The United States accelerates the “next-generation computing revolution”! GFS.US (GFS.US) finalizes US$375 million in quantum computing subsidies, new quantum forces simultaneously receive funding

The Zhitong Finance App learned that US chipmaker GFS.US (GFS.US) announced on Tuesday that it has finalized a final agreement with the US Department of Commerce's “Chip Act” R&D office to receive US$375 million in R&D funding to accelerate the development trajectory of its quantum technology solutions (QTS) business. GF's business aims to help expand the scale of semiconductor manufacturing based on quantum computing in the US and consolidate America's position at the forefront of the global “next-generation computing revolution” — that is, an absolute leader in quantum computing technology.

At about the same time, the stock price of Rigetti Computing (RGTI.US), the new generation of large-scale quantum computing forces in the US, surged nearly 10% during the early trading period, D-Wave Quantum (QBTS.US) also surged nearly 10%, and Quantinuum (QNT.US) stock price rose more than 5%. Three emerging quantum computing companies also announced on Tuesday that they had signed a final agreement with the US Department of Commerce to accelerate R&D projects related to superconducting quantum computers Key technical challenges in large-scale expansion and development.

The US government can be described as striving to gain a long-term leading position. The allocation of funds shows that it places particular emphasis on mastering the core manufacturing base of quantum computing. IBM and GF together totaled US$1,375 million, accounting for about 68.3% of the total. IBM plans to invest 1 billion US dollars in cash to bring the initial cash investment of the Anderon project to 2 billion US dollars and build a 300 mm quantum foundry platform to serve IBM and external customers. It can be seen from this that the US wants to simultaneously occupy a key position in quantum chip technology, manufacturing capacity, supply chain, and commercial ecology, rather than just betting on a breakthrough by a quantum computing company. The quantum administrative action announced in June further emphasized national strategies, trusted supply chains, and industrialization.

According to this subsidy agreement, US chipmaker GF is eligible to receive up to US$375 million in five years, with specific grants linked to the achievement of specified milestones. Benefiting from the stimulus and rising bullish sentiment brought about by this quantum computing-related government subsidy, GF's stock price rose more than 3% during the initial trading session of the US stock market.

For investors, the value of this round of policy subsidies is to reduce financing constraints for R&D and manufacturing expansion and increase the visibility of industrialization. GF and quantum foundry platforms can serve a variety of technology routes; next-generation quantum companies receive funding to advance error correction, large-scale control, and system integration. The amount of subsidies, the amount of qubits, and commercial revenue are still different indicators: what really determines long-term valuation is whether reliable systems can be manufactured and provide a practical advantage over classical computation in economically valuable tasks.

GF said the agreement promoted the achievement of the long-term goal of establishing a secure, American-based quantum computing chip development and manufacturing ecosystem.

Through the quantum technology solutions business, the company is speeding up R&D, expanding the availability of advanced manufacturing capabilities, and enabling quantum computing companies to move from research and prototype development to commercial-scale production.

The company also recently announced that it has signed a letter of intent worth 300 million US dollars with the US Department of Commerce's “Chip Act” R&D office to speed up the R&D process in the field of silicon photonic computing.

GF - one of the biggest beneficiaries of the US government's “return to chip manufacturing” policy

GF is one of the important beneficiaries of the United States' promotion of localization of chip manufacturing. In particular, it has a strategic position in mature chip manufacturing processes above 10 nm, customized characteristic processes, and key supporting chips. The company has an established manufacturing base in New York and Vermont to handle the local procurement needs of automotive, communications, aerospace and defense customers. Policy support spans two administrations: in 2024, the US Department of Commerce finalized manufacturing subsidies of up to 1.5 billion US dollars; in 2025, GF announced a partnership with the Trump administration to advance a total investment plan of 16 billion US dollars in manufacturing, advanced packaging, and R&D in the US.

GF's main competitive route is not the 3nm or lower advanced logic manufacturing process focused on by TSMC and Intel, but rather a customized manufacturing process with differentiated characteristics. Its manufacturing platforms mainly include 12 nm fin transistors (FinFETs), 22 nm fully depleted silicon on insulators (FD-SOI), as well as radio frequency, silicon germanium (SiGe), power management, and customized silicon photonics technology. Compared with TSMC, Samsung, and Intel's investment in advanced logic processes, GF places more emphasis on energy efficiency, RF performance, voltage resistance, reliability, and manufacturing costs required for specific applications; it can also support cutting-edge process AI computing power accelerators on the edge side.

GF benefits from the direct path of AI computing power expansion, which is a high-speed interconnection and power supply upgrade for data centers. Large-scale AI GPU/TPU.XPU clusters require higher bandwidth and lower transmission power consumption to drive demand for silicon photonics (Silicon Photonics), near-package optics (NPO), and co-package optics (CPO); GF's $300 million R&D funding letter of intent signed in July was invested in these fields, and its scale platform targets 400Gb/s performance. In terms of data center power chips, Nanowei Semiconductor previously announced on September 1 that fifth-generation GaNFast products manufactured using GF's US 200mm silicon-based gallium nitride process will begin shipping the first batch of wafers in September. The two businesses correspond to the AI clusters “how to efficiently transmit data” and “how to efficiently convert electricity”, enabling GF to participate in the growth of AI infrastructure.

The quantum business has added another long-term manufacturing opportunity for GF. Its Quantum Technology Solutions Business (QTS) program covers quantum processing units (QPUs), low temperature readout and control chips, and advanced packaging and superconducting interconnects, and supports various quantum computing technology routes. This positioning is useful for serving different quantum computing developers and turning laboratory prototypes into repeatable and scalable manufacturing processes. The current capital of up to 375 million US dollars will be disbursed according to milestones within five years, helping to drastically reduce the pressure on the R&D capital chain.

The next computing revolution

This round of quantum computing support from the US Department of Commerce essentially uses “R&D funding+government shareholder+local manufacturing” to compete for dominance in the next-generation computing industry. On May 21, 2026, the Ministry of Commerce announced funding intentions for 9 companies totaling US$2,013 billion, covering two quantum chip manufacturing platforms, including GF, and seven quantum computing developers — including IBM's quantum foundry projects Anderon, GF, Atom Computing, D-Wave Quantum, Infleqtion, PSIQuantum, Quantinuum, Rigetti Computing, and Diraq, by “Chip” The Office of Research and Development within the framework of the Science Act is responsible. The core goal is to move quantum computing from laboratory prototypes to fault-tolerant systems with practical application value, and at the same time establish manufacturing and supply chain capabilities in the US; these arrangements also include conditions for the government to obtain minority and non-controlling interests in funded entities.

GF's current agreement of up to 375 million US dollars focuses on “how to manufacture quantum chips on a large scale.” The funds will be disbursed within five years according to specified milestones for quantum technology solutions, including quantum chip manufacturing, low temperature control and readout circuits, advanced packaging and interconnection. The ability of quantum companies to make experimental prototypes does not mean that they can stably and repeatedly manufacture a large number of devices with consistent performance; GF's role is to transform these laboratory designs into replicable manufacturing processes and lower the industry's threshold from R&D to mass production.

Recent developments show that some projects have moved from funding intentions to formal agreements. Before the US stock market on September 8, Rigetti, Quantinium, and D-Wave each announced the implementation of the relevant agreement. Quantinuum has also selected GF as one of its manufacturing partners for next-generation ion traps and control electronics, using a 300 mm wafer process. This shows that GF not only directly receives support for manufacturing research and development, but may also benefit from technical cooperation and subsequent production needs of funded quantum companies. The policy is linking quantum machine research and development with upstream manufacturing.

Quantum computing is regarded as an important research and exploration direction for the “next-generation computational revolution.” Its theoretical basis is quantum superposition, entanglement, and interference. The classical bit value is 0 or 1, and the qubit can be in a superposition state of the two; multiple qubits form a joint state through entanglement, and the algorithm uses quantum gates to control interference to increase the probability of measuring the target result. Although the n qubit state description involves 2ground states, this does not mean that all answers can be read at the same time, nor does it mean that all tasks will be exponentially accelerated. Its breakthrough potential is mainly reflected in specific problems such as molecular and material simulation and large integer decomposition; to complete long-term and reliable calculations, quantum error correction is also required to organize error-prone physical qubits into reliable logical qubits. In the future, it is more likely that a system of collaboration between quantum computing and classical computing will be formed.