Daily brief
August 20, 2026.
60 quantum research items collected on 2026-08-20; hardware, control, and industry signals routed.
Quantum
60 quantum research items collected on 2026-08-20; hardware, control, and industry signals routed.Hardware and Error Correction
Adding links generally improves classical transport by increasing the number of available paths. We show that coherent quantum transport can display the opposite behavior. Using continuous-time quantum walks on a percolated hierarchical small-world network, we identify a coherent overconnectivity penalty: root-to-boundary transport is maximized at intermediate bond probabili...
The practical implementation of quantum algorithms on noisy intermediate-scale quantum devices encounters operational limitations due to decoherence and other sources of noise inherent in real hardware. To mitigate these errors while preserving the original functionality of the algorithm, shorter quantum circuits are therefore preferred. This motivates the development of eff...
Quantum Magic in High Energy Collision
Quantum magic, or nonstabilizerness, is a quantum resource associated with computational advantage in quantum systems. In high energy collisions, Quantum Electrodynamics (QED) is inefficient at generating magic while the weak mixing angle, a fundamental constant of nature, sits near a value that minimizes magic production in charged-lepton scattering. These observations were...
Realizing Logical Diagonal Gates via Transversal Physical $Z$-Rotations in CSS Codes
Calderbank-Shor-Steane (CSS) codes, constructed from nested classical codes $C_2 \subseteq C_1$, are typically optimized for good code parameters. However, practical quantum computing equally demands fault-tolerant logical gates. In this work, we characterize nested pairs $(C_1, C_2)$ whose resulting CSS codes realize a target logical diagonal gate via transversal physical $...
RushHour: A Dynamically Reconfigurable Lattice-Surgery Architecture
Practical fault-tolerant quantum computing (FTQC) requires efficient lattice surgery (LS), so that large algorithms fit on resource-constrained quantum chips. Existing approaches, however, are rigid: qubits, routing space, and resource states are allocated ahead of execution, which prevents running on small chips, leaves statically scheduled executions with large time overhe...
Subsystem Symmetries and Fracton Models in Quantum Error Correction
Constructing new quantum codes and understanding their error resilience are central challenges in the development of robust quantum memories. Topological codes are particularly promising due to their favorable error-correcting properties and their connections to phases of matter in many-body physics. In this thesis, we explore the interplay between classical Ising models and...
An ultra-bright, highly-scalable, squeezed light source for hybrid quantum photonics
Hybrid quantum photonics seeks to combine the complementary advantages of continuous- and discrete-variable quantum optics. This typically entails photon-counting measurements on entangled states generated by interfering many single-mode squeezed-vacuum (SMSV) states. However, because conventional photon-counting schemes are mode-insensitive, it is critical that the SMSV sta...
AlphaClifford: Efficient Clifford Synthesis and Transpilation with Model-based RL
Clifford circuits play a foundational role in quantum computing, particularly due to their importance in quantum error correction and fault-tolerant logical synthesis. While these circuits can be efficiently simulated and represented as symplectic matrices, standard synthesis methods-such as the Aaronson-Gottesman algorithm-often yield sub-optimal circuits with excessively h...
Control and Quantum-AI Integration
Bernstein-Vazirani Networks: Quantum Machine Learning by Interference
We introduce Bernstein-Vazirani Networks (BVNs), a non-variational quantum machine learning framework that leverages quantum interference for supervised learning, demonstrated on vision and representation learning tasks. In their standard form, BVNs follow the principle of quantum Fourier sampling: labelled data are placed in superposition and interfered in the Fourier basis...
We show that entanglement-generation speed across a fixed network interface is governed by two distinct resources: the entangling capacity of the interface itself and the ability of the surrounding architecture to replenish it with fresh degrees of freedom. For fermionic Gaussian dynamics, we derive the coefficient-sharp bound $\sum_k|\dotθ_k|\leq\frac12\|K_{AB}\|_*$ on the...
Quantum Tensor Network Learning with DMRG
Tensor Networks are a relatively new machine learning approach. The architectures proposed initially are inspired by approaches from quantum many-body physics simulations. One common layout is the matrix product state (MPS) also known as a tensor train optimized with gradient descent techniques. We introduce a global normalization condition, so that the MPS represents a quan...
For local hidden-variable accounts of the CHSH experiment that are faithful -- reproducing the observed singles and coincidence rates and unbiased marginals of a polarization singlet with symmetric detector efficiency $η_{\rm eff}$ -- I determine the minimal measurement dependence $M$ (Hall's variational measure) needed to achieve a CHSH value $S$. Linear programming over al...
The threat quantum computers pose to classical public-key cryptography motivates the deployment of quantum-safe communication for critical infrastructure such as healthcare, finance, and energy systems. Quantum key distribution (QKD) and post-quantum cryptography (PQC) offer complementary security guarantees, information-theoretic key exchange and quantum-resistant end-to-en...
Machine-learned models are replacing first-principles calculations across materials discovery, and physical symmetry is the central guarantee built into them. The debate over how much symmetry to hard-wire rather than learn has run on rotations, where a symmetry error is an approximation error. Some constraints are exact: symmetry forces certain property tensors to exactly z...
Direct fidelity estimation through joint fiducial grouping
Fault-tolerant quantum computation hinges on the requirement for low physical error rates. Reaching below threshold regime requires the accounting of circuit dependent noise, that is inherent to the execution context in which a quantum gate is usually embedded. Direct fidelity estimation is a technique that offers natural context preservation as it solely requires the insert...
Sampling isometric tensor network states with monitored quantum circuits
Projected entangled pair states (PEPS) provide an efficient variational ansatz for two-dimensional quantum phases, but computing observables remains challenging because PEPS contraction is generally costly. Here, we parameterize two-dimensional quantum states using variational PEPS subject to isometric constraints and map the resulting ansatz onto monitored quantum circuits,...
Commercial and Industry Context
Electrostriction in a Bose-Einstein Condensate of Dipolar Molecules
The recent creation of a Bose-Einstein condensate (BEC) of dipolar molecules has opened a new frontier for many-body quantum systems in which dipolar interactions can drive novel self-organization phenomena. Here, we observe electrostriction in a molecular BEC, an elliptical deformation driven by anisotropic dipolar interactions. We use double microwave dressing, involving $...
3D trapping of a meta-atom in an intensity minimum
High-refractive-index particles have recently attracted a growing interest in optical levitation experiments, offering the ability to further engineer optical forces through electromagnetic Mie resonances. Unlike standard silica particles, which are predominantly trapped in the dipole regime and exhibit trap frequencies mainly determined by material density, resonant meta-at...
Diraq Opens First U.S. Quantum Laboratory in Chicago
<a href="https://thequantuminsider.com/2026/08/19/diraq-opens-first-u-s-quantum-laboratory-in-chicago/" rel="nofollow" title="Diraq Opens First U.S. Quantum Laboratory in Chicago "><img alt="Diraq" class="webfeedsFeaturedVisual wp-post-image" height="887" src="https://thequantuminsider.com/wp-content/uploads/2026/08/Diraq-1.png" style="display: block; margin: auto; margin-bo...
IBM Connects Two Modular Cryogenic Systems for Quantum Computing
<a href="https://thequantuminsider.com/2026/08/19/ibm-connects-two-modular-cryogenic-systems-quantum-computing/" rel="nofollow" title="IBM Connects Two Modular Cryogenic Systems for Quantum Computing"><img alt="IBM’s scalable and modular cryogenic system" class="webfeedsFeaturedVisual wp-post-image" height="710" src="https://thequantuminsider.com/wp-content/uploads/2026/08/2...
New Tantalum Process Could Ease Manufacturing of Superconducting Quantum Chips
<a href="https://thequantuminsider.com/2026/08/19/new-tantalum-process-could-ease-manufacturing-of-superconducting-quantum-chips/" rel="nofollow" title="New Tantalum Process Could Ease Manufacturing of Superconducting Quantum Chips"><img alt="Cornell" class="webfeedsFeaturedVisual wp-post-image" height="641" src="https://thequantuminsider.com/wp-content/uploads/2026/08/0818_...
IonQ and CMC Microsystems Announce Collaboration to Expand Cloud Quantum Computing Access in Canada
<a href="https://thequantuminsider.com/2026/08/19/ionq-and-cmc-microsystems-announce-collaboration-to-expand-cloud-quantum-computing-access-in-canada/" rel="nofollow" title="IonQ and CMC Microsystems Announce Collaboration to Expand Cloud Quantum Computing Access in Canada"><img alt="IonQ" class="webfeedsFeaturedVisual wp-post-image" height="941" src="https://thequantuminsid...
Unrouted Items
State--Generator Geometry of Open Quantum Systems: Compatibility and Covariant Transport
We develop a geometry for transporting stationary-state response across the control space of an open quantum system. A physical model is represented by the ordered pair of its stationary state and dynamical generator. Embedding these pairs in a common ambient space induces a metric, a response one-form, and a closed two-form on the control manifold. The ambient space admits...
Quantum Speedups Require Structure or Depth
One of the most basic conjectures in quantum complexity theory states that every $t$-query quantum algorithm can be simulated on most inputs by a $\mathrm{poly}(t)$-query classical algorithm. If true, this would provide broad justification for the need for structure in quantum speedups. We settle this conjecture for parallel quantum algorithms, showing that every $t$-query $...
Entanglement battery and entanglement catalyst in local state discrimination problems
In this work, we study the limitations and advantages of using entanglement battery and entanglement catalyst in local state discrimination problems. We consider both cases of such tools, i.e., exact and approximate cases. We show that to distinguish any set of orthogonal pure bipartite entangled states perfectly under local operations and classical communication using an (e...
Non-Local Search-to-Decision Reduction over F2
Non-local search-to-decision asks whether two noncommunicating parties, given the two shares of a bipartite encoding of a uniformly random string $x\in \mathbb{F}_2^n$, can both predict the same random parity $\langle r,x\rangle$ without there also being local measurements with which both parties recover $x$. We prove that if their optimal probability of both recovering $x$...
Distinct Modes of Quantum Information Transfer in Power-Law Long-Range Spin Networks
We identify different regimes of quantum state transfer in long-range coupled spin-$\frac{1}{2}$ systems, where naturally occurring power-law interactions enable rapid, high-fidelity transfer with minimal engineering. Across a broad range of interaction profiles, from effectively nearest-neighbour coupling to Coulomb interactions, we show how long-range connectivity fundamen...
Machine-learned exchange--correlation (XC) functionals offer a route to improve Kohn--Sham density-functional theory without incurring the cost of explicitly correlated electronic-structure methods. Their use in production simulation codes, however, requires a well-defined mapping between the learned model and the host-code density representation. We formulate and implement...
In the simplest approximation, the reduced dynamics of a quantum system $S$ interacting with its environment $E$ is considered to be given by a completely positive map. But, in general, this is not the case. In fact, the reduced dynamics of the system in not even linear, in general. Whether the reduced dynamics is linear or not is determined by two factors: the set of possib...
Quantum-Enhanced Atomic Sensor via Spin Nonequilibrium Criticality
The sensitivity of quantum sensors is fundamentally constrained by the standard quantum limit (SQL) arising from intrinsic quantum fluctuations. While non-classical resources like squeezing or entanglement can surpass this limit, their utility is often restricted by the extreme fragility of entangled states and the complexity of their preparation. Quantum criticality offers...
Real Classical Shadows with Noise
The real classical shadows protocol of West et al. replaces the unitary (Clifford) ensemble of the Huang--Kueng--Preskill scheme by the orthogonal (real Clifford) ensemble, and for symmetric observables achieves strictly smaller estimator variances: a factor approaching two for global evolution and an exponential factor $(3/2)^k$ for $k$-local real Pauli observables. Real ha...
Copy-Protection with Correlated Challenges: Point Functions and More via Decisional Coset Monogamy
Copy-protection encodes a functionality in a reusable quantum state that cannot be split into two states (freeloader adversaries) which remain simultaneously useful. Prior plain-model results handle only independently sampled challenges; the more natural identical-challenge notion, also tied to unclonable bits and copy-protection of point functions, has remained open. We str...
Quantum Mixedness Testing with Pauli Measurements
We consider a fundamental problem of \emph{mixedness testing}: Given $n$ copies of an $N$-qubit state $ρ$, determine whether $ρ= \mathbb{I}_d/d$ or $\|ρ-\mathbb{I}_d/d\|_1 \geq \varepsilon$ with high probability, where $d = 2^N$. In particular, we focus on performing this task in the practical setting of single-qubit measurements, where measurements are prepared independentl...
Interior skin focusing and directional mirror transfer in a graded non-Hermitian Krawtchouk network
Spatially graded nonreciprocity can move skin weight away from a boundary, but it does not generally preserve a real commensurate spectrum or analytically controlled dynamics. We study a finite open Krawtchouk network with oppositely graded directed hoppings. For a broad intermediate range of asymmetries, their local imaginary gauge field changes sign in the bulk, and its ac...
On the quantum communication complexity of total functions
We present a total function with a polylogarithmic two-message quantum protocol, whereas every randomised protocol, even with arbitrarily many rounds, requires polynomial communication.
Robustness of spin state superpositions for noisy quantum metrology
Quantum metrology faces major challenges in noisy environments, where decoherence rapidly degrades useful quantum resources. We investigate the dynamics of the precision limits given by the quantum Fisher information (QFI) for phase estimation under spatially correlated dephasing. We characterize the dynamics of the QFI by the sensitivity and degradation indicators that can...
Seeded SU(1,1) interferometry for Fourier-domain optical coherence tomography
We demonstrate Fourier-domain optical coherence tomography (FD-OCT) based on a seeded SU(1,1) interferometer. Multilayer objects are probed with broadband light centered at 1550nm, while depth-resolved 3D images are reconstructed from photon flux measurements centered at 810nm. We show that, in the low parametric-gain regime, seeding increases the photon flux, enabling volum...
Technical Proposal for the Atom Interferometer CERN Experiment (AICE) Facility
We present the technical proposal for the Atom Interferometer CERN Experiment (AICE), a $\mathcal{O}(100)$ m vertical atom interferometer to be installed against the wall of the PX46 access shaft to the LHC. AICE is conceived as a versatile and flexible long-baseline atom-interferometry facility whose primary scientific goal is probing for bosonic ultralight dark matter (ULD...
Genuine Tripartite Entanglement Selects Gauge-Invariant Theories
Recent studies have explored whether physical constants and symmetries can be selected by extremizing bipartite entanglement entropy. We extend this approach to a three-particle setting. Specifically, we consider a $2+1$-particle system in which particles $B$ and $C$ are initially entangled, and then particles $A$ and $B$ scatter without the direct participation of particle...
Nonlinear collective dynamics and microwave comb generation in a diamond maser
Optically pumped room temperature masers are a promising platform for driven dissipative spin photon physics beyond steady state emission. Here we observe a sequence of dynamical thresholds in a room temperature nitrogen vacancy diamond maser as the optical pump is increased above the conventional masing threshold. The first threshold yields narrow-line continuous wave emiss...
Experimental zero-added-loss multiplexing Bell-pair source for long-haul quantum networks
Boosting the communication rate of quantum networks is a central challenge in quantum information science. Recently, an efficient entanglement distribution scheme employing quasi-deterministic Bell-pair sources based on time-frequency multiplexing, referred to as zero-added-loss multiplexing~(ZALM), has been proposed. Its implementation, however, requires high-fidelity entan...
(Almost) quadruply optimal unitary designs in 1D
We construct $n$-qubit approximate unitary $k$-designs in 1D systems, achieving circuit depth $O(\log(n/\varepsilon) + k\log k)$ with relative error $\varepsilon$ and requiring $O(nk\log k)$ magic gates. This matches existing lower bounds $Ω(\log(n/\varepsilon) + k)$ for circuit depth, and $\widetildeΩ(nk)$ for the required number of $T$ gates, up to a $\log k$ factor, achie...
Branching (Almost) Everywhere And All at Once
It is sometimes said that a reason to prefer Everettian quantum mechanics is that it allows one to avoid the kind of spooky action at a distance that is a consequence of quantum entanglement according to other approaches. There is a straightforward argument to show EQM has this virtue, however some advocates argue that this requires we see branching as a local causal process...
Exact Matching-Polynomial Solution of the Periodic Baxter-Fendley $Z_N$ Clock Chain
The periodic non-Hermitian Baxter-Fendley $Z_N$ clock chain has lacked a complete finite-size spectral solution, whereas its open-chain counterpart admits a solution in terms of independent quasienergies. For the periodic model we show that the operator-valued matching polynomial associated with its cyclic Weyl algebra simultaneously generates a set of conserved quantities,...
Inverse Feshbach's problem: Solvability and solutions
Given a certain specific, $M$ by $M$ matrix form of the Feshbach's effective (i.e., energy-dependent) Hamiltonian $H^{(M)}_{e\!f\!f}(E)$, the inverse-problem reconstruction of the full-space, $N$ by $N$ matrix Hamiltonian $H^{(N)}$ is considered and reduced to the solution of a coupled set of polynomial algebraic equations. Using computer-assisted symbolic manipulations, an...
Know Your Qubits, Know Your Users: Personas for Quantum Software
The advancement of quantum hardware and the intricacies of quantum computing make well-designed quantum software increasingly necessary. Due to the interdisciplinarity of the field, it is crucial to understand the perspectives and specific needs of involved stakeholders, for example, to balance the desired level of abstraction with the exposition of (hardware)-specific detai...
Superfast hole spin qubits enabled by uniaxial strain-boosted spin-orbit coupling
Two-dimensional (2D) electron/hole gases confined in semiconductor heterostructures suffer from weak Rashba spin-orbit coupling (SOC) for manipulating spin degreee of freedom via an electric rather than a magnetic field. Here, we show that complementary metal-oxide-semiconductor technology-accessible strain could substantially enhance the linear Rashba SOC of the top hole su...
Unified Strong-Field Dynamics Simulations from Atoms to Heterostructures
We present \textsc{TDSE-Z}, a high-performance open-source framework for strong-field quantum dynamics in atomic, molecular, and semiconductor effective-mass systems. The core engine implements a weak-form Galerkin discretisation of the Hermitian BenDaniel-Duke operator, $\hat{T}_{\mathrm{BDD}} = -\frac{1}{2}\nabla\cdot(m^{-1}(\mathbf{r})\nabla)$, on geometry-adapted B-splin...
GMV Builds Broad Quantum Portfolio Across Computing, Space, Communications and Cybersecurity
<a href="https://thequantuminsider.com/2026/08/20/gmv-builds-broad-quantum-portfolio-across-computing-space-communications-and-cybersecurity/" rel="nofollow" title="GMV Builds Broad Quantum Portfolio Across Computing, Space, Communications and Cybersecurity"><img alt="GMV" class="webfeedsFeaturedVisual wp-post-image" height="516" src="https://thequantuminsider.com/wp-content...
Caltech Team Uses Quantum Simulator to Probe Universal Rules of Quantum Matter
<a href="https://thequantuminsider.com/2026/08/20/caltech-team-uses-quantum-simulator-to-probe-universal-rules-of-quantum-matter/" rel="nofollow" title="Caltech Team Uses Quantum Simulator to Probe Universal Rules of Quantum Matter"><img alt="quantum field" class="webfeedsFeaturedVisual wp-post-image" height="300" src="https://thequantuminsider.com/wp-content/uploads/2026/08...
Korean Researchers Identifies Cause of ‘Beat’ Signal in Topological Insulator Nanowires
<a href="https://thequantuminsider.com/2026/08/19/korean-researchers-source-beat-signal-topological-insulator-nanowires/" rel="nofollow" title="Korean Researchers Identifies Cause of ‘Beat’ Signal in Topological Insulator Nanowires"><img alt="Researchers in South Korea" class="webfeedsFeaturedVisual wp-post-image" height="690" src="https://thequantuminsider.com/w...
EigenQ and Silicon Valley Acquisition Corp Submit Draft S-4 for Proposed Business Combination
<a href="https://thequantuminsider.com/2026/08/19/eigenq-silicon-valley-acquisition-corp-advance-business-combination/" rel="nofollow" title="EigenQ and Silicon Valley Acquisition Corp Submit Draft S-4 for Proposed Business Combination"><img alt="EigenQ logo" class="webfeedsFeaturedVisual wp-post-image" height="709" src="https://thequantuminsider.com/wp-content/uploads/2026/...
Ideon Technologies Joins Consortium for Laser-Driven Muon Imaging
<a href="https://thequantuminsider.com/2026/08/19/ideon-technologies-laser-driven-muon-imaging-consortium/" rel="nofollow" title="Ideon Technologies Joins Consortium for Laser-Driven Muon Imaging"><img alt="Ideon Technologies" class="webfeedsFeaturedVisual wp-post-image" height="716" src="https://thequantuminsider.com/wp-content/uploads/2026/08/2026-08-19_15-01.png" style="d...
Chips
45 chip stack items collected on 2026-08-20; 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 Tesla P100 Supercharges HPC Applications by More Than 30X
ISC16 - To meet the unprecedented computational demands placed on modern data centers, NVIDIA today introduced the NVIDIA® Tesla® P100 GPU accelerator for PCIe servers, which delivers massive...
Memory and Advanced Packaging
How Will The Custom HBM Business Work?
<p>There is no one-size-fits-all — yet. </p> <p>The post <a href="https://semiengineering.com/how-will-the-custom-hbm-business-work/">How Will The Custom HBM Business Work?</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Chip Industry Technical Paper Roundup: Aug. 18
<p>2D CFET scaling; PIM chiplet voltage-droop control; advanced-node layout repair; lithography defect prediction; 3D-IC failure analysis; chiplet and interposer optimization; 4H-SiC wafer slicing.</p> <p>The post <a href="https://semiengineering.com/chip-industry-technical-paper-roundup-aug-18/">Chip Industry Technical Paper Roundup: Aug. 18</a> appeared first on <a href="h...
Foundry, Tools, and Capex
Don’t Scrap It, Save It: Feedforward Control For Modern Semiconductor Manufacturing
<p>By measuring each wafer after lithography and adjusting the next etch step, fabs can pull more wafers back into spec. </p> <p>The post <a href="https://semiengineering.com/dont-scrap-it-save-it-feedforward-control-for-modern-semiconductor-manufacturing/">Don’t Scrap It, Save It: Feedforward Control For Modern Semiconductor Manufacturing</a> appeared first on <a href...
Unrouted Items
SK Group and NVIDIA Expand Strategic Partnership Across AI Factories and Next-Generation Memory
SK Group and NVIDIA today announced plans for a $500-billion-plus comprehensive partnership to establish AI infrastructure serving the surging demand for global compute. The two sides signed letters of intent to formalize the agreement, which spans from AI factory construction to AI memory supply.
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:/...
AAI 2026: AMD Delivers Full-Stack Compute for the Agentic AI Era
AMD Commits up to £2 Billion to Accelerate AI Innovation and Research in the United Kingdom
From Research To Production: Collaboration Is Key For Semiconductor Innovation
<p>Semiconductor R&D depends on access to high-quality data, realistic process assumptions, and practical learning from silicon. </p> <p>The post <a href="https://semiengineering.com/from-research-to-production-collaboration-is-key-for-semiconductor-innovation/">From Research To Production: Collaboration Is Key For Semiconductor Innovation</a> appeared first on <a href=...
Reducing Scope 3 Value Chain Emissions For Customers Through Sustainability And Innovation
<p>Reducing manufacturing-related emissions may support lowering the embedded carbon footprint of the chips customers use in their products. </p> <p>The post <a href="https://semiengineering.com/reducing-scope-3-value-chain-emissions-for-customers-through-sustainability-and-innovation/">Reducing Scope 3 Value Chain Emissions For Customers Through Sustainability And Innovatio...
CFETs Forge Better Connections
<p>Performance advantage may come down to material choices and precise interconnect decisions.</p> <p>The post <a href="https://semiengineering.com/cfets-forge-better-connections/">CFETs Forge Better Connections</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
<p>Memory tagging; digital twin of the Moon; packaging moves front-and-center; streaming sensor data.</p> <p>The post <a href="https://semiengineering.com/blog-review-aug-19-3/">Blog Review: Aug. 19</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Power
21 power layer items collected on 2026-08-20; data center load, grid, generation, and cooling signals routed.Data Center Power Demand
Battery storage capacity averaged 70% growth over the last three years
Utility-scale battery storage capacity in the United States increased significantly during the last three years, with an annual average growth rate of 70%. By the end of 2025, the U.S. power system had operational battery storage capacity of 43.6 gigawatts (GW). During the first six months of 2026, operators added another 8.3 GW of battery storage capacity, reaching nearly 5...
New York imports more electricity from Canada after high-voltage transmission line opens
On July 3, 2026, the New York Independent System Operator (NYISO) imported 52 gigawatthours (GWh) of electricity from Canada, the most traded between the two areas since January 2025. Some of the imported electricity flowed along the new Champlain Hudson Power Express (CHPE) transmission line between Quebec, Canada, and New York City, which officially reached commercial oper...
France, Paris, (August 20, 2026) - GE Vernova Inc. (NYSE: GEV) today announced its plans for CIGRE Paris 2026, one of the world’s leading gatherings for electricity transmission and power-system experts, taking place August 23–28. Electricity demand is accelerating around the world, driven by
Grid and Generation
Hourly peak load in ERCOT set a new record, exceeding 91 GW on July 22
Hourly peak load in the Electric Reliability Council of Texas (ERCOT), the regional transmission organization serving most of Texas, reached a record 91.1 gigawatts (GW) on July 22, 2026, according to data reported to us for our Hourly Electric Grid Monitor.
SILVES, Brazil — [August 19th, 2026] — GE Vernova Inc. (NYSE: GEV) and Eneva, the largest private natural gas operator in Brazil, celebrated the start of commercial operation of the Azulão I thermal power plant, located in Silves, approximately 330 kilometers (205 miles) from Manaus.
New Delhi, India (August 4, 2026) – GE Vernova Inc. (NYSE: GEV) announced today that it has signed an agreement* with Enfinity Global to supply 43 of its 3.8 MW–154m** onshore wind turbines for their Fatehgarh Wind Farm in Rajasthan, India. Deliveries for the project are expected to begin
GE Vernova expands Pennsylvania manufacturing facility to strengthen U.S. grid supply chain
CHARLEROI, Pa., (July 30, 2026) – GE Vernova (NYSE: GEV) today announced an expansion of its Power Transmission manufacturing facility in Charleroi, Pennsylvania, which produces high-voltage circuit breakers, switchgear products, and instrument transformers. By
HONOLULU, (July 20, 2026) – GE Vernova Inc. (NYSE: GEV) today announced it has secured a contract with Hawaiian Electric (HECO), the electric public utility in Hawaii, to supply six LM6000VELOX* aeroderivative package units to repower the aging oil-fired steam turbines at its Waiau
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
Unrouted Items
Energia Costa Azul, Mexico's second LNG terminal, shipped first cargo
Energia Costa Azul, the second liquefied natural gas (LNG) export facility in Mexico, shipped its initial cargo from Phase 1 of the terminal on July 8, according to the project developer. The completion of the project adds 0.4 billion cubic feet per day (Bcf/d) of nominal export capacity from a single train, tripling Mexico's LNG export capacity. The facility is the first te...
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...
CHEVY CHASE, Maryland and WILMINGTON, North Carolina (August 13, 2026) – Blue Energy, a vertically integrated deployment platform for financeable, prefabricated nuclear power plants and GE Vernova Hitachi Nuclear Energy (GVH), today announced the signing of an agreement that launches the
Paris, FRANCE (July 28, 2026) — First Hydro Company (joint venture between ENGIE and La Caisse), and GE Vernova Inc. (NYSE: GEV), announce the next phase of the modernization/replanting of the Dinorwig pumped storage hydropower plant in North Wales, UK. Under the agreement, GE Vernova is
GE Vernova modernizes its Veresegyház hub to boost energy independence and lean production lines
VERESEGYHÁZ, Hungary – July 27, 2026 — GE Vernova Inc. (NYSE: GEV) is proud to mark the 25th anniversary of its Veresegyház facility this year, celebrating a quarter-century of excellence as the company’s largest Gas Power manufacturing base outside the United States. To honor this milestone, the
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
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