QpiAI has opened a quantum processor manufacturing facility in Bengaluru, India, capable of producing superconducting quantum chips with up to 128 qubits today, with ambitious plans to scale to 10,000 physical qubits by 2027. The company's $20 million to $25 million investment in the foundry represents a significant bet that quantum computing's future depends on bringing chip fabrication in-house rather than relying on traditional semiconductor manufacturers.

Why Is a Quantum Chip Foundry in India Such a Big Deal?

Most quantum computing companies outsource their chip manufacturing to conventional semiconductor foundries, but QpiAI founder and CEO Nagendra Nagaraja argues this approach is holding the entire industry back. "Quantum computing today is being held back because there is not enough innovation in manufacturing," Nagaraja stated. Quantum processors require specialized materials, fabrication processes, and packaging techniques that differ fundamentally from those used for conventional computer chips. Traditional foundries simply cannot produce all the specialized components quantum systems need.

Nagendra Nagaraja

The Bengaluru facility, which QpiAI describes as the largest quantum foundry of its kind in Asia, includes Class 100 and Class 1,000 clean-room areas and handles the full device manufacturing process in-house. This vertical integration allows the company to control quality, iterate faster, and develop the specialized peripheral chips and sensors that quantum systems require. The foundry is part of a larger 70,000-square-foot research and development center that also contains processor testing facilities and quantum-solutions development labs.

What Types of Quantum Processors Is QpiAI Building?

QpiAI currently focuses on superconducting qubits, which are electrical circuits that display quantum behavior when cooled to temperatures near absolute zero. The company has fabricated four distinct processor designs to date:

• QVidya: An eight-qubit transmon-based processor representing the company's entry-level system
• Indus: A 25-qubit transmon processor offering mid-range quantum processing capability
• Kaveri: A 64-qubit transmon processor that demonstrates the company's ability to scale superconducting designs
• Yukti: A nine-qubit processor based on QpiAI's fluxonium technology variation, showing particular promise for error-corrected logical qubits

The distinction between transmon and fluxonium qubits matters because different designs have different strengths. Yukti's performance on error correction is especially significant because building useful quantum computers ultimately requires combining many physical qubits into fewer, more reliable logical qubits that can withstand noise and errors.

How Does QpiAI Plan to Reach 10,000 Qubits?

The company's roadmap involves completing a third manufacturing phase in 2027 that will increase the foundry's capacity to produce processors containing as many as 10,000 physical qubits. However, QpiAI acknowledges that qubit count alone does not determine a quantum computer's usefulness. Error rates, coherence time, connectivity between qubits, gate performance, and the ability to operate large numbers of qubits together are equally important factors. The company plans to invest an additional $10 million to $15 million to support this expansion and develop its proposed Quantum Supremacy Centres.

QpiAI also intends to localize its supply chain as production increases. Currently, about 20 percent of the company's inputs are imported, but the company aims to reduce this dependency, particularly where reliance on imported components could constrain manufacturing capacity.

What Are Quantum Supremacy Centres and Why Do They Matter?

QpiAI's longer-term vision extends beyond manufacturing chips. The company plans to build Quantum Supremacy Centres, or QSCs, which would combine error-corrected quantum processors with clusters of artificial intelligence chips. Nagaraja describes these facilities as "quantum AI factories" designed to develop commercial applications capable of demonstrating quantum advantage, which refers to a quantum computer performing a useful computational task better than available conventional computers.

Nagaraja

The company's first proposed QSC would occupy a 10-acre site with approximately 300,000 square feet of built space. QpiAI also plans to establish four additional centers outside India, though the company has not yet disclosed their locations, investment requirements, or timelines. The Middle East, Southeast Asia, and the United States are identified as initial export markets for the company's technology.

How to Understand QpiAI's Role in India's Quantum Ecosystem

• Government Support: QpiAI was the first company backed through India's National Quantum Mission startup program, receiving $32 million in Series A funding in 2025 led by Avataar Ventures and the National Quantum Mission itself
• Industry Recognition: HCL co-founder Ajai Chowdhry, who chairs the Mission Governing Board of India's National Quantum Mission, spoke at the facility's inauguration and highlighted how QpiAI's combination of quantum computing and artificial intelligence positions the company for a future where large conventional computing infrastructure operates alongside quantum systems
• Global Presence: Founded in 2019, QpiAI develops quantum processors, control systems, software, and applications combining quantum computing and AI, with offices in Finland, the United States, and Singapore in addition to its Bengaluru headquarters

"Quantum computing today is being held back because there is not enough innovation in manufacturing," said Nagendra Nagaraja.

Nagendra Nagaraja, Founder and CEO at QpiAI

The opening of QpiAI's foundry reflects a broader challenge facing the quantum computing industry. Today's quantum systems remain constrained by errors and limited scale, and researchers continue working on hardware improvements and quantum error correction before large fault-tolerant machines can be deployed commercially. By bringing manufacturing in-house and combining quantum processors with AI infrastructure, QpiAI is betting that the path to quantum advantage runs through better hardware fabrication and integrated quantum-AI systems rather than incremental improvements to existing designs.