Distributed Quantum Sensor Network Reaches Ultra-High Resolution Near Heisenberg Limit Introduction A research team at the Korea Institute of Science and Technology (KIST) has unveiled the first distributed quantum sensor network to achieve ultra-high resolution and precision simultaneously. By employing entangled multi-mode N00N states, the team advanced quantum metrology toward the Heisenberg limit, opening the door to breakthrough applications in bioimaging, semiconductors, and astronomy. Key Details Core Innovation Traditional distributed quantum sensors boost precision but fall short in resolution. KIST used multi-mode N00N states—entangling multiple photons along four spatial paths—to generate denser interference fringes. This enables both high sensitivity (detecting minute physical changes) and super-resolution imaging (resolving ultra-fine details). Performance Results Achieved ~88% higher precision (2.74 dB improvement) compared to conventional techniques. Demonstrated experimental performance approaching the Heisenberg limit, the ultimate quantum precision boundary. Simultaneously measured two phase parameters with entangled photons, validating scalability for complex sensing tasks. Applications Life Sciences – high-clarity imaging of subcellular structures beyond conventional microscopes. Semiconductor Industry – nanometer-scale defect detection in integrated circuits. Precision Medicine – non-invasive diagnostics requiring extreme sensitivity. Astronomy & Space Observation – sharper resolution of distant galaxies and cosmic structures. Strategic Significance Quantum sensors are designated as next-generation strategic technology by the U.S., EU, and others. Korea’s advance signals growing international competitiveness in quantum-enabled defense, industry, and science. Future integration with silicon-photonics quantum chips could bring quantum sensing into everyday devices. Why It Matters This breakthrough shows that distributed quantum sensor networks can surpass classical limits in both precision and resolution, not just one or the other. By merging entanglement-based sensitivity with super-resolution imaging, KIST’s advance marks a pivotal step toward practical, scalable quantum metrology. The potential impact spans industries, from strengthening semiconductor reliability to enabling discoveries in biology and space science—cementing quantum sensing as a cornerstone of 21st-century technology. I share daily insights with 28,000+ followers and 10,000+ professional contacts across defense, tech, and policy. If this topic resonates, I invite you to connect and continue the conversation. Keith King https://lnkd.in/gHPvUttw
Quantum Technology Applications in Distributed Systems
Explore top LinkedIn content from expert professionals.
Summary
Quantum technology applications in distributed systems are transforming how information is processed and shared, using principles from quantum physics like entanglement to achieve new levels of speed, precision, and security. These innovations allow multiple devices to work together as one powerful system, unlocking breakthroughs in communication, sensing, and computing that surpass classical limits.
- Explore secure communication: Quantum entanglement enables ultra-secure and tamper-proof messaging across networks, making data privacy a reality for businesses and governments.
- Boost scientific discovery: Distributed quantum sensors deliver sharper imaging and more sensitive measurements in fields like medicine, semiconductor manufacturing, and astronomy.
- Advance collaborative computing: Linking smaller quantum devices through distributed architectures allows powerful calculations, promoting scalable quantum computing and privacy-preserving machine learning.
-
-
Breakthrough for the #quantum internet: For the first time a major telco provider has successfully conducted entangled photon experiments - on its own infrastructure. ➡️ 30 kilometers, 17 days, 99 per cent fidelity. Our teams at T-Labs have successfully transmitted entangled photons over a fiber-optic network. Over a distance comparable to travelling from Berlin to Potsdam. The system automatically compensated for changing environmental conditions in the network. Together with our partner Qunnect we have demonstrated that quantum entanglement works reliably. The goal: a quantum internet that supports applications beyond secure point-to-point networks. Therefore, it is necessary to distribute the types of entangled photons. The so-called qubits, that are used for #QuantumComputing, sensors or memory. Polarization qubits, like the ones used for this test, are highly compatible with many quantum devices. But: they are difficult to stabilize in fibers. From the lab to the streets of Berlin: This success is a decisive step towards the quantum internet. 🔬 It shows how existing telecommunications infrastructure can support the quantum technologies of tomorrow. This opens the door to new forms of communication. Why does this matter for people and society? 🗨️ Improved communications: The quantum internet promises faster and more efficient long-distance communications. 🔐 Maximum security: Entanglement can be used in quantum key distribution protocols. Enabling ultra-secure communication links for enterprises and government institutions 💡Technological advancement: high-precision time synchronization for satellite networks and highly accurate sensing in industrial IoT environments will need entanglement. Developing quantum technologies isn’t just a technical challenge. A #humancentered approach asks how these systems can be built to serve real needs and be part of everyday infrastructure. With 2025 designated as the International Year of Quantum Science and Technology, now is the time to move from research to readiness. Matheus Sena, Marc Geitz, Riccardo Pascotto, Dr. Oliver Holschke, Abdu Mudesir
-
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
-
The last two days have seen two extremely interesting breakthroughs announced in quantum computing. There is a long path ahead, but these both point to the potential for dramatically upscaling ambitions for what's possible in relatively short timeframes. The most prominent advance was Microsoft's announcement of Majorana 1, a chip powered by "topological qubits" using a new material. This enables hardware-protected qubits that are more stable and fault-tolerant. The chip currently contains 8 topologic qubits, but it is designed to house one million. This is many orders of dimension larger than current systems. DARPA has selected the system for its utility-scale quantum computing program. Microsoft believes they can create a fault-tolerant quantum computer prototype in years. The other breakthrough is extraordinary: quantum gate teleportation, linking two quantum processes using quantum teleportation. Instead of packing millions of qubits into a single machine—which is exceptionally challenging—this approach allows smaller quantum devices to be connected via optical fibers, working together as one system. Oxford University researchers proved that distributed quantum computing can perform powerful calculations more efficiently than classical systems. This could not only create a pathway to workable quantum computers, but also a quantum internet, enabling ultra-secure communication and advanced computational capabilities. It certainly seems that the pace of scientific progress is increasing. Some of the applications - such as in quantum computing - could have massive implications, including in turn accelerating science across domains.
-
Excited to announce that a new #quantumcompting work, produced by Global Technology Applied Research at JPMorgan Chase & Co. and titled “Privacy-preserving quantum federated learning via gradient hiding,” has just appeared on arXiv! Distributed quantum computing, particularly distributed #quantum #machinelearning, has gained substantial prominence for its capacity to harness the collective power of distributed quantum resources. Remarkably, distributed quantum computing protocols offer a ray of hope in addressing privacy concerns in the presence of adversaries. In particular, classical #federatedlearning algorithms are susceptible to potential gradient-inversion attacks by servers. While techniques employing homomorphic encryption or differential privacy have been introduced to tackle this problem, they usually demand additional computational and communication overhead, or come at the expense of reduced model accuracy. In this work, we introduce novel quantum federated learning protocols with #quantumcommunication to address the above challenge, aiming to both bolster the privacy of federated learning and reduce communication overhead. Specifically, we propose two types of protocols: one based on private inner-product estimation to perform model aggregation, and the other based on the concept of incremental learning to encode the aggregated model gradient in the phase of the quantum state. These protocols offer substantial advancements in privacy preservation with low communication resources, contributing to the development of secure distributed quantum machine learning, thus addressing critical #privacy concerns in the quantum computing era. This work is indeed a continuation of our recent efforts in the field of privacy-aware quantum machine learning, such as our blind quantum bipartite correlation algorithm, and privacy provided by expressive quantum circuits. Link to the scholarly article: https://lnkd.in/ekcrc_TZ Co-authors: Changhao Li, Niraj Kumar, Zhixin Song, Shouvanik Chakrabarti and Marco Pistoia
-
Quantum computers have the potential to solve complex problems that are beyond the capabilities of classical supercomputers. Current methods ("point-to-point" ) involve complex intermediary circuits, which introduce noise and loss. To overcome these challenges, Massachusetts Institute of Technology researchers have developed a new interconnect device that supports scalable, "all-to-all" communication. This allows all superconducting quantum processors in a network to communicate directly with each other. Key Takeaways: 💻 The new device supports scalable, "all-to-all" communication among quantum processors. ⚛️ Demonstrates remote entanglement, a key step toward developing a powerful, distributed network of quantum processors. ⚡ The interconnect can send photons at different frequencies, times, and in two propagation directions, enhancing network flexibility and throughput. 📈 Achieved over 60% photon absorption efficiency using a reinforcement learning algorithm. 🪴 This technology could be expanded to other kinds of quantum computers and larger quantum internet systems, essential for scalable quantum networks Read more at https://lnkd.in/efj23u6t Research from Aziza Almanakly , Beatriz Yankelevich, Max Hays, Bharath Kannan, Reouven Assouly, Alex Greene, Michael Gingras, Bethany Niedzielski Huffman, Hannah Stickler, Mollie Schwartz, Kyle Serniak, Joel I-Jan Wang, Terry P. Orlando, Simon Gustavsson, Jeffrey A. Grover, and Will Oliver in the MIT Lincoln Laboratory MIT Department of Physics Massachusetts Institute of Technology
-
I'm so so thrilled to see our first GothamQ paper formally published in my most favorite journal, PRX Quantum 🎉 (link at the end) I've published many papers as a grad student, postdoc, and now a group lead but this work is so unique to me. To be fully honest, for the first time I feel like we have done something really impactful! On the surface, this is a very simple work! We distributed entanglement in NYC. But in reality this paper is the result of 4 years of nonstop hard work of our physicists, engineers, and software developers. We had to invent and manufacture a new entanglement source that works at room temperature (hence actually useful for qu. networking) but has lots of advantages over all the other alternative options. We had to invent and manufacture the devices that very rapidly and with very low loss monitor the infrastructure for any imperfections. We had to write thousands of lines of codes so both devices work together automatically and without any need for manual optimization. And on top of all that we had to negotiate and build a quantum testbed in one of the world's most busy and chaotic cities. We did all that to prove one thing: Entanglement distribution is ready for prime time, beyond academic and research testbeds. The technology has reached a pivotal point where everything is robust and high quality for practical use cases by a much wider community than just quantum physicists. This shift is not only essential for us to be able to use entanglement for applications we already know of, but also to make it widely available for much more creative people than us to constantly think of use cases for quantum networks and entanglement links. I really hope if you are in this field, you enjoy reading this paper and as always don't hesitate to reach out to me for any questions. Goes without saying, this work is all thanks to our amazing team at Qunnect, and a huge congrats to all the authors Alexander Craddock, Anne Lazenby, Gabriel Bello Portmann, Rourke Sekelsky, Maël Flament https://lnkd.in/eteZNASt