QpiAI Unveils 25-Qubit Quantum Computer, Ushering in India’s Quantum Era

Key Takeaways

  • QpiAI launched the Indus Quantum Computer and plans to develop more advanced quantum computers, targeting up to 1000 qubits by 2028.
  • The company aims to commercialize fault-tolerant quantum computing with logical qubits, focusing on healthcare, finance, and cybersecurity applications.
  • QpiAI’s technology integrates quantum computing with AI, enhancing capabilities in various sectors, including logistics and pharmaceuticals.

Introduction of Indus Quantum Computer

Bangalore-based QpiAI has unveiled India’s most powerful quantum computer, named the Indus Quantum Computer. This marks a significant milestone in the company’s ambition to lead in quantum computing and generative AI. Dr. Nagendra Nagaraja, CEO and Founder, shared insights into their technical roadmap, emphasizing robust qubit integration and advanced logical qubit capabilities.

Roadmap for Quantum Development

QpiAI outlined its expansion in quantum computing capabilities, planning to develop a series of NISQ (Noisy Intermediate-Scale Quantum) systems: a 64-qubit computer named Kaveri by 2025, a 128-qubit system called Ganges by 2027, and a 1000-qubit computer known as Everest by 2028. Their future direction also involves fault-tolerant quantum computers featuring error correction for commercial applications, starting with a superconducting logical qubit, code-named Yukti, by 2026.

Partnerships and Infrastructure

To facilitate these advancements, QpiAI will provide access to its 25-qubit system via private datacenters and public cloud platforms. Additionally, they plan to supply datacenter modules equipped with quantum technology for integration with existing infrastructures. Strategic partnerships with pharmaceutical firms, data centers, and tech companies are central to QpiAI’s strategy for commercializing quantum computing applications.

Quantum Computing Technology

The Indus Quantum Computer utilizes superconducting qubits, with long-term plans to investigate CMOS-based spin qubits. Currently, its system achieves T1 and T2 times of 30 μs and 25 μs, respectively, with expected improvements to 100 μs. Aiming for optimal performance, QpiAI employs advanced techniques for error correction, including surface code schemes and Q-LDPC codes to enhance reliability and scalability, addressing existing challenges in quantum technology.

AI and Quantum Integration

QpiAI also boasts an advanced generative AI infrastructure designed to complement its quantum computing efforts. Their systems focus on creating intelligent agentic AI capable of solving complex scenarios and enhancing performance through AI-driven quantum compilation. This integration positions QpiAI as a key player in the future of high-performance computing, combining traditional computing elements with cutting-edge quantum innovations across various industry applications.

Conclusion

With significant advancements in both quantum technology and AI, QpiAI stands at the forefront of the tech industry in India. The company’s dedication to pioneering integrated solutions across sectors such as healthcare, finance, and logistics showcases its potential to revolutionize how complex problems are addressed through technology. As QpiAI continues to expand its capabilities and partnerships, it aims to establish itself as a leader in the evolving landscape of quantum computing and AI integration.

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