Daily brief
August 11, 2026.
60 quantum research items collected on 2026-08-11; hardware, control, and industry signals routed.
Quantum
60 quantum research items collected on 2026-08-11; hardware, control, and industry signals routed.Hardware and Error Correction
Koszul-complex stabilizer models unify the toric-code hierarchy and bivariate-bicycle codes in one homological framework. To study translation-symmetry-enriched topological (SET) phases in these models and, more generally, in translation-invariant Calderbank-Shor-Steane (CSS) codes with stabilizer maps $(\varphi_X,\varphi_Z)$, we introduce the associated topological supersel...
Surface passivation for narrowing optical linewidth of silicon T centers in nanophotonic devices
Silicon T centers are promising spin-photon interfaces in solid-state platforms for telecom-compatible, scalable quantum information technologies. A major challenge for T centers in nanophotonics is spectral diffusion, where fluctuations in the local electric-field environment from surface and bulk charge states broaden the optical transition and reduce photon indistinguisha...
Nonlinear stochastic differential equations (SDEs) underlie molecular modeling and drug discovery, quantitative finance, stochastic learning, and uncertainty quantification. Their expectations, event probabilities, and time correlations are therefore natural targets for quantum computation, but nonlinear drift and averaging over noise realizations obstruct a direct quantum r...
Entanglement-assisted quantum locally recoverable codes: bounds and constructions with availability
In this work, we define entanglement-assisted quantum locally recoverable codes with availability, in which any set of up to $δ-1$ erased qudits can be recovered from any one of $t$ local recovery sets, each of size at most $r+δ-1$, with the recovery sets intersecting exactly in the erased coordinates, where $r$ is a (small) positive integer. We show that shared entanglement...
Quantized Stabilizer-Rényi Boundary Response across Fermionic SPT Transitions
Open boundaries host symmetry-protected Majorana modes, yet their imprint on the stabilizer Rényi entropy is obscured by a nonuniversal volume law. At Rényi index $α=1/2$, we isolate a bulk-subtracted boundary response in free-fermion BDI chains using exact finite-open-chain relations, large-$L$ Pfaffian evaluations, and direct positive-weight checks. Across a mass inversion...
Magic State Distillation via Codes over Binary Extension Fields
Fault-tolerant quantum computation architectures are frequently bottlenecked by the overhead of producing high-fidelity magic states. In this work, we use algebraic geometric techniques to construct codes over binary extension fields $\mathbb{F}_{2^s}$, thus discovering new protocols for the distillation of qubit magic states, where our focus is on the regime of practical qu...
Diffusion-based quantum state tomography (QST) has shown promising results, but all existing methods implicitly adopt a single parameterization---typically Cholesky---without systematic evaluation. We present a design space study of density matrix parameterizations for diffusion QST, introducing a geometric framework based on the Jacobian Gram matrix $\mathbf{J}^\top\mathbf{...
A well-balanced decoder has been central to the development of modern fault-tolerant quantum computing. However, the inherent topologies of quantum error correcting codes can limit the performance of many well-studied decoding algorithms. In this work, we introduce Noise Assisted Ensemble Decoding (NAED), a highly accurate decoding framework with a significant advantage in r...
Control and Quantum-AI Integration
From Barren Plateaus to SPSA Optimization in Variational Quantum Eigensolvers
The barren plateau (BP) phenomenon poses a fundamental challenge to the trainability of variational quantum eigensolvers (VQEs) by causing exponentially vanishing gradients as the system size increases. While extensive studies have investigated the geometric origins of BP, its impact on the optimization dynamics and complexity of practical algorithms under finite-shot measur...
Aicir: A Full-Stack Quantum Circuit Simulator with AscendNPU Support
Quantum computing is a promising way to study problems that are difficult for classical methods, but current quantum hardware still faces limits in scale, noise, and fidelity. Running quantum algorithms on physical machines can also be costly. Quantum circuit simulators therefore remain important because they let researchers design and test algorithms on classical computers...
Memory-, Circuit-, and Ansatz-Efficient VQLS for CFD on Hybrid Quantum-HPC Systems
Fluid dynamics workloads are dominated by repeated solves of large, structured linear systems, motivating the search for quantum acceleration. The Variational Quantum Linear Solver (VQLS) is a leading near-term candidate, but practical deployment on hybrid quantum--high--performance computing (HPC) systems faces three persistent challenges: (i) the linear-combination-of-unit...
In the Noisy Intermediate-Scale Quantum (NISQ) era, limited qubit availability and hardware noise constrain the practical deployment of quantum machine learning (QML). Existing quantum neural network (QNN) and quantum convolutional neural network (QCNN) architectures often require increasing quantum resources as the input dimension grows, limiting scalability on near-term de...
Autoregressive Projective Quantum Monte Carlo: From a Hermitian to a Non-Hermitian Perspective
Accurately determining the ground-state properties of quantum many-body systems remains a central challenge. In this work, we introduce an autoregressive projective quantum Monte Carlo (PQMC) framework that leverages recurrent neural networks (RNNs) to guide the stochastic dynamics. By incorporating autoregressive sampling into PQMC, we demonstrate substantial improvements i...
A non-Markovian approach to spin-phonon coherence and the breakdown of the Markovian approximation
Qubit coherence is an essential figure of merit for quantum information processing applications such as quantum computing, or quantum repeaters. Understanding the coherence properties of the underlying physical qubits that facilitate such applications is therefore are often limited by coupling to lattice phonons, which in turn constrains operation temperature. Here we study...
Commercial and Industry Context
Microscopic QED origin of spin entanglement
We study effective spin interactions arising from quantum electrodynamics (QED) scattering between localized fermionic spins. By integrating out photon and mediator fields, the dynamics reduce to an effective spin Hamiltonian. For two qubits in the nonrelativistic regime, the resulting interaction takes a tensor dipolar form with an asymptotic decay proportional to \(R^{-3}\...
Morgan Stanley Launches U.S. Innovation Initiative Supporting Quantum and Strategic Technologies
<a href="https://thequantuminsider.com/2026/08/11/morgan-stanley-us-innovation-initiative-quantum-ai-technologies/" rel="nofollow" title="Morgan Stanley Launches U.S. Innovation Initiative Supporting Quantum and Strategic Technologies"><img alt="Morgan Stanley" class="webfeedsFeaturedVisual wp-post-image" height="688" src="https://thequantuminsider.com/wp-content/uploads/202...
Qunnect and Monarch Quantum Partner to Develop Deployable Quantum Networking Hardware
<a href="https://thequantuminsider.com/2026/08/11/qunnect-monarch-quantum-deployable-quantum-networking-systems/" rel="nofollow" title="Qunnect and Monarch Quantum Partner to Develop Deployable Quantum Networking Hardware"><img alt="global network visual" class="webfeedsFeaturedVisual wp-post-image" height="691" src="https://thequantuminsider.com/wp-content/uploads/2026/08/2...
Utah Launches Quantum Initiative With New Quantum Coordination Council
<a href="https://thequantuminsider.com/2026/08/10/utah-launches-quantum-initiative/" rel="nofollow" title="Utah Launches Quantum Initiative With New Quantum Coordination Council"><img alt="a large white building with a flag on top of it" class="webfeedsFeaturedVisual wp-post-image" height="1067" src="https://thequantuminsider.com/wp-content/uploads/2026/08/td9-ycjprfs.jpg" s...
Unrouted Items
A Quantum Coherence Microscope in the Hubbard Regime
Quantum coherence underlies collective quantum phenomena and emerging quantum technologies. Quantum gas microscopes have transformed quantum simulation by providing projective snapshots of many-body states with single-atom resolution, but spatially resolved measurements of off-diagonal correlations have remained elusive. Here, using the Talbot effect, we introduce a quantum...
The quadratic growth of Krylov spread complexity in the BTZ black hole
The boundary quantity that captures the growth of black-hole interiors quantified by holographic complexity remains unknown beyond 2d dilaton gravity. We provide a critical analysis of a partition-function construction of Krylov spread complexity for thermofield-double states that provides a dimension-independent boundary reconstruction from semiclassical holographic partiti...
Decoupling 2D translation-invariant topological CSS codes
Two-dimensional translation-invariant topological CSS codes on qubits are known to be locally equivalent, after coarse-graining, to stacks of toric codes. However, existing constructions generally break more translation symmetry than is required to remove anyon-permuting translations, leaving open whether any further obstruction exists. We prove that no such obstruction occu...
Learning Clifford-structured quantum unitaries and Hamiltonians
Learning algorithms for structured quantum unitaries and Hamiltonians have primarily considered classes of processes that are local or sparse in the Pauli basis. We turn our attention to learning $n$-qubit quantum unitaries $U$ and Hamiltonians $H$, given query access to $U$ or the unitary evolution of $H$, that may be dense in the Pauli basis but still admit concise Cliffor...
Tensor network methods for non-perturbative dynamics of open quantum systems
The description of open quantum system dynamics beyond the perturbative treatment (usually associated with Markovian master equations) is a computationally challenging task due to the unfavorable exponential scaling of memory kernels. Developed over recent decades in the context of quantum information and condensed matter, tensor networks provide both a new formalism and a t...
An upper bound for the purity of absolutely positive partial transpose states
A quantum state is called absolutely separable (resp. absolutely positive partial transpose (APPT)) if it remains separable (resp. positive partial transpose (PPT)) under any global unitary transformation. It is known that the set of all absolutely separable states is a subset of the set of all APPT states. Moreover, these two sets are identical for qubit-qudit systems. In t...
Quantum Information Flow under String-Diagram Rewriting
We revisit the notion of ``quantum information flow'' introduced in Bob Coecke's early work and seek to give it an explicit string-diagrammatic formalization. Given a semantics preserving string-diagram rewriting sequence, we first distinguish apparent through-paths, which depend on the current graphical presentation, from genuine through paths, which can be compatibly inher...
Carleman lifting converts nonlinear polynomial dynamics into finite linear systems, but the resulting truncations are generally nonunitary and need not correspond to physical quantum evolution. We prove that a finite linear endpoint admits an autonomous Gorini--Kossakowski--Sudarshan--Lindblad (GKSL) realization on vacuum coherences if and only if it is invertible and power...
Detection-efficiency mismatch is a common problem in realistic quantum key distribution (QKD) systems. The existing security proofs for the case of the passive basis choice provide a nonzero secret key rate only for a small detection-efficiency mismatch. Unfortunately, in realistic setups, the detection-efficiency mismatch can be significant. Here we present a more precise e...
State Diagnostics of Complexity in Open Quantum Systems
We study the emergence of complexity in finite-size quantum systems as their dynamics transition from closed and coherent evolution to interacting and effectively open behavior. Using a state-based geometric framework, we represent mixed quantum states as probability measures on complex projective Hilbert space. This representation allows us to track how interactions reshape...
Spread of Entanglement in Generalized Kicked Ising Chain
We investigate the dynamics of entanglement in a generalized version of the kicked Ising chain, extending the model from the standard qubit case (local dimension $q=2$) to higher local dimensions ($q > 2$). We identify the existence of ''dual-unitary'' points where the model's space-time duality allows for exact analytical solutions. Our analysis reveals that while a few uni...
We investigate the role of symmetry-protected dark states and metastable-like frozen states in the autonomous charging dynamics of open quantum batteries described by a transverse-field Ising model. By comparing local and collective dissipation over a range of system sizes, temperatures, and magnetic phases, we demonstrate that collective dissipation generates symmetry-prote...
Quantum algorithms for nonlinear partial differential equations remain challenging because nonlinear dynamics are not directly amenable to unitary quantum simulation. Building on the level-set formulation, we construct a quantum algorithm and provide an explicit gate-level implementation for solving scalar conservation laws. The nonlinear equation is first lifted to a linear...
Phase-error estimation for quantum key distribution with leaky receivers
Practical quantum key distribution (QKD) receivers may leak information about their measurement outcomes and settings to the channel (e.g., through detector backflashes or back-reflected Trojan-horse light) that could compromise the protocol's security. Here we present a simple finite-key security proof based on phase-error estimation for prepare-and-measure QKD in the prese...
Characterising the set of deterministic quantum correlations in prepare-and-measure scenarios
Correlations that do not admit a deterministic explanation are a central feature of quantum theory and a key resource for quantum information processing. Identifying and certifying such correlations, however, remains a fundamental challenge. In this work, we advance on this problem by considering deterministic correlations in the prepare-and-measure scenario consistent with...
A Domain-Specific Language for Formulating Hybrid Quantum-Classical Meta-Solver Strategies
A key challenge when designing hybrid quantum-classical workflows is the identification of quantum candidates, that is, determining for which specific problems quantum advantages could potentially be achieved. When choosing between several candidates, it is crucial to consider the characteristics specific to the problem, as these can fundamentally determine how successful qu...
Conditions for implementing projective measurements through continuous monitoring
Projective measurements are foundational for quantum physics in general and quantum information tasks in particular. However, their direct implementation is often not warranted. Here, we investigate under what conditions continuous monitoring that manifests in quantum jump trajectories realises projective measurements over time. Considering finite-dimensional quantum systems...
Time Dilation and center of Mass Normalization in the Page-Wootters Formalism
In this work, we study the emergence of relativistic effects in a composite quantum clock within the Page-Wootters relational formulation of quantum mechanics. We consider a system with internal and center-of-mass degrees of freedom and analyze the conditioned evolution of the center-of-mass relative to the internal system treated as an internal clock. We show that the inter...
Quantum Uncomputation of Clean and Dirty Ancilla Qubits
Automatic uncomputation aims to provide programming-language-level support to facilitate the correct and safe use of ancilla qubits in quantum computing, but efforts have only been made for clean ancillas, leaving dirty ancillas unexplored. We present a unified formalization of the uncomputation of both clean and dirty ancillas. For the first time, we prove that checking the...
Conditional non-Hermitian acceleration of multiphoton atomic transitions
Continuous monitoring can convert a dissipative channel into a resource for accelerating otherwise slow multiphoton transitions. We consider a three-level atom in a $Λ$ configuration and condition the evolution on the absence of photon emission through an auxiliary monitored decay channel. The resulting no-jump dynamics is governed by a non-Hermitian Rabi-type Hamiltonian. U...
Quantum Coordination and Nonlocal Games: Theory and Applications
Coordination is a fundamental primitive in communication and information theory, in which distributed systems must collectively generate correlated behavior rather than merely exchange messages. In quantum networks, the nature of entanglement, quantum measurements, and nonclassical correlations introduces coordination possibilities unavailable classically. This article revie...
Compound beams for direct experimental comparison of quantum operations
Compound beams composed of simple experimental blocks (detected in simultaneous detection windows) that form specific quantum-correlated structures are suggested for simulating the properties of different quantum operations used for creating highly nonclassical and entangled multi-mode states needed in quantum communication, metrology, and information protocols. Qualitative...
Faster Algorithms for Multimarginal Optimal Transport
We study algorithms for approximating the multimarginal optimal transport (MOT) distance, a generalization of the classic optimal transport distance, between $m$ discrete probability distributions each supported on at most $n$ points. We give a classical algorithm that computes a coupling between these marginals whose expected transportation cost is within an additive $\vare...
Genuinely Unextendible Product Bases from Maximum Distance Separable Codes
The existence of genuinely unextendible product bases (GUPBs), incomplete orthogonal sets of fully product states whose orthogonal complements contain no product vector across any bipartition, has remained an open problem. Here we construct GUPBs for any number $N\geq3$ of parties using classical maximum distance separable (MDS) codes. The MDS property imposes a rigidity on...
Quantum sensing composite excitations in an anisotropic ferromagnet via a qubit
Ordered magnets harbor intrinsically squeezed ground states and magnonic excitations characterized by entanglement between spins and nonclassical magnon number composition. A pathway to detecting the superpositions of noneigenmode magnon number states underlying these nonclassical magnetic ground states has recently been demonstrated by utilizing a qubit coupled to the magno...
Probing Non-equilibrium baths: Frequency-Resolved Thermometry and Quantum Heat Current Turnover
Quantum heat transport for non-equilibrium steady state (NESS) exhibits a characteristic turnover effect, where the heat current reaches a maximum and subsequently declines as system-bath coupling increases. Although numerically exact methods can simulate this non-monotonic behavior, they offer limited information on the thermal state of the heat baths. Here, we introduce a...
An accelerator-based source of high-intensity quantum-entangled annihilation gamma photons
We present the concept and development of a novel accelerator-based source of high-intensity quantum-entangled 511 keV gamma-ray pairs produced through positron-electron annihilation. The source leverages the unique capabilities of the proposed Jefferson Lab positron facility to generate polarized, high-current positron beams with a well-defined time structure. These beams e...
Birefringent Biomineral Microcarriers Stabilise Multimodal Nanodiamond Quantum Sensing in Liquids
Mobile nanodiamond quantum sensors in liquids are limited by Brownian rotation, variable photon collection, and perturbations introduced by optical trapping. Here, we assemble 40-nm nitrogen-vacancy nanodiamonds at the surface of porous, birefringent vaterite microspherulites. This carbonate biomineral provides a polarization-addressable body frame, anisotropic emission redi...
QTris: a pedagogical board game to teach Quantum Mechanics
In this paper we introduce the new version of QTris, a board game designed to teach and learn Quantum Mechanics within the framework of Quantum Information and Computation. The key idea behind the game is that every game sequence simulates a process on a system of qubits. Thus, QTris can be effectively integrated as a pedagogical tool to teach Quantum Mechanics at high-schoo...
Geometrical approach and topological electron density in the $p_x + ip_y$ superconductor
We present an analysis on the geometrical and physical nature of the $p_x + ip_y$ superconductor on the square lattice, with an emphasis on the topological phase transition at half-filling. We develop a local topological marker from specific Dirac points within the Brillouin zone, which is introduced via the addition of two one-dimensional (1D) $\mathbb{Z}$ $(\mathbb{Z}_2$)...
High-fidelity controlled-phase gates for distinguishable quantum walkers via extended interactions
We investigate the implementation of controlled-phase (CP) gates with quantum walks in a dual-rail encoding through the use of interacting particles. While previous proposals have focused on indistinguishable particles (bosons or fermions) to achieve unitary fidelity for plane-wave scattering, practical implementations require finite-size wavepackets and routing through sing...
Quantum uncertainty in a macroscopic domain
We develop a classical model-theoretic representation of partial Boolean algebras and use it to formulate quantum-like uncertainty without abandoning classical propositional logic. Given a surjection from the initial formulæ of a propositional language onto a partial Boolean algebra $(\mathcal V,Π)$, we construct a consistent theory $\mathcal T_g$ whose core---the ordered se...
PsiQuantum Appoints Atomico Founder Niklas Zennström to Board of Directors
<a href="https://thequantuminsider.com/2026/08/11/psiquantum-appoints-atomico-founder-niklas-zennstrom-board-directors/" rel="nofollow" title="PsiQuantum Appoints Atomico Founder Niklas Zennström to Board of Directors"><img alt="Niklas Zennström picture." class="webfeedsFeaturedVisual wp-post-image" height="733" src="https://thequantuminsider.com/wp-content/uploads/2026/08/2...
Scientists Reveal Hidden Structure of a Quantum Fluid
<a href="https://thequantuminsider.com/2026/08/11/scientists-reveal-hidden-structure-of-a-quantum-fluid/" rel="nofollow" title="Scientists Reveal Hidden Structure of a Quantum Fluid"><img alt="" class="webfeedsFeaturedVisual wp-post-image" height="685" src="https://thequantuminsider.com/wp-content/uploads/2026/08/Electons.jpg" style="display: block; margin: auto; margin-bott...
Infleqtion Selected by Eaton to Explore Quantum Computing for Power Grid Resilience
<a href="https://thequantuminsider.com/2026/08/10/infleqtion-eaton-quantum-computing-power-grid-resilience/" rel="nofollow" title="Infleqtion Selected by Eaton to Explore Quantum Computing for Power Grid Resilience"><img alt="Infleqtion logo" class="webfeedsFeaturedVisual wp-post-image" height="686" src="https://thequantuminsider.com/wp-content/uploads/2026/08/2026-08-10_19-...
Chips
46 chip stack items collected on 2026-08-11; 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 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
HBM Becomes Testbed For 3D Assembly Yield
<p>High-bandwidth memory has become a proving ground for 3D stack testing, DFT, and reliability.</p> <p>The post <a href="https://semiengineering.com/hbm-becomes-testbed-for-3d-assembly-yield/">HBM Becomes Testbed For 3D Assembly Yield</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
AI Chiplet Architectures Redefining Test Insertions
<p>Heterogeneous integration does not simply increase complexity but redistributes where quality must be assured. </p> <p>The post <a href="https://semiengineering.com/ai-chiplet-architectures-redefining-test-insertions/">AI Chiplet Architectures Redefining Test Insertions</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Failure Analysis HW Enables System-Level Debug For 3D ICs (Google, TU Delft)
<p>Researchers from Google and Delft University of Technology published a technical paper titled “Innovative FA Hardware Solution to Enable System-Level Debug of 3D ICs.” Abstract Excerpt: “This paper presents a novel Failure Analysis (FA) hardware and sample preparation solution that enables System-Level FA on mobile System-on-a-Chip (SoC) PoP devices, where the DRAM...
Optimizing Chiplet Placement And Interposer Footprint For 2.5D Systems (A*STAR)
<p>Researchers from A*STAR published a technical paper titled “FAPlace: Joint Optimization of Chiplet Placement and Interposer Footprint for 2.5D Systems.” Abstract Excerpt: ” We propose FAPlace, a footprint aware mask guided sequential placement framework. FAPlace operates on a sufficiently large canvas, eliminating the circular dependency by allowing the optimal inte...
Custom Silicon and Networking
Femtosecond Laser Process Targets Depth-Controlled 4H-SiC Wafer Slicing (Texas A&M, KIMM, UST)
<p>Researchers from Texas A&M University, KIMM, and UST published a technical paper titled “Self-Focusing Control for Depth-Precise Wafer Slicing of 4H-SiC in Femtosecond Laser Processing.” Abstract Excerpt: “Femtosecond laser slicing for 4H-SiC wafers offers a non-contact processing approach to produce thin layers with low defects, while strong optical nonlinearit...
Foundry, Tools, and Capex
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 Hype To Implementation: Building The Core Pillars For AI In Semiconductors
<p>The most sophisticated AI algorithm in the world cannot compensate for fragmented data, absent governance, or siloed infrastructure. </p> <p>The post <a href="https://semiengineering.com/from-hype-to-implementation-building-the-core-pillars-for-ai-in-semiconductors/">From Hype To Implementation: Building The Core Pillars For AI In Semiconductors</a> appeared first on <a h...
How Long Does A Measurement Remain Valid?
<p>Measurements can be misleading after the chip, the test path, or the assumptions behind the result change. </p> <p>The post <a href="https://semiengineering.com/how-long-does-a-measurement-remain-valid/">How Long Does A Measurement Remain Valid?</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
CPO Test Won’t Scale Without Standardization
<p>Across the CPO ecosystem, profitability will not happen until standardization occurs. </p> <p>The post <a href="https://semiengineering.com/cpo-test-wont-scale-without-standardization/">CPO Test Won’t Scale Without Standardization</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
From Silicon To Systems: Redefining Competitive Advantage, Part 1
<p>Semiconductors are evolving from a product industry into an ecosystem industry.</p> <p>The post <a href="https://semiengineering.com/from-silicon-to-systems-redefining-competitive-advantage-part-1/">From Silicon To Systems: Redefining Competitive Advantage, Part 1</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Power
18 power layer items collected on 2026-08-11; 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...
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.
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
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
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...
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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