWater to control its technology roadmap and accelerate iteration speed; Rigetti Computing (RGTI) likewise owns its own fab, which helps control its roadmap and iteration pace.

In addition, Jefferies is also bullish on investment opportunities at the quantum "infrastructure" level. Cryogenic cooling infrastructure was a major theme on the exhibition floor at this year's congress, and the report expects progress in cryogenic CMOS, high-density I/O, multiplexing, packaging, and automated testing to create considerable opportunities for traditional semiconductor and equipment suppliers.

Commercialization progress was reflected at QWC, providing interim support for the industry's long-term narrative. Quantinuum (QNT) announced it will deploy a Superion 256 system on the campus of Florida International University (FIU), providing effective validation for the localized system sales model. D-Wave Quantum (QBTS) announced a partnership with CGI to incorporate its Advantage2 system and hybrid solvers into CGI's product portfolio. Jefferies notes that D-Wave Quantum (QBTS) already possesses an advantage most gate-model vendors lack — a ready-made system that customers can use today for certain optimization workloads.