➀ IBM researchers successfully implemented a quantum error-correction algorithm on AMD FPGAs, achieving real-time processing 10 times faster than required;

➁ This breakthrough accelerates IBM's Starling quantum computer project, potentially shifting its 2029 schedule forward;

➂ The Relay-BP algorithm demonstrates superior flexibility and accuracy in handling quantum computational errors, addressing a key barrier to practical quantum computing.

➀ The U.S. government is negotiating equity-for-funding deals with quantum computing companies like Atom Computing and IonQ, leveraging the CHIPS Act to strengthen domestic tech leadership;

➁ Companies seek at least $10 million each via the Commerce Department's Chips R&D Office, with funds redirected from Biden-era programs under Secretary Howard Lutnick;

➂ This initiative mirrors earlier stakes in Intel (9.9%) and MP Materials, aiming to boost national competitiveness in quantum tech while securing future financial returns for taxpayers.

➀ Google's Willow 105-qubit quantum chip ran the Quantum Echo algorithm 13,000x faster than supercomputers, marking the first verifiable real-world quantum computing application;

➁ The algorithm models Nuclear Magnetic Resonance (NMR) to analyze atomic magnetic spins, delivering deterministic results validated against classical methods and physical reality;

➂ This breakthrough paves the way for quantum modeling of natural phenomena, with Google advancing to develop stable logical qubits in its next roadmap milestone.

➀ AI dominates the top-funded startups, with OpenAI leading at $40B (valuation $300B) followed by Scale AI and Anthropic, all focused on AI infrastructure and safety;

➁ Key sectors include quantum computing (PsiQuantum, Quantinuum), defense AI (Anduril, Saronic), and energy tech (Commonwealth Fusion, Helion Energy), with NVIDIA as a prominent investor in multiple companies;

➂ Notable trends include massive seed rounds (Thinking Machines Lab), healthcare AI (Abridge, Ambience), and global participation from investors like Microsoft, Google, and Amazon.

➀ Quantum Motion has introduced an industry-first quantum computer, manufactured entirely with a standard silicon CMOS chip fabrication process;

➁ The process, also used for conventional PC hardware, aims to result in a mass-manufacturable supercomputer;

➂ The Quantum Motion supercomputer is capable of managing qubits with a built-in QPU and is installed at the UK National Quantum Computing Centre.

➀ Quantum Motion unveils the world's first full-stack quantum computer built using standard CMOS silicon technology, aiming to integrate into existing server infrastructure.

➁ The system, housed in three 19-inch server racks, leverages silicon spin-qubit processors and supports mainstream quantum software frameworks like Qiskit.

➂ Despite claims of scalability, performance metrics remain undisclosed, pending validation by the UK's National Quantum Computing Centre.

➀ Fraunhofer IZM and Akhetonics collaborate on developing a scalable all-optical quantum processor using light-based data processing, which promises 60x energy savings and higher bandwidth compared to electronic systems;

➁ The project employs advanced packaging technologies like glass-based interposers and photonic wire bonding, enhancing component integration efficiency by 50% and targeting miniaturization;

➂ Funded by Investitionsbank Berlin with €400,000, the SPOC initiative (2024-2026) aims to create a fully optical quantum computing platform through hybrid integration of optical materials.

➀ Researchers at the University of Illinois Urbana-Champaign developed a modular quantum architecture that connects components like Lego bricks using coaxial cables;

➁ The system achieved 99% fidelity in SWAP gates, enabling scalable quantum computing with minimal signal loss;

➂ Modular design offers flexibility for upgrades, fault isolation, and reconfiguration without rebuilding entire processors.

➀ The ZKI Autumn Conference 2025 at the Leibniz Supercomputing Centre (LRZ) explores the future of data processing, focusing on quantum computing, AI hardware, and photonic computing paradigms;

➀ IBM's Dr. Heike Riel highlights efforts to advance quantum technologies, AI physics, and novel computing frameworks;

➀ The LRZ pioneers energy-efficient photonic AI computing using Q.ANT's analog photonic server, positioning Germany as a leader in post-CMOS technologies.

➀ Engineers at the University of Pennsylvania have successfully transmitted quantum data over commercial fiber-optic networks using the same Internet Protocol (IP) as today's internet;

➁ The key to this success is a 'Q-chip' that coordinates quantum and classical data streams;

➂ The experiment marks a significant milestone in the quest for a functional 'quantum internet' and could change how we process and transmit information.

➀ Empa researchers successfully attached porphyrin molecules with metal centers to graphene nanoribbons with atomic precision, creating a hybrid system;

➁ The system exhibits magnetic and electronic coupling, enabling applications in molecular electronics, chemical sensors, and quantum technologies;

➂ The design allows optical and chemical tunability, with potential uses in light-emitting systems and quantum computing spin-based devices.

➀ Fujitsu aims to develop a 10,000-physical-qubit superconducting quantum computer by 2030, targeting fault tolerance and 250 logical qubits;

➁ The initiative focuses on real-world applications in materials science and integrates quantum computing with high-performance computing (HPC) platforms;

➂ Key challenges include maintaining qubit fidelity, quantum error correction, and thermal management during system scaling.

➀ IonQ acquires Oxford Ionics for $1.08 billion to advance quantum computing, aiming to develop 256-qubit systems by 2025 and 2 million qubits by 2030;

➁ The deal combines Oxford Ionics' ion-trap chip technology with IonQ's quantum stack, targeting fault-tolerant systems for enterprise applications;

➂ Both companies will expand UK operations and maintain partnerships with governments, focusing on fields like defense and pharmaceuticals.

➀ Researchers demonstrated that even small-scale quantum computers can enhance machine learning algorithms through a photonic quantum processor experiment;

➁ The study, involving the University of Vienna and international collaborators, showed quantum-enhanced kernel-based machine learning outperforming classical counterparts in specific tasks with fewer errors;

➂ Photonic quantum platforms also exhibited potential energy efficiency advantages, addressing rising energy demands in traditional machine learning workflows.

➀ Fraunhofer IAF has deployed Quantum Brilliance’s QB-QDK2.0 quantum accelerator, the first in Europe based on nitrogen-vacancy (NV) centers in diamond, enabling hybrid quantum-classical computing without cryogenics;

➁ The compact system integrates quantum processors with classical co-processors (NVIDIA GPUs/CPUs) in a server rack, supporting real-world quantum applications like machine learning;

➂ Quantum Brilliance’s diamond-based technology offers long coherence times and environmental stability, positioning it as a key platform for industrial quantum advancements at room temperature.

➀ Fraunhofer IOF researchers advanced thin-film lithium niobate (LNOI) technology to develop photonic integrated circuits (PICs), enabling energy-efficient, high-speed optical systems for quantum computing and AI;

➁ The PhoQuant project aims to build a photonic quantum computer using LNOI-based optical components, eliminating the need for complex cooling and enabling scalable quantum internet applications;

➂ LNOI circuits achieve 100 GHz processing speeds with low-voltage control, offering high bandwidth and multi-wavelength signal processing for AI tasks, showcased at World of Quantum 2025.

➀ Fraunhofer IOF researchers developed thin-film lithium niobate (LNOI) technology to create integrated photonic circuits, enabling energy-efficient and scalable photonic systems for high-speed applications;

➁ The LNOI-based technology is applied in the PhoQuant project to build photonic quantum computers requiring no cryogenic cooling, using quantum light sources and processing in integrated circuits;

➂ The circuits also enhance AI and data processing capabilities, operating at 100 GHz speeds with low voltage, offering higher bandwidth and energy efficiency compared to conventional electronics.