Quantum Computing Reaches Historic Turning Point: Moving Beyond "Physical Experiments," Supply Chain and Manufacturing Become Key to Success

The quantum computing industry is undergoing a profound paradigm shift. According to Jefferies, the core challenge of the industry has transitioned from "can we make good qubits" to "can we use these qubits to build a truly usable computer." This shift means that the center of competitive advantage is moving from pure physics innovation towards comprehensive system engineering, manufacturing control, and ecosystem deployment.

According to Trading Desk News, the Jefferies analyst team released a report after attending the Quantum World Congress (QWC), stating that the industry's "scoreboard" is being rewritten: logical qubit performance, error correction overhead, circuit depth, decoding latency, network interconnection, and system-level integration have become the core metrics for measuring progress. Meanwhile, the US Department of Energy Project Office is leading the formulation of unified measurement standards, with the government's role shifting from funder to industry rule-maker.

The report also points out that the National Quantum Initiative Reauthorization Act (NQI Reauthorization Act) is expected to be passed soon, which will serve as a positive catalyst for companies with existing 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 repeatable manufacturing, supply chain resilience, and system integration capabilities will gain a head start in the commercialization race. Jefferies maintains an overall positive rating for the quantum sector, viewing the industry's shift towards measurable, system-level milestones as providing a clearer path to commercialization for investors.

Government Reshapes Industry Standards, Federal Funding Tied to Performance

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

Jefferies’ report notes that classical computers make an error about once every 10¹⁶ operations, while the fully fault-tolerant goal for quantum is currently defined at the 10⁶ level, with 10⁹ still considered high. The gap between “the existence of logical qubits” and “logical qubits outperforming physical qubits” remains the real status quo in this field.

The significance of government intervention lies in breaking the routine of self-endorsement by companies. Third-party projects now require companies to provide data on logical error rates, gate fidelity, fault-tolerant operations, circuit depth, and effective scientific workload, making it difficult for companies to get by on self-selected benchmarks. Funding models are also shifting—initial capital is used for tool development, with remaining funds only unlocked based on reaching R&D milestones.

Notably, commercial validation is now driving government demand in reverse, rather than following the traditional government-led model. The executive order issued in June this year further brought new buyers to the market who had not previously evaluated quantum technologies. The National Quantum Initiative Reauthorization Act also requires the formulation of an international quantum cooperation strategy, brings the State Department into the interagency subcommittee, and extends authorization to 2034. Jefferies believes the supply chain provisions in the act directly support IonQ (IONQ)'s push for vertical integration through SkyWater.

Rise of Distributed Architecture, Quantum Networks Move from Concept to Reality

The issue of scalability for single quantum processors was one of the most heavily discussed topics at this year’s QWC.

Jefferies’ report states that as constraints such as control complexity, cryogenic requirements, wiring, laser transmission, calibration, yield, crosstalk, and physical size become more apparent, more companies expect the ultimate solution to involve multi-processor network interconnections—much like how classical computing clusters are formed by connecting multiple processors via high-speed networks.

This architectural shift will have a significant impact on the value chain. Monolithic machines concentrate value in qubits, control systems, cryogenic refrigeration, and software; while distributed machines introduce a new layer of infrastructure including quantum storage, converters, photonic interconnects, switching, entanglement distribution, network control, and distributed compilation. Jefferies believes that IONQ, with its continued investment in network and photonic interconnection, is a major beneficiary of this trend.

Meanwhile, the heterogeneous architecture of CPU+GPU+QPU has been confirmed by QWC as the most likely final state. IONQ announced its Superion 256 system will connect directly to NVIDIA GB200 NVL72 via NVQLink, and QNT’s technology stack similarly supports the simultaneous execution of classical and quantum code, with classical tasks running on GPUs. This architecture embeds quantum computing into the existing high-performance computing and data center ecosystem, rather than requiring enterprises to start from scratch—greatly lowering the commercialization threshold.

Manufacturing and Supply Chain Become Core Competitive Variables

The competitive focus in quantum computing is shifting from the laboratory to the factory floor.

Citing a global supply chain study covering 160 quantum companies, Jefferies reports that 90% of companies rely on at least one overseas supplier, and 74% serve overseas customers. As QPU output grows from five to fifty and even thousands of units, repeatable manufacturing, packaging processes, component availability, and laser stability will become critical differentiators.

Supply chain bottlenecks are categorized into two types: (1) quantum-specific components, which are scarce, and in some cases, have only a single supply source; (2) standard electronic components, whose main issue is lead time. Key minerals such as indium and gallium are produced in insufficient quantities in the US, while fiber optics, lenses, and micro-optical devices force quantum companies to compete directly with hyperscale cloud service providers for bulk supplies. The report highlights talent as the most difficult supply chain bottleneck to resolve.

As for strategies, Jefferies sees Quantinuum, IONQ, and Rigetti Computing as having relative advantages. Quantinuum has established a credible mass production path through long-term supplier relationships and structured manufacturing partnerships, without bearing the burden of heavy capital investment in their own capacity. IONQ has achieved vertical integration via its acquisition of SkyWater, allowing it to control its technology roadmap and accelerate iteration. Rigetti Computing also owns its own fab, helping control the roadmap and development cycle.

In addition, Jefferies is bullish on investment opportunities at the quantum “infrastructure” layer. Cryogenic refrigeration infrastructure was a key theme on the expo floor, and the report anticipates that advances in cryogenic CMOS, high-density I/O, multiplexing, packaging, and automated testing will create significant opportunities for traditional semiconductor and equipment suppliers.

Commercialization progress was evident at QWC and also provided some interim support for the industry’s long-term narrative. Quantinuum announced it would deploy a Superion 256 system at the Florida International University (FIU) campus, effectively validating the localized system sales model. D-Wave Quantum (QBTS) announced a partnership with CGI, bringing its Advantage2 system and hybrid solvers into CGI’s product portfolio. Jefferies notes that QBTS already has an advantage that most gate-based vendors lack—a ready-to-use system that customers can employ today for certain optimization workloads.