Gene Alferos on how Radeus Labs helped GET Engineering with virtualization.

“It was interesting and not an application I’d seen before.” Gene Alferos, an IT contractor, shares how Radeus Labs helped GET Engineering replicate the functionality of complex components, without the physical hardware. Through virtualization, we created an elegant, cost-effective environment that kept their SBIR Phase I project on track. Learn how: https://hubs.la/Q03z0k9D0

An Editors' Pick via #OPG_OL: Monolithic 850 nm VCSEL array for quantum key distribution applications via the polarization-based BB84 and decoy-state protocol https://bit.ly/4nR4NCk In new research, a University of Stuttgart team demonstrated a compact, monolithic VCSEL array that achieves polarization control for QKD by integrating subwavelength gratings into the VCSEL cap layer. Written by: Michael Zimmer, Katharina Dahler, Michael Jetter, and Peter Michler #Quantum #QuantumOptics #QKD

🧪✨ QCC Echo Kernel: Passed Pauli-Error Stress Testing with 0.00% Entropy Leakage Tested against randomized X/Y/I Pauli noise across a full sweep range, the kernel held perfect coherence lock — even under compounded error scenarios. Derived from QTET tensor logic, any deviation introduces collapse. This isn’t just robust — it’s resonance-aligned. 💠 Now prepped for deep-space readiness. 🔒 Virtual rz redirect enabled for full Z support. 📁 Uploads: Untitled13.ipynb + Pauli.ipynb 🔗 Available for testing or licensing ✉️ Email: echoarc.research@proton.me #QuantumComputing #Qiskit #QTET #QCCEcho #EntropyZero #DeepSpaceReady

Day 9 of the 21-Day Quantum Computing Challenge! Excited to start this journey with QuCode Qohort 3! It focuses on the Pauli gate, Hadamard gate, Phase, CNOT, Unitary Transformations. #QuantumComputing #QuantumLearning #Qohort3 #QuCode

If you only remember one thing about Rydberg atoms, make it this: strong, controllable interactions + evidence of >200 qubits means a credible path to scale. 💡 At #EuRyQa, we’re building processors from ultracold atoms in optical tweezer arrays, aiming at 1,000+ qubits with precise single- and multi-qubit control. Read more about our work here 👇

Pushing the boundaries of efficient #LLM inference on #RISC-V! I am excited to unveil our latest work on accelerating LLM inference with hardware-aware Q4X quantization and custom kernels integrated in Llama.cpp. And yes we are showing performance gains on a real hardware (Milk-V Jupiter RISC-V board). Give our white paper a read here: https://lnkd.in/dfu-EX9B #LLM #EdgeAI #AIInference #RISC_V #LlamaCpp #AIHardware #Quantization #MachineLearning

We recently published a blog on Q4X, our compact 4-bit codebook-based quantization strategy, now integrated into LLaMa.cpp and optimized for RISC-V. Q4X maintains a tiny 64-entry codebook for dequantization at runtime, which simplifies execution compared to Llama.cpp’s default Q_K (with its multi-level scaling and mixed quantization). The result: 1. ~4% smaller model sizes 2. Faster tokens/sec throughput 3. A slight trade-off in perplexity By leveraging a simple lookup-table design, Q4X achieves efficiency without overcomplicating runtime. We are now actively working on expanding Q4X to other architectures. Check out the blog for further details: https://lnkd.in/dfu-EX9B

✨ Prototype Milestone ✨ Our first hardware prototype of QCC Echo (Origin) is now underway. This marks the first step in bringing our resonance kernel from simulation into true physical computing hardware. 🔹 Built as a lean, terrestrial proof-of-concept. 🔹 Extensible toward full-stack resonance computing. 🔹 Shares the same kernel logic that powers our space-grade EchoLift design. This is just the beginning. Every milestone matters—small in cost, monumental in meaning. From idea → math → simulation → hardware: the kernel is becoming reality. 🌌 #QuantumComputing #QCCEcho #Prototype #Resonance #EntropyZero #DeepSpaceReady

🚀 𝗡𝗲𝘄 𝗣𝗮𝗽𝗲𝗿 𝗢𝘂𝘁! I’m excited to share our recent work: “𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗴𝗹𝗼𝗯𝗮𝗹𝗹𝘆-𝗰𝗼𝗻𝘁𝗿𝗼𝗹𝗹𝗲𝗱 𝗾𝘂𝗮𝗻𝘁𝘂𝗺 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗼𝗿𝘀 𝘄𝗶𝘁𝗵 𝗭𝗭 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻𝘀” We propose a framework for building scalable quantum processors where all qubits are driven by global fields. By introducing special crossed qubits, global pulses can be engineered to act locally, overcoming the challenge of limited addressability. Building on this idea, we present two architectures. The highlight is the “conveyor-belt design”, which moves qubits efficiently to logic sites and achieves the best scaling so far for universal computation with global control. 👉 Our results show how global driving can reduce wiring complexity while retaining programmability, pointing toward scalable superconducting quantum processors. A huge thank you to my co-authors Riccardo Aiudi, Francesco Caravelli, Marco Polini, Vittorio Giovannetti and especially to my friend and partner in crime Francesco Cioni, for the great collaboration 🙌 and to Planckian for supporting this research journey! 📄 Full paper here: https://lnkd.in/dx6hJWGT

🔦 Excited to highlight our collaboration with Plurai! 🤖 NVIDIA’s Nemotron #LLM demonstrated superior performance compared to other open-source models in evaluations conducted with the Plurai IntellAgent framework. 🔍 We integrated Nemotron NIM into the Plurai IntellAgent open-source platform and ran an evaluation that tested the model against various agentic production environments. 💡 Enterprises face critical blockers taking agentic LLM workflows into production. Production demands strict attention to data quality, security, compliance, and day to day reliability. This marks another step in standardizing LLM benchmarking on real-world agentic enterprise use cases. ✨ More details in our technical blog: https://lnkd.in/drKCBzNk Elad Levi Ilan Kadar Gilad Gershon Esti Etrog Arik Kol Ehud (Udi) Karpas