QNu Labs

Leaders in Quantum Key Distribution
Founded 2016
Bangalore, India
$5+ million raised
50+ employees
Quantum CommunicationQKDQuantum CybersecuritySecure Communications

About QNu Labs

QNu Labs is India's pioneering quantum communication company, developing Quantum Key Distribution (QKD) systems for ultra-secure communications. The company provides quantum-safe cybersecurity solutions for government, defense, banking, and enterprise sectors, protecting critical infrastructure against current and future cyber threats.

Founded in 2016, QNu Labs has established itself as a leader in quantum-safe security solutions. The company's QKD systems leverage the principles of quantum mechanics to create theoretically unbreakable encryption keys, providing future-proof security against quantum computer attacks. QNu Labs works closely with government agencies, defense organizations, and financial institutions to deploy quantum-secure communication networks.

Products & Solutions

Armos QKD System

Point-to-point quantum key distribution for secure fiber-optic communications

  • •100+ km range
  • •Real-time key generation
  • •Integration with existing networks

Tropos Quantum Network

Multi-node quantum communication network for metropolitan areas

  • •Scalable architecture
  • •Network management software
  • •Quantum repeater support

QShield

Quantum-safe encryption solutions for data centers and cloud infrastructure

  • •Post-quantum cryptography
  • •Hybrid classical-quantum security
  • •Easy deployment

Funding

Total Raised
$5+ million
Latest Round
Series A
Stage
Growth
Investors:Exfinity Venture Partners, pi Ventures, Other strategic investors

Latest News & Updates

View All QNu Labs News
QNu Labs Launches QShield 2.0 to Drive India’s National Cryptographic Assessment & Assurance Frameworkquantum-computing

QNu Labs Launches QShield 2.0 to Drive India’s National Cryptographic Assessment & Assurance Framework

QNu Labs Launches QShield 2.0 to Drive India’s National Cryptographic Assessment & Assurance Framework Bengaluru-based quantum security startup QNu Labs has launched QShield 2.0, a sovereign, full-stack post-quantum cryptography (PQC) and crypto-agility platform. Introduced at the company’s 10th anniversary event, the platform serves as the core execution engine for India’s National Cryptographic Assessment & Assurance Framework (NCAAF). The release aligns with recommendations from the Department of Science and Technology’s National Quantum Mission (NQM) Task Force Report, which mandates that critical infrastructure sectors initiate formal PQC migration by 2027. The NCAAF architecture is structured around an iterative workflow cycle: Discover (mapping cryptographic assets across legacy IT/OT networks), Assess (scoring algorithms and certificates against quantum vulnerability windows), and Assure (continuous, real-time posture validation). Built for on-premises sovereign deployment in banks, defense agencies, and critical infrastructure, QShield 2.0 consolidates five operational modules into a unified management plane to address “Harvest Now, Decrypt Later” attack vectors and AI-driven attack surfaces. [ QNu Labs QShield 2.0 Module Architecture & NCAAF Scope ]Module NameCore Security FunctionSovereign Implementation Scope01: Quantum Entropy• Hardware Quantum Random Number Generation (QRNG)• Physics-based entropy generation via Tropos hardware backends02: Quantum Readiness Risk Assessment• Automated discovery, classification, and scoring• Continuous asset discovery and real-time vulnerability posture tracking03: Quantum PKI• Crypto-agile certificate authority & identity lifecycle• Dynamic, seamless algorithm migration without breaking client code04: Quantum Vault• Hardware-secured key custody & secret store• Protection of long-lived confidential records, root keys, and session keys05: AI Security• Cryptographic verification for AI models and pipeli

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QNu Labs Maps National Cryptographic Sovereignty Capabilitiesquantum-computing

QNu Labs Maps National Cryptographic Sovereignty Capabilities

Assessing national preparedness for post-quantum cryptography has focused solely on readiness, strategy, inventory, standards adoption and skills. The Readiness, Sovereignty Capability Model (RSCM) now measures both cryptographic readiness alongside genuine cryptographic sovereignty at a national level. Applying this model to fifty-seven actors revealed that twenty countries clear the gate for establishing quantum-safe capacity; weighted agreement between coders reached 0.71. This establishes a new way to evaluate how well nations are prepared for post-quantum cryptography by also quantifying cryptographic sovereignty. The analysis of fifty-seven countries revealed twenty currently possess the means to build their own strong quantum-safe systems domestically. This highlights that being ready to adopt these new technologies differs from actually controlling their development and implementation within national borders. Multimedia University has developed a system to assess national preparedness for post-quantum cryptography, going beyond simply measuring readiness by also quantifying control over them. The team’s Readiness, Sovereignty Capability Model (RSCM) functions like a scoring system used to evaluate how well nations are equipped both to adopt the latest encryption technologies and maintain control over them. Indigenous Cryptographic Capacity, a country’s ability to design, develop, and manufacture its own cryptography tools, is akin to having an in-house engineering department rather than relying solely on outside vendors. Deconstructing national capability in post-quantum encryption technologies The Readiness-Sovereignty Capability Model (RSCM) serves as a scoring system used to evaluate how well nations are equipped both to adopt the latest encryption technologies and maintain control over them.

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Quantum PKI from QNu Labs builds a full platform for post-quantum securityquantum-computing

Quantum PKI from QNu Labs builds a full platform for post-quantum security

QNu Labs has a complete platform designed to shield digital infrastructure from the approaching threat of quantum computers, addressing a hidden vulnerability in every certificate currently in use. Unlike conventional cryptographic systems reliant on computational complexity, QNu’s module generates keys directly from physical phenomena, creating randomness that cannot be reverse-engineered, even with advanced computing power. The platform’s Quantum Readiness Risk Assessment provides an ongoing report card, ranking cryptographic assets by exposure and potential damage, prioritizing systems for migration. QNu Labs explains, “You cannot fix what you cannot see,” and this module aims to provide that visibility for organizations facing the quantum threat. Quantum Entropy Underpins Full-Stack Security Quantum key generation at QNu Labs originates not from computational processes, but from physical phenomena; the company’s module derives randomness directly from physics, creating keys impossible to replicate even with quantum computing power or artificial intelligence. This approach fundamentally diverges from conventional cryptography, which relies on the difficulty of solving mathematical problems, and establishes a foundation impervious to algorithmic advances. QNu Labs, founded in 2016 and headquartered in Bengaluru, India, manufactures the hardware underpinning this process, a key component of its broader security platform and a focus of its partnership with Eindhoven University to advance global quantum security. The company’s Quantum Readiness Risk Assessment module finds every certificate, key, and algorithm running across your systems, tells you which ones a quantum computer could break first, and gives you a plan to fix them in the right order.

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IBM Ventures Leads $8 Million Investment in BQP to Scale Quantum-Accelerated Physics Simulationquantum-computing

IBM Ventures Leads $8 Million Investment in BQP to Scale Quantum-Accelerated Physics Simulation

IBM Ventures Leads $8 Million Investment in BQP to Scale Quantum-Accelerated Physics Simulation Enterprise software developer BQP (formerly BosonQ Psi) has secured a strategic investment from IBM Ventures, alongside participation from Venn10 Capital and existing investor Monta Vista Capital. Bringing BQP’s total funding to $8 million, the capital expansion supports the commercial deployment of BQP’s flagship BQPhy® platform, transitioning physics-based AI surrogates and complex engineering solvers from design-time simulation into real-time operational workflows. Headquartered in Syracuse, New York, BQP resolves a fundamental bottleneck in high-performance computing (HPC): traditional physics solvers often leave up to 85% of modern GPU floating-point capacity idle due to legacy algorithmic code. BQPhy acts as a software acceleration layer that optimizes underutilized GPU compute capacity, delivering performance up to 10× faster inside native engineering environments like MATLAB, Python, and Julia without requiring teams to revalidate their workflows. Under a staged roadmap, these exact classical workloads are being configured via BQP’s QuantumMAX native solver architecture to transition seamlessly onto hybrid quantum-classical QPUs. [ BQP Enterprise Software Platform & Strategic Capital Structure ]Funding & Corporate TractionSoftware Architecture (BQPhy®)Defense & Industrial Contracts• Cumulative Funding: $8 Million• Integration Layers: MATLAB, Python, Julia• U.S. Space Force / SpaceWERX Contracts• Lead Investor: IBM Ventures• GPU Optimization: Resolves 85% Idle Gap• Air Force Research Laboratory (AFRL)• Co-Investors: Venn10 & Monta Vista• Quantum Roadmap: QuantumMAX Engine• Space Catalog Orbit Calculation (250× Speedup) An active member of the IBM Quantum Network since 2023, BQP has achieved an 8× expansion in contracted revenue driven by deployments across aerospace, defense, energy, and advanced manufacturing. Active federal contracts include proje

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QNu Labs Closes ₹200 Crore ($21.02M USD) Series A1 Round to Scale Sovereign Quantum Security Hardware Stackquantum-computing

QNu Labs Closes ₹200 Crore ($21.02M USD) Series A1 Round to Scale Sovereign Quantum Security Hardware Stack

QNu Labs Closes ₹200 Crore ($21.02M USD) Series A1 Round to Scale Sovereign Quantum Security Hardware Stack Indian quantum-safe cybersecurity provider QNu Labs has secured ₹200 crore ($21.02 million USD) in a Series A1 funding round co-led by the government-backed National Quantum Mission (NQM)—via the IITM C-DOT Samgnya Technologies Foundation with a ₹25 crore ($2.6 million USD) commitment—and venture capital firm Speciale Invest. The round attracted a global institutional syndicate, including the Sony Innovation Fund, Gaja Capital (₹35 crore) ($3.7 million USD), and Artha Ventures, bringing the startup’s total equity and debt capital raised to ₹375 crore ($39.4 million USD). The fresh equity is paired with ₹150 crore ($15.7 million USD) in convertible debt approved under India’s Research, Development, and Innovation (RDI) fund to build out physical network infrastructure. QNu Labs will allocate a portion of the capital as its co-investment contribution toward the Technology Backbone of India’s Quantum Secure and Sensing Networks (IQSN). Key infrastructure deployments include constructing a 2,000-kilometer live Quantum Key Distribution (QKD) trunk network connecting Bengaluru and Delhi to isolate critical banking systems, data centers, and power corridors from intercept-and-harvest decryption threats ahead of India’s 2029 quantum compliance mandate. [ QNu Labs Series A1 Funding & Deployment Roadmap ]Capital StructureLead & Participating SyndicateStrategic Network & Hardware Targets• Series A1 Equity: ₹200 Cr ($21.02M)• Co-Leads: National Quantum Mission, Speciale Invest• 2,000 km Commercial QKD Trunk (Bengaluru–Delhi)• RDI Convertible Debt: ₹150 Cr ($15.77M)• NQM Hub: IITM C-DOT Samgnya Tech Foundation (₹25 Cr)• Tactical Armed Forces QKD & Drone/Satellite Payloads• Cumulative Capital: ₹375 Cr ($39.42M)• Global/VC: Sony Innovation Fund, Gaja Capital, Artha Ventures• Commercial Banking Migration & U.S./Australia Expansion Incubated at IIT Madras,

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QpiAI Inaugurates 8-Inch Quantum Chip Foundry in Bengaluru Targeting 10,000-Qubit QPUsquantum-computing

QpiAI Inaugurates 8-Inch Quantum Chip Foundry in Bengaluru Targeting 10,000-Qubit QPUs

QpiAI Inaugurates 8-Inch Quantum Chip Foundry in Bengaluru Targeting 10,000-Qubit QPUs Full-stack quantum and AI startup QpiAI has inaugurated an 8-inch quantum processing unit (QPU) manufacturing facility in Jakkur, Bengaluru. Formally designated as Phase 2 of its 70,000-square-foot R&D center, the quantum foundry can fabricate flip-chip superconducting quantum processors with up to 128 physical qubits. The company plans to complete Phase 3 by 2027, expanding the cleanroom infrastructure to fabricate single QPUs containing up to 10,000 physical qubits. [ QpiAI Vertically Integrated Quantum Foundry Stack ] │ ┌────────────────────────────────────────┼────────────────────────────────────────┐ ▼ ▼ ▼ Cleanroom Lithography & Packaging Transmon & Fluxonium QPU Lineup Quantum Supremacy Centres (QSCs) • Class 100 & Class 1,000 Cleanrooms. • QVidya (8-qubit Transmon). • 10-Acre Campus in India. • 8-Inch Wafer Flip-Chip Assembly. • Indus (25-qubit Transmon). • 4 International QSC Sites Planned. • End-to-End Etching & 3D Stacking. • Kaveri (64-qubit) / Yukti (9-qubit). • Hybrid QPU-AI Data Infrastructure. Foundry Capabilities and Processor Roadmap The facility handles the full device manufacturing lifecycle on-site—including electron-beam lithography, wet/dry etching, patterning, Josephson-junction fabrication, 3D flip-chip assembly, and cryogenic packaging. Operating with Class 100 and Class 1,000 cleanroom specifications, the foundry manufactures superconducting QPUs along with peripheral control chips and sensors, while supporting R&D into photonic and semiconductor spin qubits. QpiAI has already fabricated four primary quantum processors at the site: QVidya: An 8-qubit superconducting transmon processor. Indus: A 25-qubit transmon QPU integrated into hybrid classical HPC data centers. Kaveri: A 64-qubit superconducting transmon chip using proprietary low-loss flip-chip interconnects. Yukti: A 9-qubit processor based on a fluxonium qubit variant, des

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QNu Labs and SRMIST Establish Quantum Communications Lab to Train Educator Cohortquantum-computing

QNu Labs and SRMIST Establish Quantum Communications Lab to Train Educator Cohort

QNu Labs and SRMIST Establish Quantum Communications Lab to Train Educator Cohort Indian quantum cybersecurity developer QNu Labs has partnered with the SRM Institute of Science and Technology (SRMIST) to establish a dedicated Quantum Communications Lab and train the university’s first certified cohort of faculty members in quantum communications. Supported by India’s National Quantum Mission (NQM) and the Department of Science and Technology (DST), the workforce initiative focuses on training educators to scale quantum communications coursework across higher education institutions. Incubated at the IIT Madras Research Park, QNu Labs equipped the new laboratory at SRMIST’s Kattankulathur campus with deployed, industry-grade hardware—the same quantum-safe technology utilized across national defense and banking infrastructure. Rather than relying on simulated software environments, the facility provides students and academic researchers with physical quantum key distribution (QKD) hardware and quantum-safe infrastructure to build, test, and benchmark real-world cryptographic applications. Through the QNu Academy framework, the initial faculty cohort underwent training and professional certification in quantum communications. By qualifying educators to deliver standardized quantum communications courses, the joint initiative aims to scale quantum education across SRMIST’s academic programs, creating a direct workforce pipeline of industry-ready quantum engineers and security specialists in alignment with national skilling objectives. The inaugural ceremony was attended by Dr. JBV Reddy (Head of the Quantum Technology Cell at NQM), Dr. C. Muthamizhchelvan (Vice Chancellor of SRMIST), Sunil Gupta (CEO and Co-founder of QNu Labs), and representatives from T-Hub. The lab deployment strengthens SRMIST’s quantum research infrastructure alongside its existing physical hardware initiatives under the National Quantum Mission. Review the announcement on Raksha Anirveda here. Aug

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How 3 engineers are chasing India's quantum computing dream with an IIT professor - India Todayquantum-computing

How 3 engineers are chasing India's quantum computing dream with an IIT professor - India Today

How 3 engineers are chasing India's quantum computing dream with an IIT professor They spent over a decade designing chips, built and sold a semiconductor company, and then started from scratch to enter quantum computing. Now, Sujoy Chakravarty, Ravi Mehta and Biman Chattopadhyay are building one of India's few commercial quantum computers through their Bengaluru-based startup Quanfluence, that hopes to beat what Google has been chasing till now.AdvertisementHow IIT Madras is helping 3 engineers build India's room-temperature quantum computer (In photo: 1st from R: Sujoy Chakravarty, 2nd: Biman Chattopadhyay, 3rd: Ravi Mehta, 1st from L: Sandeep Goyal, 2nd: Anil Prabhakar, 3rd: Aditi Vaidya) (AI-enhanced image)India Today Education DeskNew Delhi,UPDATED: Jul 28, 2026 11:13 ISTWritten By: Princy ShuklaAfter years of working on semiconductor technology, Sujoy Chakravarty, Ravi Mehta and Biman Chattopadhyay had already achieved what many entrepreneurs dream of.Their semiconductor intellectual property company, Silicon and Beyond, was acquired by Synopsys, one of the world's leading electronic design automation companies, in 2018.For many founders, such an exit would have marked the end of a long entrepreneurial journey.advertisement❮❯ Read Full StoryFor this trio, it raised a new question: could India build a quantum computer that businesses around the world would actually use? The answer led them to start Quanfluence, a Bengaluru-based deep-tech company now working on commercial quantum computing technology.A SIX-MONTH DETOUR THAT CHANGED THEIR CAREERSThe move into quantum computing was not a natural next step. Before Quanfluence, the three engineers had spent over a decade together at Texas Instruments, working in chip design and semiconductor engineering. They understood hardware, but quantum computing was an entirely new world.After their exit from Silicon and Beyond, they spent nearly six months studying different quantum technologies.They explored multiple approa

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SpaceWERX Physics-Constrained AI Cuts Space Object ID Time by 99%quantum-computing

SpaceWERX Physics-Constrained AI Cuts Space Object ID Time by 99%

The U.S. Space Force’s innovation arm, SpaceWERX, has awarded BosonQ Psi Federal LLC (BQP) its first federal contract to develop a new approach to identifying the thousands of objects detected daily by the U.S. Space Surveillance Network. Between 18,000 and 25,000 observations are collected each day, and a significant portion remain unidentified, posing challenges to space situational awareness. BQP will build a Physics-Constrained Quantum-Assisted Machine Learning (PC-QAML) software application designed to accelerate and improve the accuracy of object identification in orbit, reducing AI model size by 99% while maintaining over 99% classification accuracy. “Our goal is to make advanced AI practical where it matters most: on satellites and forward-deployed systems operating with limited computing power and intermittent communications,” said Rut Lineswala, Founder and CTO of BQP. BQP Secures SBIR Contract for Quantum-Assisted Space Domain Awareness This funding validates BQP’s technology and establishes the New York-based company as a player in the U.S. federal market, fostering collaboration with stakeholders focused on understanding the space environment. Unlike conventional AI approaches reliant on cloud computing or powerful GPUs, BQP’s solution is engineered for deployment on resource-constrained edge devices, like space-qualified processors. This efficiency translates to a tenfold reduction in inference latency and approximately 90% lower power consumption compared to traditional machine learning methods, as demonstrated on an NVIDIA Jetson Nano at the BMC3I TAP LAB. This capability is particularly crucial for Space Domain Awareness, where rapid distinction between routine activity and potential threats, such as satellite maneuvers or electronic interference, is paramount. The technology builds upon prior work with the Space Domain Awareness Tap Lab and supports objectives for both Space Operations Command (SpOC) Mission Delta 2 and Space Systems Command (SSC);

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QpiAI Open-Sources Quantum SDK for 8- and 25-Qubit Computer Accessquantum-computing

QpiAI Open-Sources Quantum SDK for 8- and 25-Qubit Computer Access

QpiAI has released its Quantum SDK as open-source software, giving developers a pathway to run algorithms on the company’s 8-qubit and 25-qubit quantum computers via QpiAI-QCloud. The Python-based toolkit includes both local state-vector and density matrix simulators, allowing for algorithm prototyping and validation before utilizing actual quantum hardware. This move is designed to expand access to quantum software development for a global audience, from researchers and startups to enterprise innovation teams. “Quantum computing will scale only when developers can experiment, learn, and deploy without friction,” says Lakshya Priyadarshi, VP, Quantum Platforms & Solutions at QpiAI. QpiAI Quantum SDK Enables Algorithm Development and Hardware Access QpiAI has empowered developers with access to quantum computing resources through the open-source release of its Quantum SDK, providing a pathway to algorithm prototyping and direct hardware execution. The software, available at https://github.com/qpiai/quantum-sdk, represents a deliberate effort to democratize quantum software development, extending its reach beyond established research institutions to a global network of developers, startups, and enterprise innovation teams. QpiAI intends the SDK to serve as a foundation for building specialized quantum solutions across diverse fields including finance, logistics, materials science, and artificial intelligence. The Python-based SDK streamlines the development process with features designed for both novice and experienced quantum programmers. The SDK is engineered to support AI-assisted and agentic development workflows, enabling faster prototyping and implementation of quantum applications. QpiAI is actively targeting educational institutions, offering a ready-made foundation for quantum computing coursework, research projects, and developer training programs, with early adopters eligible for preferential commercial terms through the QpiAI Academic & Innovation

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QpiAI Open-Sources Quantum SDK for 8- and 25-Qubit Cloud Accessquantum-computing

QpiAI Open-Sources Quantum SDK for 8- and 25-Qubit Cloud Access

QpiAI has released its Quantum SDK as open-source software, immediately providing developers with a pathway to run algorithms on the company’s 8-qubit and 25-qubit quantum computers via QpiAI-QCloud. The Python-based toolkit includes both local state-vector and density matrix simulators, allowing for algorithm prototyping and validation before utilizing actual quantum hardware. This move is designed to expand access to quantum software development for a global audience, fostering innovation across industries like finance, logistics, and artificial intelligence. “Quantum computing will scale only when developers can experiment, learn, and deploy without friction,” said Lakshya Priyadarshi, VP, Quantum Platforms & Solutions, QpiAI, emphasizing the SDK’s role as a bridge between theory and real-world application. QpiAI Quantum SDK Enables Algorithm Development and Hardware Access QpiAI has empowered developers with direct access to quantum hardware through the open-sourcing of its Quantum SDK, a move that bypasses the typical limitations of simulation-only environments and facilitates real-world algorithm testing. The Python-based toolkit is now freely available at https://github.com/qpiai/quantum-sdk and allows users to deploy algorithms on QpiAI’s 8-qubit and 25-qubit quantum computers via the QpiAI-QCloud platform at https://qcloud.qpiai.tech, representing a significant step toward democratizing access to quantum resources. This release isn’t merely about providing software; it’s about establishing a tangible connection between theoretical development and practical execution, crucial for accelerating progress in the field. QpiAI intends this release to broaden participation in quantum software development, targeting developers, researchers, universities, startups, and enterprise innovation teams globally. This dual approach is designed to optimize the development lifecycle, allowing for rapid iteration and refinement of quantum solutions. The toolkit is engineer

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