Software
Indian quantum computing startup QpiAI has open-sourced its Quantum Software Development Kit (SDK), giving developers, researchers and enterprises a platform to build, test and deploy quantum applications on its cloud-based quantum computers.
The SDK, now available on GitHub, enables users to develop quantum algorithms locally before running them on QpiAI's 8-qubit and 25-qubit quantum computers through the company's QCloud platform.
The release is aimed at expanding access to quantum software development across universities, startups, research institutions and enterprise innovation teams working on applications in finance, logistics, materials science, chemistry, cybersecurity, artificial intelligence, optimization and scientific computing.
The Python-based SDK supports quantum circuit creation, algorithm development, simulation and workflow execution. It includes local state-vector and density matrix simulators, allowing developers to prototype and validate quantum algorithms before executing them on quantum hardware.
QpiAI said the SDK has also been designed to support AI-assisted and agentic software development workflows, helping developers accelerate quantum application development.
The company is positioning the platform for use in university courses, research laboratories, hackathons and developer training programs as demand for quantum computing skills continues to grow.
Early institutional adopters will also be eligible to join the company's QpiAI Academic & Innovation Network, which provides universities and research organizations with preferential commercial access to its cloud-based quantum computing services.
"India is entering a defining decade for quantum technologies, and open-source software will be critical to building the talent, research, and innovation base that national leadership requires," said Dr. Nagendra Nagaraja, founder and CEO of QpiAI.
"With this release, we want developers, universities, and startups to build on Indian and global quantum infrastructure and help create a globally competitive, indigenous quantum ecosystem. The convergence of quantum computing, AI, and agentic development will define the next generation of deep-tech platforms," he added.
Lakshya Priyadarshi, vice president of Quantum Platforms & Solutions at QpiAI, said lowering barriers to quantum software development will be critical for broader industry adoption.
"Quantum computing will scale only when developers can experiment, learn, and deploy without friction," Priyadarshi said. "The QpiAI Quantum SDK is a practical bridge between quantum theory, simulation, real hardware and industry applications."
The open-source release also aligns with India's broader push to strengthen its quantum computing ecosystem under the National Quantum Mission, which aims to accelerate domestic research, talent development and commercialization of quantum technologies.
The SDK, now available on GitHub, enables users to develop quantum algorithms locally before running them on QpiAI's 8-qubit and 25-qubit quantum computers through the company's QCloud platform.
The release is aimed at expanding access to quantum software development across universities, startups, research institutions and enterprise innovation teams working on applications in finance, logistics, materials science, chemistry, cybersecurity, artificial intelligence, optimization and scientific computing.
The Python-based SDK supports quantum circuit creation, algorithm development, simulation and workflow execution. It includes local state-vector and density matrix simulators, allowing developers to prototype and validate quantum algorithms before executing them on quantum hardware.
QpiAI said the SDK has also been designed to support AI-assisted and agentic software development workflows, helping developers accelerate quantum application development.
The company is positioning the platform for use in university courses, research laboratories, hackathons and developer training programs as demand for quantum computing skills continues to grow.
Early institutional adopters will also be eligible to join the company's QpiAI Academic & Innovation Network, which provides universities and research organizations with preferential commercial access to its cloud-based quantum computing services.
"India is entering a defining decade for quantum technologies, and open-source software will be critical to building the talent, research, and innovation base that national leadership requires," said Dr. Nagendra Nagaraja, founder and CEO of QpiAI.
"With this release, we want developers, universities, and startups to build on Indian and global quantum infrastructure and help create a globally competitive, indigenous quantum ecosystem. The convergence of quantum computing, AI, and agentic development will define the next generation of deep-tech platforms," he added.
Lakshya Priyadarshi, vice president of Quantum Platforms & Solutions at QpiAI, said lowering barriers to quantum software development will be critical for broader industry adoption.
"Quantum computing will scale only when developers can experiment, learn, and deploy without friction," Priyadarshi said. "The QpiAI Quantum SDK is a practical bridge between quantum theory, simulation, real hardware and industry applications."
The open-source release also aligns with India's broader push to strengthen its quantum computing ecosystem under the National Quantum Mission, which aims to accelerate domestic research, talent development and commercialization of quantum technologies.
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