QpiAI: Building India’s Full-Stack Quantum Computing Ecosystem

India’s emergence as a serious participant in quantum computing depends on more than producing an experimental quantum processor. A usable quantum computer requires specialised chips, ultra-low-temperature equipment, microwave control electronics, readout systems, compilers, software-development tools, classical computing infrastructure and applications capable of translating quantum calculations into practical results.

Bengaluru-based QpiAI is attempting to develop these layers as one integrated platform. Instead of concentrating exclusively on quantum processors or software, the company is building superconducting quantum hardware, control and readout electronics, quantum compilers, cloud-based development environments, artificial-intelligence tools and industry-focused applications.

This vertically integrated approach has made QpiAI one of the most significant companies in India’s emerging quantum-technology ecosystem.

From Artificial Intelligence to Quantum Computing

QpiAI was established in Bengaluru in 2019 with the objective of combining artificial intelligence, quantum computing and high-performance classical computing. Its multidisciplinary team works across superconducting electronics, semiconductor technology, device physics, quantum algorithms, machine learning, software engineering and high-performance computing.

The company’s central idea is that quantum computers will initially operate alongside conventional processors rather than replace them. Complex workloads can be divided between central processing units, graphics processing units, artificial-intelligence models and quantum processing units. Each type of processor handles the portion of the problem for which it is best suited.

QpiAI therefore describes its systems as hybrid quantum–classical computing platforms. Quantum processors are connected to conventional high-performance computing infrastructure, while software manages job scheduling, circuit compilation, data exchange and result analysis. This structure is intended to make quantum computing more accessible to companies that already operate conventional data centres and cloud platforms.

Indus: India’s First Full-Stack Quantum Computing System

QpiAI achieved a major milestone with the development of QpiAI Indus, a 25-qubit superconducting quantum computer.

In April 2025, the Department of Science and Technology described Indus as India’s first full-stack quantum computing system. The platform brought together a superconducting quantum processor, scalable control electronics, quantum software and Quantum-HPC tools within a single integrated architecture.

Superconducting quantum computers use microscopic electrical circuits that behave as artificial atoms when cooled to temperatures close to absolute zero. These circuits can be controlled as quantum bits, or qubits, using carefully generated microwave signals.

The Indus system includes a closed-cycle cryostat capable of reaching a base temperature of approximately 10 millikelvin. The quantum processor is installed inside a shielded package and connected to specialised attenuators, filters, amplifiers and cryogenic wiring. These components protect the fragile quantum states from thermal energy, electrical interference and external electromagnetic noise.

QpiAI also developed QpiAISense, a modular electronics platform for controlling and measuring superconducting qubits. The system directly generates microwave signals for qubit control and readout and connects the physical processor to higher-level software libraries.

A resource-aware compiler converts quantum algorithms into instructions and native gate-level pulses that the hardware can execute. Applications can then communicate with the quantum computer through cloud or on-premise application-programming interfaces.

Kaveri: The 64-Qubit Quantum Processor

QpiAI followed Indus with Kaveri, a 64-qubit superconducting quantum processor unveiled in November 2025.

Kaveri uses the company’s superconducting flip-chip integration architecture. In this configuration, the qubit layer and the electrical interconnection layer are manufactured separately and joined together. Separating these layers can provide greater flexibility in processor design, reduce unwanted electrical interactions and support denser qubit arrangements.

According to QpiAI, the Kaveri architecture incorporates wafer-scale fabrication, low-loss interconnections and a two-dimensional qubit lattice supported by three-dimensional integration. The company has targeted coherence times of around 100 microseconds for the processor.

Coherence time indicates how long a qubit can retain useful quantum information before noise causes the state to deteriorate. Increasing coherence, improving gate fidelity and reducing readout errors are essential for executing longer and more complex quantum circuits.

The Government of India has identified Kaveri as an important outcome of the National Quantum Mission. Official information released in 2026 stated that QpiAI had created a scalable 64-qubit quantum processing unit intended to support the pursuit of quantum advantage in real-world applications.

Moving Towards Quantum Error Correction

Present-day quantum computers remain highly vulnerable to environmental noise and operational errors. A single physical qubit cannot reliably preserve information for the extended periods required by large computations. Quantum error correction addresses this problem by distributing logical quantum information across several physical qubits.

In March 2026, QpiAI announced that it had developed a specialised hardware decoder for real-time quantum error correction on the Kaveri platform.

The demonstration used a distance-five rotated surface-code architecture involving 49 physical qubits. QpiAI reported an overall error-correction cycle time of approximately 1.5 microseconds and a decoder-processing latency of less than one microsecond. The system performed multiple rounds of stabiliser measurements to identify errors while accounting for possible measurement faults.

Instead of sending error-correction calculations to a conventional processor or graphics processor, QpiAI’s design uses dedicated hardware positioned alongside the quantum-control system. Faster decoding is important because corrections must be identified before accumulated errors overwhelm the quantum state.

The achievement represents progress towards fault-tolerant quantum computing, although a 64-physical-qubit processor is still different from a large fault-tolerant machine containing many stable logical qubits. QpiAI’s published roadmap treats logical-qubit systems and larger fault-tolerant computers as future development stages.

QCloud and the Quantum Software Stack

Hardware alone cannot create a usable quantum-computing ecosystem. Researchers and engineers require software for designing circuits, selecting processors, compiling algorithms, submitting jobs and analysing results.

QpiAI’s QCloud platform provides cloud access to its quantum systems along with an integrated development environment, software-development kit and application-specific workflows.

Users can create quantum circuits, configure processing backends, monitor jobs and manage computing credits through the platform. QCloud also supports hybrid workflows in which quantum algorithms interact with conventional artificial-intelligence and high-performance-computing resources.

Pre-built workflows are being developed for sectors such as finance, pharmaceutical research, supply chains, materials engineering and industrial optimisation. Institutions can use the platform to establish virtual quantum laboratories where students and researchers execute assignments on real quantum hardware.

In July 2026, QpiAI announced the open-source release of its Quantum SDK. Opening the development toolkit can help independent researchers, universities and startups experiment with QpiAI-compatible algorithms and contribute to the surrounding software ecosystem.

Application-Oriented Quantum Platforms

QpiAI’s commercial strategy extends beyond providing access to qubits. The company is developing software platforms directed at specific industrial problems.

QpiAI Matter focuses on advanced materials and molecular modelling. QpiAI Pharma targets computational drug discovery and biomolecular research. QpiAI Logistics addresses routing, scheduling, network design and supply-chain optimisation, while QpiAI Opt provides optimisation tools that can combine classical and quantum-inspired methods.

This application-oriented approach is important because early quantum computers have limited qubit numbers and remain affected by noise. Organisations therefore need to identify narrowly defined calculations where quantum, quantum-inspired or hybrid algorithms may eventually outperform existing methods.

QpiAI’s platform seeks to connect experimental quantum processors with problems that companies already encounter in research, manufacturing and operations.

Electric Mobility and Clean Engineering

Quantum computing could eventually support several areas connected with electric mobility and clean engineering.

Battery development requires the modelling of complex interactions between atoms, ions, electrolytes and electrode materials. Conventional computers use approximations when simulating large molecular systems because the computational requirements increase rapidly with molecular complexity. Quantum simulation may eventually help researchers examine new battery chemistries, solid-state electrolytes and materials capable of storing greater amounts of energy.

Quantum-assisted optimisation could also be applied to charging-station placement, fleet scheduling, vehicle routing, traffic management and electricity-demand forecasting. Energy utilities may use hybrid computing platforms to study renewable-energy integration, grid balancing, storage allocation and maintenance scheduling.

In automotive and aerospace engineering, QpiAI is targeting applications involving material design, vehicle simulation, computational-fluid-dynamics workflows and manufacturing optimisation. These remain developing use cases rather than universally proven examples of quantum advantage, but they provide a practical direction for testing quantum technologies against measurable industrial problems.

Expanding Access Beyond the Company Laboratory

A major challenge facing India’s quantum sector is the limited availability of real quantum hardware for students, researchers and companies. QpiAI has begun addressing this issue through institutional deployments.

In February 2026, the company announced a partnership with Alliance University to establish the AU QUASAR Quantum Experience Center in Bengaluru. The centre is designed around QpiAI’s QVidya eight-qubit superconducting system and the QpiAI Explorer development platform. It is intended to support academic programmes, research, enterprise demonstrations and Quantum Computing as a Service.

In March 2026, QpiAI announced that it had received a contract to install its 25-qubit Indus system at the Quantum and AI Computing Center of Excellence at IIIT Dharwad, with access also planned for IIIT Raichur. The system is expected to support student training, faculty research and experimental commercial workloads.

Such installations can create a domestic user base capable of working directly with quantum processors instead of learning exclusively through simulations or foreign cloud services.

Supported by India’s National Quantum Mission

QpiAI is one of the startups selected for support under India’s National Quantum Mission.

The mission is developing national capabilities across quantum computing, quantum communications, quantum sensing and quantum materials. It includes thematic research hubs, fabrication facilities, startup support programmes and industry–academic collaborations.

Government support provides companies such as QpiAI with access to research networks, technical infrastructure and long-term programmes that would be difficult for a private startup to create independently. QpiAI has also attracted private capital, announcing a US$32-million Series A funding round in July 2025 led by Avataar Ventures and supported by the National Quantum Mission and other investors.

Why QpiAI Matters for Make in India

QpiAI represents a new category of Indian manufacturing and technological development. Its work combines advanced electronics, cryogenic engineering, semiconductor design, precision measurement, control hardware, artificial intelligence and scientific software.

The strategic value lies in controlling the complete computing architecture. Dependence on overseas processors, control systems and cloud platforms could restrict India’s access to future quantum capabilities, particularly in defence, cybersecurity, pharmaceuticals, energy, aerospace and advanced materials.

Building an India-developed stack allows domestic institutions to retain sensitive workloads, train engineers on locally controlled infrastructure and develop intellectual property across several layers of the technology.

Full-stack capability does not necessarily mean that every component is manufactured within India. Quantum computers currently depend on highly specialised global supply chains for cryogenic equipment, microwave components, test instruments and fabrication services. However, Indian ownership of processor designs, system architecture, control technology, software and applications provides the foundation for progressively localising more of the supply chain.

Building a Sovereign Quantum Industry

Quantum computing remains an emerging technology. Current machines have limited qubit counts, significant error rates and few independently demonstrated commercial advantages. Progress must therefore be measured through processor quality, error rates, coherence, control precision, software maturity, institutional deployments and the creation of useful applications rather than qubit numbers alone.

QpiAI’s importance comes from its attempt to address all these requirements together.

Through Indus, Kaveri, QpiAISense, QCloud, its open-source SDK and application-oriented software, the Bengaluru company is building much more than an isolated quantum chip. It is creating an Indian quantum-computing ecosystem extending from the processor inside the cryostat to the cloud interface used by a researcher or industrial engineer.

As India works towards technological self-reliance in strategically important fields, QpiAI demonstrates how the Make in India vision is expanding from conventional manufacturing into the design and construction of next-generation computing systems.

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References

QpiAI – Official Website https://www.qpiai.tech/ QpiAI – Technology and Quantum-Computer Roadmap https://www.qpiai.tech/technology QpiAI Indus Quantum Computer https://www.qpiai.tech/products/qpiai-indus-quantum QpiAI QCloud https://www.qpiai.tech/products/qpiai-qcloud Department of Science and Technology – QpiAI Indus Launch https://dst.gov.in/startup-selected-under-nqm-launches-one-indias-most-powerful-quantum-computers Press Information Bureau – National Quantum Mission Developments https://www.pib.gov.in/PressReleasePage.aspx?PRID=2227070&lang=1&reg=6 QpiAI – High-Speed Quantum Error-Correction Announcement https://www.qpiai.tech/pressreleases/2026-03-25-qpiai-achieves-high-speed-quantum-error-correction-on-superconducting-systems-with-new-decoder-platform QpiAI – QVidya and Alliance University Quantum Experience Center https://www.qpiai.tech/pressreleases/2026-02-12-qpiai-qvidya-alliance-university-strategic-partnership QpiAI – Indus Deployment at IIIT Dharwad and IIIT Raichur https://www.qpiai.tech/pressreleases/2026-03-11-qpiai-indus-25-qubit-iiit-dharwad-raichur-deployment QpiAI – Open-Source Quantum SDK Announcement https://www.qpiai.tech/pressreleases/2026-07-07-qpiai-open-sources-quantum-sdk

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