Daily brief
July 11, 2026.
70 quantum research items collected on 2026-07-11; hardware, control, and industry signals routed.
Quantum
70 quantum research items collected on 2026-07-11; hardware, control, and industry signals routed.Hardware and Error Correction
Plaquette: A hardware-aware design platform for fault-tolerant quantum computers
Hardware teams building fault-tolerant quantum computers (FTQCs) must decide which imperfections to suppress, and that decision requires the logical performance of the architecture under the device's actual noise. Hardware noise often departs from the stochastic Pauli models used by scalable stabilizer simulators: superconducting transmons leak out of the computational subsp...
Approaching Carnot Efficiency at Finite Power in an Experimentally Feasible Quantum Heat Engine
Whether a heat engine can approach Carnot efficiency while maintaining finite power is a fundamental question in finite-time thermodynamics. For classical Markovian heat engines with local interactions, the power-efficiency trade-off forbids an asymptotic approach to Carnot efficiency at finite power. In quantum systems, by contrast, degeneracy, symmetry, and collective jump...
Robust One-Sided Device-Independent Quantum Key Distribution via High-Dimensional Steering
Quantum key distribution (QKD) brings the promise of communication with information-theoretic security but is limited in practice due to its susceptibility to noise, losses, and device imperfections. To address these challenges, we propose a robust high-dimensional (HD) one-sided device-independent QKD (1sDI-QKD) protocol and present a proof-of-principle experimental impleme...
Low-latency FPGA-based electronic control system for fast preparation of defect-free atom arrays
The scalability of neutral atom quantum computing demands integrated electronic control systems with low latency, modular architecture, and real-time feedback capability. Here, we present an FPGA-based electronic control system that eliminates the PC from the feedback loop, integrating photon counting, real-time decision-making, and waveform generation within a unified PXIe...
Entanglement Wedge Reconstruction without Holographic Quantum Error Correction
Bulk reconstruction is a central problem in AdS/CFT, and entanglement wedge reconstruction is its subregion version. We argue that this subregion statement should be separated from the stronger holographic quantum error correction interpretation, in which one region-independent logical bulk operator has code-preserving representatives in several boundary regions. A simple lo...
A Nonstabilizerness Resource Law for Universal Quantum State Purification
Quantum state purification aims to recover higher-fidelity quantum states from multiple noisy copies and is a fundamental primitive for quantum information processing. Magic resources enable operations beyond classically simulable dynamics and are central to universal fault-tolerant quantum computation. Recent no-go results show that classically simulable operations cannot a...
Distributed Monogamy of Entanglement limits Quantum Channel Simulation
Entanglement is monogamous: if it is shared among more than two parties, the entanglement between any pair cannot be very strong. For an integer $k\geq 2$, $k$-extendibility of a state $ρ_{AB}$ quantifies this as the number of copies of $B$ that can be simulated by the state's environment. We introduce fractional extendibility, which gives a finer characterization of the qua...
Universality of Measurement-Induced Criticality under Symmetry-Breaking Measurements
We study the critical properties of random quantum circuits with a $U(1)$ symmetry subject to local projective measurements that explicitly break this symmetry. We find that, at the measurement-induced phase transition, symmetry-breaking measurements act as a relevant perturbation at large scales, leading to the same universal critical properties as the corresponding monitor...
Control and Quantum-AI Integration
Grokking and epoch-wise double descent in quantum neural networks
Grokking, the delayed transition from memorization to generalization, is a fundamental phenomenon in gradient-based learning, yet its dynamics within variational quantum machine learning (QML) remain largely unexamined. In this work, we report the empirical observation of both the grokking transition and epoch-wise double descent in a two-qubit quantum neural network (QNN) u...
Full-Spectrum Quantum Simulation for the Nuclear Shell Model
The nuclear shell model is a general way of expressing the many-body nuclear Hamiltonian and deciphering the underlying nuclear structure. In today's era of modern and high-power computation, the primary limitation of the nuclear shell model is the enormous dimensionality of its Hilbert space, which far exceeds available storage capacity and prevents the diagonalization of t...
BTQ Technologies and ICTK Finalize Architecture for Next-Generation Post-Quantum Security Chip
<p>Global quantum-safe engineering firm BTQ Technologies Corp. (Nasdaq: BTQ) has finalized the technical design phase for its next-generation hybrid security processor. Developed in direct cooperation with South Korean secure-element pioneer ICTK Co., Ltd. (KOSDAQ: 456010), the system architecture marks a structural milestone by integrating post-quantum cryptography (PQC) ac...
Google Study Shows Quantum Computer Can Learn From Its Own Errors While It Computes
<a href="https://thequantuminsider.com/2026/07/10/google-study-shows-quantum-computer-can-learn-from-its-own-errors-while-it-computes/" rel="nofollow" title="Google Study Shows Quantum Computer Can Learn From Its Own Errors While It Computes"><img alt="Google Quantum" class="webfeedsFeaturedVisual wp-post-image" height="858" src="https://thequantuminsider.com/wp-content/uplo...
Commercial and Industry Context
The Noisy Intermediate-Scale Quantum (NISQ) era poses a challenge for developers: hardware providers expose capabilities through heterogeneous interfaces with proprietary metrics varying widely across providers, hindering informed backend selection. Static characterization metrics - coherence times T1/T2, gate error rates - exhibit limitations: they fail to capture dynamic v...
Metropolitan entanglement distribution between an atom and a near-visible photon
Entanglement distribution is the overarching purpose of quantum networks. While communication over long distances can use deployed fiber infrastructure, it requires photons in the telecom band. However, advanced quantum network nodes do not operate at such wavelengths. Here we overcome this limitation with two tailor-made low-noise quantum-frequency converters to distribute...
Fourier imaging of collective spontaneous emission modes in superradiant cold atomic clouds
We measure the spatial pattern associated with the superradiant emission from a cloud of cold 87Rb atoms using Fourier imaging. We observe a highly directional, ring-shaped emission structure, which corresponds to a single collective jump operator associated to the most superradiant mode of the ensemble. Using spatial filtering, we isolate this channel and find the typical s...
<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...
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...
Unrouted Items
Typicality of Steering for Two-qubit States
Phenomena that slip beyond the grasp of our classical intuition reveal uniquely quantum effects that deepen our understanding of the physical world and enable advances in information processing, particularly in quantum communication and computation. One such phenomenon is quantum steering, whereby measurements performed by one party influence the conditional states of anothe...
Irreducible Geometry of Higher-Order Correlator Families
Programmable quantum simulators are beginning to access correlators of increasing complexity, ranging from four-point out-of-time-ordered correlators to even higher-order many-body correlators. The theoretical framework for interpreting such data, however, remains comparatively underdeveloped. Although a variety of higher-order correlators can be constructed straightforwardl...
In this paper we give a systematic and unified treatment and extensions of various results on a new notion of quantum $f$-divergences defined from quantum hockey stick divergences, the theory of which has been developed recently in \cite{BHT_fdiv,HircheTomamichel_integral,LiuHircheCheng2025}. In particular, we consider non-normalized states and hockey stick $f$-divergences d...
Absence of quantum advantage for approximate spin glass optimization
We perform a semiclassical, large-spin S, analysis of the quantum approximate optimization algorithm (QAOA) on the Sherrington-Kirkpatrick (SK) model, using the truncated Wigner approximation. Fixing the QAOA angles to their previously determined optimal S=1/2 values, we observe a non-monotonic dependence of the final energy on the spin. At small S the semiclassics is domina...
Quantifying randomness with measurement incompatibility
We present a trade-off between the amount of observed measurement incompatibility and the capabilities of a classical Eavesdropper in a prepare-and-measure scenario. The result is based on a qualitative connection between measurement incompatibility and randomness generation together with the utilization of incompatibility witnesses as randomness certificates. This allows on...
Instability of the undecidable behavior of the spectral gap in 1D
The problem of determining the existence of a spectral gap in a lattice quantum spin system was previously shown to be undecidable for one [J. Bausch et al., "Undecidability of the spectral gap in one dimension", Physical Review X 10 (2020)] or more dimensions [T. S. Cubitt et al., "Undecidability of the spectral gap", Nature 528 (2015) and Forum of Mathematics Pi, 10 (2022)...
Temperature Beyond Equilibrium in Isolated Quantum Many-Body Systems and Their Subsystems
Temperature is one of the central concepts of thermodynamics, yet its meaning away from equilibrium remains elusive. This problem is particularly acute in isolated quantum many-body systems: their states evolve unitarily, need not be close to equilibrium, and can retain energy coherence, a feature with no classical thermodynamic analogue. A non-stationary quantum state conta...
Extracting conformal data from Loschmidt echoes after critical quenches
Conformal field theory provides universal predictions for Loschmidt amplitudes following quenches from product states to critical Hamiltonians. Building on this observation, we develop a route to extracting conformal data from real-time dynamics without preparing critical low-energy states. After analytic continuation, the Loschmidt amplitude is described by a boundary-CFT p...
Symmetry as a route to generalized bosonic Kitaev chains
The bosonic Kitaev chain (BKC) model is a deceptively simple looking quadratic pairing Hamiltonian. Despite being purely Hermitian, it exhibits a number of striking non-Hermitian topological phenomena, including skin effects. We show here how symmetries play a key role in this model, and how identifying these allows one to develop generalized BKC-like models. We emphasize th...
The identification of molecules that combine long spin coherence times and efficient spin-optical interfaces, ideally at room temperature, is pivotal towards the development of molecular quantum technology. By means of advanced first-principles methods, we here unravel the electronic structure for triangulene (1), its aza-cation derivative (2), and the crystal of 2,6,10-tri-...
Operational meaning of Markov gap in tripartite entanglement of quantum dynamics
We investigate how irreducible multipartite entanglement, a long-range correlation by nature, can emerge from short-range dynamics far from equilibrium. Focusing on the Markov gap as a probe of irreducible tripartite entanglement (IrTE) in free-fermion chains, we uncover qualitatively distinct dynamical behaviors: the Markov gap grows either quasi-linearly or in staircase-li...
Renormalization flows for 1D mixed states and a quantum Goursat lemma
Renormalization provides a framework for relating microscopic models of physical systems to effective descriptions at larger length scales. This procedure is studied for the boundary states of non-chiral two-dimensional topologically ordered models. The initial data consist of renormalization fixed points built from representations of finite-dimensional $C^*$-Hopf algebras,...
The Quantum Scientific Computing Open User Testbed (QSCOUT) has developed a qubit-boson gate set for hybrid continuous-discrete variable (CV-DV) quantum computing. This document outlines how to utilize these gates on QSCOUT using Just Another Quantum Assembly Language, Jaqal\textsuperscript{TM}.
An Effective Quantum Hoare Logic for Hybrid Quantum Programs with Unbounded Loops
While quantum hardware remains limited, hybrid quantum-classical algorithms with complex control structures, including unbounded loops, are emerging, posing new challenges for quantum program analysis, including the accurate estimation of the resource consumption of a given program. Meanwhile, precise analysis techniques such as symbolic execution have largely left out hybri...
The description of the optomechanical system is commonly based on the quantum Langevin equation formalism. This framework is introduced phenomenologically or based on a model Hamiltonian. However, once dealing with the optomechanical Fabry-Perot cavity or the modified Michelson-Sagnac interferometer with a semitransparent mechanically active membrane inside, a model-free con...
Quantum Communication Lower Bounds for Search Problems via Matrix Discrepancy
We study one-way quantum communication lower bounds for search problems. Unlike decision problems, search problems can have many valid outputs, which pose a fundamental barrier to standard quantum lower-bound techniques. We overcome this by developing a novel method based on matrix discrepancy, which allows us to bound the output measurements of a quantum protocol jointly. A...
Non-Hermitian topology driven by an identity term: An exactly solvable paradigm
An identity term in the Hamiltonian is conventionally regarded as spectrally inert-it shifts energies but does not alter eigenstate topology. We show that under non-Hermitian skin pumping, this paradigm fails: a momentum-dependent identity term actively deforms the generalized Brillouin zone, thereby challenging established topological criteria that rely on fixed complex con...
Optimizing and Certifying Multipartite Permutationally Invariant Bell Inequalities
Multipartite Bell nonlocality provides a device-independent probe of many-body quantum correlations, but its characterization is limited by the rapid growth of the underlying classical and quantum optimization problems. We develop a scalable method for constructing and certifying permutationally invariant Bell inequalities using only one- and two-body correlators. The constr...
Exactly solved Schrödinger equations with time-dependent Hamiltonians
We present the analytical, exact, explicit, and assumption free formulas for the evolution operators corresponding to four instances of time-dependent Hamiltonians relevant to quantum spin batteries including two stochastic cases. We demonstrate how to recover and go beyond existing expansions and approximations directly from the exact solutions giving, for example, an expli...
Simulation of exchange coupling effects in double quantum dot FinFET-like structures
By leveraging a GPU-accelerated Schrödinger-Poisson (SP) solver, we characterize exchange coupling in a hole spin double-qubit device involving a double quantum dot (DQD) system formed inside a 5-gate silicon fin field-effect transistor (FinFET) similar to real experimental structures. The self-consistent SP simulations rely on a finite difference discretization of the 3D vo...
Global Precision Limits in Critical Quantum Metrology: From Cramér-Rao to Ziv-Zakai
Critical quantum metrology with equilibrium states predicts quantum-enhanced sensitivity only in the vicinity of criticality, where large prior information about the parameter is required. By employing quantum Ziv-Zakai bounds, we derive a limit on the mean-square error in critical quantum metrology. For second-order quantum phase transitions, we show that the precision pred...
Efficient photo-ionizing elimination of detrimental electric fields for Rydberg atoms
Rydberg atoms are highly sensitive to external electric fields due to their exaggerated electronic properties. This unique feature lays the foundation for many of their applications in quantum science. However, an uncontrolled stray electric field can be detrimental, severely degrading their quantum control. In this work, we demonstrate a universal scheme that relies on the...
The Geometry of Quantum Complexity in Open Systems
We extend Nielsen's geometric approach for quantum complexity from closed to open quantum systems, whose dynamics is governed by Lindbladian evolution. In this framework, complexity is defined through an optimal-control problem on the space of mixed states, with a cost assigned to both unitary and non-unitary generators. We show that the resulting geometric structure differs...
We introduce a family of quantum circuits that possess standard indicators of classical simulation hardness including high entanglement entropy, magic, and non-Gaussianity, yet admit efficient classical simulation via matrix product states (MPS). Our construction uses logical circuits of high-rate Calderbank-Shor-Steane (CSS) codes with enhanced symmetries. Using code automo...
Works on My QPU: Reproducibility in Quantum Computing Research
Quantum computing research increasingly depends on complex software stacks, yet the reproducibility of published results does not receive the priority and longevity mandated by recommendations of large international scientific bodies and best practices in software-centric systems research. In this paper, we present a combined manual and automated large-scale analysis of the...
Approximate eigenfunctions for some aperiodic crystals
In this paper, we consider Hamiltonians for aperiodic crystals of the form \begin{align*} H_\varepsilon:=T(-i\nabla_x+{\mathbf A}(x,\varepsilon x))+V(x,\varepsilon x),\qquad x\in {\mathbb R}^d \end{align*} where $T$ represents either a Dirac operators or a Schrödinger operator, and $x\mapsto {\mathbf A}(x,X)$ and $x\mapsto V(x,X)$ are $\mathbb L$-periodic with respect to som...
Magnetic control of Goos-Hänchen shifts and group delay time in monolayer WSe$_2$
We study the influence of an external magnetic field on the Goos-Hänchen (GH) shift and the group delay time (GDT) in monolayer WSe$_2$ in the presence of a magnetic barrier. The transport properties of Dirac-like carriers are obtained by solving the effective low-energy Hamiltonian and evaluating the corresponding transmission amplitudes. The GH shift and the GDT are subseq...
Wigner symmetries single out symmetric Wasserstein distances in all finite dimensions
We study the quantum Wasserstein distances introduced by De Palma and Trevisan associated with quadratic cost operators generated by families of self-adjoint observables. We first show that an arbitrary positive semidefinite cost operator is completely determined by the restriction of the corresponding Wasserstein distance to pairs of pure states. This allows geometric invar...
Interplay of Quasiperiodic Criticality and the Non-Hermitian Skin Effect
Quasiperiodic lattices can host critical eigenstates, whereas nonreciprocal hopping in non-Hermitian lattices can induce non-Hermitian skin effect. In this work, we investigate localization phenomena in a Hatano--Nelson model with quasiperiodically modulated hopping amplitudes, where nonreciprocity arises from unequal modulation strengths of the right and left hoppings. Usin...
Engineering Nonclassical States via the Dynamical Casimir Effect
Nonadiabatic driving in ultrastrongly coupled light--matter systems is commonly regarded as a source of errors, as counter-rotating interactions convert vacuum fluctuations into real excitations through the dynamical Casimir effect (DCE). Here we show that, instead, the DCE can be harnessed as a resource for engineering nonclassical states of light. Considering a cavity mode...
Quantum linear solvers for quantum chemistry: prospects of exponential quantum advantage
Quantum linear solvers (QLSs) can offer the potential for exponential quantum advantage in solving quantum chemical problems, but its assessment hinges on determining the condition number ($κ$) scaling, which itself is computationally challenging. While a recent work applied the Harrow-Hassidim-Lloyd (HHL) algorithm to single-reference linearized coupled cluster equations (S...
Diagonal gates are ubiquitous primitives in quantum algorithms, from phase oracles, hypergraph-state preparation, and multi-control logic to Hamiltonian simulation of spin models and digitized lattice field theories, where Ising interactions and local potential terms are diagonal in the encoded basis. Standard compilers, however, often lower diagonal structure into one- and...
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...
Application Period Open: Fraunhofer Seeks Industry Partners for Quantum Computing Use Cases
<a href="https://thequantuminsider.com/2026/07/10/application-period-open-fraunhofer-seeks-industry-partners-for-quantum-computing-use-cases/" rel="nofollow" title="Application Period Open: Fraunhofer Seeks Industry Partners for Quantum Computing Use Cases"><img alt="Fraunhofer" class="webfeedsFeaturedVisual wp-post-image" height="315" src="https://thequantuminsider.com/wp-c...
Chips
45 chip stack items collected on 2026-07-11; 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.
Foundry, Tools, and Capex
<p>Micron ups US investments; Apple's $30B deal; Solstice's buy; onsemi divests; diamonds for inspection; fault-tolerant quantum $; analog IMC; patent infringements; Accellera's functional safety standard; 189k workers shortage; USB standards; fab roadblocks.</p> <p>The post <a href="https://semiengineering.com/chip-industry-week-in-review-146/">Chip Industry Week In Review<...
From Host Node To Heterogeneous Rack: Rethinking The AI CPU
<p>As AI infrastructure fragments into specialized tiers, CPUs are becoming the orchestration layer for agentic workloads.</p> <p>The post <a href="https://semiengineering.com/from-host-node-to-heterogeneous-rack-rethinking-the-ai-cpu/">From Host Node To Heterogeneous Rack: Rethinking The AI CPU</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engine...
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
The Architecture Decisions Behind A Production-Ready EDA AI Agent
<p>Building an AI agent that works in semiconductor and PCB design requires solving problems that generic agentic frameworks were never designed to handle. </p> <p>The post <a href="https://semiengineering.com/the-architecture-decisions-behind-a-production-ready-eda-ai-agent/">The Architecture Decisions Behind A Production-Ready EDA AI Agent</a> appeared first on <a href="ht...
AI Is Rewriting The IP Playbook
<p>As the semiconductor ecosystem pivots to AI, it is transforming how IP is created, verified, managed, and sold.</p> <p>The post <a href="https://semiengineering.com/ai-is-rewriting-the-ip-playbook/">AI Is Rewriting The IP Playbook</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
UALink Under The Hood: Why Full-Stack Verification Wins
<p>Following a transaction the way the silicon does to ensure the entire path preserves both meaning and bytes. </p> <p>The post <a href="https://semiengineering.com/ualink-under-the-hood-why-full-stack-verification-wins/">UALink Under The Hood: Why Full-Stack Verification Wins</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
<p>Recompiling and re-profiling the entire model zoo across a broad sweep of hardware configurations.</p> <p>The post <a href="https://semiengineering.com/benchmarking-an-npu-at-scale/">Benchmarking An NPU At Scale</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
<p>Using models outside the context in which they were created for can result in misleading information. </p> <p>The post <a href="https://semiengineering.com/an-ai-model-fit-for-purpose/">An AI Model Fit For Purpose</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Chip Industry Technical Paper Roundup: July 8
<p>Schottky barriers at Si/metal interfaces; agentic HLS; probabilistic memory for edge; agentic HW design automation as repository-level code evolution; HW fingerprinting for photonic ICs; functional safety; open-source, customizable RISC-V SoC platform.</p> <p>The post <a href="https://semiengineering.com/chip-industry-technical-paper-roundup-july-8-2/">Chip Industry Techn...
Power
22 power layer items collected on 2026-07-11; 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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