Q-Factor Secures $24M to Scale Neutral Atom Quantum Computer

36Kr Exclusive: Shenzhen Quantum Computing Firm Secures Series C+ Financing, Raises Nearly 1B Yuan in 3 Months, Achieves Large-Scale Profitability - 36Kr 36氪 Shenzhen-based SpinQ recently secured 600 million yuan in Series C+ financing. Combined with a previous round, the firm raised nearly 1 billion yuan in three months to support its full-stack development, spanning from quantum chip design to whole-machine manufacturing and algorithm applications. What does full-stack mean in quantum computing? At the foundation is the qubit. While classical bits store data as strictly 0 or 1, qubits can exist in superposition, representing combinations of 0 and 1 simultaneously. When qubits are linked through entanglement, the computational space grows exponentially, allowing quantum algorithms to process problems differently than classical systems. Building a quantum system requires a stack of technologies. At the hardware layer, SpinQ develops two modalities: Nuclear Magnetic Resonance (NMR) for portable educational systems, and superconducting circuits for industrial machines. Superconducting processors use ultra-cold electrical circuits to process quantum information. Above the physical qubits, a control layer sends precise signals to execute operations known as quantum gates. The application layer then translates complex calculations into these gate sequences. The firm is using its capital to target a 100-qubit superconducting processor and improve quantum error correction protocols to manage the natural fragility of qubit states. What this means: This capital accelerates the production of intermediate-scale superconducting hardware and educational quantum systems. What this does not mean: This does not announce a fault-tolerant, universal quantum computer. The technology remains in a phase where scaling qubit counts and mitigating errors are the primary focus. #QuantumComputing #QuantumTechnology #QuantumScience #Qubits #QuantumHardware #SuperconductingQubits #QuantumErrorCorrection https://lnkd.in/ekNQaPKB

Quantum computing may not need more qubits - just smarter ones Researchers at Chalmers University of Technology propose a new concept: giant superatoms - a system designed to improve how quantum information is controlled, shared, and preserved. Instead of treating qubits as isolated and fragile, this approach combines them into coordinated, multi-point interacting systems. Key signals: • Decoherence reduced by design Multi-point interactions create a “quantum echo,” helping systems retain information instead of losing it • Directional entanglement at distance Enables controlled transfer of entangled states - critical for quantum networks • Complexity shifted from hardware to behavior Multiple qubits operate as a single functional unit • Programmable interaction modes Supports both lossless transfer and long-range entanglement depending on configuration Why this matters: Quantum computing has been stuck in a loop: more qubits → more instability → more engineering overhead. If interactions - not components - become the focus, we could see simpler, more scalable quantum architectures emerge faster than expected. What’s changing: Isolated, fragile qubits → Interconnected, self-stabilizing quantum systems If quantum systems can manage stability and entanglement internally are we overengineering quantum hardware today? #QuantumComputing #DeepTech #QuantumPhysics #EmergingTech #Innovation #FutureOfComputing #QuantumNetworks #NextGenTech #ResearchBreakthrough #ScienceInnovation #InnoDexis

What if scaling quantum computers is not about adding complexity, but removing it? That’s the direction Atom Computing is taking: Instead of engineering artificial qubits, they start with, using Identical atoms, controlled by light. 👉 Their systems use: - Neutral atoms (Ytterbium-171) as qubits - Optical tweezers for wireless control - Resulting in intrinsically identical qubit structures The aim: • 1000+ qubits (AC1000 system) • Long coherence times • All-to-all connectivity 💡 What to watch We are still in a state, where Quantum Computing is a race between fundamentally different physics principles and neutral atoms are in a good position. As quantum scales, different paths are gaining popularity: - Superconducting systems - Ion traps - Neutral atoms Each comes with very different trade-offs. Follow Polaris School of Quantum to stay ahead of how this landscape evolves. #QuantumComputing #DeepTech #Innovation #FutureTech #NeutralAtoms #QuantumHardware #SchoolOfQuantum

Citi Research Explores Quantum Innovation For National Security And Infrastructure - quantumzeitgeist.com Citi Research recently evaluated the transition of quantum technology from theoretical potential to practical applications in national security and infrastructure, featuring insights from Infleqtion. At the core of this shift are qubits. Unlike classical computing bits that register as strictly 0 or 1, qubits use superposition to exist in combinations of both states. When linked through a property called entanglement, qubits can process highly complex variables simultaneously. Fully fault-tolerant quantum computers remain in development, requiring extensive error correction to protect these fragile qubit states from outside interference. Yet, early hardware is already beginning to run complex algorithms. However, the immediate breakthrough highlighted in the Citi assessment is quantum sensing. Quantum sensors harness the extreme environmental sensitivity of quantum states to measure physical changes. The exact same fragility that causes data errors in quantum computing makes qubits exceptional sensing instruments. They react to the slightest shifts in motion, time, or magnetic fields. This development means quantum technology is actively delivering ultra-precise navigation, timing, and threat detection today. These tools provide resilient positioning capabilities for defense and critical infrastructure in environments where classical systems struggle to maintain accuracy. This does not mean large-scale, error-free quantum computers are currently deployed. Instead, it demonstrates a dual reality: quantum sensing offers immediate, tangible security upgrades, while quantum computing hardware and algorithms steadily advance toward broader commercial utility. #QuantumComputing #QuantumTechnology #QuantumScience #Qubits #QuantumSensing #NationalSecurity #Infrastructure https://lnkd.in/eErrf-2y

Two of the most promising approaches in quantum hardware are joining forces. Monarch Quantum and Oratomic have announced a strategic partnership to develop utility-scale, fault-tolerant quantum computing systems. The collaboration brings together integrated photonics for high-fidelity optical control with neutral atom architectures designed for large-scale qubit arrays and error correction. This partnership targets a meaningful hardware milestone: systems with tens of thousands of physical qubits encoding thousands of error-corrected logical qubits by the end of the decade. This goal reflects a more efficient path to useful quantum computing than earlier assumptions that a million or more physical qubits would be necessary. The alliance also addresses a critical industry challenge: bridging the gap between experimental systems and commercially deployable platforms. Monarch Quantum will serve as the photonics systems integrator, handling engineering, product development, and large-scale manufacturing. This signals a serious focus on the supply chain and production realities that determine how quickly quantum hardware reaches end users. Collaborations like this highlight a maturing industry trend. Rather than trying to solve every layer of the quantum stack alone, companies are forming strategic partnerships that combine deep specialization. Photonics and neutral atoms are compelling on their own, but together they could unlock scalability and fault tolerance in ways neither achieves independently. The road to practical quantum computing is being built through exactly these kinds of focused alliances. #QuantumComputing #QuantumHardware #Photonics #NeutralAtoms #QuantumTechnology

One of the persistent engineering challenges in scaling quantum computers has nothing to do with the qubits themselves. It is the connectivity inside dilution cryostats. As quantum systems grow in size and complexity, the physical wiring and interconnects operating at temperatures just thousandths of a degree above absolute zero become a serious bottleneck. Interconnect density, thermal load, and electromagnetic crosstalk can all degrade qubit coherence and overall system fidelity. This critical infrastructure often receives less attention than headlines about qubit counts and error correction milestones. A few things worth understanding about this challenge: Dilution cryostats are essential infrastructure for most leading quantum architectures. The environment inside them is extraordinarily constrained, meaning every component must be optimized for thermal performance, signal integrity, and physical footprint. Traditional wiring approaches struggle to keep pace as systems scale from dozens to hundreds to thousands of qubits. New approaches to 3D connectivity and advanced materials are being explored across the industry. The quantum computing market is projected to reach up to $72 billion by 2035 according to McKinsey, and the broader hardware and software ecosystem could approach $170 billion by 2040 per BCG estimates. Solving infrastructure bottlenecks is essential to unlocking that growth. It is encouraging to see increasing investment and attention flowing toward the hardware integration layer. The path to fault-tolerant quantum computing depends not only on better qubits but on better ways to connect them. #QuantumComputing #QuantumHardware #DeepTech #QuantumTechnology

Quantum computers are not only chips, a big part is cables. Not everything in quantum is about qubits. Some of the most critical challenges are: - signal generation and measurement - noise reduction - physical connections at extreme (cryogenic and magnetic) conditions That is where HUBER+SUHNER comes in. They build the infrastructure behind the infrastructure: - High-frequency coaxial cables up to 20 GHz - Non-magnetic components for qubit stability - Reliable performance at cryogenic temperatures 💡 What you can do today If you are exploring quantum: - Pay attention to the supply chain, not just the headline players - Understand where engineering constraints actually come from - Look for bottlenecks in hardware integration and reliability 📌 Big picture Quantum will not only be won by better algorithms and highest number of qubits, but by companies that make systems actually work. Follow Polaris School of Quantum for more Hidden Champions shaping the future. #QuantumComputing #DeepTech #Engineering #Innovation #QuantumTechnology #SchoolOfQuantum

Quantum Computing Meets Standard CMOS Technology Welcome to Xenon Lab, where we explore the biggest breakthroughs shaping the future of computing and technology. A London-based startup Quantum Motion has unveiled what could be the first fully functional quantum computer built using standard CMOS silicon chip technology — the same manufacturing process used in modern smartphones and laptops. The system integrates a quantum processor with cryogenic electronics and a full software control stack compatible with popular quantum development frameworks like Qiskit and Cirq. Unlike many experimental quantum machines, this platform is designed for scalability and real-world deployment. The entire system fits into just three standard 19-inch server racks, making it compatible with modern data center infrastructure. By manufacturing qubits on 300-millimeter industrial silicon wafers, the company aims to scale the technology to millions of qubits, potentially enabling fault-tolerant and commercially viable quantum computing. The system has already been installed at the UK National Quantum Computing Centre (NQCC), where researchers are testing and validating the architecture. If successful, this silicon-based approach could dramatically accelerate the transition from experimental quantum systems to practical quantum computers within this decade. Subscribe for more breakthroughs in quantum computing and deep technology. #QuantumComputing #QuantumComputer #SiliconChips #CMOS #QuantumTechnology #FutureComputing #DeepTech #Qubits #QuantumMotion #TechInnovation #Supercomputing #NextGenComputing #ScienceNews #TechIndustry #TechDigest

https://lnkd.in/gv9QYt-m Insider Brief... • A new qubit platform developed at Argonne National Laboratory uses electrons trapped on solid neon and demonstrates noise levels 10–10,000 times lower than most semiconductor-based qubits, positioning it as a strong candidate for scalable quantum computing. • The system achieves a coherence time of about 0.1 milliseconds—nearly 1,000 times longer than prior semiconducting qubits—while maintaining high gate fidelity, indicating improved stability and accuracy in quantum operations. • Researchers attribute the low noise to neon’s chemically inert, impurity-free properties, though remaining challenges include mitigating stray electrons and surface imperfections to further optimize performance. ...Image by Xu Han/Argonne National

CavilinQ Secures $8.8M Seed Round to Develop Modular Quantum Interconnects CavilinQ, a hardware startup based in Cambridge, recently secured 8.8 million dollars in seed funding to develop modular quantum interconnects. The capital will be used to establish a specialized laboratory and expand their engineering team to create production-ready prototypes. To understand why this matters, we must look at how quantum computers are built. Most current quantum hardware relies on single-processor architectures. However, placing increasing numbers of qubits onto a single physical chip introduces significant physical scaling limitations, including space and power constraints. In classical computing, we solve similar bottlenecks by networking multiple chips together into a distributed system. CavilinQ aims to bring this distributed approach to quantum hardware. They are developing cavity-enhanced photonic links, which function as high-fidelity light-matter interfaces designed to transfer quantum information between separate chips. By establishing a high-speed networking layer, the goal is to unify isolated quantum processors so they operate as a single modular cluster. The company projects these interfaces will offer faster networking speeds than existing entanglement-based methods. This infrastructure is intended to support the large numbers of interconnected qubits required for future fault-tolerant quantum computing. This development means there is active progress toward solving physical scaling bottlenecks in quantum hardware through modular networking. It does not mean a utility-scale, distributed quantum computer exists today. The technology is currently entering the prototype development phase. Additionally, while the interconnect design is intended to work with various systems, initial hardware demonstrations will focus exclusively on neutral atom quantum processors. #QuantumComputing #QuantumTechnology #QuantumScience #Qubits #QuantumHardware #QuantumNetworking #NeutralAtoms https://lnkd.in/dvHgYvpJ