Capella Space: Next-Gen In-Space Processing and FPGA Demand

While quantum algorithms and qubit stability rightfully capture significant attention, the sophisticated classical control infrastructure underpinning quantum computers presents an equally formidable engineering challenge for hardcore developers. Achieving reliable quantum operations necessitates classical control systems capable of nanosecond-level synchronization and ultra-low latency signal delivery. These bespoke systems, often built on high-speed FPGAs and custom electronics, are responsible for precise qubit manipulation—a timing deviation of even a few nanoseconds can critically compromise quantum coherence. This demands deep expertise in real-time systems, signal processing, and high-performance embedded development. Understanding and mastering this complex classical-quantum interface is paramount for advancing scalable quantum architectures. What are your perspectives on the integration challenges between classical and quantum layers? #QuantumComputing #HardwareDevelopment #RealTimeSystems #DeepTech #QuantumEngineering #FPGA

Quantum computing is moving fast from theory to real engineering. Superconducting qubits bring together quantum physics, RF, microwave design, materials, and EDA tools — a truly interdisciplinary challenge. • Technical webinar on Superconducting Qubits • From quantum theory to practical chip-level engineering • Intersection of RF, microwave, mixed-signal, and EDA tools • Knowledge-driven collaboration by Infinipoint Technologies with Keysight #Infinipoint #Keysight #QuantumComputing #SuperconductingQubits #QuantumHardware #QuantumEngineering #RFEngineering #MicrowaveEngineering #MixedSignal #AnalogDesign #EDA #Semiconductor #ChipDesign #VLSI #DeepTech #NextGenTech #EngineeringCommunity

If your research focuses on the future of scalable quantum computing, this feature article from our archive is an essential reference. Cryogenic CMOS Design for Qubit Control: Present Status, Challenges, and Future Directions provides a comprehensive review of how ultra-low-power CMOS controllers are being designed to operate inside cryogenic quantum systems — a critical requirement for next-generation quantum hardware. You should cite this paper when your work involves: • cryogenic CMOS circuit and system design • quantum control electronics • scalable qubit architectures • ultra-low-power RF waveform generation • hardware platforms for transmon or spin qubits The article benchmarks current state-of-the-art cryogenic controllers (40 nm to 14 nm), compares power efficiency and performance tradeoffs, and outlines the fundamental challenges shaping future quantum computing platforms. A valuable reference for literature reviews, system architecture studies, and hardware benchmarking in quantum computing research. 📄 Read the full feature: https://loom.ly/fpc0XJk #QuantumComputing #CryoCMOS #QubitControl #QuantumHardware #CircuitsAndSystems #IEEE #ResearchReferences

Non-volatile Photonic Gate Array Achieves Nanosecond Switching with 116 Actuators Researchers have created the first optical field-programmable gate array using a silicon-barium titanate platform with non-volatile memory, enabling energy-efficient optical circuits that can be programmed and retain information without ongoing power consumption and achieving switching speeds of 80 nanoseconds. #quantum #quantumcomputing #technology https://lnkd.in/epE9bVkm

Today, NanoXplore SAS announced the qualification of NG-ULTRA, the world’s first Radiation Hardened By Design (RHBD) System-on-Chip FPGA – a major achievement for European space technology 🚀 NG-ULTRA is the first device qualified under the new European ESCC 9030 standard. Developed in partnership with STMicroelectronics, it is designed for future space and harsh environment missions. The European Space Agency - ESA has supported NanoXplore since 2014 through TDE, GSTP and ARTES programmes, alongside Centre National d'��tudes Spatiales and the European Commission. This long-term collaboration has laid the foundation for a new generation of high performance, radiation hardened European FPGAs, and ultimately leading to NG-ULTRA. 🛰️ NG-ULTRA strengthens European sovereignty and strategic autonomy by enabling higher onboard processing, lower power consumption and greater autonomy directly in orbit. The product leverages a fully European supply chain, covering design, manufacturing and testing, made possible through strong industry collaboration. 𝗥𝗲𝗮𝗱 𝗺𝗼𝗿𝗲: https://lnkd.in/d3BS7NfZ

When experimental setups grow more complex, structured engineering introduces rigour. 💡 Across advanced research and sensing platforms, teams face a familiar challenge: moving from promising experiments to reliable, modular control stacks that work consistently day after day. To address this, we are hosting a LIVE WEBINAR | #FromLabtoFab on February 4, where we will share real examples of integration engineering and full-stack engineering, from system architecture and firmware; #FPGA to RF; microwave and DAQ; based on experimental systems developed at Silicon Austria Labs (SAL) and Jozef Stefan Institute. The session will show how milestone-driven delivery, sub-nanosecond timing and synchronisation, and RFSoC integration helped de-risk experimental roadmaps and improve day-to-day reliability. 🧷 Learn more HERE: https://hubs.ly/Q03-zJbn0 #DeepTech #SystemsEngineering #IntegrationEngineering

FPGA developers — don’t sleep on this. The next revolutionary tech usually lives in the shadows before it shakes the world. Lately, I’ve been getting DMs about FPGA roles in quantum computing. Even tho I don’t know Jack about quantum computing That got me curious: why FPGAs? Because quantum systems are controlled by extremely precise electrical and optical pulses. Think: • Arbitrary Waveform Generators (AWGs) • GHz-range microwave sources • Phase-locked clocks • Pulse sequencers with ns → ps resolution If that sounds familiar… it should. This is classic FPGA + RF + timing-critical design territory. Quantum may feel “far away,” but the skillset isn’t. Pay close attention

The most iconic image in Quantum Computing is the "Golden Chandelier." ✨ It looks beautiful. But to a systems engineer, it looks like a dead end. That chandelier is essentially a massive bundle of coaxial cables carrying analog signals from Room Temperature (300K) down to the Quantum Processor (10mK). This works for 100 qubits. It fails catastrophically for 10,000. 🛑 Why? Thermodynamics. Every cable conducts heat. Trying to route 20,000 cables into a dilution refrigerator exceeds the cooling power (microwatts) of the mixing chamber. You literally turn the fridge into a heater. The solution is one of the hardest engineering challenges in history: Cryo-CMOS. ❄️ We must move the classical control electronics (FPGAs, DACs) inside the fridge. We are redesigning silicon chips to operate at 4 Kelvin (-269°C). * The Constraint: Standard transistor models break down. * The Budget: You have ~100 milliwatts of power budget before you boil the liquid helium. The future of quantum scaling isn't just about better qubits. It's about building classical CPUs that don't freeze to death. #QuantumComputing #CryoCMOS #SystemsEngineering #DeepTech #Semiconductors #HardwareArchitecture

Quantum State Preparation Achieves 97% CNOT Reduction for 14 Qubit Systems Researchers have developed a new quantum circuit design technique, Co-ADAPT, which reduces the number of complex operations needed to prepare quantum states by up to 97% on existing hardware, even outperforming previous methods despite using limited qubit connections. #quantum #quantumcomputing #technology https://lnkd.in/eMYrfvm2

Just completed Phase 6 of the ATOM-iK project and recorded a local-host demo showing the system in action. In this phase, ATOM-iK demonstrates linear spatial scaling on real hardware, achieving ~1 GOPS on a single $15 Tang Nano 9K FPGA using parallel accumulator banks. The key result isn’t just raw throughput, it’s how that throughput is achieved: • Stateless, delta-driven execution • Lock-free parallel accumulation • No scheduling, synchronization, or memory-coherency overhead • Scaling by widening the fabric, not by increasing clock frequency The demo shows: • A live local-host UI • Hardware attachment detection • Logical execution partitions on a single FPGA • Deterministic validation via capability tests • Exported, hash-anchored run reports for auditability At this point, the performance bottleneck is no longer algorithmic, it’s physical routing and interconnect, which is exactly where a scalable execution architecture should land. This phase benchmarks ATOM-iK well beyond traditional SCORE-style optimizations and into physics-limited execution territory, even on extremely constrained hardware. More to come as we move toward hierarchical scaling, higher-end FPGAs, and ASIC exploration. #FPGA #ComputerArchitecture #HardwareAcceleration #DeterministicComputing #ParallelComputing #ASIC #SystemsEngineering #DeepTech #ATOMiK