Quantum computing hit a wall. Photonics became the way around it. Just published in Laser Focus World my latest analysis on why quantum networking isn't just the future—it's the make-or-break technology happening RIGHT NOW. Key insights from Global Quantum Intelligence, LLC's research: 💡 Module size limits are non-negotiable: Every quantum platform hits a hard ceiling for how many qubits can fit in a single module. Superconducting circuits face cooling constraints at ~3,000 qubits per fridge. Trapped ions destabilize beyond 100-qubit 1D chains. Neutral atoms run into optical aperture limits at 10,000. Silicon spins promise millions on paper but haven't proven thermal management. The message is clear: scaling requires networking modules, not building bigger ones. 🔗 The modular revolution arrived faster than expected: While the industry chased monolithic designs, we called the distributed future in our May 2024 report: https://lnkd.in/gkbB7Txu Twelve months later, the evidence is overwhelming: Xanadu networked quantum modules across 13km of urban fiber. PsiQuantum achieved 99.72% chip-to-chip fidelity. IonQ transformed from a compute-only player into a full-stack quantum networking company through strategic acquisitions. 💰 Capital followed the technical breakthroughs: Welinq hit 90% quantum memory efficiency. Nu Quantum shipped the first rack-mounted QNU. Sparrow Quantum raised €21.5M for deterministic photon sources. Cisco jumped in with room-temperature chips producing 200 million entangled photon pairs per second. This isn't early-stage speculation—it's a race to build infrastructure. Players making it happen: Xanadu PsiQuantum Nu Quantum Welinq Sparrow Quantum Lightsynq IonQ Cisco Oxford Ionics ID Quantique Photonic Inc. QphoX Oxford Quantum Circuits (OQC) SilQ Connect Qunnect memQ Single Quantum Quantum Opus LLC Aegiq ORCA Computing Quandela QuiX Quantum Quantum Source If you're in photonics, this is it. You're not just making components anymore—you're building the backbone that makes million-qubit machines possible. Miss this wave, and you're watching from the sidelines. Full article: https://lnkd.in/g3pYEeqc #QuantumComputing #Photonics #QuantumNetworking #DeepTech #Innovation #FutureOfComputing
Quantum Network Architectures
Explore top LinkedIn content from expert professionals.
Summary
Quantum-network-architectures refer to the systems and methods used to link quantum processing units (QPUs) so that they can share and manipulate quantum information over distance, forming the foundation for future quantum computers and quantum internet. These architectures overcome the limits of single, monolithic quantum machines by connecting multiple modules using technologies like photonics, trapped ions, and remote entanglement, allowing for scalable, distributed quantum computation.
- Build modular systems: Focus on connecting smaller quantum modules together rather than scaling up individual machines, as networking enables progress beyond physical limits faced by single-chip architectures.
- Test and validate: Use real-world testbeds and integration platforms to trial new hardware and protocols, helping to bridge the gap between laboratory research and practical, deployable quantum networks.
- Pursue diverse integration: Combine different quantum technologies, from photonic interconnects to quantum-safe cryptography, to support secure, scalable, and reliable distributed quantum computing.
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MIT’s Quantum Breakthrough: Scalable Communication Between Distant QPUs Achieved Toward a True Quantum Supercomputer MIT scientists have achieved a major milestone in the development of scalable quantum computing by inventing a device that allows for direct, low-error communication between distant quantum processing units (QPUs). This advance, published in Nature Physics on March 21, enables what researchers call “remote entanglement,” a method that allows all-to-all connectivity between QPUs, laying the foundation for large-scale, highly efficient quantum supercomputers. The Problem with Current Quantum Architectures • Point-to-Point Limitations: Traditional quantum systems use a sequential, node-to-node “point-to-point” method for sharing quantum information. This approach requires data to travel across multiple QPUs to reach its destination, increasing exposure to noise and computational errors. • Scalability Bottlenecks: As the number of QPUs grows, coordinating and preserving coherent communication becomes increasingly difficult, hindering the development of large-scale quantum systems. MIT’s Solution: Remote Entanglement and All-to-All Communication • Remote Entanglement Explained: The MIT team demonstrated a method of entangling particles across spatially separated processors. Once entangled, changes to one quantum state instantaneously impact the other, even across distances. • All-to-All Architecture: This allows each QPU in a network to directly communicate with any other QPU without needing to pass through intermediate processors. It eliminates the daisy-chaining problem and minimizes information degradation. • Lower Error Rates: The system substantially reduces the chances of quantum errors due to decoherence and signal noise, a persistent challenge in quantum computing. Key Benefits of the New Device • Massive Performance Gains: By enabling faster, more direct communication, MIT’s architecture promises significant gains in quantum computation speed, reliability, and complexity handling. • Increased Scalability: With all-to-all communication possible, future quantum computers can scale to dozens, hundreds, or even thousands of QPUs without the exponential error risks associated with existing designs. Why This Matters MIT’s innovation addresses one of the most pressing hurdles in building practical, large-scale quantum systems: scalable, error-resistant interconnectivity. By enabling QPUs to speak directly to one another via remote entanglement, the dream of a true quantum supercomputer comes significantly closer to reality. Such machines could transform fields like materials science, cryptography, climate modeling, and drug discovery—areas where classical computers fall short. This breakthrough not only advances quantum computing architecture but sets the stage for a new era of distributed quantum intelligence. Analog Physics qai.ai
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Check out the latest from MIT EQuS and Lincoln Laboratory published in @NaturePhysics! In this work, we demonstrate a quantum interconnect using a waveguide to connect two superconducting, multi-qubit modules located in separate microwave packages. We emit and absorb microwave photons on demand and in a chosen direction between these modules using quantum entanglement and quantum interference. To optimize the emission and absorption protocol, we use a reinforcement learning algorithm to shape the photon for maximal absorption efficiency, exceeding 60% in both directions. By halting the emission process halfway through its duration, we generate remote entanglement between modules in the form of a four-qubit W state with concurrence exceeding 60%. This quantum network architecture enables all-to-all connectivity between non-local processors for modular, distributed, and extensible quantum computation. Read the full paper here: https://lnkd.in/eN4MagvU (paywall), view-only link https://rdcu.be/eeuBF, or arXiv https://lnkd.in/ez3Xz7KT. See also the related MIT News article: https://lnkd.in/e_4pv8cs. Congratulations Aziza Almanakly, Beatriz Yankelevich, and all co-authors with the MIT EQuS Group and MIT Lincoln Laboratory! Massachusetts Institute of Technology, MIT Center for Quantum Engineering, MIT EECS, MIT Department of Physics, MIT School of Engineering, MIT School of Science, Research Laboratory of Electronics at MIT, MIT Lincoln Laboratory, MIT xPRO, Will Oliver
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The internet didn’t appear overnight. It evolved, layer by layer, through cycles of iteration. The Quantum Internet is on the same journey. ARPANet and NSFNet, the earliest versions of what would become the internet, were built atop pre-existing telecom infrastructure: copper lines, analog switches, tying together emerging computing systems. What we consider the backbone of the internet: fiber optics, packet switching, and TCP/IP were integrated progressively, after validation through focused field trials. Key components, like optical amplifiers and transceivers, were not off-the-shelf products. They were born in labs as improvements and battle-tested in experimental networks. Quantum networking isn’t just an upgrade, it’s an entirely new stack, built from scratch atop infrastructure never meant for fragile quantum states. Every layer, from the physical interface to routing, timing, and control, must be reimagined. Core components like quantum memories, entangled-photon sources, detectors, and polarization control are still evolving as they are often costly, delicate, and confined to academic labs. But those days are coming to an end: Qunnect has operational devices covering all functions, forming a deployable quantum networking stack strategic partners are innovating on today. So how do we drive adoption? By building compelling use cases and running integration tests. History offers a clear playbook. For example, in the 90s, Defense Advanced Research Projects Agency (DARPA) and the National Science Foundation (NSF) launched the Gigabit Testbed Initiative, five parallel networks, each experimenting with different architectures, custom hardware, and emerging protocols. These weren’t just about testing links; they trialed full system stacks in real environments, enabling rapid iteration and real-world feedback. That approach helped shape the classical internet, and it’s exactly how we’ll shape the quantum internet. Testbeds are how we close the gap between fundamental research and deployable infrastructure. That’s how we go from physics experiments to a real quantum internet, and how we scale it. Platforms like the Numana testbed give researchers/industry a place to validate components under realistic conditions. Enabling co-design across hardware, protocols, and system control. They surface integration challenges and help us measure what actually works. For all these reasons we also built Qunnect's GothamQ, and why we’re helping others build theirs, whether it’s with the teams at T-Labs, Air Force Research Laboratory, or at National Institute of Standards and Technology (NIST). 👇
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IonQ's share price has been on a run. Let’s set markets aside and look at the technology and strategy driving the company. 𝗖𝗼𝗿𝗲 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 IonQ’s systems are based on 𝘁𝗿𝗮𝗽𝗽𝗲𝗱-𝗶𝗼𝗻 𝗾𝘂𝗯𝗶𝘁𝘀 - individual atoms confined in electromagnetic fields and manipulated with lasers. This approach is valued for its long coherence times and all-to-all qubit connectivity, though it comes with trade-offs such as slower gate speeds. Progress is tracked with so-called '𝘢𝘭𝘨𝘰𝘳𝘪𝘵𝘩𝘮𝘪𝘤 𝘲𝘶𝘣𝘪𝘵𝘴' (𝘈𝘘) - today at 36, with the Tempo system targeting #AQ 64. 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 & 𝗘𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 The go-to-market approach is hybrid. Integration with NVIDIA'𝘀 𝗖𝗨𝗗𝗔-𝗤 embeds IonQ’s QPUs into HPC workflows, aiming at reducing classical overhead and lowering adoption barriers for enterprise users. 𝗦𝗰𝗮𝗹𝗶𝗻𝗴 & 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝗶𝗻𝗴 Scaling is pursued via 𝗺𝗼𝗱𝘂𝗹𝗮𝗿, 𝗻𝗲𝘁𝘄𝗼𝗿𝗸𝗲𝗱 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲𝘀, not monolithic chips. This direction is backed by U.S. Department of Defense and Department of Energy contracts focused on secure distributed quantum networks, with the long-term goals of extending these capabilities to space-based systems. 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗔𝗰𝗾𝘂𝗶𝘀𝗶𝘁𝗶𝗼𝗻𝘀 IonQ’s M&A strategy is combined vertical integration with diversification: • Oxford Ionics: Ion-trap-on-chip IP to strengthen manufacturable, high-fidelity qubits. • Qubitekk, Inc.: Quantum networking hardware and IP, essential for distributed architectures. • Lightsynq: Photonic interconnects and memory technology, supporting modular scaling. • Capella Space: Satellite assets and expertise relevant to space-based quantum networking. • ID Quantique: Quantum-safe communications and cryptography IP, bolstering the security side of the stack. • Vector Atomic (pending): Expansion into quantum sensing. Unlike most quantum players who focus more narrowly on scaling a single hardware stack, IonQ is building across compute, networking, sensing, and security. It’s a broader play than we’re used to seeing in this field. The challenge now lies in execution: Integrating this many acquisitions is never simple, and the key question is how quickly they can translate into results. 📸 Credits: Perplexity, IonQ
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In a recent paper published on arXiv, Cisco researchers have developed a realistic, modular architecture for integrating quantum networking into classical data centers using photonic interconnects and quantum repeaters. Simulations show that even with current hardware limitations, the system can support high rates of entanglement generation suitable for early quantum applications. The study emphasizes the importance of fast classical control and synchronization, identifying timing delays as a key bottleneck in practical quantum network performance. https://lnkd.in/ee9BACjQ
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Is this the "Attention Is All You Need" moment for Quantum Computing? Oxford University scientists in Nature have demonstrated the first working example of a distributed quantum computing (DQC) architecture. It consists of two modules, two meters apart, which "act as a single, fully connected universal quantum processor." This architecture "provides a scalable approach to fault-tolerant quantum computing". Like how the famous "Attention Is All You Need" paper from Google scientists introduced the Transformer architecture as an alternative to classical neural networks, this paper introduces Quantum gate teleportation (QGT) as an alternative to the direct transfer of quantum information across quantum channels. The benefit? Lossless communication. But not only communication: computation also. This is the first execution of a distributed quantum algorithm (Grover’s search algorithm) comprising several non-local two-qubit gates. The paper contains many pointers to the future, which I am sure will be pored over by other labs, startups and VCs. I am excited to follow developments in: - Quantum repeaters to increase the distance between modules - Removal of channel noise through entanglement purification - Scaling up the number of qubits in the architecture Amid all the AI developments, this may be the most important innovation happening in computing now. https://lnkd.in/e8qwh9zp
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Exciting news from Cisco / Outshift by Cisco Quantum Labs : I just published a blog on our prototype network-aware Quantum Compiler, engineered for distributed quantum data centers (QDCs). This is not just another compiler — it’s built with network connectivity, error correction, scheduling, and cross-device orchestration all baked in. Outshift by Cisco 🔍 Why this matters: Quantum hardware is advancing, but single QPUs alone won’t get us to useful, large-scale quantum workloads. Outshift by Cisco A QDC architecture lets us interconnect multiple QPUs across a network, but that demands new software that can reason about communication, locality, entanglement, and fault tolerance. Outshift by Cisco Our network-aware compiler introduces innovations in: Circuit partitioning with communication awareness Qubit mapping across devices Advanced scheduling of entanglement & gate operations Multi-tenancy & resource allocation in shared quantum compute environments Supprot for distributed error correction you can read my blog here : https://lnkd.in/ey5nuz95 #quantum #quantumcomputing #quantumnetworkign #quantumcompiler
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