Daily brief
July 26, 2026.
60 quantum research items collected on 2026-07-26; hardware, control, and industry signals routed.
Quantum
60 quantum research items collected on 2026-07-26; hardware, control, and industry signals routed.Hardware and Error Correction
Fault-tolerant quantum algorithms for simulating atomic nuclei
To maximize the value of fault-tolerant quantum computers, it is essential to develop concrete applications beyond well-established domains such as chemistry and condensed-matter physics. Here we construct and compile quantum algorithms to simulate the structure of atomic nuclei -- a topic that has received relatively little attention from the quantum computing community des...
Enhancing Entanglement Purification with Shared Randomness
Entanglement purification protocols (EPPs) are essential for improving entanglement fidelity to support fault-tolerant distributed quantum information processing. Practical entanglement sources are often heterogeneous and source labels may be unavailable at the EPP layer. We show that classical shared randomness, together with buffer memories, can enhance entanglement purifi...
Strategic Plan for Neutral Atom Quantum Computation
We present a strategic plan for neutral atom quantum computation, bringing together hardware development and theory advancements to achieve the goal of practical quantum advantage. The concept of practical quantum advantage is defined, along with how to verify claims of advantage, and approaches to designing quantum algorithms that deliver practical advantage. Future directi...
Directional telecom photons from a chirally coupled quantum dot
Chiral quantum light-matter interfaces, where the internal spin state of a quantum emitter determines the direction in which it emits, are essential building blocks of non-reciprocal quantum devices, deterministic quantum logical gates and entanglement generation protocols. Yet, a chiral quantum interface that operates at telecom wavelengths, and is compatible with telecommu...
Floquet Reservoir Engineering for Remote Logical Entanglement
Implementing controlled dissipative dynamics is a powerful approach for state preparation in a variety of contexts, including the preparation of remote entangled states. Here, we show that by going beyond the standard setting of time-independent dissipative dynamics, one can realize even more powerful non-unitary protocols. We introduce dissipative Floquet protocols for stab...
Quasiparticle-induced transitions in a fluxonium qubit
Quasiparticles are a prominent decoherence source in superconducting qubits, but their effects are notoriously difficult to isolate in fluxonium. Unlike a transmon, fluxonium is insensitive to offset charge, precluding charge-parity detection of quasiparticle tunneling. We address this challenge by measuring the excitation and de-excitation rates in a fluxonium qubit under c...
Classifying Topology via Edge-State Pure Thermalization
Repeated-interaction machines distinguish heat-like from work-like resources through the steady states they generate, but whether topology can control this distinction remains unknown. Here we reveal the role of topology in the process by showing that topological edge states can act as pure-thermalization fuels. For an open Su-Schrieffer-Heeger chain used as the fuel source...
Fluctuation-Induced Bistability in the Dissipative Dynamics of Generic Cavity-Matter Quantum Systems
We demonstrate that fluctuation-induced bistability is a robust and generic phenomenon in strongly interacting many-body systems with strong light-matter coupling. We identify a common microscopic mechanism based on resonances between photonic transitions and many-body energy scales, unifying the emergence of fluctuation-induced bistability across a broad class of models, in...
Control and Quantum-AI Integration
Flow-based Phase-space Tomography of Continuous-variable Quantum States
Continuous-variable quantum state tomography is limited by the cost of resolving non-Gaussian structure in high-dimensional phase space. We introduce QST-Flow, a quantum state tomography framework via flow-based generative modeling that represents experimentally accessible phase-space quasiprobability distributions with normalized, samplable neural densities rather than a tr...
The trainability of photonic quantum circuits
Variational quantum algorithms are a leading approach to near-term quantum computing, but their scalability can be limited by barren plateaus and the sampling cost of resolving small changes in the loss landscape. Here, we study the trainability of passive linear-optical quantum circuits and introduce a framework based on the ratio of sample variance to circuit variance. Thi...
QuantumChain: Blockchain-Backed Quantum Federated Learning for Financial Fraud Detection
Financial fraud detection is challenged by decentralized data, severe class imbalance, and privacy constraints. This paper presents QuantumChain, a secure Quantum Federated Learning (QFL) framework that combines hybrid quantum-classical neural networks, encrypted federated aggregation, blockchain-based auditability, and quantum-secure communication. Each client trains a loca...
QSTAR: Quantum Selective Transfer with Adaptive Routing
Quantum transfer learning (QTL) is often evaluated by replacing a classical classifier with a fixed variational quantum head, but this hides a key question: when is the quantum branch actually useful? We propose QSTAR: Quantum Selective Transfer with Adaptive Routing, a selective QTL framework that keeps high-confidence classical predictions and routes only low-confidence sa...
Cautious optimism for deep parameterized quantum circuits
A central challenge in quantum machine learning is understanding the scaling behavior of parameterized quantum circuits (PQCs). In particular, it remains unclear how their performance on unseen data changes as the number of trainable parameters increases. Prior works have derived formal generalization guarantees for quantum models, but it is well-known that many such results...
Quantum Circuit Fragments and Link Products in Continuous Variables
Quantum circuits are often drawn as complete processes, with fixed inputs and outputs. In many quantum-information tasks, however, the natural object is only a fragment of such a circuit: an unknown source of non-Markovian noise to be probed, a subroutine to be inserted into a larger algorithm, or an agent implementing an adaptive strategy. In finite dimensions, the link pro...
Numerous studies have analyzed the use of hybrid quantum-classical convolutional neural networks as a promising alternative to classical deep learning. However, network components on quantum hardware impose fundamental limitations, while the scalability of quantum circuits leads to trainability issues. In this work, we investigate whether small, classically-emulated quantum...
Approximate Quantum State Preparation Through Proximal Policy Optimization
In this work, a quantum architecture search framework for approximate quantum state preparation (QSP) is proposed. QSP is a challenging task, since the search space grows exponentially with the number of qubits, making the identification of the optimal circuit non-trivial. To address this problem, deep reinforcement learning is employed through an agent based on proximal pol...
Commercial and Industry Context
In a two-dimensional electron gas, a strong perpendicular magnetic field confines electrons to quantized cyclotron orbits, giving rise to Landau levels with discrete orbit radii. Even the smallest Landau orbit, set by the magnetic length, spans tens of nanometers for fields of a few Tesla, imposing an intrinsic nonlocal response to electromagnetic excitations. From a microsc...
Efficient classical simulation of large-scale unitary cluster Jastrow circuits
Recent experiments on quantum computers have challenged the limits of classical computation in chemistry, simulating ground states of strongly correlated molecules. Many of these experiments have utilized the unitary cluster Jastrow ansatz, a quantum circuit inspired by the unitary coupled cluster ansatz that can be tailored to current quantum hardware. Notably, the largest...
Mixed-Binary Quadratic Programming via QUBO Sampling without Continuous-Variable Binarization
Quantum annealing and related combinatorial optimization methods typically accept quadratic unconstrained binary optimization (QUBO) problems as input, whereas many practical models include constraints and continuous variables. Standard QUBO conversions discretize continuous variables, increasing the binary dimension and often making feasible low-energy states harder to samp...
We theoretically demonstrate that the molecular orientation angle $θ$ provides a structurally intrinsic, continuously tunable control parameter for engineering optical Schrödinger cat states via high-harmonic generation (HHG) in H$_2^+$. Coupling time-dependent Schrödinger equation simulations to the fully quantized HHG framework, we evaluate the Wigner functions of the post...
This work examines the thermal dynamics of basis-independent quantum coherence and correlation-based quantum resources for two dipole-dipole-coupled electrons confined in spatially separated quantum-dot (QD) molecules. Single-dot quantum superpositions and inter-subsystem coherence are characterized by using localized and collective coherence. Quantum correlations between th...
Vacuum-induced interference in light scattering by multilevel atomic chains
We investigate cooperative light scattering by an ordered chain of multilevel atoms, which possess two quasi-resonant transitions with parallel dipole moments. Interference between dipole transitions induced by coupling with the vacuum gives rise to so called cross-damping and cross-shifts, that modify the incoherent and coherent dynamics and can be manifest in the spectrosc...
The leading-soft cubic graviton self-interaction on the black-hole horizon
We expand the Einstein-Hilbert action to cubic order about the Schwarzschild horizon, in the even Regge-Wheeler gauge of the Gaddam-Groenenboom-'t~Hooft (GGV) near-horizon framework, and derive the cubic graviton self-interaction. Our central result is a `vanishing theorem': at leading soft order the self-coupling of the purely traceless longitudinal polarizations is identic...
Rigetti Computing to Report Second Quarter 2026 Financial Results on August 6
<a href="https://thequantuminsider.com/2026/07/24/rigetti-computing-to-report-second-quarter-2026-financial-results-and-host-conference-call-on-august-6-2026/" rel="nofollow" title="Rigetti Computing to Report Second Quarter 2026 Financial Results on August 6"><img alt="Rigetti Computing logo - TQI" class="webfeedsFeaturedVisual wp-post-image" height="714" src="https://thequ...
Unrouted Items
Complexity transition in the Dicke model of light-matter interaction
Tuning the coupling strength $g$ of an interacting quantum system may drive a sudden change in its ground-state or thermal properties. To identify and grasp non-analytical, or even discontinuous, transitions in far-from-equilibrium dynamics proves more challenging. Recently Krylov complexity $C_K$ has offered fresh insights about operator growth, thermalization, and chaos in...
A geometric framework for spin relaxation
Spin relaxation is conventionally described by two independent phenomenological rates - longitudinal ($R_1$) and transverse ($R_2$) - whose separation obscures a deeper structural unity. Here we develop a geometric framework in which dissipation is represented by a single covariant relaxation tensor acting in Liouville space, from which $R_1$ and $R_2$ emerge as complementar...
Unconditional Unclonable Encryption
We give an unconditional construction of information-theoretically secure one-time private-key unclonable encryption scheme for one-bit messages, with efficient encryption and decryption and exponentially small unclonable-indistinguishability advantage.
Beyond Calabrese-Cardy Scaling: Exceptional-Point Sensitivity from the de Sitter RT Surface
Entanglement entropy at one-dimensional criticality typically follows the Calabrese-Cardy scaling. In non-Hermitian critical chains near exceptional points, however, we show that the biorthogonal entropy of a finite system retains an additional sensitivity to a small energy gap \(Δ\) even when \(Δ< 1/L\). On top of the usual Calabrese-Cardy term, we find an interval-independ...
Benchmarking Agents for Proving Theorems in Quantum Algorithms and Quantum Information
Formal verification is becoming increasingly practical for quantum computing, yet the ability of AI agents to construct machine-checkable proofs in this domain remains unmeasured. We introduce Lean-QuantumAlg-Bench and Lean-QIT-Bench, two Lean 4 benchmarks containing 36 and 40 theorem-completion tasks for quantum algorithms and quantum information theory, respectively. Every...
Unified theory of classical and quantum semiparametric efficiency
In classical and quantum statistics, high-dimensional unknown parameters are abundant and it is often prudent to make minimal assumptions about them using so-called semiparametric models. To attack a wide range of semiparametric problems in one broad stroke, we present a unified treatment of statistical efficiency for classical and quantum semiparametric models, generalizing...
Extended Single-Atom Tweezer Arrays in High-Cooperativity Cavity-QED
A central challenge for cavity-QED-based quantum technologies is to make high-cooperativity optical interfaces compatible with site-resolved arrays of single atoms. Here, we demonstrate optical tweezer arrays of individual $^{87}$Rb atoms inside a fiber Fabry-Perot microcavity with single-atom cooperativity $\mathcal{C} \sim 90$. We combine background-free site-resolved fluo...
Flow of local sensitivity in a spin chain coupled to a bosonic bath
We study how local sensitivity to an encoded parameter, captured by the quantum Fisher information, flows between a spin chain, a coupled bosonic bath, and their quantum correlations, where we treat the bath as a full many-body quantum system beyond the Lindbladian approximation. We analyze how the coupling symmetry determines the destination of the departed sensitivity dire...
An on-chip programmable mechano-quantum transducer
Solid-state spin defects encode local perturbations as measurable shifts in spin-transition frequencies, but mechanical actuation and quantum readout remain physically separated, resulting in a discrete measurement setup. Integrating these functions requires an on-site mechano-quantum interface that programs the lattice state of a defect host and quantitatively maps it onto...
An Optimal Analysis of the Product Test
Product testing, i.e., deciding whether a pure multipartite quantum state is fully unentangled across a specified tensor decomposition, serves as a bridge between quantum property testing, unentangled quantum proof systems, and tensor optimization. Despite being a fundamental property testing task and having many applications, the product test's exact (worst-case) acceptance...
Relational path integral, effective actions and quantum frame covariance
We propose a relational bundle-geometric formulation of the gravitational path integral by invoking the new tool of quantum reference frames (QRFs), which in gravity are gauge-covariant coordinate systems constructed from the available field content. Formulated in terms of relational (frame-dressed) observables, this yields a manifestly gauge-invariant path integral without...
Rack-integrated quantum dot-based source of single and entangled photons at telecom C-band
For quantum light sources in everyday telecommunication networks, quantum science needs to be fully transformed into quantum technology. The first necessary step to move outside a well-controlled lab environment requires the use of quantum light sources operating in the technologically relevant telecom O- and C-band. This can be provided using epitaxial quantum dots as deter...
Exponentially enhanced two-mode multiboson entanglement via phase-modulated tunneling
The entanglement of quantum systems is commonly restricted by their coupling Hamiltonian and initial state properties. Here, we prove by exact analysis of tunnel-coupled bosonic field modes, that factorized multi-boson two-mode states can become fully entangled via stroboscopic sign flips of the two-mode coupling. Their entanglement can exponentially grow with the number of...
Accurate modeling of bond breaking remains a central challenge for reduced density matrix functional theory (RDMFT). Although some modern functionals can yield reasonably accurate dissociation energies, they often fail to reproduce key properties of the dissociated fragments, such as a vanishing fragment population covariance (also known as the delocalization index) and the...
A solution to 2-copy distillability of Werner states
Entanglement distillation is a fundamental task in quantum information theory. In this work, we prove that Werner states in arbitrary dimension are 2-copy distillable if and only if they are 1-copy distillable. This answers the longstanding open question of the 2-copy distillability of Werner states. This is an important step on determining whether every non-positive partial...
Representation of the causal logic for the Dirac system and the electron
We construct a covariant representation of the causal logic for the Dirac system and the electron, based on the conserved Dirac probability current and a general current-to-localization procedure for achronal regions. A polynomial decay estimate, derived by a non-stationary phase argument, verifies the conditions required to define covariant achronal localization for the ful...
As quantum key distribution (QKD) progresses from laboratory demonstrations toward practical deployment, quantum communi- cation networks increasingly require higher key rates and the ability to distribute independent secret keys among multiple users and network nodes. In this paper we present a promsing approach with multi-plane light conversion (MPLC) for demultiplexing en...
Why Some Quantum States Cannot Be Recovered
The recovery of quantum information after subsystem loss is a central challenge in quantum information processing. However, some states remain beyond the reach of any recovery strategies. Here we identify the algebraic origin of irrecoverability, the ghost information---correlations encoded in the global state that leave no trace on any accessible subsystem. We introduce a s...
Entanglement asymmetry and quantum Mpemba effect for Kramers-Wannier duality
The Kramers-Wannier duality is the prototypical example of a non-invertible symmetry, yet little is known about its fate away from criticality and out of equilibrium. We introduce the Kramers-Wannier entanglement asymmetry, a quantum-information measure that quantifies the breaking of this non-invertible symmetry in the transverse-field Ising chain. We first investigate its...
Characterising extremal decoherence by quantum measurement incompatibility
Decoherence, when viewed in the Heisenberg picture, can turn incompatible measurements into jointly measurable ones. This provides an observable-level description of emergent classicality in terms of the incompatibility destroyed by a noise channel. The corresponding loss of incompatibility can be captured by the channel's \emph{compatibility region}---the observables in a p...
Exceptional-Point Geometry of Weak Topological Boundary States
In this article, we demonstrate that weak topology can be formulated geometrically in terms of exceptional singularities of an analytically continued Bloch Hamiltonian. A general plaquette chiral model in two dimensions serves as a minimal realization of dual weak topology, possessing two independent families of weak topological invariants, one for each spatial direction. Th...
Entanglement, Evolutionary Stability, and Strategy-Space Dependence in an EWL Quantum Game
We examine how Eisert--Wilkens--Lewenstein (EWL) quantization affects evolutionary stability in a symmetric $2\times2$ game whose interior mixed Nash equilibrium is not evolutionarily stable. In the restricted two-parameter EWL strategy space, the quantum equilibrium $s^*=(π/2,π/4)$ becomes a strict symmetric Nash equilibrium, and hence an evolutionarily stable strategy, for...
Conditional probabilities in quantum-optical settings
We examine conditional probabilities derived from the joint noisy measurement of two complementary observables. We show that conditioning on one variable can lead to reduction of uncertainty in the other one, even completely eliminating uncertainty. We show that the conditional distribution cannot, in general, be represented in Born form using the marginal positive operator...
Picosecond-resolved entanglement distribution over an urban free-space channel
Time-evolving entangled states describe quantum particles whose correlations evolve in time according to a well-defined dynamics. Such states can be generated in a variety of physical systems and are promising resources for several quantum technologies, ranging from quantum clock synchronization to quantum communication. However, their full potential is currently limited by...
Guest Post: Inside Africa’s Coordinated Race to Secure a Post-Quantum Future
<a href="https://thequantuminsider.com/2026/07/25/inside-africas-coordinated-race-to-secure-a-post-quantum-future/" rel="nofollow" title="Guest Post: Inside Africa’s Coordinated Race to Secure a Post-Quantum Future"><img alt="AQC logo - TQI" class="webfeedsFeaturedVisual wp-post-image" height="676" src="https://thequantuminsider.com/wp-content/uploads/2026/07/zsd.png"...
SKKU-led Team Identifies ‘Zinc Oxide Spin Qubit’ — A Semiconductor-Based Quantum Technology
<a href="https://thequantuminsider.com/2026/07/24/skku-led-team-identifies-zinc-oxide-spin-qubit-a-semiconductor-based-quantum-technology/" rel="nofollow" title="SKKU-led Team Identifies ‘Zinc Oxide Spin Qubit’ — A Semiconductor-Based Quantum Technology"><img alt="PRX Quantum" class="webfeedsFeaturedVisual wp-post-image" height="531" src="https://thequantuminsider.com/wp-con...
Digital Catapult and NQCC Select 11 Organisations for Quantum Technology Access Programme
<a href="https://thequantuminsider.com/2026/07/24/digital-catapult-nqcc-quantum-technology-access-programme/" rel="nofollow" title="Digital Catapult and NQCC Select 11 Organisations for Quantum Technology Access Programme"><img alt="Digital Catapult and NQCC" class="webfeedsFeaturedVisual wp-post-image" height="708" src="https://thequantuminsider.com/wp-content/uploads/2026/...
Quantum Circuits Inc.’s Acquisition Boosts Connecticut Innovations’ Record-Breaking Fiscal Year
<a href="https://thequantuminsider.com/2026/07/24/quantum-circuits-inc-s-acquisition-boosts-connecticut-innovations-record-breaking-fiscal-year/" rel="nofollow" title="Quantum Circuits Inc.’s Acquisition Boosts Connecticut Innovations’ Record-Breaking Fiscal Year"><img alt="connecticut" class="webfeedsFeaturedVisual wp-post-image" height="887" src="https://thequa...
Chips
43 chip stack items collected on 2026-07-26; 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
<p>Scaling NoCs across chiplets requires earlier validation of coherency, congestion, thermal effects, and fault behavior.</p> <p>The post <a href="https://semiengineering.com/untangling-chip-traffic-jams/">Untangling Chip Traffic Jams</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Realizing The Future Of 3D-IC: Final Scenario And Sign-off
<p>Chiplet interface route planning, optimization, and predictive analysis are crucial for achieving PPAC goals.</p> <p>The post <a href="https://semiengineering.com/realizing-the-future-of-3d-ic-final-scenario-and-sign-off/">Realizing The Future Of 3D-IC: Final Scenario And Sign-off</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Foundry, Tools, and Capex
<p>Amkor's $1.5B deal; Intel Foundry revenue up 31%; Siemens' dual buys; SiC plant dies; AMD's big week; TSMC price hike; Nokia's fab buy; earnings; $300M for accelerating inference; Keysight's multiphysics; copper interconnect alternative.</p> <p>The post <a href="https://semiengineering.com/chip-industry-week-in-review-148/">Chip Industry Week In Review</a> appeared first...
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
AMD Announces More Than $10 Billion in Taiwan Ecosystem Investments to Accelerate AI Infrastructure
From Future Vision To Running Hardware: Verification At DAC 2026
<p>Last year, DAC's Engineering Track debated where verification is headed. This year in Long Beach, the emulation and prototyping hardware that will carry it takes center stage.</p> <p>The post <a href="https://semiengineering.com/from-future-vision-to-running-hardware-verification-at-dac-2026/">From Future Vision To Running Hardware: Verification At DAC 2026</a> appeared f...
Why Chip Engineers Should Care About AI-Created Behavioral Models
<p>Automating the most repetitive and time-consuming parts of behavioral model creation while keeping humans in the loop.</p> <p>The post <a href="https://semiengineering.com/why-chip-engineers-should-care-about-ai-created-behavioral-models/">Why Chip Engineers Should Care About AI-Created Behavioral Models</a> appeared first on <a href="https://semiengineering.com">Semicond...
The Impact Of AI Automation On Chip Design
<p>Change is coming, but how quickly depends on the availability of data and when chipmakers are confident enough to let AI take over.</p> <p>The post <a href="https://semiengineering.com/the-impact-of-ai-automation-on-chip-design/">The Impact Of AI Automation On Chip Design</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Power
24 power layer items collected on 2026-07-26; data center load, grid, generation, and cooling signals routed.Data Center Power Demand
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...
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...
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...
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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