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Time of India
3 days ago
- Business
- Time of India
QpiAI raises $32 million led by Avataar, NQM
Bengaluru: Bengaluru-based QpiAI, which provides integrated AI and quantum solutions for enterprises, raised $32 million led by Avataar Ventures and the National Quantum Mission (NQM). The funding round also saw participation from both existing and new investors. QpiAI integrates quantum computing and AI to tackle complex challenges across multiple industries. The company offers a suite of software platforms tailored to specific sectors, enhancing simulation, optimisation, and data analysis capabilities. QpiAI developed a full-stack quantum computer featuring proprietary hardware and software, enabling the delivery of practical quantum applications in materials science and drug discovery for global enterprises. QpiAI founder Dr Nagendra Nagaraja said they created India's most powerful quantum computer with 25 qubits and a roadmap to scale up to 1,000 qubits by 2030. The technology is crucial for addressing complex challenges in agriculture, drug discovery, manufacturing, and other industries by leveraging quantum computing's natural alignment with high-dimensional data and quantum chemistry. You Can Also Check: Bengaluru AQI | Weather in Bengaluru | Bank Holidays in Bengaluru | Public Holidays in Bengaluru Nagendra's background includes 25 years in tech with companies like Nvidia and Qualcomm, where he witnessed the rise of AI but recognised hardware inefficiencies and high power consumption. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Gepensioneerden enthousiast! Deze dieetcapsules verbranden ook buikvet op oudere leeftijd! Apotheek Regionaal Undo QpiAI has raised about $6.5 million so far and is currently raising an additional $32 million to accelerate building scalable, low-error quantum computers. Founded in 2019, QpiAI is accelerating India's quantum journey by making quantum computing practical, accessible, and globally relevant. The company filed over 11 patent applications to date. QpiAI plans to double its workforce to 200–250 employees and currently operates two facilities in Bengaluru. The company secured funding to support operations for the next 3 to 3.5 years. Nagendra said it aims to launch a 64-qubit machine by late next year, with plans for error-corrected logical qubits, which are essential for commercial-scale applications like quantum chemistry simulations and precision medicine. Current qubit error rates are high, but QPI's new qubit design promises much longer coherence times, enabling effective error correction. "We achieved great traction in the commercialisation of NISQ (Noisy Intermediate State Quantum) computers in education, research, and algorithmic prototyping. Markets are ripe for utility-scale quantum computers with logical qubits, and we are leading efforts towards building these powerful systems."Mohan Kumar, managing partner at Avataar Ventures, said, "We believe quantum has the potential to advance mankind beyond imagination, and India has a unique opportunity to lead this frontier technology. QpiAI demonstrated strong technical and commercial leadership with its functional quantum computing technology and real-world applications at large automotive and life sciences customers. They are on a path to lead the quantum wave for emerging markets with its advanced full-stack technology."
Time Business News
09-07-2025
- Science
- Time Business News
From Lab to Life: Quantum Computing's Big Leap in 2025
Imagine you're designing a life-saving drug—not over years of lab work, but in hours, simulated at atomic precision. Or cracking a logistics puzzle that saves a global retailer millions in shipping costs. Sounds like science fiction? Welcome to the world of quantum computing. Unlike the classical computers most of us rely on—those binary beasts that crunch 1s and 0s—quantum computers harness the weird, wondrous rules of quantum mechanics. Instead of bits, they use qubits, which can exist in multiple states simultaneously, thanks to a principle called superposition. Add in entanglement—a spooky quantum link between particles—and you get a machine that can process information in ways that defy conventional logic. In 2025, quantum computing is no longer confined to theoretical physics lectures or whiteboard doodles at MIT. With billions pouring in from tech giants and governments, and new chips hitting labs and (slowly) creeping into commercial spaces, the field is making noticeable strides. While we're still far from the quantum iPhone, the groundwork is undeniably being laid—and fast. The past year has been a wild ride for quantum computing, with breakthroughs popping up left and right. In early 2025, Google made headlines with its new quantum chip, Willow , which boasts enhanced noise resistance and reportedly demonstrated exponential error suppression—one of the field's Holy Grails. This was more than a benchmark; it hinted at crossing the bridge from noisy intermediate-scale quantum (NISQ) systems to more stable, fault-tolerant architectures. Meanwhile, IBM's Starling chip rolled out with 1,221 superconducting qubits, tightly integrated with error-correcting code. IBM's 2029 roadmap for building a 100,000-qubit machine, once met with skepticism, is beginning to seem less far-fetched. The company even opened its Quantum System Two facility, hinting at early-stage commercialization. Microsoft, not to be left out, finally put its bet on Majorana-based qubits into action, touting a more scalable, stable qubit architecture—though details remain tightly controlled. Its hybrid cloud-quantum ecosystem, integrated into Azure, is now serving early customers experimenting with optimization problems. Other players are also shaping the field. PsiQuantum, a startup many dismissed as ambitious vaporware, has reportedly secured partnerships to integrate its photonic quantum chips into existing data centers by 2026. And D-Wave, often operating in its own lane with quantum annealing, has launched application-specific solutions in supply chain and manufacturing—limited in scope but real and running. Here's the big kicker: quantum error correction (QEC) has finally stepped out of the textbook and into reality. In multiple labs, including those in Japan and Germany, researchers are now demonstrating 'logical qubits' that can retain coherence far longer than physical qubits. It's not yet at scale, but it's a leap from where we were just two years ago. If quantum computing were a Swiss Army knife, we're just learning how to flip out the first blade. But even that's changing. Right now, some of the most exciting action is in materials science and chemistry. Simulating molecules at a quantum level—something classical computers struggle with—could lead to breakthroughs in carbon capture, fertilizer production, and next-gen batteries. Companies like BASF, Roche, and AstraZeneca are dabbling in partnerships with quantum firms for precisely this reason. In drug discovery, the ability to predict how a protein folds or how molecules bind without months of wet lab work could mean faster, cheaper, more targeted treatments. We're not quite replacing labs yet, but early simulations have shown promise in reducing lead discovery times by orders of magnitude. Artificial intelligence may also benefit, particularly in areas like optimization, clustering, and searching massive unstructured datasets. Quantum algorithms aren't just faster—they're different, allowing entirely new ways of processing information. That said, they often require highly specialized setups and aren't plug-and-play replacements for classical AI models. And then there's the elephant in the server room: encryption. Today's internet relies on cryptographic systems that quantum computers could, theoretically, break in minutes. The so-called 'Q-Day' (when a quantum computer cracks RSA or ECC encryption) is still in the future—but maybe not as far off as once thought. Governments and tech firms are already pushing post-quantum cryptography (PQC), algorithms designed to be resistant to quantum attacks, as an urgent safeguard. Looking ahead, imagine real-time financial modeling that adapts to market shifts like a living organism, or climate simulations so precise they can inform micro-level policy. These aren't just fantasy—they're possible outcomes if quantum machines scale as expected. Of course, quantum computing isn't all smooth sailing on superconducting seas. First, there's the issue of scaling. Most of today's qubit counts are still in the hundreds or low thousands—far from the millions likely needed for complex, fault-tolerant applications. And these machines don't live on your desk; they often operate in refrigerator-sized cryogenic chambers cooled near absolute zero. Engineering, logistics, and sheer energy demands remain formidable barriers. Error rates are another headache. While quantum error correction is progressing, it's computationally expensive—requiring hundreds or thousands of physical qubits for every logical one. That math doesn't yet work for practical systems. Even among industry titans, there's disagreement on the timeline. Nvidia's CEO, Jensen Huang, recently emphasized that quantum computing is a 'long-term science project' unlikely to impact real-world applications this decade. Others are more bullish. Google claims quantum advantage in some niche problems within five years, while IBM's roadmap aims for meaningful commercial applications by 2029. And let's not ignore the geopolitics. The U.S. and China are locked in a quantum arms race, with billions invested in national programs. There's concern about what happens if one side pulls significantly ahead—both in terms of data security and economic dominance. As with AI, the fear is that quantum's benefits might be cornered by a few superpowers or tech conglomerates, leaving the rest of the world to catch up. So, where does that leave us in July 2025? Quantum computing remains a curious paradox. On one hand, it's still embryonic—its full power untapped, its timeline uncertain. On the other, it's making real, tangible progress, shifting from chalkboard dreams to lab demos and early prototypes solving niche problems. But perhaps the most exciting thing is that we're no longer asking if quantum computing will change the world—but when , and how , and who will get there first . For now, it pays to stay curious. As the field evolves, it will continue to blur lines between physics and computation, science and imagination. In a world increasingly shaped by data and digital systems, quantum computing may just be the next great leap—not just in tech, but in how we understand and shape our reality. TIME BUSINESS NEWS
Globe and Mail
29-05-2025
- Business
- Globe and Mail
A.I. Drone Operations Flourishing as Global Quantum Computing Market Expected to Reach $5.3 Billion By 2029
PALM BEACH, Fla., May 29, 2025 (GLOBE NEWSWIRE) -- FN Media Group News Commentary - The global quantum computing market is expected to grow significantly in the coming years. A report from MarketsAndMarkets projected that the global quantum computing market size will be valued at USD 5.3 billion by 2029, growing at a CAGR of 32.7% during the forecast period through 2029. The report said: 'Quantum computing is a growing technology that has the opportunity to make computing faster. These devices can perform valuable tasks but have a high rate of error. In short-term quantum computing, use cases will have a hybrid quantum operating model, a mix of traditional and quantum computers. In the short term, also known as the NISQ era, the revenue for quantum computing will be entirely generated from end-user industries and quantum computing research investments. Mid-term quantum computing is expected to witness many advantages over conventional computers. To achieve this stage, quantum algorithms with a high error correction ability are required. Long term quantum computing requires a high tolerance for error correction and scalability. At this stage, the value will be added by the quantum hardware, quantum software, and service providers. Systems segment to account for highest CAGR of the quantum computing market during the forecast period Quantum computer systems are designed to solve complex problems that traditional computers find difficult. Constant investments and development in quantum computing systems are driving the market during the forecast period. Quantum computing hardware launches are becoming increasingly common. The shipment of quantum computing systems is increasing daily. The cloud segment is projected to account for a larger share of the quantum computing industry than the on-premises segment from 2024 to 2029.' Active Companies in the markets today include ZenaTech, Inc. (NASDAQ: ZENA), Quantum Corporation (NASDAQ: QMCO), Rigetti Computing, Inc. (NASDAQ: RGTI), D-Wave Quantum Inc. (NYSE: QBTS), Supermicro, Inc. (NASDAQ: SMCI). MarketsAndMarkets concluded: The demand for the quantum computing market share is expected to have the largest share in the Asia Pacific region. Companies working in the area's quantum computing market and the government are spending money on research in quantum computing. The race to build powerful quantum computers is heating up with big money bets. The race to build powerful quantum computers is heating up with big money bets. Tech giant IBM is throwing down a cool USD 100 million to help universities in Japan and the US develop whopper machines with 10,000 qubits.' ZenaTech (NASDAQ:ZENA) Developing Quantum Computing and AI Drone Fleets to Prevent Wildfires in the Western US - ZenaTech, Inc. (FSE: 49Q) (BMV: ZENA) ("ZenaTech") a technology company specializing in AI (Artificial Intelligence) drones, Drone as a Service (DaaS), enterprise SaaS, and Quantum Computing solutions, today announces its strategic initiative to utilize quantum computing and AI-powered drones to revolutionize wildfire detection, forecasting, and response in the US Western and Coastal states. This innovative solution is part of ZenaTech's expanding Clear Sky project, an initiative which aims to mitigate the increasing threat of billion-dollar weather events using high-precision environmental monitoring powered by AI drones, drone swarms and quantum-enhanced analytics. 'We want to harness next-generation drone technology for frontline defence against one of America's more dangerous natural threats' said Dr. Shaun Passley, CEO of ZenaTech. 'By integrating quantum computing with our AI drone systems, we can process massive volumes of atmospheric and terrain data to provide near real-time wildfire predictions and response strategies with unmatched speed and accuracy.' The integration of quantum computing allows ZenaTech to process complex datasets far faster than traditional methods—turning raw drone telemetry into actionable intelligence for emergency response teams, forestry services, and environmental protection agencies. Using the ZenaDrone 1000 drone and fleets of drones equipped with thermal sensors, multispectral imaging, and 360-degree LiDAR, autonomous flight missions over 300 square miles can be performed. These drone swarms gather environmental data which is then processed using quantum computing platforms to build predictive models that simulate wildfire spread based on terrain, vegetation density, humidity, and wind patterns. ZenaTech's recently acquired Portland, Oregon-based land survey engineering company and now a Drone as a Service office, will be part of this initiative surveying large tracks of land for wildfires and fire management testing incorporating drone swarm technology in the Northwest in the Pacific Coast areas. The company will also utilize its Wyoming Native American partnership for testing fire mitigation, and autonomous monitoring of tribal lands. The Clear Sky project initial team will be expanded to 20 engineers dedicated to the company's R&D initiatives including wildfire modelling, geospatial optimization, and AI-augmented forecasting. Quantum computing is an emergent field of cutting-edge computer science harnessing the unique qualities of quantum mechanics to solve problems beyond the ability of even the most powerful classical computers of today, to process massively complicated mathematical problems and data at orders of magnitude faster speeds. Quantum computers can analyse vast and complex drone data much faster and more accurately, improving weather predictions and enhancing the ability to forecast extreme events. Last year, there were 58 separate billion-dollar weather disasters globally, the second highest on record, which includes 27 in the US caused by extreme weather including hurricanes, wildfires, floods, and severe storms— according to Gallagher Re's Natural Catastrophe and Climate Report. Continued… Read this full release by visiting: In Additional ZENA News: ZenaTech (NASDAQ:ZENA) Provides Quantum Computing Update on 'Clear Sky' Weather Forecasting Project?AI Drone Swarms to Combat Steep Rise in Billion Dollar Extreme Weather Events - ZenaTech, Inc. (FSE: 49Q) (BMV: ZENA) ("ZenaTech") provided an update on its 'Clear Sky' project, an R&D initiative soon to be released in a beta application version, that uses multiple AI drones in a drone swarm, and quantum computing for weather forecasting. The goal is to better predict localized weather including extreme weather events for business and government users, saving lives and billions of dollars. In the coming months, ZenaTech plans to expand its quantum computing project team to 20 by adding at least ten additional specialized engineers. This will accelerate the development and upcoming beta release of Clear Sky in addition to furthering other internal quantum computing projects currently underway. 'Last year, there were 58 separate billion-dollar weather disasters globally, the second highest on record, which includes 27 in the US. Through the Clear Sky project, we will use AI-powered drone swarms and quantum computing to better predict these disasters and fill the critical atmospheric observation gaps of traditional weather data collection and satellite methods,' said CEO of ZenaTech Shaun Passley, Ph.D. 'Drones with sensors flying at high altitudes can collect data in real time enabling greater spatial and temporal resolution resulting in more precise, up-to-the-minute weather insights to better anticipate the onset of extreme weather like tornadoes.' Continued… Read this full release by visiting: Other recent developments in the markets include: Quantum Corporation (NASDAQ: QMCO) recently announced an update to its Professional Services portfolio, redefining its offerings to meet customers' needs across the data lifecycle and provide greater flexibility in how services are consumed. Quantum uniquely delivers comprehensive data lifecycle management spanning high-speed ingest to data protection to long-term archiving. As organizations increasingly depend on data to drive AI initiatives, fuel innovation, and streamline operations, customers require tailored, efficient, and scalable services that evolve with their infrastructure and business goals. Structured around three core offerings—new subscription-based Value Packages, Deployment Services, and On-Demand Services—Quantum's Professional Services are built to meet customers where they are in their data journey. Whether accelerating a new deployment, optimizing a legacy environment, or planning for future growth, these services offer scalable, expert-led support that aligns with both immediate needs and long-term strategies. Rigetti Computing, Inc. (NASDAQ: RGTI), a pioneer in full-stack quantum-classical computing, recently announced its financial results for the first quarter ended March 31, 2025. First Quarter 2025 and Recent Financial Highlights Were: Total revenues for the three months ended March 31, 2025 were $1.5 million Total operating expenses for the three months ended March 31, 2025 were $22.1 million Operating loss for the three months ended March 31, 2025 was $21.6 million Net income for the three months ended March 31, 2025 was $42.6 million Net income for the three months ended March 31, 2025 includes $62.1 million of non-cash gains from the change in fair value of derivative warrant and earn-out liabilities As of March 31, 2025 cash, cash equivalents and available-for-sale investments totaled $209.1 million As of April 30, 2025, following the previously announced closing of the share purchase by Quanta Computer, Inc., cash, cash equivalents and available-for-sale investments totaled $237.7 million 'Rigetti is proud to be awarded important government-funded projects in the U.S. and U.K. to advance our technology, which demonstrates our continued leadership in superconducting quantum computing,' says Rigetti CEO Dr. Subodh Kulkarni. 'We also are making great strides in developing innovative approaches to scaling to higher qubit count systems, which is possible due to our open and modular system architecture, in-house full-stack expertise, and world-class partners.' D-Wave Quantum Inc. (NYSE: QBTS) recently announced the general availability of its Advantage2 TM quantum computing system, a powerful and energy-efficient annealing quantum computer capable of solving computationally complex problems beyond the reach of classical computers. Featuring D-Wave's most advanced quantum processor to date, the Advantage2 system is commercial-grade, and built to address real-world use cases in areas such as optimization, materials simulation and artificial intelligence (AI). "Today marks a significant milestone not just for D-Wave, but for the quantum computing industry as a whole, as we bring to market our sixth-generation quantum computer, a system so powerful that it can solve hard problems outside the reach of one of the world's largest exascale GPU-based classical supercomputers," said Dr. Alan Baratz, CEO of D-Wave. "It's an engineering marvel, with substantial technical advancements that highlight D-Wave's progress in scaling quantum technology to meet industry demands for growing computational processing power while maintaining energy efficiency. Supermicro, Inc. (NASDAQ: SMCI) recently announced that it is now taking orders for enterprise AI systems with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs. Supermicro's broad portfolio of optimized servers enables AI and visual computing to be deployed in virtually any industry or environment. Supermicro's suite of over 20 systems with RTX PRO Blackwell GPUs will significantly enhance performance for enterprise AI factory workloads. This includes AI inference, AI development and model fine-tuning, generative AI, AI-driven graphics & rendering, video content and streaming, and game development. Supermicro NVIDIA-Certified Systems with RTX PRO 6000 Blackwell GPUs will serve as building blocks for NVIDIA Enterprise AI Factory validated designs, integrating with NVIDIA Spectrum-X networking, NVIDIA-Certified Storage, and NVIDIA AI Enterprise software to create full-stack solutions, accelerating the deployment of on-premises AI. "Supermicro continues to lead the development of enterprise AI infrastructure, empowering the deployment of AI across industries at ever-greater scale," said Charles Liang, president and CEO of Supermicro. "Supermicro's Data Center Building Block Solutions® is the ideal platform for collaboration with NVIDIA Enterprise AI Factory validated designs based on the Blackwell architecture. Together, we will help enterprises ramp up AI adoption by building their own Enterprise AI Factories, accelerating AI inference, AI development, simulation, and graphics workloads for faster time-to-revenue." About FN Media Group: At FN Media Group, via our top-rated online news portal at we are one of the very few select firms providing top tier one syndicated news distribution, targeted ticker tag press releases and stock market news coverage for today's emerging companies. #tickertagpressreleases #pressreleases Follow us on Facebook to receive the latest news updates: DISCLAIMER: FN Media Group LLC (FNM), which owns and operates and is a third party publisher and news dissemination service provider, which disseminates electronic information through multiple online media channels. 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