"Quantum entanglement: How it can improve sensors and detectors"

New from #OPG_OpticaQ, Chip-based phonon splitter brings hybrid quantum networks closer to reality: https://bit.ly/3KFOZUB This coupler acts like a junction in a quantum ‘postal route to split, route or recombine single quantum vibrations so that an excitation created in one processor can be sent reliably to another processor on the same chip or to multiple recipients. The device could enable microscopic on-chip routers and splitters that link different types of quantum technologies. Delft University of Technology #Quantum #QuantumNetworks #ScienceAndTechnology

A quantum computer made out of helium? A new study published in Physical Review X shows how it might someday be possible. Using a quantum dot with microscopic reservoirs full of liquid helium and a trap to control the flow of single electrons, researchers show how they can detect and measure the movement of individual electrons on the surface of liquid helium. Their device also works at temperatures above one Kelvin — conditions that are suitable for large-scale quantum processors. Read the article here: https://go.aps.org/3IPsk7I

Physicists at Washington University in St. Louis created a “time quasicrystal” inside a millimeter-sized diamond, bending the rules of motion and time. This stable, energy-efficient phase of matter could transform quantum computing and ultra-precise time measurement.

I completely agree with the conclusion: "What's needed are new algorithms". This is by no means a trivial matter. Factorization is often seen as the poster child of quantum computing, thanks to Shor's algorithm, but there is much more potential to explore. This is why I encourage students to invest more in mathematical skills. I believe there are great benefits to quantum computing that can be unlocked by applying the appropriate algorithms that leverage quantum phenomena like superposition and entanglement. This is actually the same principle behind Shor's own factorization algorithm: transform an existing problem into a different one (period finding) and design a quantum algorithm that "excels" at it .

Quantum today= bigger chips or smarter algorithms. what's missing= the glue. A unifying framework that orchestrates hybrid computation, decides when to use what, audits results, and keeps it all coherent across noisy subsystems. like the internet before TCP/IP, the breakthrough isn't speed or smarter algorithms alone, its the connection. -Ps, We will also need hardware capable of computing based on non abelian algebra if we want fault tolerant, truly scalable quantum computation. and not the one that uses superconductors since they need cryogenic systems.

Entanglement, Decoherence, and the Information Bottleneck At its core, quantum computation is the manipulation of entanglement to achieve parallelism beyond classical limits. However, decoherence acts as the main bottleneck, collapsing quantum states before computation completes. Solutions being explored include: 1. Topological qubits for error resilience 2. Dynamical decoupling for coherence preservation 3. Surface codes for scalable quantum error correction Achieving fault-tolerant quantum computation will define the next leap in computing power. #Anantwave #QuantumInformation #QuantumErrorCorrection #TopologicalQubits #SurfaceCode #QuantumPhysics #QuantumEngineering

The motional modes of long ion crystals can be harnessed to generate programmable, simultaneous multi-qubit gates. At first glance, you’d expect this to require complicated, ion-by-ion control. But Yakov Solomons, Yotam Kadish, Lee Peleg and Yoni Nemirovsky from Quantum Art show that global or semi-global control is enough - without sacrificing programmability. Read the full paper here: https://lnkd.in/d2xFYUGk.

🌌 A Step Forward Toward the Quantum Future 🌌 I am excited to share my latest work: “Extending Quantum Coherence via PT-Floquet Control” In this study, we explore how advanced physical principles — PT symmetry and Floquet engineering — can be applied to significantly extend qubit coherence, the essential resource of quantum computing. 🔹 Why it’s innovative: Transforms theoretical concepts (PT symmetry, periodic dynamics) into a practical tool for stabilizing qubits. Provides a reproducible model with Julia simulations, accessible to the community. Offers an alternative path to traditional error correction, with potential applications in quantum error mitigation. Proposes a realistic experimental framework implementable on current platforms such as superconducting qubits or trapped ions. 📌 The key: turning what is normally a problem — coherence loss — into a controllable advantage, potentially accelerating the development of more reliable and scalable quantum processors. 📄 The full work is available on Zenodo: 🔗 https://lnkd.in/d6HcmYTa I strongly believe this approach will spark new discussions in both the scientific community and the quantum tech industry, offering a fresh perspective on overcoming the major challenge of coherence. #QuantumComputing #Innovation #QuantumTechnology #Zenodo #PTSymmetry #FloquetEngineering

⚛️ Bell state measurements in quantum optics: a review of recent progress and open challenges 📑 Bell state measurements, which project bipartite qubit systems onto the maximally entangled Bell basis, are central to a wide range of quantum information processing tasks, including quantum teleportation, entanglement swapping, and fusion-gate quantum computation. In photonic quantum platforms, where information is encoded in optical degrees of freedom, the realization of efficient Bell state measurements is particularly challenging, especially when constrained to linear optical elements. In this review, we provide a comprehensive examination of existing proposals for implementing Bell state measurements, highlighting their fundamental limitations and the strategies developed to overcome them. Additionally, we survey recent advances in Bell state measurements for high-dimensional systems, an area of growing interest due to its relevance in scalable quantum networks and high-capacity quantum communication. ℹ️ Bianchi et al - 2025

𝗡𝗲𝘅𝘁 𝗶𝗻 𝗼𝘂𝗿 𝗾𝘂𝗮𝗻𝘁𝘂𝗺 𝘀𝗲𝗿𝗶𝗲𝘀 - 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗾𝘂𝗮𝗻𝘁𝘂𝗺 𝗲𝗻𝘁𝗮𝗻𝗴𝗹𝗲𝗺𝗲𝗻𝘁: [10] Entanglement means qubits no longer have individual descriptions, their states become inseparable (see picture 2). Measure one, and you immediately gain information about the other, no matter how far apart they are. For example, we can prepare two ions in an entangled state such that if we measure the first qubit in state “1” then the second qubits will be in “0” and vice versa (see pictures 3 and 4). Each qubit alone still looks random, but taken together their outcomes reveal correlations that cannot be explained by any classical mechanism.     In QUDORA’s trapped-ion systems, entanglement is created by coupling qubits through their shared motional modes utilizing a two-qubit gate operation. These multi-qubit gates weave the qubits internal states into a single joint state, enabling correlations that power quantum algorithms, error correction, and secure communication. It is the resource that makes quantum computation fundamentally different from anything classical.     But entanglement is only as powerful as the quality of the gates that generate it. In practice, tiny imperfections in control fields reduce how closely the real effect of a gate matches its ideal one. This discrepancy is captured by the notion of fidelity. In the next post, we’ll explore why high fidelities are crucial, how they are achieved in trapped-ion systems, and why they currently set the benchmark for the field.    #trappedions #quantumcomputing #NFQC