Daily brief
July 19, 2026.
60 quantum research items collected on 2026-07-19; hardware, control, and industry signals routed.
Quantum
60 quantum research items collected on 2026-07-19; hardware, control, and industry signals routed.Hardware and Error Correction
A critical limitation of solid-state quantum devices arises from the materials from which they are fabricated: uncontrolled surfaces, interfaces, and structural imperfections introduce numerous sources of loss and decoherence. Despite extensive efforts, linking these decoherence mechanisms to their microscopic material origins -- essential for developing effective mitigation...
Backpropagating Pauli Propagation
We develop a backpropagation algorithm for evaluating parameter gradients in quantum circuits using Pauli propagation simulation. The method has computational complexity comparable to that of standard sparse Pauli simulation techniques, while producing gradients whose accuracy is of the same order as the corresponding observable expectation values. By exploiting the reversib...
Parameter-Shift Rules for Gradients in Boson Sampling Experiments
Using a robust photon loss model for photonic quantum experiments, we derive $n-$th order parameter-shift rules for computing gradients of Fock boson sampling transition probabilities where $n$ photons are sent into a lossy interferometer. We also show that in general it is not possible to generalize this gradient recipe to the case of Gaussian boson sampling. Only in the sp...
LDGM-Based Quantum Codes for Fault-Tolerant Quantum Computation
We construct a new family of Calderbank-Shor-Steane (CSS) codes using the generator and parity-check matrices of Low-Density Generator Matrix (LDGM) codes, with row operations applied to both matrices in order to achieve the desired quantum rate. Decoding is performed in an iterative manner, by applying message passing over the associated graph, and discrete Density Evolutio...
Towards logical entanglement creation in trivalent planar architectures
Low-overhead quantum error-correction schemes are essential for enabling quantum computation on registers containing multiple logical qubits. For planar architectures with limited nearest-neighbor qubit connectivity, the surface code has emerged as the leading paradigm. Recent theoretical and experimental work has shown that a physical-qubit connectivity of degree three is s...
Stabilizer codes are often constructed within the Calderbank--Shor--Steane (CSS) framework, where two mutually orthogonal binary classical codes define $X$ and $Z$-type stabilizer generators. While this structure is algebraically convenient, additional non-CSS constraints may help suppress low-weight logical operators and improve decoding performance in the finite-length reg...
Binary Gauss Stabilizers for Abelian Lattice Gauge Theories
Gauge theories and quantum error-correcting codes share the same underlying structure: both use constraints to identify a specific subspace of the full Hilbert space. In quantum error correction, these constraints are known as stabilizers, while in gauge theories they correspond to Gauss law. In this work, we consider a family of discrete Abelian lattice gauge theories descr...
Local Variance-Based Calibration of Programmable Photonic Interferometer Meshes
Programmable photonic interferometer meshes enable reconfigurable linear optical transformations, but their performance depends critically on accurate calibration of Mach-Zehnder interferometers and phase shifters. Conventional methods often require node isolation, dedicated routing paths, orthogonal training states, reference channels, or prior phase-voltage characterizatio...
Control and Quantum-AI Integration
On the origin of finite entanglement scaling
The concept of finite entanglement scaling forms one of the pillars on which the tensor network ecosystem is built. In this paper, we resolve the open problem of determining the actual perturbations induced by matrix product state approximations of critical systems, and we demonstrate that these can be quite different than the ones predicted by conformal field theory. To tha...
We study time-discrete parametric approximations of evolution equations in Hilbert spaces based on residual minimization. The solution is represented by a parametrized ansatz belonging to a low-dimensional nonlinear manifold, and time stepping is performed by minimizing suitably defined residuals at each step. Two natural residual formulations are considered: discretization...
SQD-Enabled Circuit Compression for Resource-Efficient Quantum Chemistry
Subspace Quantum Diagonalization (SQD) recovers ground-state energies by classically diagonalizing a Hamiltonian in the subspace spanned by quantum samples, requiring only bitstrings with sufficient ground-state overlap rather than an accurate variational energy. We reveal and exploit this underexplored robustness property: how much non-Clifford and variational expressivity...
Machine-Learning-Empowered Quantum Sensing of the Plaquette Phase in a Three-Level Delta System
We propose a machine-learning-empowered approach to the quantum sensing of the plaquette phase, a gauge-invariant quantity arising in three-level $Δ$ systems. This phase profoundly affects the system dynamics, breaking coherent population trapping and inducing a non-trivial phase dependence of the dynamics. We demonstrate that a multi-layer perceptron (MLP), trained in a sup...
Implicit differentiation of tensor network algorithms
The current leading approach to the variational optimization of projected entangled-pair states (PEPS) is based on automatic differentiation, which allows for a convenient evaluation of the energy gradient with respect to the local variational degrees of freedom. However, evaluating the energy gradient not only remains a major computational bottleneck of the optimization pro...
Evolution-Level Quantum Optimal Control of Single-Qubit Gates with Physics-Informed Neural Networks
Quantum gate design is often represented as pulse optimization, although the physical object that implements a gate is the full controlled evolution generated by the pulse. Here we use physics-informed neural networks to represent single-qubit gate design at this evolution level: the control fields, the Bloch-state trajectories, and the total duration are learned together un...
Moment Optimization in the Navascués-Pironio-Acín Hierarchy
The Navascués-Pironio-Acín (NPA) hierarchy provides a convergent sequence of semidefinite programming (SDP) relaxations for noncommutative polynomial optimisation, ubiquitous in quantum physics. However, its practical applicability is limited by the combinatorial growth in operator moments required at each level. Since not all moments contribute equally to bound tightness, s...
Structure-Aware Variational State Preparation for Quantum Basket Option Pricing
Basket option pricing often relies on Monte Carlo estimation, for which quantum amplitude estimation (QAE) provides a quadratic speed-up. However, the practical benefit of QAE can be limited by the depth of the state-preparation circuit. We propose a structure-aware quantum state-preparation framework for QAE-based basket option pricing. The framework uses tensor-train (TT)...
Commercial and Industry Context
Quantum key distribution (QKD) can provide secret keys with security rooted in quantum mechanics, but operation alongside high-capacity classical traffic remains limited by the excess-noise budget of weak quantum states in conventional solid-core fiber. Here, we combine ultralow-loss anti-resonant hollow-core fiber with residual-carrier-assisted discrete-modulation continuou...
Tennessee Launches K-12 Quantum Education Program Through TN QuantumWorks
<a href="https://thequantuminsider.com/2026/07/17/tn-quantumworks-k12-quantum-education-program/" rel="nofollow" title="Tennessee Launches K-12 Quantum Education Program Through TN QuantumWorks"><img alt="K–12 Quantum" class="webfeedsFeaturedVisual wp-post-image" height="691" src="https://thequantuminsider.com/wp-content/uploads/2026/07/2026-07-17_17-30.png" style="display:...
Former IBM Quantum Executive Denise Ruffner Joins Haiqu to Expand Quantum Software Adoption
<a href="https://thequantuminsider.com/2026/07/16/denise-ruffner-joins-haiqu-to-expand-quantum-software-adoption/" rel="nofollow" title="Former IBM Quantum Executive Denise Ruffner Joins Haiqu to Expand Quantum Software Adoption"><img alt="Denise Ruffner" class="webfeedsFeaturedVisual wp-post-image" height="687" src="https://thequantuminsider.com/wp-content/uploads/2026/07/2...
Bloq Quantum Partners With MIUUL to Expand Quantum Machine Learning Training in Turkey
<a href="https://thequantuminsider.com/2026/07/16/bloq-quantum-miuul-quantum-machine-learning-training-partnership/" rel="nofollow" title="Bloq Quantum Partners With MIUUL to Expand Quantum Machine Learning Training in Turkey"><img alt="Bloq Quantum MIUUL partnership" class="webfeedsFeaturedVisual wp-post-image" height="685" src="https://thequantuminsider.com/wp-content/uplo...
PsiQuantum Strengthens Executive Leadership with New Appointments
<a href="https://thequantuminsider.com/2026/07/16/psiquantum-strengthens-executive-leadership-with-new-appointments/" rel="nofollow" title="PsiQuantum Strengthens Executive Leadership with New Appointments"><img alt="PsiQuantum executive appointments" class="webfeedsFeaturedVisual wp-post-image" height="718" src="https://thequantuminsider.com/wp-content/uploads/2026/07/2026-...
Unrouted Items
Locality of deep thermalisation through the lens of entanglement teleportation
Deep thermalisation characterises the emergence of universal quantum state ensembles on subsystems due to projective measurements on their complement. We study the notion of locality, or lack thereof, in this phenomenon by considering a subsystem partitioned into two disjoint subregions which remain causally disconnected at all times under unitary dynamics. We show that the...
Dynamic Entanglement Distribution for Multi-User and Multi-Protocol Quantum Networking
Dynamic entanglement distribution is a key requirement for scalable, multi-user and multi-protocol quantum networks. We demonstrate a metropolitan-scale entanglement-based quantum communication network enabled by a quantum reconfigurable optical add-drop multiplexer (q-ROADM), which dynamically distributes polarisation-entangled photon pairs from a broadband source to six us...
Additivity of minimum output entropies is a central problem in quantum information theory. Nonadditivity is known for every Rényi order $p>1$, at the von Neumann point $p=1$, and near $p=0$, while most of the interval $0<p<1$ has remained open. We prove that for every Rényi order $p$ satisfying either $p>3/4$ or $0\leq p<1/4$, there exist finite-dimensional projection-induce...
Quantum entanglement is the fundamental hallmark of quantum mechanics and a core resource for realizing long-distance quantum communication and scalable linear quantum computing. Accordingly, the precise detection and quantitative quantification of entanglement constitute a foundational and critical problem in quantum information theory. To date, researchers have proposed nu...
Driven-dissipative superconductivity in moiré heterostructure without attraction
Dissipative preparation of quantum order offers a route to superconductivity that does not rely on enhancing attractive interactions. Here we propose a driven-dissipative protocol to prepare superconductivity as a stationary state of a two-dimensional moiré heterostructure. The key ingredient is a bilayer moiré platform in which the layer degree of freedom acts as a pseudosp...
Fast two-dimensional tensor-network contraction via subspace iteration
The corner transfer matrix renormalization group (CTMRG) is one of the standard contraction methods for infinite projected entangled-pair states (iPEPS), but its computational cost is dominated by repeated truncated singular value decompositions (SVDs). We introduce subspace-iteration CTMRG (SI-CTMRG), a QR-based projector construction that replaces each large-matrix SVD wit...
Superadditivity for Entanglement-Assisted Communication
The entanglement-assisted capacity of a quantum channel admits an additive single-letter characterization, implying that joint encodings across channel uses cannot increase the ultimate communication rate. Here, we show that this additive picture does not extend to communication reliability. Specifically, we prove that the Petz-Rényi channel information can be strictly super...
Periodic orbits and quantum many-body scars in integrable spin chains
Quantum many-body scars provide an exception to generic thermalising dynamics, but their relation to integrability remains unclear. Here we apply the periodic-orbit framework to the integrable XYZ/XXZ spin-1/2 chain, developing an energy-resolved approach that enables us to locate and track periodic orbits across the spectrum. We identify families of scarred orbits and resol...
Quantum Lock-In Detection via Successive Adiabatic Evolution
In recent years, quantum lock-in detection has emerged as a promising technique to accurately detect weak signals submerged in background noise. However, the signal-to-noise ratio of existing protocols is severely limited by spectral leakage resulting from control operations implemented in pulse form. Here, we propose a general protocol for realizing quantum lock-in detectio...
A magnetic monopole in a superfluid bubble
Magnetic monopoles lie at the crossroads of gauge fields, topology, geometric phases, and charge quantization, yet they remain elusive as fundamental particles. Here we show that an emergent Dirac-monopole framework arises naturally from the dynamics of massive quantum vortices in a spherical superfluid shell. Their dynamics is formally equivalent to that of interacting char...
An experimental pathway towards an exact theory of strong coupling
We employ a mathematically equivalent form of the GKLS master equation to arrive at an exact theoretical description of a two-level system strongly coupled to the environment. The framework, while intuitive, shedding light on the physics of the problem, and agreeing with existing results, such as thermalisation to a non-canonical state, is based around three parameters that...
We investigate the Casimir effect for a massive real scalar field confined between two perfectly reflecting parallel plates in the presence of a position-dependent effective mass, a mechanism for coupling a scalar background to a scalar field. Exact normal modes are obtained by solving the corresponding Klein-Gordon equation, leading to a transverse energy spectrum that exhi...
We study a finite-time quantum information engine in which a two-level system is measured by a quantum harmonic oscillator acting as a meter and where useful work is extracted conditionally on the measurement outcome. Using multi-objective optimisation, we find a Pareto-optimal trade-off between extractable work and its fluctuations and show that reducing fluctuations entail...
Strong $O$-valued contextuality: ruling out discrete nondeterministic alternatives to quantum theory
Gleason's theorem identifies the Born rule via non-contextuality over an infinite continuous lattice of projectors, while its corollary the Kochen-Specker (KS) theorem rules out the specific class of deterministic ($\{0,1\}$-valued) noncontextual models using finite sets of projectors. Gleason's theorem also indicates the existence of KS-type finite vector constructions to r...
A Three-Point Continuous-Variable Quantum MacWilliams Identity
We construct the three-point continuous-variable (CV) quantum MacWilliams identity, extending the two-point framework of Burchards, and give its closed-form integral kernel. Its configuration space carries a symplectic invariant with no classical counterpart, which encodes the GKP quantization condition and a three-point sign phase. Using the identity, we derive the semidefi...
Star-triangle duality estimates for triangular and honeycomb permutation models
We study a duality analysis in conjunction with the star-triangle transformation for symmetric-group permutation models on the triangular and honeycomb lattices. The calculation is motivated by the permutation-model description of random tensor networks and by earlier duality analyses of replicated spin glasses. The essential point is that the finite-basis unit is not a bare...
A Geometric Theory of Fermion-to-Qubit Encodings
Exact fermion to qubit transformations are conventionally regarded as algorithmic tools that translate many-body Hamiltonians into qubit representations for quantum simulation. Here we show that they also define intrinsic geometric representations whose structure encodes physically meaningful information beyond spectral equivalence. We develop a geometric framework based on...
We give the definitive proof that the Dirac Quantum Cellular Automaton (QCA) used for both quantum simulation and algorithmic foundations of Quantum Field Theory (QFT), and especially of Quantum Electrodynamics (QED), as put forward in References https://doi.org/10.1007/s11128-019-2555-4 and https://doi.org/10.22331/q-2023-11-08-1179, does exhibit Fermion Doubling (FD), albe...
Limits on Broadcasting Genuine Multipartite Entanglement in Quantum Networks
We establish operational limits on the broadcasting of genuine multipartite entanglement (GME) in quantum networks. Using a distributed protocol in which each of N parties locally implements optimal 1 $\to$ 2 cloning via beam-splitter interactions, we derive exact expressions for the broadcast fidelity of Greenberger-Horne-Zeilinger (GHZ), W states, and Cluster states in a l...
Quantum Remote Implementation of Hybrid Operations on Hyperstates Using Hyperentangled States
Quantum remote control, also known as quantum remote implementation of an operator (QRIO), enables the remote manipulation of an arbitrary quantum state by implementing a desired quantum operation at a distant location. Significant progress has recently been made in developing QRIO protocols and their variants. Most existing schemes employ hyperentangled states where entangl...
Robustness of periodicity in Grover walks under a magnetic vector potential
We study the effect of magnetic vector potentials on periodic Grover walks on finite graphs. The magnetic vector potential is introduced through the framework of quantum graphs, which induces the Grover walk as a special case. We regard the vector potential as a perturbation of a periodic Grover walk and investigate the robustness of its periodicity. Our analysis reveals tha...
Electrons Hopping across a Molecular Network: Spectra and Symmetries
We investigate interacting spinless electrons on finite molecular ring networks described by a tight-binding Hubbard Hamiltonian. The interplay between lattice geometry, Coulomb interactions and discrete symmetries is analysed for rings with $L=3,4,5,6$ nodes, filled with one, two or three electrons. Special attention is devoted to the role of the network symmetries in deter...
Tuning the universality class of a quantum process by Trotterization
We numerically analyze a discretized version of the quantum contact process, a non-equilibrium model having a competition between a coherent infection process and a dissipative recovery process. Previously, the continuous-time version has been discussed to have a phase transition in a novel quantum universality class, while experimental investigations of a related process ha...
Emergence and Recovery of (logical) Kochen-Specker Contextuality via Hamilton Extension
Logical Kochen-Specker (KS) contextuality is widely regarded as an intrinsic property of specially constructed measurement configurations. We show instead that it can emerge from KS-colorable vector sets through a constructive procedure we call the Hamilton extension. Defined for four-dimensional vector sets, the Hamilton extension associates each real vector with a measurem...
Adaptive Entanglement Management in Quantum Multi-Core Architectures
Scalable quantum computing architectures increasingly rely on multi-core designs, where qubits are distributed across multiple processing cores interconnected through a quantum Network-on-Chip (NoC). In such systems, inter-core communication is typically realized through entanglement-assisted quantum teleportation, making efficient entanglement generation critical for perfor...
No Finite NPA Level Characterizes the Complete Quantum Set in the Simplest Bell Scenario
The Navascués--Pironio--Acín (NPA) hierarchy gives the standard semidefinite outer approximations to quantum behaviors. Whether \emph{any} finite level can already equal the quantum set has remained open even in the bipartite scenario with two binary measurements per party. We demonstrate that \emph{no finite level} is exact. For the symmetric doubly tilted CHSH functional $...
We investigate spin-resolved decay of an axion-like particle (ALP) into an electron--positron pair in an intense laser field. Using the Baier--Katkov quasiclassical operator formalism and the locally constant field approximation, we derive a compact analytic rate retaining finite ALP-mass effects and the lepton spin degrees of freedom. In the massless limit, the spin-summed...
Guest Post: Patentability of Quantum Computing Inventions
<a href="https://thequantuminsider.com/2026/07/18/guest-post-patentability-of-quantum-computing-inventions/" rel="nofollow" title="Guest Post: Patentability of Quantum Computing Inventions"><img alt="Detailed close-up of a patent agreement document on a polished wooden table." class="webfeedsFeaturedVisual wp-post-image" height="1067" src="https://thequantuminsider.com/wp-co...
QTREX Quantum Appoints Dr. Shlomit Chappel-Ram as Independent Director
<a href="https://thequantuminsider.com/2026/07/17/qtrex-quantum-appoints-shlomit-chappel-ram-independent-director/" rel="nofollow" title="QTREX Quantum Appoints Dr. Shlomit Chappel-Ram as Independent Director"><img alt="QTREX Quantum logo" class="webfeedsFeaturedVisual wp-post-image" height="715" src="https://thequantuminsider.com/wp-content/uploads/2026/07/WW.png" style="di...
Braided, Exotic Particles Could Build Reliable, Universal Quantum Computers
<a href="https://thequantuminsider.com/2026/07/17/braided-exotic-particles-could-build-reliable-universal-quantum-computers/" rel="nofollow" title="Braided, Exotic Particles Could Build Reliable, Universal Quantum Computers"><img alt="researcher" class="webfeedsFeaturedVisual wp-post-image" height="720" src="https://thequantuminsider.com/wp-content/uploads/2026/07/RubenVerre...
<a href="https://thequantuminsider.com/2026/07/16/quantum-source-robust-entangled-photon-source-quantum-networks/" rel="nofollow" title="Quantum Source and Israel’s DDR&D Demonstrate Robust Single-Atom Source for Real-World Quantum Communication"><img alt="Quantum Source" class="webfeedsFeaturedVisual wp-post-image" height="694" src="https://thequantuminsider.com/wp-cont...
Digital Catapult Welcomes New Cohort to Explore Industrial Quantum Applications
<a href="https://thequantuminsider.com/2026/07/16/digital-catapult-quantum-technology-access-programme-cohort/" rel="nofollow" title="Digital Catapult Welcomes New Cohort to Explore Industrial Quantum Applications"><img alt="Digital Catapult logo - TQI" class="webfeedsFeaturedVisual wp-post-image" height="692" src="https://thequantuminsider.com/wp-content/uploads/2026/07/202...
Chips
43 chip stack items collected on 2026-07-19; 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
<p>Intel's expansion; Cadence AI super agent for PCB, advanced packaging; photonics fab wars; earlier Yongin fab; German funding; new CHIPS Act award; HBM standard; Quadric funding; AMS acquisition; earnings; Rapidus teams up.</p> <p>The post <a href="https://semiengineering.com/chip-industry-week-in-review-147/">Chip Industry Week In Review</a> appeared first on <a href="ht...
Foundry, Tools, and Capex
Can Fine-Pitch Hybrid Bonding Go High Volume?
<p>Hybrid bonding already works in production, but finer-pitch die-to-wafer integration must preserve fab-level surface and alignment control at back-end volumes and costs. </p> <p>The post <a href="https://semiengineering.com/can-fine-pitch-hybrid-bonding-go-high-volume/">Can Fine-Pitch Hybrid Bonding Go High Volume?</a> appeared first on <a href="https://semiengineering.co...
<p>PCIe ATS verification; physical AI; adopting AI EDA; custom AMBA Viz plugins; V2G; fab construction workforce.</p> <p>The post <a href="https://semiengineering.com/blog-review-july-15-3/">Blog Review: July 15</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
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
Why Metal TIM Warpage Simulations Fail—And How To Fix Them
<p>Characterizing the properties of thermal interface materials under actual application conditions. </p> <p>The post <a href="https://semiengineering.com/why-metal-tim-warpage-simulations-fail-and-how-to-fix-them/">Why Metal TIM Warpage Simulations Fail—And How To Fix Them</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
From Feature-Scale Simulation To Digital Twins: Helping Process Engineers Tackle Growing Complexity
<p>Physics-grounded workflows help process teams to explore, understand, and act on a rapidly expanding innovation space.</p> <p>The post <a href="https://semiengineering.com/from-feature-scale-simulation-to-digital-twins-helping-process-engineers-tackle-growing-complexity/">From Feature-Scale Simulation To Digital Twins: Helping Process Engineers Tackle Growing Complexity</...
Optimizing The Nano-TSV-to-BPR Connection In Backside Power Networks
<p>A realistic virtual model uncovers the impact of rounded corners on sensitivity to overlay-induced resistance. </p> <p>The post <a href="https://semiengineering.com/optimizing-the-nano-tsv-to-bpr-connection-in-backside-power-networks/">Optimizing The Nano-TSV-to-BPR Connection In Backside Power Networks</a> appeared first on <a href="https://semiengineering.com">Semicondu...
New Nonvolatile Memory Winners Emerge
<p>RRAM, MRAM have promising futures, while FeRAM lurks, and UltraRAM plans a debut. </p> <p>The post <a href="https://semiengineering.com/new-nonvolatile-memory-winners-emerge/">New Nonvolatile Memory Winners Emerge</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Accelerating Sustainability With Smart Manufacturing
<p>An Industry 4.0 technology roadmap for semiconductor device makers that covers carbon emissions, water, and hazardous waste.</p> <p>The post <a href="https://semiengineering.com/accelerating-sustainability-with-smart-manufacturing/">Accelerating Sustainability With Smart Manufacturing</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a...
Power
23 power layer items collected on 2026-07-19; 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 to deliver SF₆-free grid hubs for Stromnetz Berlin
BERLIN, Germany, (16 July 2026): GE Vernova Inc. (NYSE: GEV) today announced it has been awarded two contracts by Stromnetz Berlin GmbH for the design, delivery and installation of two new high-voltage electrical substations in Wittenau and Neukölln. These grid nodes form part of Berlin’s high
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,
Unrouted Items
Global liquefied natural gas trade volumes reached record high in 2025
Global liquefied natural gas (LNG) trade volumes increased 5.4% to a record 56.3 billion cubic feet per day last year (Bcf/d), driven largely by U.S. LNG export capacity expanding to meet growing demand, according to a recent report from the International Group of Liquefied Natural Gas Importers (GIIGNL). Global LNG trade has slowed this year following the closure of the key...
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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