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Quantum Technology Startup Quanfluence Secures $2 Mn Funding

Bengaluru-based Quantum technology startup Quanfluence has raised $2 million (around ₹16.65 crore) in a seed funding round led by pi Ventures. 

By Jitendra Das
New Update
Quantum Technology Startup Quanfluence Secures $2 Mn Funding

Quantum technology startup Quanfluence has raised $2 million (around ₹16.65 crore) in a seed funding round led by pi Ventures. 

The funding round also saw participation from Golden Sparrow and Reena Dayal, founder of Quantum Ecosystems and Technology Council of India (QETCI). 

The startup plans to use the funds to scale its near-term products and speed up the development of its quantum computer.

Read also-  Retail Tech Startup Bizom Raises $12Mn In Series B Round Funding

The investment comes as quantum technology is gaining significant attention in India. Last year, quantum cybersecurity startup QNu Labs raised $6.5 million in its pre-Series A1 round, led by Ashish Kacholia of Lucky Investments, marking the largest private investment in an Indian quantum technology startup.

Sujoy Chakravarty, CEO at Quanfluence, said, “This funding enables us to enhance our photonic-based technologies, scale the optimiser, and accelerate the development of our general-purpose quantum computer.”

 

Shubham Sandeep, managing director at pi Ventures, said, “Their photonic-based technology holds the potential to transform industries by addressing complex optimiSation challenges where classical computing falls short.”

About Quanfluence

Founded in 2021, Bengaluru-based Quanfluence was founded by Sujoy Chakravarty, Ravi Mehta, Biman Chattopadhyay, Anil Prabhakar, Aditi Vaidya, and Sandeep Goyal. The startup develops photonics-based quantum and quantum-inspired solutions and was incubated at the IITM Incubation Centre.

Quanfluence's core technology includes an optical Ising machine that uses light waves for computation. This system can process hundreds of connected variables at the same time, making it 100 times faster than traditional optimization methods.

The current system handles 128 interconnected variables, processing about 10,000 permutations. An advanced version, capable of processing 10-25 million permutations, is being tested and will be released next quarter. The technology can be used for complex optimization problems in areas like financial risk management, logistics, workforce scheduling, and delivery route optimization.

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