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QpiAI Announces Dawn of Quantum Era in India With 25 Qubit Quantum Computer

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QpiAI Announces Dawn of Quantum Era in India With 25 Qubit Quantum Computer
News

News

QpiAI Announces Dawn of Quantum Era in India With 25 Qubit Quantum Computer

2025-04-16 12:30 Last Updated At:13:01

BANGALORE, India--(BUSINESS WIRE)--Apr 16, 2025--

QpiAI, a leader in quantum computing and generative AI, announced its First Quantum computer launch code named QpiAIIndusQuantum Computer.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20250415961497/en/

QpiAI Gen-1 25 qubit Quantum computer Indus, picture from QpiAI Bangalore centre with CEO Dr Nagendra Nagaraja (Left) and VP of Quantum hardware Dr Manjunath R V (Right).

Dr Nagendra Nagaraja, CEO and Founder of QpiAI, said, "We are excited about our roadmap to commercialize quantum computers, leveraging large-scale qubit integration and logical qubits. The T1 and T2 times for our current 25-Qubit Indus Quantum Computer are 30 μs and 25 μs, respectively, characterized by our in-house developed quantum control electronics cluster, and are expected to increase to 100 μs soon. Furthermore, with our patented qubit architecture, we expect to reach a T1 time of 1 ms in early 2026. With single-qubit gate fidelity of 99.7% and two-qubit gate fidelity of 96%, supporting all native gate sets, our system is interfaced with QpiAI quantum software SDKs for application development. We will soon be expanding to 64-qubit quantum computers. We will have rich partnerships with fellow component suppliers, large pharma and chemical companies, data center players, and hyperscalers to commercialize quantum computing. Our key IP lies in using an AI-based agentic system to manufacture qubits and fine-tune them to obtain desired fidelity, error correction, and noise levels, where the Agentic AI system in our datacenter works in a closed loop with the quantum computer."

Department of Science and Technology (DST) who is also shareholder of QpiAI via NQM (National Quantum Mission) announced QpiAI Indus Quantum computer in a LinkedIn post

https://www.linkedin.com/posts/indiadst_worldquantumday-nqm-activity-7317554620015288320-jYgH?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAEhG18BESsICj9lOj3oH7lnWocQr9DW9Lk

QpiAI Quantum and AI Full-Stack Vertical Integration

QpiAI has developed full-stack quantum computing technology vertically integrating AI and Quantum computing systems combining AI, quantum computers, algorithms, software, and applications. The Gen-1 QpiAI system is built with efficient Quantum-HPC integration with a colocated HPC datacenter for high-throughput and low-latency computing. The QpiAI quantum applications stack combines AI-driven quantum compilation with application-specific architectures for maximizing hybrid quantum-classical performance. QpiAI Quantum software platforms and products, including QpiAI-Logistics, QpiAI-Opt, QpiAI-ML, QpiAI-Pharma, and QpiAI-Matter, are targeted for core quantum applications in logistics, finance, material discovery, and pharma industries.

QpiAI Quantum QPU Technology

QpiAI quantum computers use superconducting qubits and roadmap to experiment with CMOS-based spin qubits in future models. The current generation of qubits is based on various architectures of superconducting qubits design. QpiAI NISQ (Noisy Intermediate-Scale Quantum) qubits and QpiAI FTQC (Fault-tolerant Quantum Computing) qubits are based on QpiAI proprietary qubit architecture named QpiAI Qubits. Transmon qubits are stabilized and error-corrected based on the surface codes with various distances. For higher reliability in fault-tolerant computing, QpiAI FTQC Qubits are error-corrected using Q-LDPC codes with new architectures invented by QpiAI to ensure high performance and low error rates.

Quantum computing today faces limited scalability and reliability challenges due to errors from decoherence, noise, and gate inaccuracies, impacting readiness for industrial applications. To address these, QpiAI is advancing error mitigation on NISQ devices with built-in Surface code schemes, and implementing Q-LDPC codes within our fault-tolerant roadmap. We aim to create scalable, reliable quantum systems capable of supporting complex, high-impact applications.

AI Technology

QpiAI has built advanced next generation generative AI and agentic AI systems that can autonomously navigate complex scenarios and build emergent intelligence through agent-based modeling. Our optimized data-to-intelligence stack and high-performance infrastructure enables modeling and automation at unprecedented scales, while ensuring a seamless transition to quantum-based modeling in the future with the optimal combination of bits, qubits, and neurons.

About QpiAI

QpiAI ( https://www.qpiai.tech ) is a Bangalore based deep-tech startup pioneering the convergence of Artificial Intelligence and Quantum Computing to solve some of the world’s most complex industrial and scientific challenges. QpiAI’s vertically integrated stack enables seamless innovation across hardware, software, and applications. The portfolio includes QpiAI-Explorer, an education platform; QpiAI-Quantum, offering SDKs, compilers, and simulators for quantum development; QpiAI-Opt, a powerful optimization engine for scientific and industrial use cases; QpiAI-Logistics, for route planning and supply chain optimization; QpiAI-Pharma, designed for drug discovery and protein-ligand modeling; QpiAI-Pro, a generative AI development suite; and QpiAI Agent-Hive, enabling intelligent agentic AI workflows.

QpiAI FTQC Quantum Computer Roadmap.

QpiAI FTQC Quantum Computer Roadmap.

QpiAI NISQ Quantum Computer Roadmap.

QpiAI NISQ Quantum Computer Roadmap.

QpiAI Gen-1 25 qubit Quantum computer Indus, picture from QpiAI Bangalore centre with CEO Dr Nagendra Nagaraja (Left) and VP of Quantum hardware Dr Manjunath R V (Right).

QpiAI Gen-1 25 qubit Quantum computer Indus, picture from QpiAI Bangalore centre with CEO Dr Nagendra Nagaraja (Left) and VP of Quantum hardware Dr Manjunath R V (Right).

NEW YORK (AP) — Shelby Miller never developed into the ace the Arizona Diamondbacks envisioned following a blockbuster trade in December 2015.

Perhaps he can become the Diamondbacks' closer almost a decade later.

Miller earned his first save for Arizona on Thursday, working a perfect ninth inning to finish a 4-2 win over the New York Mets.

“It’s always good to get a win, however we can do it, however I contribute, whether we’re up one or 10,” Miller said. “I’ll pick up the ball whenever my name is called.”

Miller picked up the save hours after Arizona's bullpen was thrown into further disarray when Justin Martinez was placed on the 15-day injured list with right shoulder inflammation. Martinez and A.J. Puk, who was shifted to the 60-day IL as he recovers from a left elbow injury, combined for seven of the Diamondbacks’ first nine saves.

“It doesn’t mean he’s going to close every game,” manager Torey Lovullo said after Miller threw just eight pitches. “But he’s going to get some save opportunities for sure.”

Miller was one of the most promising young starters in baseball when the Diamondbacks acquired him from the Atlanta Braves on Dec. 9, 2015, for a package that included Dansby Swanson, the first overall pick in the 2015 draft.

But Miller, who had a 3.22 ERA for the Braves and St. Louis Cardinals in his first four big league seasons, went 3-12 with a 6.15 ERA in 20 starts in 2016 before undergoing Tommy John surgery after four starts in 2017 — Lovullo’s first year as manager.

“That makes the save a little bit better,” Miller said with a smile. “I couldn’t be more happy for him to get this W."

“The fact that we’re connected that way, it does mean a lot,” Lovullo said.

Miller played for three other teams and had moved to the bullpen by the time Swanson won the World Series with Atlanta in 2021. After pitching briefly for the San Francisco Giants in 2022 and recording a 1.71 ERA for the Los Angeles Dodgers in 2023, Miller appeared in a career-high 51 games for the Detroit Tigers last season.

The 34-year-old right-hander signed a non-roster deal with Arizona in February and is 2-0 with a 0.00 ERA in 13 appearances this season. The save Thursday was the fourth of his career.

“It’s a story of perseverance. For me, it’s a story about a guy that just is never giving up,” Lovullo said. “He’s bounced around over the course of his career through a bunch of organizations, but he has never given up. And we’re getting those benefits now.”

AP MLB: https://apnews.com/hub/MLB

Arizona Diamondbacks pitcher Shelby Miller, left, throws to first base as New York Mets' Jeff McNeil beats the throw for a single during the eighth inning of a baseball game Wednesday, April 30, 2025, in New York. (AP Photo/Frank Franklin II)

Arizona Diamondbacks pitcher Shelby Miller, left, throws to first base as New York Mets' Jeff McNeil beats the throw for a single during the eighth inning of a baseball game Wednesday, April 30, 2025, in New York. (AP Photo/Frank Franklin II)

Arizona Diamondbacks shortstop Geraldo Perdomo, right, celebrates with pitcher Shelby Miller, left, after a baseball game against the New York Mets, Thursday, May 1, 2025, in New York. (AP Photo/Seth Wenig)

Arizona Diamondbacks shortstop Geraldo Perdomo, right, celebrates with pitcher Shelby Miller, left, after a baseball game against the New York Mets, Thursday, May 1, 2025, in New York. (AP Photo/Seth Wenig)

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