Quantum Networking and Energy Transfer Applications

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

A Dark State of 13,000 Entangled Spins Unlocks a Quantum Register Researchers have achieved a major breakthrough in quantum networking by entangling 13,000 nuclear spins within a gallium arsenide (GaAs) quantum dot system, successfully creating a scalable quantum register. This advancement could significantly improve secure quantum communication and long-distance quantum information transfer. Key Breakthrough: 13,000-Spin Quantum Register • Quantum registers are crucial for storing and transferring quantum information over long distances, but scalability and coherence have been major challenges. • The research team developed a quantum register using a network of nuclear spins, demonstrating stable and controllable entanglement across 13,000 qubits. • This marks a significant leap toward practical, large-scale quantum storage and enhances the potential for quantum networks. Why Quantum Dots Matter • Quantum dots are nano-sized semiconductor particles that can trap and control electrons, acting as quantum nodes in a future quantum internet. • They are valuable because they emit single photons, a key requirement for secure quantum communication and quantum computing. • To be truly effective, quantum networks need stable qubits that can interact with photons and store information without significant errors—a challenge that this research addresses. Implications for Quantum Technology • Ultra-Secure Quantum Networks: Scalable quantum registers could enable long-range entanglement, making quantum encryption even more secure. • More Reliable Quantum Computing: Storing information across a large number of nuclear spins enhances quantum memory stability, improving error correction. • Faster Quantum Information Processing: The ability to control thousands of entangled spins could lead to more efficient quantum operations. What’s Next? • Researchers will work on extending coherence times and improving error correction mechanisms to make this technology more practical for real-world quantum applications. • The next phase involves integrating quantum registers with photonic quantum networks, moving closer to a global quantum internet. By unlocking stable, large-scale entanglement within quantum dot systems, this discovery represents a major step toward building ultra-fast, secure quantum networks—bringing the vision of practical quantum communication closer to reality.

Tesla meets Helstrom: a Wireless-Powered Quantum Optical System 👉 https://lnkd.in/egjUu4Qi Imagine a quantum transmitter that runs without batteries — harvesting wireless energy like Tesla dreamed — and then encoding information using quantum states detected with Helstrom’s optimal measurements. That’s exactly what this work explores: bridging wireless power transfer and quantum optical communications into a unified system. Using optimization and semidefinite programming, we show how to jointly tune energy harvesting and quantum detection to push data rates under real channel conditions. 💡 It’s a first step toward sustainable, battery-free quantum communications for 6G and beyond. This paper will appear in IEEE Wireless Communications Letters (2025). #Quantum #WirelessEnergy #6G #FutureTech #ERC #IRIDA

Quest - ION Everything — Think Quantum — State of Being — Quantum Applications Intersecting AC Electricity, Tesla's Innovations, Telemetry, and Faraday's Principles Explore the confluence of quantum mechanics with alternating current (AC) systems, Nikola Tesla's pioneering work (potentially including wireless telemetry or energy transmission), and Michael Faraday's foundational discoveries in electromagnetism. While these topics span classical physics and emerging quantum technologies, recent research highlights intriguing overlaps: quantum effects enhancing AC power efficiency, zero-point energy (ZPE) inspired by Tesla's radiant energy concepts, quantum telemetry for precise sensing in magnetic fields, and quantum analogs of Faraday's induction law. As of January 2026, advancements in quantum engineering are bridging these areas, with applications in energy harvesting, wireless power, and advanced sensing. Global research funding in quantum-electromagnetic hybrids has surged, reaching over 500 million dollars in 2025, driven by efforts to achieve sustainable energy and secure communications. Faraday's 1831 discovery of electromagnetic induction—where a changing magnetic field induces an electromotive force (EMF) in a conductor—laid the groundwork for AC power, which Tesla later commercialized in the late 1880s through polyphase AC systems and rotating magnetic fields. Quantum mechanics extends these classical principles by incorporating effects like superposition and entanglement, enabling novel applications in AC-related technologies. 1. Quantum-Enhanced AC Power Systems and Energy Harvesting Quantum mechanics is revolutionizing AC electricity by addressing inefficiencies in generation, transmission, and storage—echoing Tesla's vision of wireless power and Faraday's induction. Zero-Point Energy (ZPE) and Radiant Energy: Tesla's "radiant energy" concepts, described in his 1901 patent for harnessing cosmic rays and vacuum fluctuations, align with modern quantum vacuum energy extraction. In quantum terms, ZPE refers to the ground-state energy of quantum fields, which persists even at absolute zero. Recent experiments (2025) at labs like QuEra and Princeton have used superconducting circuits to tap ZPE for low-power AC generation, producing sinusoidal outputs via quantum oscillations. This could enable "free energy" devices, as Tesla envisioned, by reversing the Casimir effect—where quantum fluctuations between plates generate repulsive forces convertible to AC current.

Qunnect's team has demonstrated polarization entanglement between telecom photons and a room-temperature quantum memory. #Quantum memories are critical elements of entanglement-based quantum networks, enabling the storage and retrieval of quantum states. Our breakthroughs tackle major limitations of existing quantum platforms, which usually rely on cryogenic setups and vacuum apparatus. Room-temperature quantum memories and #entanglement sources, like those based on atoms of rubidium, offer practical solutions for quantum networking, repeaters, and distributed #quantumcomputing or #quantumsensing. As we continue advancing these technologies, we anticipate many further improvements: extending coherence times into the millisecond regime through specialized vapor cells, enhancing fidelity with optimized photon sources, and increasing efficiency via noise filtering techniques... All towards increasing the performances of our existing commercial units, including the #quantummemory we launched in 2021, and which remains, for now, the only commercially available quantum memory. Ultimately, our solutions pave the way for scalable, affordable, and reliable quantum infrastructure suited to real-world applications. > For all the details, check out our team's pre-print paper by Yang Wang, here: https://lnkd.in/eQn6_xUv > Or explore a deep-dive blog post from Qunnect’s CSO Mehdi Namazi, here: https://lnkd.in/eunnfKpf

PHOTON-INTERFACED SCALABLE QUANTUM NODES LINKING LIGHT AND MATTER The photon‑interfaced ten‑qubit register of trapped ions constitutes a potential advance in the development of scalable quantum network nodes. In this architecture, each ion in a ten‑qubit linear chain is individually entangled with a propagating photon, producing a sequential train of ion–photon Bell pairs with high fidelity. Previous experiments had only achieved this capability for one or two ions, making the extension to a full ten‑qubit register a meaningful step toward practical matter‑to‑light interfaces for distributed quantum information processing. The system operates by dynamically transporting ions into the mode of an optical cavity and driving a cavity‑mediated Raman transition that generates a single photon entangled with the ion’s internal qubit state. This procedure yields a time‑ordered photonic qubit stream in which each photon carries the quantum information of a distinct ion. The significance of this work lies in its direct response to a central challenge in quantum networking: the need to map the quantum state of a multi‑qubit matter register onto a set of photonic qubits that can propagate through optical fiber with low loss. Trapped ions serve as exceptionally coherent stationary qubits, but they cannot be transported between processors. Photons, by contrast, function as low‑loss flying qubits capable of transmitting quantum information over long distances. Ion–photon entanglement is therefore the essential mechanism for linking spatially separated ion‑based processors. Scaling this interface to ten ions establishes a clear path toward high‑rate, multiplexed entanglement distribution. This scaling is particularly relevant in light of recent long‑distance demonstrations in which multiple ions, each entangled with its own photon, were used to increase entanglement distribution rates over fiber links exceeding one hundred kilometers. Generating a rapid sequence of entangled photons—each correlated with a different ion—enables temporal multiplexing, which is indispensable for overcoming fiber loss and improving heralded entanglement rates. The ten‑ion photon‑interfaced register provides precisely the type of multiplexed matter‑to‑light source required for such architectures. Despite its importance, several technical challenges remain. Photon detection probabilities must be increased to support long‑distance networking without excessive repetition rates. Sequential ion shuttling introduces timing overhead and potential motional heating, and cavity alignment and stability become increasingly demanding as the register size grows. Maintaining spectral and temporal indistinguishability across the full photon train is essential for multi‑node entanglement generation and remains an active area of optimization. These challenges, however, represent engineering refinements rather than fundamental limitations. #DOI: https://lnkd.in/e5HRus5e