InnoDexis’ Post

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

Quantum leap - IOWN meets quantum computing 🚀 Optical Quantum Computing: The Next Step Toward Quantum Advantage Optical quantum computers are emerging as a promising approach to overcome the scalability challenges of today’s quantum architectures. A recent interview highlights why photonic systems are gaining increasing attention. 🔑 Key takeaways: • Photons as Qubits Information is encoded in the states of individual photons—highly resistant to thermal noise and operable without cryogenic cooling. • Computation via Linear Optics & Measurement Quantum operations are realized through optical components combined with measurement-based approaches (MBQC)—simplifying hardware while shifting complexity to control logic. • Scalability through Cluster States Large entangled states enable sequential computation—offering a viable path toward scalable quantum systems. • Seamless Integration into Networks Photons are native carriers in fiber optics—ideal for distributed quantum computing and quantum networking. • Open Challenges Deterministic photon sources, efficient detection, and loss management remain key technical hurdles. 💡 Conclusion: Photonic quantum computing combines physical advantages with infrastructure compatibility, offering strong potential for scalable and efficient systems. Learn more from NTT R&D at https://lnkd.in/d7c8iTbT and watch the full interview with Vito Mabrucco from NTT at https://lnkd.in/dAFb9FWW #NTT #NTTRESEARCH #QuantumComputing #Photonics #Innovation #DeepTech #FutureTech #DigitalTransformation

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

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

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

Chinese Academy of Sciences Demonstrates Universal Gate Operation Exceeding Fault-Tolerance Threshold Researchers at the Chinese Academy of Sciences have designed a quantum bus, utilizing engineered virtual photons to connect spin and superconducting modules. This bus enables universal gate operation between modules in 40 nanoseconds, achieving 99.05% fidelity and surpassing the fault-tolerance threshold. #quantum #quantumcomputing #technology https://lnkd.in/ehPQU4hf

Everyone's talking about qubits. But the real engineering challenge? The wires. Scaling a quantum processor means routing hundreds of coaxial cables from room temperature down to near absolute zero — each one carrying precise microwave signals and dumping heat into a system that can barely tolerate it. At 540 qubits, the world's best labs are already hitting the ceiling. Getting to a million? That requires a fundamentally different approach to the physical layer. The industry calls it the Interconnect Wall. And it's the reason QTREX exists. Today, Science Times published a deep analysis of this challenge — how it's shaping the future of quantum computing, and why we believe Additively Manufactured Electronics is the way through. Read the full article here >> https://lnkd.in/dwXCD-iZ

One breakthrough quantum device is exciting… but can you build it again—and again—with the same performance? That’s where reproducibility becomes one of the biggest hidden challenges in quantum technology. From superconducting qubits to spin qubits and quantum dots, tiny fabrication variations can dramatically impact coherence, fidelity, and scalability. Without reproducibility, quantum devices remain lab experiments instead of real-world technologies. In my latest article, I break down why reproducibility is the true bridge between quantum research and commercialization—and why nanofabrication precision may define the future of quantum computing. Read more: https://lnkd.in/e6QCdxiW #QuantumComputing #Nanofabrication #QuantumDevices #SemiconductorEngineering #Shackery

We published a structural analysis of frontier computing. Eight platforms assessed. Three findings that differ from the consensus: 1. Every major quantum computing platform currently deployed — superconducting qubits, trapped ion, NISQ photonic — sits in the same structural class as classical silicon. The second degree of freedom, where qualitatively different operations live, is not engaged. 2. Microsoft’s topological architecture is the first platform to enter a structurally distinct regime. Eight qubits. Proof of concept. The structural direction is confirmed correct. 3. The next architecture is not a single platform. It is a composition of three: a topological backbone, dual-track photonic-phononic hardware, and resonance-linked neuromorphic control. Each does a different job. None of them alone is sufficient. The energy implication: if 30% of AI compute transitions to the right architectural path by 2035, the demand curve inverts. Approximately 400 TWh recovered versus the IEA baseline — the equivalent of the Netherlands’ annual electricity consumption. Every claim in the analysis carries a falsifier. The conditions under which each prediction is wrong are stated precisely. Article: “The Geometry of Enough” — link in comments. #FrontierComputing #QuantumComputing #EnergyTransition #StructuralIntelligence #GIAYN

Atomic Gate Design Boosts Stability Tenfold for Quantum Computing Can a quantum gate maintain 99. 35% fidelity when atoms are not perfectly still and laser beams wobble. A newly optimised controlled-Z gate for ultracold neutral atoms achieves this level of precision, representing a nearly tenfold improvement in resilience to real-world imperfections. #quantum #quantumcomputing #technology https://lnkd.in/enEkrXkp