July 16, 2026.

Pair-Partition Constructions for CPM-Based Quantum LDPC Codes

We construct binary Calderbank--Shor--Steane (CSS) quantum low-density parity-check (LDPC) codes from circulant permutation matrices (CPMs). The construction is parameterized by column weight J, row weight L, and prime lift size P. A J x J array of pair partitions imposes linear paired-difference equations on the CPM exponents. These equations give CSS orthogonality. The mai...

Benchmarking trigonometric continuous-variable gate primitives with trapped ions

Hybrid continuous-discrete-variable quantum processors can represent bosonic degrees of freedom directly in oscillator modes, or qumodes, while using qubits for control, readout, and nonlinear operations. Recently proposed trigonometric continuous-variable (CV) gate sets promote periodic functions of oscillator quadratures to elementary operations, making them natural primit...

Universal Quantum Computation with Multi-Mode Schrödinger Cat States Stabilized by Non-Local Dissipation Engineering

Schrödinger cat states provide a hardware-efficient platform for bosonic quantum error correction by encoding logical information in protected manifolds of harmonic oscillators. While previous work has demonstrated the dissipative stabilization of multi-mode Schrödinger cat states as robust quantum memories, a framework for universal quantum computation has remained unavaila...

Temporal Fourier Optics Reveals Hidden Hybridized Light-Matter States

Spectral measurements provide fundamental insights into wave systems by revealing resonances, mode hybridization, and light-matter interactions. However, intrinsic dissipation and measurement-induced spectral broadening often conceal the underlying hybridized light-matter states that give rise to measured spectra. Here, we establish a space-time Fourier correspondence that i...

Phonon down-conversion by normal metals for superconducting devices

Thanks to low dissipation, superconducting devices are promising for a number of applications, such as detectors and implementations of quantum computation. However, their working can be adversely impacted by quasiparticles, which is why so-called quasiparticle poisoning mechanisms and their mitigation are under intense investigation. Here we focus on one poisoning mechanism...

Post-Critical Meson Dynamics of Kibble-Zurek Excitations in a 5,564-Qubit Quantum Annealer

Quantum phase transitions provide a controlled route for generating many-body excitations, but the dynamics after the critical point can be as important as the initial defect creation. Recent progress in quantum annealing has made it possible to access coherent nonequilibrium dynamics in programmable Ising systems with thousands of superconducting qubits. Here we use this ca...

Wireless millikelvin interconnects for superconducting quantum hardware

Scalable quantum computing is limited by the dense network of electrical interconnects linking cryogenic quantum processors to room-temperature control electronics. To overcome this bottleneck, considerable effort has focused on cryogenic CMOS electronics and microwave-to-optical transduction, aiming to reduce wiring complexity and thermal loading. Wireless interconnects hav...

Quantum Algorithm for Elliptic Curve Discrete Logarithms with Space-Efficient Point Addition

The Elliptic Curve Discrete Logarithm Problem (ECDLP) is a fundamental problem in cryptography, and reducing the resource requirements of quantum algorithms for solving ECDLP is an important goal. In this work, we present a space-efficient quantum algorithm for solving the ECDLP over prime fields, achieving an implementation with only $3n+6\lfloor \log_2 n \rfloor+O(1)$ logi...

A Lie-algebraic approach to non-Markovian quantum dynamics

In this paper, we study the non-Markovian quantum dynamics in quantum computations from the perspective of a Lie algebraic approach based on numerical analysis. By vectorizing the density matrix of quantum states, the non-Markovian evolutions can be represented with high-dimensional linear time-varying equations, where the time-varying parameters arise from the non-Markovian...

Quantum Topological Data Encoding

Many datasets encountered across a wide range of domains possess rich geometric and topological structure that is difficult to capture using conventional vector-based representations. Quantum machine learning offers the possibility of processing high-dimensional data in Hilbert spaces, but its practical success depends critically on how classical data is encoded into quantum...

Inherent interpretability provides inherent value in quantum machine learning

The field of quantum machine learning (QML) evolved to value models believed to most directly rival those providing utility in classical ML, namely large-scale neural networks. Although more recently, classical ML has been learning a hard lesson with respect to deploying un-interpretable neural networks in the wild: model interpretability matters for domain-adapted co-design...

Bridging Frustration and Non-Hermiticity via COMPASS: An Adaptive Biorthogonal Neural Quantum State Framework

In this work, we introduce a complementary optimization method for progressive and adaptive state search (COMPASS) based on biorthogonal adaptive recurrent neural quantum states. Our approach combines an adaptive autoregressive architecture with a biorthogonal variational Monte Carlo scheme as well as a complementary optimization scheme that alternates between energy and var...

Machine learning development for quantum computing and neutrino physics

This thesis investigates the application of machine-learning methods in the context of quantum computing and neutrino physics, with particular emphasis on the construction of effective representations for complex, high-dimensional data. The first part of the work is devoted to Quantum Extreme Learning Machines (QELMs), a hybrid quantum--classical framework in which classical...

Basis-Independent Coherence Dynamics of Tripartite States under Pure Dephasing

Quantum coherence is a fundamental quantum resource whose preservation under environmental interactions is essential for quantum information processing. While most studies have focused on basis-dependent coherence measures, the dynamics of intrinsic coherence quantified by basis-independent measures remain largely unexplored. In this work, we investigate the dynamics of basi...

QuSecure Lists QuProtect R3 on AWS Marketplace for U.S. Intelligence Community

<a href="https://thequantuminsider.com/2026/07/15/qusecure-quprotect-r3-listed-in-aws-icmp-for-the-us-federal-government/" rel="nofollow" title="QuSecure Lists QuProtect R3 on AWS Marketplace for U.S. Intelligence Community"><img alt="QuSecure logo - TQI" class="webfeedsFeaturedVisual wp-post-image" height="708" src="https://thequantuminsider.com/wp-content/uploads/2026/07/2...

A Physics-Grounded QUBO Encoding of Irrigation Scheduling for QAOA

Rotational irrigation scheduling in water-scarce Central Asia is a densely coupled combinatorial problem: soil-moisture memory links each irrigation decision to all later days within a zone, field adjacency couples zones on overlapping window days, and rigid canal rotations quantize water delivery in time. We formulate it as a Quadratic Unconstrained Binary Optimization (QUB...

HybridQC: Hardware-Grounded Simulation of Tightly Integrated Hybrid Quantum-Classical Systems

Hybrid quantum-classical application performance is increasingly limited by classical control, host-to-QPU communication, and scheduling rather than quantum execution. Existing simulators and runtime interfaces analyze individual kernels but fail to address system-topology questions, such as controller bottlenecks, diminishing returns of QPU capacity, or resource contention...

A Reality Check on Quantum Optimisation: Evidence from an Industrial Case Study

Quantum Processing Units promise speed-ups for selected computational problems, including combinatorial optimisation, but their industrial utility remains an open challenge. We study an industrial variant of the Job-Shop Scheduling Problem using quantum, quantum-inspired, and classical methods across three platforms: IBM Quantum, the D-Wave Quantum Annealer, and the Fujitsu...

PsiQuantum Strengthens Executive Leadership with New Appointments

<a href="https://thequantuminsider.com/2026/07/16/psiquantum-strengthens-executive-leadership-with-new-appointments/" rel="nofollow" title="PsiQuantum Strengthens Executive Leadership with New Appointments"><img alt="PsiQuantum executive appointments" class="webfeedsFeaturedVisual wp-post-image" height="718" src="https://thequantuminsider.com/wp-content/uploads/2026/07/2026-...

What Does it Mean to be ‘Quantum’? A Physicist Explains The Basics Behind Einstein’s Spooky Actions at a Distance

<a href="https://thequantuminsider.com/2026/07/16/what-does-it-mean-to-be-quantum-a-physicist-explains-the-basics-behind-einsteins-spooky-actions-at-a-distance/" rel="nofollow" title="What Does it Mean to be ‘Quantum’? A Physicist Explains The Basics Behind Einstein’s Spooky Actions at a Distance"><img alt="IBM" class="webfeedsFeaturedVisual wp-post-image" height="674" src="...

Mind Success Unveils Quantum Materials Discovery Platform, Digital Twin Software for Hardware Development

<a href="https://thequantuminsider.com/2026/07/16/mind-success-unveils-quantum-materials-discovery-platform-digital-twin-software-for-hardware-development/" rel="nofollow" title="Mind Success Unveils Quantum Materials Discovery Platform, Digital Twin Software for Hardware Development"><img alt="" class="webfeedsFeaturedVisual wp-post-image" height="887" src="https://thequant...

Sail membranes for optomechanical accelerometry

Strained membrane resonators have emerged as a promising platform for optomechanical accelerometry; however, the desired combination of low frequency and high $Q$-mass product requires a rethinking of their dissipation dilution engineering. Applying Bayesian optimization to a Si$_3$N$_4$ membrane, we discover a class of sail-like trampoline resonators in which the frequency...

Cluster-configurational study of G-center in Silicon

Understanding the properties of defects is imperative for proper use for variety of applications including quantum computing. In this paper, we use the multiconfigurational self consistent field (MCSCF) combined with DFT optimized geometry in order to investigate the spin and optical properties of G centers in Silicon. By utilizing quantum chemistry based methods, we show ex...

Building Shor's Algorithm in Lean: An Agentic Formalization of Quantum Attacks on RSA-2048 and P-256

Large language models are increasingly assisting with demanding formal theorem-proving tasks, particularly when grounded in machine-checked libraries such as Lean. Agentic systems further amplify this process by searching, reusing, and extending existing formal developments to uncover new discoveries. In quantum computing, Shor's algorithm and its variants present such a dem...

Reshaping quantum annealing landscapes with diagonal catalysts

Quantum annealing is often limited by population trapped in local minima many spin flips from the solution. We introduce a mathematical framework to understand the connection between energy and Hamming distance in optimization problems. Using this, we build ZZ-catalysts from ground-state patterns of small frustration-free subproblems that make configurations far from the sol...

Acoustic Firewalls: Analogue Gravity Perspective on the AMPS Paradox

The monogamy of quantum entanglement, applied by Almheiri-Marolf-Polchinski-Sully (AMPS) to black holes, obstructs a smooth horizon vacuum after the Page time. We transcribe this argument to Hawking-like phonon radiation from a sonic horizon in the Unruh acoustic metric. An exact purity identity shows that post-Page-time unitarity forces the entanglement between an outgoing...

Temporal Entanglement from Twist Correlators in 2d Conformal Field Theory and Holography

We formulate timelike entanglement entropy and its Rényi extension in two-dimensional conformal field theory through the analytic continuation of replica twist correlators to time-ordered, timelike-separated insertions. This field-theoretic construction grounds and generalizes recent developments, and applies to temporal subregions of arbitrary extent. Within three-dimension...

Nonreciprocal Relaxation Acceleration

Driven by recent discoveries regarding the quantum Mpemba effect, the anomalous relaxation dynamics of open quantum systems have garnered significant attention. While expediting thermalization to equilibrium has been extensively studied, dynamically accelerating the convergence toward nonequilibrium steady states remains a formidable challenge. In this article, we find a tra...

Quantum observables for probabilistic classical particles

The classical observables of position and momentum are not well adapted to particles in a microphysical situation where typical probability distributions are characterized by a substantial dispersion. We propose the use of more robust quantum observables for probabilistic classical particles. The quantum observables are statistical observables which do not take fixed values...

A Reservoir Computing Approach to Quantum Gate Synthesis

Quantum gate synthesis is essential for implementing quantum algorithms on real hardware, yet existing methods are often computationally demanding. Here, we introduce a novel approach based on reservoir computing, which we name Group Reservoir Computing, an efficient machine-learning paradigm for learning temporal dynamics whose training reduces to a single linear regression...

Continuous limit of the square well problem in quantum mechanics

The free-particle and square-well potentials are two of the most emblematic problems in quantum mechanics, illustrating essential concepts such as matter waves, energy quantization, and bound states. It is therefore natural to consider how the free-particle solutions emerge from the square well as the width approaches infinity. In this work, we present a systematic procedure...

Markovian evolution from a novel scheme

The Markovian dynamics of open quantum many-body systems are typically governed by the Lindblad master equation, yet obtaining the reduced density matrix for bosonic and fermionic systems remains a formidable numerical challenge due to the exponential growth of the Hilbert space. Here, we introduce a computationally efficient framework for constructing the reduced density ma...

A phase transition in the exactness of the NPA hierarchy at the critical doubly-tilted CHSH functional

Gigena et al. [npj Quantum Inf. 11, 82 (2025)] proved the exact quantum maximum of the doubly-tilted CHSH functional $B_{αβ}=α\langle A_0\rangle+β\langle B_0\rangle+\mathrm{CHSH}$ and observed that the NPA level required to reach it grows without evident bound toward the critical line $α+β=2$. We quantify the mechanism on the symmetric slice $s=2-α-β$: (i) the quantum value...

No finite level of the NPA hierarchy is exact for the doubly-tilted CHSH functional near the critical tilt

Gigena, Panwar, Scala, Araujo, Farkas and Chaturvedi [npj Quantum Inf. 11, 82 (2025)] determined the quantum maximum of the doubly-tilted CHSH functionals, observed that the Navascues-Pironio-Acin level needed for exactness grows without evident bound toward the critical tilt, and asked whether any finite level suffices. We answer this in the negative. For the symmetric crit...

Precoding-based protocols for entanglement assisted linear computation over a quantum many-to-one network

In this work, we consider the problem of computing a linear combination over a noiseless quantum many-to-one network. There are $k$ senders, Alice$_1$, $\ldots$, Alice$_k$, and a single receiver, Bob. Each Alice$_i$ has a data vector $W_i \in \mathbb{F}^{m_i}$, where $\mathbb{F}$ is a finite field. Bob wants to compute the linear combination $Y = V_1 W_1 + V_2 W_2 + \cdots +...

An exact algorithm for U(N) matrix models in the gauge-invariant singlet sector

Matrix models appear as fundamental descriptions of M-theory and D-brane dynamics, and via the gauge/gravity duality their gauge-invariant, or singlet, sector describes the purely gravitational degrees of freedom in the holographic dual. We present a new exact algorithm for computing observables of bosonic U(N) matrix models in the gauge-invariant singlet sector. This sector...

Effects of coherent and incoherent measurement imperfections on multipartite quantum nonlocality and quantum key distribution

Multipartite Bell nonlocality is a central resource for device-independent quantum information protocols, but its practical certification is inevitably affected by imperfect measurements. We analyze how coherent angular misalignment and incoherent outcome flipping affect Bell-value degradation and nonlocality thresholds in $n$-partite GHZ states based on the Mermin, Svetlich...

The potential of quantum computers for Particle Image Velocimetry

Particle Image Velocimetry (PIV) is the prime image-processing technique to measure and visualize velocity fields of laminar and turbulent flows. The velocity field vectors are obtained with sub-pixelaccuracy by analyzing cross-correlations, empowered by Fast Fourier Transforms (FFT). Here, we present a quantum algorithm with multidimensional quantum Fourier Transforms, term...

Separating Geometry From Interference in Constrained Quantum Optimization

We study the separation of geometric effects from quantum interference in quantum optimization algorithms. Constrained optimization problems such as routing, assignment, and scheduling are often encoded as product spaces of local variables, together with global feasibility penalties. The central algorithmic question we address is how a constraint-preserving mixing operator t...

Security Evaluation of Laser-Phase-Noise Quantum Random Number Generators with Intrinsic Correlations

Quantum random number generators are essential for achieving information-theoretical security in modern cryptographic systems. Among various implementations, laser phase noise schemes are widely favored for their simple architecture and high integration potential. However, the intrinsic correlations in the raw data are often neglected, which violates the independent and iden...

Quantum memory advantage for quantum process tomography

Quantum process tomography, the task of learning an unknown quantum channel from black-box access, is a central problem in quantum information. In this setting, protocols with quantum memory can coherently store and jointly process quantum information obtained from multiple channel uses, whereas protocols without quantum memory must measure after each use and retain only a c...

Security evaluation of quantum distance-bounding protocols via semidefinite programming

Quantum distance-bounding (QDB) protocols let a verifier check that a prover is both genuine and physically nearby. During a timed fast phase of quantum communication, the verifier measures round-trip times to obtain an upper bound on the prover's distance. For a uniform comparison, we isolate the fast phase and study one-round distance-fraud (DF) and mafia-fraud (MF) games....

Deterministic single-electron trapping on solid neon using engineered dielectric surface geometry

Levitating electron qubit on the surface of solid neon has recently emerged as a promising and intrinsically noise-resilient platform for quantum information processing. Their ultra-clean, inert environment suppresses conventional decoherence pathways associated with lattice disorder, charge traps, and nuclear-spin baths that limit coherence in semiconductor qubits. Yet, unc...

Suppressing Detuning-Induced Bias in Ramsey Magnetometry with Composite Pulses

Quantum sensing estimates a physical parameter encoded in the state of a probe; with independent spin probes the precision follows the standard quantum limit. Studies of sensing precision often assume that the parameters entering the model, such as the noise, are known. In practice these parameters are not always known, and a mismatch between the assumed and actual values in...

Quantum annealing in SU(3) multiplet space with nonlocal drivers

A theoretical framework for quantum annealing based on $\mathfrak{su}(3)$ algebra is proposed, and applied to the problem of overcoming first-order transitions in rugged energy landscapes. Conservation of the Casimir invariant means that one can work with irreducible representations of $\mathfrak{su}(3)$, avoiding the exponentially large Hilbert spaces of spin glass systems....

ESA Brings Quantum Computing System to Earth Observation Research Centre

<a href="https://thequantuminsider.com/2026/07/16/esas-first-quantum-computer-will-shift-computing-frontiers-in-space/" rel="nofollow" title="ESA Brings Quantum Computing System to Earth Observation Research Centre"><img alt="ESA quantum computer" class="webfeedsFeaturedVisual wp-post-image" height="718" src="https://thequantuminsider.com/wp-content/uploads/2026/07/2026-07-1...

Arq Raises $1.4 Million Pre-Seed Round to Lay The Foundations For The Quantum Internet

<a href="https://thequantuminsider.com/2026/07/16/arq-raises-1-4-million-pre-seed-round-to-lay-the-foundations-for-the-quantum-internet/" rel="nofollow" title="Arq Raises $1.4 Million Pre-Seed Round to Lay The Foundations For The Quantum Internet"><img alt="arq" class="webfeedsFeaturedVisual wp-post-image" height="887" src="https://thequantuminsider.com/wp-content/uploads/20...

QED-C Brings Quantum Industry to Capitol Hill for 2026 Technology Showcase

<a href="https://thequantuminsider.com/2026/07/15/qed-c-brings-quantum-industry-to-capitol-hill-for-2026-technology-showcase/" rel="nofollow" title="QED-C Brings Quantum Industry to Capitol Hill for 2026 Technology Showcase"><img alt="QED-C" class="webfeedsFeaturedVisual wp-post-image" height="494" src="https://thequantuminsider.com/wp-content/uploads/2026/07/Screenshot-2026...

Aqarios Lists on Düsseldorf Exchange, Says It Is Germany’s First Pure-Play Public Quantum Computing Company

<a href="https://thequantuminsider.com/2026/07/15/aqarios-lists-on-dusseldorf-exchange-says-it-is-germanys-first-pure-play-public-quantum-computing-company/" rel="nofollow" title="Aqarios Lists on Düsseldorf Exchange, Says It Is Germany&#8217;s First Pure-Play Public Quantum Computing Company"><img alt="Aqarios" class="webfeedsFeaturedVisual wp-post-image" height="887" src="...

High Q Technologies Expands Quantum Protein Analysis Platform For Alzheimer’s Drug Discovery

<a href="https://thequantuminsider.com/2026/07/15/high-q-technologies-expands-quantum-protein-analysis-platform-for-alzheimers-drug-discovery/" rel="nofollow" title="High Q Technologies Expands Quantum Protein Analysis Platform For Alzheimer&#8217;s Drug Discovery"><img alt="A brain displayed with glowing blue lines." class="webfeedsFeaturedVisual wp-post-image" height="900"...

NAVER Expands AI Infrastructure With NVIDIA to Serve Surging Global AI Demand

NVIDIA and NAVER today announced that NAVER will expand sovereign AI infrastructure, starting at 55 megawatts with plans to move to gigawatt scale using the NVIDIA DSX™ platform to rapidly design, build and scale full-stack, end-to-end AI platforms that can serve enterprises, industries and government.

NVIDIA RTX PRO Servers With Blackwell Coming to World’s Most Popular Enterprise Systems

NVIDIA today announced that the NVIDIA RTX PRO™ 6000 Blackwell Server Edition GPU is coming to the world’s most popular enterprise servers, speeding the shift from traditional CPU systems to accelerated computing platforms.

NVIDIA Builds World’s First Industrial AI Cloud to Advance European Manufacturing

NVIDIA today announced it is building the world’s first industrial AI cloud for European manufacturers. This Germany-based AI factory will feature 10,000 GPUs, including through NVIDIA DGX™ B200 systems and NVIDIA RTX PRO™ Servers, and enable Europe’s industrial leaders to accelerate every manufacturing application, from design, engineering and simulation to factory digital...

NVIDIA DGX Cloud Lepton Connects Europe’s Developers to Global NVIDIA Compute Ecosystem

NVIDIA today announced the expansion of NVIDIA DGX Cloud Lepton™ — an AI platform featuring a global compute marketplace that connects developers building agentic and physical AI applications — with GPUs now available from a growing network of cloud providers.

Europe Builds AI Infrastructure With NVIDIA to Fuel Region’s Next Industrial Transformation

NVIDIA today announced it is working with European nations, and technology and industry leaders, to build NVIDIA Blackwell AI infrastructure that will strengthen digital sovereignty, support economic growth and position the continent as a leader in the AI industrial revolution.

NVIDIA Announces DGX Cloud Lepton to Connect Developers to NVIDIA’s Global Compute Ecosystem

NVIDIA today announced NVIDIA DGX Cloud Lepton™ — an AI platform with a compute marketplace that connects the world’s developers building agentic and physical AI applications with tens of thousands of GPUs, available from a global network of cloud providers.

Foxconn Builds AI Factory in Partnership With Taiwan and NVIDIA

NVIDIA and Foxconn Hon Hai Technology Group today announced they are deepening their longstanding partnership and are working with the Taiwan government to build an AI factory supercomputer that will deliver state-of-the-art NVIDIA Blackwell infrastructure to researchers, startups and industries.

NVIDIA Blackwell GeForce RTX Arrives for Every Gamer, Starting at $299

NVIDIA today announced the NVIDIA GeForce RTX™ 5060 family of GPUs, including two graphics cards that deliver neural rendering and NVIDIA Blackwell architecture innovations for every gamer — starting at just $299.

AMD Announces Production Ramp of Next-Generation AMD EPYC Processor “Venice” on TSMC 2nm Process Technology

Can Fine-Pitch Hybrid Bonding Go High Volume?

<p>Hybrid bonding already works in production, but finer-pitch die-to-wafer integration must preserve fab-level surface and alignment control at back-end volumes and costs. </p> <p>The post <a href="https://semiengineering.com/can-fine-pitch-hybrid-bonding-go-high-volume/">Can Fine-Pitch Hybrid Bonding Go High Volume?</a> appeared first on <a href="https://semiengineering.co...

Blog Review: July 15

<p>PCIe ATS verification; physical AI; adopting AI EDA; custom AMBA Viz plugins; V2G; fab construction workforce.</p> <p>The post <a href="https://semiengineering.com/blog-review-july-15-3/">Blog Review: July 15</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>

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.

Palantir and NVIDIA Team Up to Operationalize AI — Turning Enterprise Data Into Dynamic Decision Intelligence

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.

Saudi Arabia and NVIDIA to Build AI Factories to Power Next Wave of Intelligence for the Age of Reasoning

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 &#38; 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 [&#8230;]</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&#8230; <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&#8230; <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&#8230; <a href="http:/...

AMD Commits up to £2 Billion to Accelerate AI Innovation and Research in the United Kingdom

AMD Announces More Than $10 Billion in Taiwan Ecosystem Investments to Accelerate AI Infrastructure

AMD Announces “Advancing AI 2026”

AMD Gives Consumers and Businesses More AI PC Options with Expanded Ryzen™ AI 400 Series Portfolio

AMD and Nutanix Announce Strategic Partnership to Advance an Open and Scalable Platform for Enterprise AI

Why Metal TIM Warpage Simulations Fail—And How To Fix Them

<p>Characterizing the properties of thermal interface materials under actual application conditions. </p> <p>The post <a href="https://semiengineering.com/why-metal-tim-warpage-simulations-fail-and-how-to-fix-them/">Why Metal TIM Warpage Simulations Fail—And How To Fix Them</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>

From Feature-Scale Simulation To Digital Twins: Helping Process Engineers Tackle Growing Complexity

<p>Physics-grounded workflows help process teams to explore, understand, and act on a rapidly expanding innovation space.</p> <p>The post <a href="https://semiengineering.com/from-feature-scale-simulation-to-digital-twins-helping-process-engineers-tackle-growing-complexity/">From Feature-Scale Simulation To Digital Twins: Helping Process Engineers Tackle Growing Complexity</...

Optimizing The Nano-TSV-to-BPR Connection In Backside Power Networks

<p>A realistic virtual model uncovers the impact of rounded corners on sensitivity to overlay-induced resistance. </p> <p>The post <a href="https://semiengineering.com/optimizing-the-nano-tsv-to-bpr-connection-in-backside-power-networks/">Optimizing The Nano-TSV-to-BPR Connection In Backside Power Networks</a> appeared first on <a href="https://semiengineering.com">Semicondu...

New Nonvolatile Memory Winners Emerge

<p>RRAM, MRAM have promising futures, while FeRAM lurks, and UltraRAM plans a debut. </p> <p>The post <a href="https://semiengineering.com/new-nonvolatile-memory-winners-emerge/">New Nonvolatile Memory Winners Emerge</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>

Accelerating Sustainability With Smart Manufacturing

<p>An Industry 4.0 technology roadmap for semiconductor device makers that covers carbon emissions, water, and hazardous waste.</p> <p>The post <a href="https://semiengineering.com/accelerating-sustainability-with-smart-manufacturing/">Accelerating Sustainability With Smart Manufacturing</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a...

AI In Chip Design: Lots Of Promise, Plenty Of Unanswered Questions

<p>Where AI will be successful, who will benefit, and how that will affect the design process.</p> <p>The post <a href="https://semiengineering.com/ai-in-chip-design-lots-of-promise-plenty-of-unanswered-questions/">AI In Chip Design: Lots Of Promise, Plenty Of Unanswered Questions</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>

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 -&nbsp;(May 12, 2026) ENKA and GE Vernova Inc (NYSE: GEV) today announced the start of commercial operations at the 852&nbsp;megawatts (MW) Kırklareli power plant in Kırklareli, about 20 miles from the Bulgarian border in Türkiye. The facility is the&nbsp;first HA-powered plant

Solar generation in CAISO surpassed natural gas in the first five months of 2026

In the first five months of 2026, utility-scale solar generation surpassed natural gas generation in CAISO. Solar electricity generation in the California Independent System Operator (CAISO) over the first five months of 2026 increased 21% compared with the same period in 2024, and natural gas generation decreased by 60%, data from our Hourly Electric Grid Monitor shows.

Largest wind farm in the United States slated to begin commercial operations

The SunZia Wind Project, the largest wind farm in the United States, is slated to begin commercial operations this month. The wind farm, located in New Mexico, has a total net summer generating capacity of 3,650 megawatts (MW) and is composed of 916 wind turbines. SunZia's capacity is more than three times larger than the next two largest wind farms, Alta Wind in Southern Ca...

China's nuclear power capacity nearly doubled since 2016

From 2016 to 2024, China's nuclear generation capacity increased 76% (24 GW), based on our International Energy Statistics (IES) data. According to the International Atomic Energy Agency's Power Reactor Information System (PRIS), China added an additional 1.1 GW of nuclear power capacity in 2025 and 2.2 GW in 2026 (through May). China is continuing to build out its nuclear g...

GE Vernova to deliver SF₆-free grid hubs for Stromnetz Berlin

BERLIN, Germany, (16 July 2026):&nbsp;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&amp;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&nbsp;- June 23, 2026 – GE Vernova Inc.&nbsp;(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

GE Vernova’s New Sustainability Report Highlights Progress Adding New Power to the Grid, Enabling People to Thrive, Reducing Carbon Intensity, and Advancing Breakthrough Energy Technologies

Cambridge, MA (June 17, 2026) –&nbsp;GE Vernova Inc. (NYSE: GEV)&nbsp;today released its&nbsp;2025 Sustainability&nbsp;Report,&nbsp;demonstrating&nbsp;continued progress toward its mission to electrify the world to thrive and decarbonize, with an emphasis on moving bold and innovative breakthrough

GE Vernova Introduces GridOS® for Transmission and New AI Whitepapers at Orchestrate 2026

ATLANTA, GA., June 9, 2026&nbsp;– GE Vernova (NYSE: GEV) today introduces GridOS for Transmission and released two new AI whitepapers addressing grid planning and autonomous grid-edge operations at Orchestrate 2026, the company's annual grid software conference bringing together utility leaders,

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&nbsp;(May 4, 2026) –&nbsp;GE Vernova Inc.&nbsp;(NYSE: GEV) announced today that it has secured an order from Megha Engineering &amp; 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