Daily brief
July 13, 2026.
70 quantum research items collected on 2026-07-13; hardware, control, and industry signals routed.
Quantum
70 quantum research items collected on 2026-07-13; hardware, control, and industry signals routed.Hardware and Error Correction
A Quantum Path to Partial Differential Equations
Partial differential equations are a promising application area for fault-tolerant quantum algorithms, but the subject lies between two communities with different languages: numerical analysis and quantum computation. These lecture notes provide a numerically grounded introduction for readers entering from either field. Block encoding is the organizing principle: once a disc...
Lean-QIT: Towards a Formal Infrastructure for Quantum Information Theory
Quantum information theory (QIT) characterizes the capabilities and fundamental limits of quantum information processing, underpinning quantum communication, computation, and error correction. Formalizing its coding theorems requires connecting finite-block protocols, analytic inequalities, and asymptotic limits within a unified machine-checked framework. Existing developmen...
Majorana parity qubit in coupled minimal Kitaev chains
Majorana zero modes provide a route to fault-tolerant qubits by encoding information non-locally in fermion parity. Their sensitivity to noise is expected to decrease exponentially with increasing separation between the Majoranas, a suppression known as topological protection. Kitaev chains engineered in quantum dot-superconductor arrays provide a tunable platform in which s...
Superconducting singlet-triplet qubits
Hybrid devices integrating quantum dots with Josephson junctions are gaining interest because they combine spin-based quantum computing with circuit quantum electrodynamics (circuit QED) methods. In particular, Andreev spin qubits have shown significant experimental progress including strong two-qubit coupling, and are predicted to exhibit all-to-all connectivity. Here we pr...
Speckle-based feedback control of optical dipole trap axial waist position
Cold neutral atoms is a powerful tool for many experiments ranging from frequency standards and sensing to quantum simulations. Sensitive experiments often demand transferring cold atoms from one vacuum chamber to the other with better optical access and vacuum. In case the transfer is done with a beam waist controlled by a focus-tunable lens, repeatability of the transfer a...
Photonic graph states are key resource states for measurement based quantum information processing. As semiconductor quantum dots are excellent deterministic photon emitters, several protocols using them for the generation of linear cluster states have been proposed, either based on constant precession of a hole or electron spin in a weak magnetic field, or based on optical...
We present a quantum mechanical model of dual parallel Mach Zehnder electro-optic modulators (DPMZMs), derived using the quantum scattering formalism [1,2]. We obtain the complete, unrestricted transformation of single-photon and coherent input states through the DPMZM architecture, including independent radiofrequency drive conditions on each internal modulator, and recover...
Shadow-Based Noise Fingerprinting of Simulated Quantum Noise Models
Accurate noise classification is essential for operating near-term quantum processors, yet existing approaches, such as quantum process tomography, scale exponentially with system size, limiting their practicality for routine calibration. We propose a scalable noise fingerprinting pipeline that combines structured classical shadow tomography with physics-informed feature eng...
Control and Quantum-AI Integration
We propose a novel formulation of master equations for open systems wherein the evolution of a state is determined solely by its local behaviour at any point of time. Specifically, our formulation allows for a local interpretation of the workings of beyond-Markovian dynamics as opposed to the more common conception that non-Markovian state evolution is affected by its cumula...
Generalized Nonlinear Imaginary-Time Evolution
Imaginary-time evolution (ITE) is a powerful method for ground-state preparation of a given Hamiltonian. The normalized ITE can be viewed as a gradient flow of the energy expectation value with respect to the Fubini--Study metric. In this work, we propose a generalized nonlinear imaginary-time evolution (NITE) for more general quantum state-preparation tasks. We further pres...
A Semiclassical Gaussian Wavepacket Method for Non-Adiabatic Molecular Dynamics
We introduce two non-adiabatic semiclassical methods that employ two coupled Gaussian wavepackets, each one traveling on a separate diabatic potential energy surface. The wavepackets take the form of thawed Gaussians and are driven by classical equations of motion which account for the diabatic coupling. The classical equations of motion are derived in one case by enforcing...
Qubit-Boson Hybrid Beam-Splitter Gate with Kerr Nonlinearity in Circuit QED for Many-Body Dynamics
We introduce a hybrid qubit-boson beam-splitter gate in which a microwave cavity mode couples to an exchange-dressed two-level subsystem of an interacting two-qubit system in the presence of Kerr nonlinearity. Starting from a general circuit quantum electrodynamics (cQED) model, we derive the corresponding hybrid qubit-cavity interaction, develop its open-system description...
A combinatorial framework for clustering graph states: Algorithms and hardness for rank-integrity
We introduce a new notion of distance between two graph states $|G\rangle$ and $|G'\rangle$ on the same set of qubits. This distance is the minimum number of ancilla qubits in a graph state $|\widehat{G}\rangle$ from which both $|G\rangle$ and $|G'\rangle$ can be ``easily prepared''. (When preparing graph states, we are only allowed to use one-qubit Clifford gates, one-qubit...
Diagnosing quantum reservoirs at scale based on expressivity and coverage
Quantum reservoirs offer a hardware-friendly route to quantum machine learning, replacing trainable circuits with fixed random dynamics and a classical readout. Because the reservoir is not optimized, performance depends entirely on the choice of reservoir family, yet existing diagnostics demand resources that grow exponentially with system size. We introduce a scalable, har...
Operational Shadows of Hilbert-Space Probabilities
At one frozen setting, the probabilities observed in a sharp quantum context are indistinguishable, as detector-click statistics, from ordinary probabilities on the atoms of a classical partition. But an actual analyzer usually comes with a calibrated knob: a tangible handle on the apparatus. If the measurement configuration is co-varied continuously through this physical pa...
The Quantum Approximate Optimization Algorithm (QAOA) is a promising framework for combinatorial optimization, but constrained problems are commonly handled using energetic penalty terms that require calibration and allow infeasible configurations to remain dynamically accessible. We develop a constraint-preserving QAOA framework for personnel rostering in which hard schedul...
Commercial and Industry Context
Hybrid Quantum and Classical Workload Management with Graph-based Scheduling
High Performance Computing (HPC) centers are expanding to encompass resources that extend beyond traditional computing. By extending resources to quantum computing, hybrid quantum-classical workflows tackle complex optimization problems that have never before been possible. However, integrating quantum processing units (QPUs) into cloud-native and scientific workload manager...
<p>Researchers from the MIT-IBM Computing Research Lab and IBM Quantum have developed a multimodal alignment framework that maps quantum unitary operators directly into the latent space of a large language model (LLM). Published as an IEEE QCE 2026 conference paper ("Aligning Quantum Operators with Large Language Models"), the architecture treats mathematical quantum operati...
EeroQ Validates CMOS-Controlled Electron Shuttling on Superfluid Helium for All-to-All Qubit Routing
<p>Schematic rendering of EeroQ’s Wonder Lake chip stack. Quantum hardware developer EeroQ has published peer-reviewed experimental results demonstrating the selective, two-dimensional transport of electrons on superfluid helium using a commercial silicon control architecture. Published in Physical Review Applied ("Selective shuttling of electrons on helium using a CMOS cont...
<p>Zero-knowledge data security provider NordLocker has launched a structural overhaul of its primary private storage architecture, transitioning from a rigid, locker-centric file system to a decentralized, append-only journaling engine. Codenamed "Project Renaissance," the platform rebuild replaces the company's legacy monolithic file trees with an atomic metadata logging m...
<p>Post-quantum semiconductor developer SEALSQ Corp (NASDAQ: LAES) has signed a $5 million commercial agreement with French silicon-based quantum hardware pioneer Quobly. The contract signals the deployment phase of a technology partnership initiated in November 2025 following SEALSQ's direct equity investment in the firm. The contract tracks Quobly's massive €115 million Se...
JIC Venture Growth Investments And Toyota Invention Partners Join Yaqumo Seed Extension Round
<a href="https://thequantuminsider.com/2026/07/13/jic-venture-growth-investments-and-toyota-invention-partners-join-yaqumo-seed-extension-round/" rel="nofollow" title="JIC Venture Growth Investments And Toyota Invention Partners Join Yaqumo Seed Extension Round"><img alt="Yaqumo" class="webfeedsFeaturedVisual wp-post-image" height="1080" src="https://thequantuminsider.com/wp...
NordLocker Prepares Encrypted Cloud Storage for the Post-Quantum Era
<a href="https://thequantuminsider.com/2026/07/10/nordlocker-rebuilds-its-encrypted-cloud-storage-from-the-ground-up/" rel="nofollow" title="NordLocker Prepares Encrypted Cloud Storage for the Post-Quantum Era"><img alt="NordLocker logo - TQI" class="webfeedsFeaturedVisual wp-post-image" height="730" src="https://thequantuminsider.com/wp-content/uploads/2026/07/2026-07-10_19...
SEALSQ and Quobly Sign $5 Million Agreement to Secure Silicon Quantum Computers
<a href="https://thequantuminsider.com/2026/07/10/sealsq-quobly-5-million-quantum-security-agreement/" rel="nofollow" title="SEALSQ and Quobly Sign $5 Million Agreement to Secure Silicon Quantum Computers"><img alt="SEALSQ logo - TQI" class="webfeedsFeaturedVisual wp-post-image" height="727" src="https://thequantuminsider.com/wp-content/uploads/2026/07/2026-07-10_17-57.png"...
Unrouted Items
Phase-switchable nonreciprocal entanglement via magnon squeezing in ring-cavity optomagnomechanics
Cavity optomagnomechanics provides a versatile platform to explore macroscopic quantum correlations, particularly nonreciprocal entanglement. In this work, we propose a theoretical scheme to generate switchable bipartite and tripartite entanglement in an optomagnomechanical ring cavity by exploiting phase-controlled magnon squeezing. Indeed, two spatially separated ferrimagn...
Nonlinear particle detectors across the Rindler firewall
We investigate Unruh-DeWitt detectors coupled to composite observables of a quantum scalar field, including quadratic coupling to the field momentum and coupling to the local energy density. We develop a distributional framework for evaluating the corresponding detector response functions and apply it to detectors crossing the Rindler firewall. While we recover the finite re...
Silicon-Germanium Heterostructures with Enhanced Valley Splitting for Spin Qubits
Achieving valley splittings well in excess of the thermal energy of electrons and avoiding valley excitations is essential for the consistent initialization, operation and readout of gate-defined Si spin qubits. In this work, we present a device-level optimization strategy for pushing valley splittings to between 1 and 5 meV, well beyond values reported in nearly all previou...
Optimality of the free quantum evolution: the general case with nodes
Extending and refining a preceding work, the free evolution of a quantum wave function, with fixed initial and final modulus, is considered in the general case where nodes are allowed. The method is based on considering a suitable simple functional related to the quadratic optimal transport cost in discrete time. Under reasonable assumptions it is shown that, if nodes are pr...
Complete measurement of tunnel- and valley-coupling parameters in a silicon double quantum dot
Tunneling is essential in the initialization, measurement, and control of quantum dot qubits. In silicon, such tunneling connects not only the qubit states but also valley minima in the conduction band on opposite sides of the Brillouin zone, with large consequences for the quantum dot behavior. Here we present a full characterization of the intravalley and intervalley tunne...
A complete ultrametric on von Neumann's incomplete tensor products
We revisit von Neumann's theory of infinite tensor products of Hilbert spaces. On the set $Γ$ of equivalence classes of $C_0$-sequences, which labels the incomplete tensor products inside the complete tensor product, we introduce a natural pseudo-ultrametric $d$: the distance between two classes is the convergence exponent of the series $\sum_j|\langle\varphi_j,ψ_j\rangle-1|...
We expand on the ideas developed by C. Jarzynski in Physica A 552, 122077 (2020), where an integral fluctuation theorem was derived with the aim of obtaining thermodynamic inequalities stronger than those implied by the Jarzynski equality. Restricting ourselves to the quantum setting, we derive the corresponding detailed fluctuation theorem and additional detailed and integr...
Quantum Orchestras: a Concrete Semantics for Recursive Hybrid Programs
Many production quantum programming languages represent hybrid quantum computations by extending a classical base language with a quantum effect, where qubits are addressed by reference, and quantum operations are understood to mutate some external quantum state. However, the semantics of this view of quantum computation remains underdeveloped, especially when the language a...
GHz-rate all-fiber active polarization state analyzer for quantum protocols
Active selection of the measurement basis underpins quantum protocols including device-independent quantum key distribution, quantum teleportation with active feed-forward, and Bell tests. High-speed operation is crucial to minimize the latency between consecutive measurement choices, enabling faster protocol execution and higher achievable communication rates. Here, we demo...
Confinement drives valley splitting above 4K in buried silicon quantum wells
Controlling the energy scales of a quantum system is essential for defining robust qubits. In silicon spin qubits, the nearly degenerate conduction-band valleys create a leakage channel from the single-spin computational basis, posing a challenge to scaling and to shuttling-based architectures. Here, we measure the relevant energy scales of single-electron spin qubits in bur...
Processes with indefinite causal orders (ICOs), such as the quantum switch, are higher-order quantum processes that superpose the order in which quantum operations are performed. Such coherent control yields computational advantages but is not faithfully captured by existing quantum programming languages: either they are restricted to the unitary case, and thus cannot combin...
Playing Bayesian games better with separable quantum states than with any classical correlation
Bayesian games, also known as games of incomplete information, are a fruitful arena for exploring the impact of correlations on a set of independent agents (players) via the game equilibria to which they give rise. It was realised some time ago that quantum states shared between the players can lead to new and beneficial equilibria, compared to classical correlation. While u...
Orthogonal Quantum Krylov Diagonalisation
Quantum subspace-diagonalization methods, particularly Quantum Krylov Diagonalization (QKD), provide a promising route for computing low-energy spectra of quantum many-body Hamiltonians. However, existing quantum Krylov approaches rely on non-orthogonal Krylov bases, requiring overlap-matrix regularization that limits numerical stability and accuracy. In this work, we introd...
Quantum simulation is a leading application of quantum computing, but scaling to chemically relevant problems requires modular architectures composed of interconnected quantum processing units. In such systems, inter-core quantum communication becomes a major performance bottleneck. In this work, we present COSMA, a communication-aware compilation framework for fermionic sim...
When Routes Run Out: Adversarial Co-Learning and Explainable Robustness in Quantum Repeater Networks
We study an adversarial bandit problem for entanglement-based quantum-network routing over a modest graph corpus. Alice selects an end-to-end repeater route for an Ekert-91 protocol (E91) representing her move, while Eve selects an attack surface, either edge intercept--resend or repeater memory degradation. Payoffs are drawn from cached SeQUeNCe-simulated E91 transcripts, a...
Quantum Approximate Optimization via Noise-Directed Adaptive Warm-Starting
Progress towards a quantum advantage using known heuristic methods for combinatorial optimization is impeded by hardware noise and limited qubit count. Here, we propose a noise-aware adaptive approach to quantum approximate optimization, Noise-Directed Adaptive Warm-Starting (ND-AWS), that builds on recent concepts such as Warm-Start QAOA and Noise-Directed Adaptive Remappin...
Benchmarking Error Mitigation: Artefactual Improvements in Zero-Noise Extrapolation
Reliable benchmarking of Quantum Error Mitigation (QEM) requires distinguishing genuine improvements from artefacts of the post-processing arithmetic. In this paper, we expose a failure mode in Richardson Zero-Noise Extrapolation (ZNE), a widely used technique routinely (and often implicitly) relied upon in benchmarks and experiments. When noise amplification operates beyond...
PCPOP.jl: A Julia package for partially commutative polynomial optimization
Here we present PCPOP, a Julia package for polynomial optimization that supports non-commutative optimization, tracial polynomial optimization, trace polynomial optimization and state polynomial optimization. PCPOP fully supports exact arithmetic computations and incorporates convenient functionalities such as algebraic reductions based on Gröbner basis methods, automatized...
Observation of a Rydberg-atom time crystal with an ultralong lifetime
Continuous time crystals (CTCs) represent a nonequilibrium quantum phase that spontaneously breaks time-translation symmetry without periodic external driving, manifesting as persistent, long-lived oscillations under steady pumping. The lifetime is constrained by the instability of the limit cycle phase, balanced between nonlinear feedback and energy dissipation, which have...
Quantum stochastic thermodynamics of macroscopic systems: an algebraic approach
We build a framework for the thermodynamics of macroscopic quantum systems. In contrast with approaches requiring access to the full density matrix, our framework relies on a coarse-grained description, based on measurement statistics of a few observables. When these observables commute, the outcomes define classical macrostates whose entropy is quantified by observational e...
Quantum identity authentication (QIA) has emerged as a crucial technology for secure communication systems, particularly in the burgeoning era of quantum communications. This paper proposes a novel QIA protocol based on non-classical characteristics of squeezed light fields. By exploiting quantum noise reduction properties of quadrature squeezed coherent states, the protocol...
Measurement Speed Limits for Quantum State Purification
We derive three matched speed limits on the purification of a monitored system, valid in every finite dimension and for every strategy and efficiency. All three are set by one functional, the square root of the state's impurity, whose maximal decay rate is a state-independent constant. For a qubit this reduces to the square root of the determinant, whose protocol-independent...
Quantitative Wigner-Araki-Yanase Theorems for Unitary and Antiunitary Symmetries
Symmetry imposes fundamental constraints on quantum measurement and control. The Wigner-Araki-Yanase theorem and its quantitative extensions capture this restriction for continuous symmetries, in terms of fluctuations of conserved generators. Such generator-based bounds, however, do not provide quantitative limitations for discrete unitary symmetries or for antiunitary symme...
Entanglement entropy in two-particle Grover walks on graphs
We define a two-particle quantum walk of identical particles on a graph $G$ via the one-particle Grover walk on the Kronecker product $G \otimes G$, and call it the two-particle Grover walk. In systems of identical particles, quantum mechanics requires that quantum states have a certain invariance with respect to the exchange of particles. Focusing on the symmetry of the Kro...
Classically Realizable Incompatibility
Incompatibility constitutes a fundamental aspect of quantum mechanics. However, not every quantum observable non-classical property arises from incompatibility, nor can all quantum scenarios be fully captured by incompatibility alone. Within the framework of partial Boolean algebra (pBA), we research the structural properties of incompatibility scenarios. We introduce a unif...
Quantum Logic as the Logic of Contexts
Quantum logic is usually presented as a non-classical departure from ordinary reasoning forced on us by quantum mechanics, with classical logic kept as the secure starting point. We argue for the opposite order of explanation in a finite and fully computable setting. The free orthomodular lattice on two generators has ninety-six elements, the direct product of a six-element...
Benchmarking Large Language Models on Repairing Qiskit Programs using Bugs4Q
In quantum programs, Bugs4Q is a widely used benchmark containing real quantum defects. However, its evaluation assumes that benchmark labels remain valid and that generated fixes execute in the target environment. We evaluate two Bugs4Q versions containing 67 unique real Qiskit defects, adding executable tests where missing, and re-run all entries across six pinned Qiskit r...
Distillation-Enhanced Continuous-Variable Quantum Teleportation for Satellite Communication Networks
Quantum teleportation (QT) over satellite-based free-space optical (FSO) channels is a promising approach for long-distance quantum communication. However, its performance is significantly degraded by atmospheric loss and turbulence. In this paper, we investigate continuous-variable (CV) QT in a dual-downlink scenario, where a satellite distributes entangled states to two gr...
Quantum Companies Help Develop Hybrid AI for Immune-Targeting Peptides
<a href="https://thequantuminsider.com/2026/07/13/quantum-companies-help-develop-hybrid-ai-for-immune-targeting-peptides/" rel="nofollow" title="Quantum Companies Help Develop Hybrid AI for Immune-Targeting Peptides"><img alt="Peptide" class="webfeedsFeaturedVisual wp-post-image" height="941" src="https://thequantuminsider.com/wp-content/uploads/2026/07/Peptide.png" style="d...
Israeli Quantum Startups Eye Wall Street as SPAC Interest Accelerates
<a href="https://thequantuminsider.com/2026/07/13/israeli-quantum-startups-eye-wall-street-as-spac-interest-accelerates/" rel="nofollow" title="Israeli Quantum Startups Eye Wall Street as SPAC Interest Accelerates"><img alt="a close up of a flag with a star of david on it" class="webfeedsFeaturedVisual wp-post-image" height="1200" src="https://thequantuminsider.com/wp-conten...
Why Quantum Computing Needs Strong Ecosystems to Scale
<a href="https://thequantuminsider.com/2026/07/11/why-quantum-computing-needs-national-ecosystems-to-scale/" rel="nofollow" title="Why Quantum Computing Needs Strong Ecosystems to Scale"><img alt="quantum computing ecosystems" class="webfeedsFeaturedVisual wp-post-image" height="704" src="https://thequantuminsider.com/wp-content/uploads/2026/07/2026-07-09_17-40.png" style="d...
BTQ Technologies and ICTK Complete Design of Quantum-Secure QCIM Security Chip
<a href="https://thequantuminsider.com/2026/07/10/btq-technologies-ictk-complete-design-next-generation-qcim-security-chip-integrating-puf-technology/" rel="nofollow" title="BTQ Technologies and ICTK Complete Design of Quantum-Secure QCIM Security Chip"><img alt="BTQ logo - TQI" class="webfeedsFeaturedVisual wp-post-image" height="738" src="https://thequantuminsider.com/wp-c...
Chips
46 chip stack items collected on 2026-07-13; memory, packaging, compute, and foundry signals routed.Compute Accelerators
NAVER Expands AI Infrastructure With NVIDIA to Serve Surging Global AI Demand
NVIDIA and NAVER today announced that NAVER will expand sovereign AI infrastructure, starting at 55 megawatts with plans to move to gigawatt scale using the NVIDIA DSX™ platform to rapidly design, build and scale full-stack, end-to-end AI platforms that can serve enterprises, industries and government.
NVIDIA RTX PRO Servers With Blackwell Coming to World’s Most Popular Enterprise Systems
NVIDIA today announced that the NVIDIA RTX PRO™ 6000 Blackwell Server Edition GPU is coming to the world’s most popular enterprise servers, speeding the shift from traditional CPU systems to accelerated computing platforms.
NVIDIA Builds World’s First Industrial AI Cloud to Advance European Manufacturing
NVIDIA today announced it is building the world’s first industrial AI cloud for European manufacturers. This Germany-based AI factory will feature 10,000 GPUs, including through NVIDIA DGX™ B200 systems and NVIDIA RTX PRO™ Servers, and enable Europe’s industrial leaders to accelerate every manufacturing application, from design, engineering and simulation to factory digital...
NVIDIA DGX Cloud Lepton Connects Europe’s Developers to Global NVIDIA Compute Ecosystem
NVIDIA today announced the expansion of NVIDIA DGX Cloud Lepton™ — an AI platform featuring a global compute marketplace that connects developers building agentic and physical AI applications — with GPUs now available from a growing network of cloud providers.
Europe Builds AI Infrastructure With NVIDIA to Fuel Region’s Next Industrial Transformation
NVIDIA today announced it is working with European nations, and technology and industry leaders, to build NVIDIA Blackwell AI infrastructure that will strengthen digital sovereignty, support economic growth and position the continent as a leader in the AI industrial revolution.
NVIDIA Announces DGX Cloud Lepton to Connect Developers to NVIDIA’s Global Compute Ecosystem
NVIDIA today announced NVIDIA DGX Cloud Lepton™ — an AI platform with a compute marketplace that connects the world’s developers building agentic and physical AI applications with tens of thousands of GPUs, available from a global network of cloud providers.
Foxconn Builds AI Factory in Partnership With Taiwan and NVIDIA
NVIDIA and Foxconn Hon Hai Technology Group today announced they are deepening their longstanding partnership and are working with the Taiwan government to build an AI factory supercomputer that will deliver state-of-the-art NVIDIA Blackwell infrastructure to researchers, startups and industries.
NVIDIA Blackwell GeForce RTX Arrives for Every Gamer, Starting at $299
NVIDIA today announced the NVIDIA GeForce RTX™ 5060 family of GPUs, including two graphics cards that deliver neural rendering and NVIDIA Blackwell architecture innovations for every gamer — starting at just $299.
Memory and Advanced Packaging
3nm GAA-FET SRAM Review Evaluates Self-Heating And Radiation Hardness (SJSU, Sandia)
<p>Researchers from San Jose State University and Sandia National Laboratories published a technical paper titled “Self-Heating and Radiation Hardness Studies of 3nm GAA-FET-Based SRAM with Different Substrate Isolation Techniques.” Abstract Excerpt: “In addition to the traditional bottom dielectric isolation (BDI), which isolates the source/drain (S/D) from the substrate (d...
Foundry, Tools, and Capex
Monolithic CMOS Platform Integrates Piezo-Optomechanical Photonics (Mitre et al.)
<p>Researchers from MITRE, University of Colorado Boulder, Sandia National Laboratories, University of Arizona, and MIT published a technical paper titled “Monolithic Integration of Piezo-Optomechanical Photonics and CMOS Electronics.” Abstract Excerpt: The paper demonstrates a “fully monolithic, all-CMOS fabricated platform” for piezo-optomechanical photonic integrated circ...
Unrouted Items
NVIDIA and SK hynix Announce Multiyear Technology Partnership to Advance Memory for AI Factories
NVIDIA and SK hynix today announced a multiyear technology partnership to advance next-generation memory for the global AI factory buildout and accelerate semiconductor design and manufacturing.
SK Telecom and NVIDIA Build AI Infrastructure to Power Korea’s AI Innovation
NVIDIA and SK Telecom today announced that SK Telecom plans to build a gigawatt-scale AI Cloud in Korea using the NVIDIA DSX™ platform, with the first AI factory coming online in 2027.
NVIDIA and Global Telecom Leaders Commit to Build 6G on Open and Secure AI-Native Platforms
NVIDIA today announced a commitment — together with Booz Allen, BT Group, Cisco, Deutsche Telekom, Ericsson, MITRE, Nokia, OCUDU Ecosystem Foundation, ODC, SK Telecom, SoftBank Corp. and T-Mobile — to build the world’s next generation of wireless networks on AI-native, open, secure and trustworthy platforms.
NVIDIA today announced a collaboration with Palantir Technologies Inc. to build a first-of-its-kind integrated technology stack for operational AI — including analytics capabilities, reference workflows, automation features and customizable, specialized AI agents — to accelerate and optimize complex enterprise and government systems.
NVIDIA Partners With Novo Nordisk and DCAI to Advance Drug Discovery
NVIDIA today announced a collaboration with Novo Nordisk to accelerate drug discovery efforts through innovative AI use cases. The work supports Novo Nordisk’s agreement with DCAI to use the Gefion sovereign AI supercomputer.
Siemens and NVIDIA Expand Partnership to Accelerate AI Capabilities in Manufacturing
Siemens and NVIDIA announced today an expansion of their partnership to accelerate the next era of industrial AI and digitalization and enable the factory of the future.
NVIDIA Partners With Europe Model Builders and Cloud Providers to Accelerate Region’s Leap Into AI
NVIDIA GTC Paris at VivaTech—NVIDIA today announced that it is teaming with model builders and cloud providers across Europe and the Middle East to optimize sovereign large language models...
NVIDIA Powers Europe’s Fastest Supercomputer
NVIDIA today announced that the JUPITER supercomputer, powered by the NVIDIA Grace Hopper™ platform, is the fastest in Europe — delivering a more than 2x speedup for high-performance computing and AI workloads compared with the next-fastest system.
NVIDIA RTX PRO Servers Speed Trillion-Dollar Enterprise IT Industry Transition to AI Factories
NVIDIA today announced it is speeding the trillion-dollar IT infrastructure transition to enterprise AI factories with NVIDIA RTX PRO™ Servers and a new NVIDIA Enterprise AI Factory validated design for building data centers that deliver universal acceleration for AI, design, engineering and business applications.
NVIDIA Launches AI-First DGX Personal Computing Systems With Global Computer Makers
NVIDIA today announced that Taiwan’s leading system manufacturers are set to build NVIDIA DGX Spark and DGX Station™ systems.
NVIDIA and the Kingdom of Saudi Arabia (KSA) today announced partnerships to transform the country into a global powerhouse in AI, cloud and enterprise computing, digital twins and robotics.
HUMAIN and NVIDIA Announce Strategic Partnership to Build AI Factories of the Future in Saudi Arabia
HUMAIN, the new full AI value chain subsidiary of Saudi Arabia’s Public Investment Fund, today announced a landmark strategic partnership with NVIDIA, the world leader in AI computing infrastructure, to drive the next wave of artificial intelligence development.
NVIDIA Introduces HGX-2, Fusing HPC and AI Computing into Unified Architecture
GTC Taiwan—NVIDIA today introduced NVIDIA HGX-2, the first unified computing platform for both artificial intelligence and high performance computing.
How Architecture Firm WBCM Is Moving to 100% Virtualization
<p>Small IT teams often have to play big to keep up with their firm’s global operations. That’s the case at Whitney Bailey Cox & Magnani, LLC (WBCM), an architecture, engineering and construction services group that designs and builds projects for the U.S. Army Corps of Engineers, the NFL’s Baltimore Ravens, Lockheed Martin, the Ritz-Carlton and […]</p> <p>The post...
Rendering Made Easy: Iray Server Makes Light Work of Complex Designs
<p>Ever wish you could harness the power of an entire network of workstations to make light work of your most complex designs? Now you can, with Iray Server, our distributed rendering software. Available for a free 90-day trial starting today, Iray Server coordinates a network of machines as a “cluster” to speed the creation of… <a href="http://blogs.nvidia.com/blog/20...
More Users, Better Performance: NVIDIA GRID Boosts Blast Extreme in VMware Horizon
<p>What IT department wouldn’t want to be able to do more with their current infrastructure? With NVIDIA GRID, they can. NVIDIA GRID acceleration of Blast Extreme — a new protocol for optimizing the mobile cloud — is now supported in VMware Horizon 7. What’s that mean for IT managers? Reduced latency. Improved performance. And up… <a href="http://blogs.nvidia.com/blog/...
How Virtual Reality Is Making the Leap into Everyday Life
<p>Headlines about virtual reality often focus on how it’s upending the world of gaming. But VR is also revolutionizing fields across everyday life — areas like medicine, architecture, education, product design and retailing. A great example is Audi’s new virtual showroom where you can explore each of their models in vivid detail through VR. The German… <a href="http:/...
AMD Commits up to £2 Billion to Accelerate AI Innovation and Research in the United Kingdom
AMD Announces More Than $10 Billion in Taiwan Ecosystem Investments to Accelerate AI Infrastructure
AMD Gives Consumers and Businesses More AI PC Options with Expanded Ryzen™ AI 400 Series Portfolio
<p>Plenty of cash for AI and its enablers; 80 startups raise over $6B.</p> <p>The post <a href="https://semiengineering.com/startup-funding-q2-2026/">Startup Funding: Q2 2026</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
<p>There has never been a time when change has become something everyone expects. Now we are figuring out what it means to us individually.</p> <p>The post <a href="https://semiengineering.com/change-is-tough/">Change Is Tough</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Innovation First, AI Second: Lessons From SSN And The Future Of Test
<p>Human engineers created the breakthrough architecture; AI helps maximize its value.</p> <p>The post <a href="https://semiengineering.com/innovation-first-ai-second-lessons-from-ssn-and-the-future-of-test/">Innovation First, AI Second: Lessons From SSN And The Future Of Test</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Open DRAM Model For PIM Analysis In 3D DRAM (Georgia Tech)
<p>Researchers from Georgia Institute of Technology published a technical paper titled “Open DRAM Model—Part II: Enabling Processing-in-Memory in 3-D DRAM.” Abstract Excerpt: “In this work, we present an “Open DRAM Model” that enables comprehensive circuit-level analysis of DRAM operations across multiple architectures, including conventional 6F2 BCAT, scaled 4F2 VCT, and mo...
Hardware Abstraction Layer Study Targets Software-Defined Vehicles (U. of Stuttgart)
<p>Researchers from University of Stuttgart published a technical paper titled “Evaluating Hardware Abstraction Layer Concepts for Software Defined Vehicles: Insights into Applicability and Effectiveness.” Abstract Excerpt: “The emergence of Software-Defined Vehicles represents a fundamental shift in automotive design, prioritizing software-centric architectures over traditi...
Room-temperature, CMOS-compatible Photonic Quantum Processor (NUS et al.)
<p>Researchers from Rotonium, Centre for Quantum Technologies at National University of Singapore, Inveriant, Politecnico di Milano, and CNIT published a technical paper titled “Design and Benchmarking of a Quantum Photonic Chip.” Abstract Excerpt: The paper presents a quantum photonic processor based on “standard CMOS-compatible manufacturing processes” and operating with s...
AI Framework Maps Thermal Behavior In 3D Photonic Circuits (U. of Florida et al.)
<p>Researchers from University of Florida, ficonTEC Service, and Colorado State University published a technical paper titled “AI-Driven Thermal Mapping and Management in 3D Integrated Photonic Circuits.” Abstract Excerpt: “Photonic Integrated Circuits (PICs) are advancing high-performance computing, data centers, and sensing, yet three-dimensional (3D) PICs introduce critic...
Power
22 power layer items collected on 2026-07-13; data center load, grid, generation, and cooling signals routed.Data Center Power Demand
Metered electricity demand in the New York ISO falls midday because of small-scale solar
An increase in electricity generation from small-scale solar in New York has decreased the midday demand for metered electricity, amid overall declining load in the state. The trend is particularly notable in the early spring (March and April), when solar generation has an outsized impact because demand is relatively low and conditions for solar generation are favorable.
ENKA and GE Vernova mark the start of commercial operation of Türkiye’s first HA-powered plant
Kırklareli, Türkiye - (May 12, 2026) ENKA and GE Vernova Inc (NYSE: GEV) today announced the start of commercial operations at the 852 megawatts (MW) Kırklareli power plant in Kırklareli, about 20 miles from the Bulgarian border in Türkiye. The facility is the first HA-powered plant
Grid and Generation
Solar generation in CAISO surpassed natural gas in the first five months of 2026
In the first five months of 2026, utility-scale solar generation surpassed natural gas generation in CAISO. Solar electricity generation in the California Independent System Operator (CAISO) over the first five months of 2026 increased 21% compared with the same period in 2024, and natural gas generation decreased by 60%, data from our Hourly Electric Grid Monitor shows.
Largest wind farm in the United States slated to begin commercial operations
The SunZia Wind Project, the largest wind farm in the United States, is slated to begin commercial operations this month. The wind farm, located in New Mexico, has a total net summer generating capacity of 3,650 megawatts (MW) and is composed of 916 wind turbines. SunZia's capacity is more than three times larger than the next two largest wind farms, Alta Wind in Southern Ca...
China's nuclear power capacity nearly doubled since 2016
From 2016 to 2024, China's nuclear generation capacity increased 76% (24 GW), based on our International Energy Statistics (IES) data. According to the International Atomic Energy Agency's Power Reactor Information System (PRIS), China added an additional 1.1 GW of nuclear power capacity in 2025 and 2.2 GW in 2026 (through May). China is continuing to build out its nuclear g...
GE Vernova modernizes its R&D lab in Italy to support more reliable electric grids
NOVENTA DI PIAVE, Italy —June 30, 2026— GE Vernova today announced the completion of the modernization of its high-voltage research and development (R&D) laboratory at its Noventa di Piave site, near Venice, Italy. The lab tests equipment that helps electricity move safely from where it is
GE Vernova secures H-class equipment order for EVN’s Quang Trach II LNG Power Plant in Vietnam
HANOI, Vietnam - June 23, 2026 – GE Vernova Inc. (NYSE: GEV) today announced it has secured an order for two 9HA.02 gas turbines and two H78 generators for Vietnam Electricity’s (EVN) Quang Trach II LNG Power Plant in Vietnam. The new combined-cycle power plant is expected to generate
Cambridge, MA (June 17, 2026) – GE Vernova Inc. (NYSE: GEV) today released its 2025 Sustainability Report, demonstrating continued progress toward its mission to electrify the world to thrive and decarbonize, with an emphasis on moving bold and innovative breakthrough
GE Vernova Introduces GridOS® for Transmission and New AI Whitepapers at Orchestrate 2026
ATLANTA, GA., June 9, 2026 – GE Vernova (NYSE: GEV) today introduces GridOS for Transmission and released two new AI whitepapers addressing grid planning and autonomous grid-edge operations at Orchestrate 2026, the company's annual grid software conference bringing together utility leaders,
New Delhi, India (June 4, 2026) – GE Vernova Inc. (NYSE: GEV) announced today that it has signed an agreement with Powerica Limited to supply 28 of its 3.8 MW–154m* onshore wind turbines for the Botad Wind Farm in Gujarat, India. The 100 MW project marks the debut of GE Vernova’s 3.8 MW
Unrouted Items
U.S. refining capacity decreased during 2025
U.S. operable atmospheric distillation capacity, the primary measure of refinery capacity, totaled 18.2 million barrels per calendar day (b/cd) on January 1, 2026-down over 250,000 b/cd (about 1%) compared with January 1, 2025-according to our latest annual Refinery Capacity Report.
U.S. commercial crude oil inventories have decreased in June
For the week ending June 19, 2026, U.S. refineries processed 17.1 million barrels per day (b/d) of crude oil, down 81,000 b/d from the previous week, and they operated at 96.1% capacity utilization. Gasoline production averaged 9.5 million b/d, and distillate production increased to 5.2 million b/d.
UAE's exit from OPEC+ reduced the group's share of crude oil production and capacity
On April 28, 2026, the United Arab Emirates (UAE) announced that it was leaving OPEC, effective on May 1. OPEC was formed in 1960 by Iraq, Iran, Kuwait, Saudi Arabia, and Venezuela, with the stated objective to "coordinate and unify petroleum policies among Member Countries." OPEC is best known for its effect on global crude oil prices.
U.S. natural gas storage capacity increased slightly in 2025
Underground working natural gas storage capacity in the Lower 48 states increased slightly in 2025, according to our latest data, with growth concentrated in the South Central and Mountain regions. Underground natural gas storage provides a source of energy when demand increases, balancing U.S. energy needs. We calculate natural gas storage capacity in two ways: demonstrated...
GE Vernova powers Africa’s industrialisation with integrated energy solutions
CAPE TOWN, South Africa (June 17, 2026) – In line with the Africa Energy Forum’s theme, ‘Building Africa’s industrialized Future,’ GE Vernova Inc. (NYSE: GEV) today showcased its comprehensive portfolio of technologies engineered to translate large-scale infrastructure ambitions into operational
GE Vernova to deliver pumped-storage technology for India’s 1.35 GW Upper Sileru hydropower plant
VADODARA, INDIA (May 4, 2026) – GE Vernova Inc. (NYSE: GEV) announced today that it has secured an order from Megha Engineering & Infrastructures Limited (MEIL) to deliver nine 150 MW pumped-storage units for the 1.35 GW Upper Sileru hydropower plant, located in the state of
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