Daily brief
June 6, 2026.
60 quantum research items collected on 2026-06-06; hardware, control, and industry signals routed.
Quantum
60 quantum research items collected on 2026-06-06; hardware, control, and industry signals routed.Hardware and Error Correction
Coherent room-temperature dipole synchronization in nanocavity sheets
Plasmonic nanocavities enable the synchronization of spatially distant emissive dipoles through strong near-field coupling in sub-nm gaps. We report formation of a room-temperature synchronized dipole state in locally-ordered plasmonic nanogap 2D arrays under non-resonant continuous-wave pumping. Unlike lasers, photonic Bose-Einstein condensates, or exciton-polariton condens...
Breakeven demonstration of quantum low-density parity-check codes
High-rate quantum low-density parity-check (qLDPC) codes are a leading candidate for fault-tolerant quantum computing. They feature higher encoding rates than planar alternatives such as the surface code, but their implementation often entails significant hardware hurdles like the need for long-range couplers. We leverage the flexibility of a trapped-ion quantum computer to...
We formulate stationary-density-preserving nonreversible perturbations of Fokker--Planck dynamics as gauge fields that deform relaxation spectra while leaving the invariant state fixed. When detailed balance holds, a similarity transformation maps the reversible Fokker--Planck operator to a Witten-Laplacian-type supersymmetric Hamiltonian; nonreversible gauges then appear as...
A framework for low-overhead quantum fault tolerance via spacetime lifting
Fault-tolerant quantum computation is inherently a spacetime problem, requiring not merely good static quantum error-correcting codes but also low-overhead protocols for protecting and manipulating encoded quantum information over time. Fault complexes provide a homological framework for treating such protocols as single spacetime objects. In this work, we initiate the study...
Deployed trusted-node quantum key distribution over 300 km with a multi-core fiber access link
Quantum key distribution (QKD) is increasingly considered for deployment in realistic communication networks, where long distances, heterogeneous fiber infrastructure, and coexistence with classical traffic present substantial challenges. Here, we demonstrate trusted-node QKD between Linköping University and the Stockholm hub of the Swedish national quantum communication inf...
Forbidden transitions in superconducting artificial atoms
Artificial atoms built from Josephson junctions have become a powerful tool to explore the limits of quantum optics due to their strong coupling to electromagnetic fields and their sensitivity to changes at the single-photon level. This sensitivity to quantum fluctuations complements their metrological and computational use, which are based on the precise oscillating frequen...
Barbell Codes: qLDPC Codes for Superconducting Quantum Hardware
The major challenge on the way to fault-tolerant quantum computing comes from the insufficient quality of hardware components and the difficulty of scaling their number without further compromising fidelity. Quantum Low-Density Parity-Check (qLDPC) codes offer a promising solution by encoding logical qubits with low overhead and at a comparatively high code distance. However...
We present a multilevel embedding framework for quantum chemistry calculations on a quantum computer. In our framework, a quantum algorithm treats the strongly correlated active space, while a high-level wave-function method such as coupled cluster theory or multireference perturbation theory recovers the remaining correlation in the surrounding region. A sampling-based quan...
Control and Quantum-AI Integration
Quantum element-wise transforms
Quantum algorithms for basic numerical linear algebraic tasks have proven essential for translating diverse problems to a unified quantum computational context. Many of these tasks -- e.g., applying a polynomial function to the spectrum of a matrix embedded in a unitary process (a so-called block encoding), or taking linear combinations of block encodings -- are well-address...
Benchmarking Floquet Master Equations for Periodically Driven Open Quantum Systems
The dynamics of open quantum systems is commonly described by quantum master equations derived under the assumption of weak system-bath coupling and a separation of timescales between system and bath. When the system is additionally subjected to a periodic driving, the validity of the resulting Floquet master equations is further restricted to regimes of weak or high-frequen...
Fixed-ansatz Variational Quantum Eigensolvers (VQE), such as the Unitary Coupled Cluster with Singles and Doubles (UCCSD) framework, frequently suffer from severe initialization paralyzation and zero-gradient traps when evaluated using the non-local Bravyi-Kitaev (BK) fermion-to-qubit mapping. In this work, we systematically demonstrate how the Adaptive Derivative-Assembled...
Periodic Symmetry-Adapted Encoding: Qubit Reduction in Crystalline Electronic Structure
We extend the symmetry-adapted encoding (SAE) framework to periodic electronic structure, enabling qubit-efficient quantum simulation of crystalline materials. By constructing a $Γ$-point supercell Hamiltonian from a folded $k$-point calculation and systematically identifying all applicable space-group symmetry generators -- including spin-parity, point-group, and crystal tr...
We perform detailed studies of five Hamiltonian variational ansatzes (HVA) based on the Hamiltonian of the $(1+1)$d $\mathbb{Z}_2$ lattice gauge theory. The ansatzes are designed to respect local and global symmetries of the original Hamiltonian and therefore act on a finely segmented state Hilbert space. Following Larocca et al. (2023), we numerically study the dimension of...
A universal and efficient hybrid digital-analog fermionic quantum simulator
We present a universal framework to harness fermionic ultracold atom platforms for quantum simulation, showing how variational algorithms on existing hardware can simulate many-body systems well beyond the hardware's native Hamiltonian. Our analysis provides evidence that one can quantum simulate the ground-state properties of a broad class of gapless target Hamiltonians of...
Classiq and UC Chile Launch Quantum Computing Research for Biomedical Imaging
<a href="https://thequantuminsider.com/2026/06/05/classiq-and-uc-chile-launch-quantum-computing-research-for-biomedical-imaging/" rel="nofollow" title="Classiq and UC Chile Launch Quantum Computing Research for Biomedical Imaging"><img alt="Classiq logo - TQI" class="webfeedsFeaturedVisual wp-post-image" height="695" src="https://thequantuminsider.com/wp-content/uploads/2026...
Commercial and Industry Context
Quantinuum and Mitsubishi Electric Sign Quantum Computing MOU
<a href="https://thequantuminsider.com/2026/06/05/quantinuum-and-mitsubishi-electric-sign-quantum-computing-mou/" rel="nofollow" title="Quantinuum and Mitsubishi Electric Sign Quantum Computing MOU"><img alt="Quantinuum logo - TQI" class="webfeedsFeaturedVisual wp-post-image" height="711" src="https://thequantuminsider.com/wp-content/uploads/2026/06/2026-06-05_14-33.png" sty...
<a href="https://thequantuminsider.com/2026/06/04/uk-risks-repeating-semiconductor-and-ai-mistakes-unless-government-acts-now-on-quantum-warns-cross-party-parliamentary-group/" rel="nofollow" title="UK Risks Repeating Semiconductor and AI Mistakes Unless Government Acts Now on Quantum, Warns Cross-Party Parliamentary Group"><img alt="united kingdom, flag, british flag, count...
Unrouted Items
We investigate the interacting non-Hermitian Su-Schrieffer-Heeger (SSH) model, focusing on the interplay between topology and charge ordering. Using a real-space topological marker, charge correlations, and the complex many-body spectrum, we map out the phase diagram under periodic and open boundary conditions. We show that the topological marker remains a robust diagnostic...
We present a rigorous theoretical framework for symmetry breaking and quantum irreversibility arising from stochastic Ito field reversal within a cubic-quintic nonlinear Schrodinger equation (CQ-NLSE) formalism. Starting from three physically motivated considerations, forward and backward nonlinear stochastic differential equations are derived via the Ito calculus. Kinematic...
Resource Letter QIE-1: Research in quantum information education
In celebration of the 2025 UN International Year of Quantum Science and Technology, this Resource Letter surveys the rapidly-growing field of scholarship in quantum information science and engineering (QISE) education. It is primarily written as a guide for educators wishing to get started teaching QISE using research-based teaching methods, as well as for discipline-based e...
Nanostructure modelling with early fault tolerant quantum computers
Semiconductor nanostructures are central to many developing technologies. Notably, double quantum dots are especially important for semiconductor spin-qubit architectures, quantum sensing applications, and quantum-dot solar cells. Accurate modelling is highly desirable but conventional methods can struggle when dynamics involve more than two interacting electrons. In this wo...
We propose a new concept for quantum thermal logic gates -- analogous to classical electronic logic gates -- that exploit the heat current in a coupled quantum-dot system tunnel-coupled to metallic thermal reservoirs for logic operations in quantum circuits. We obtained a remarkable one-to-one correspondence with the structure of classical electronic logic gate circuits. An...
Robustness of Entanglement Manipulation for almost i.i.d. sources
We study the robustness of asymptotic entanglement manipulation beyond the exact i.i.d. regime, focusing on Mazzola--Sutter--Renner (MSR) almost i.i.d. sources, which allow a sublinear number of deviations from a tensor-power structure. For pure MSR sources along a bipartite reference state $|φ\rangle_{AB}$, we prove that the entanglement concentration rate is robust: every...
A closed system setting for quantum thermalisation in free fermions
We study thermalisation and the possible occurrence of the Mpemba effect in a closed quantum setting that mimics the interaction of a system with thermal reservoirs coupled only at its boundaries. Specifically, we consider a tripartite geometry in which a finite chain, initially prepared at a finite temperature, is suddenly connected on both sides to two semi-infinite chains...
Reliability of asymptotic work extraction
Extracting work from quantum states is a fundamental task in quantum thermodynamics. Previous studies have primarily focused on determining the best achievable rate of work extraction, and remarkably, this characterization appeared to remain unchanged regardless of the choice of allowed processes: whether one considers the operationally motivated class of energy-conserving t...
Quantum enhanced rare event discovery and sampling
Financial crashes, cascading failures in infrastructure, and critical errors in AI systems are frequently triggered by events that occur with extremely small probability. Efficiently discovering and sampling events with probability below a threshold is therefore of critical interest. Yet this task is highly non-trivial using existing classical or quantum methods. Being rare,...
Quantum Algorithms for Triangle Cut Sparsification
Triangles capture higher-order structures in graphs and are fundamental to applications such as clustering and network analysis. To enable efficient use of such structures at scale, we study the problem of \emph{triangle cut sparsification}, which aims to reduce the graph size while approximately preserving triangle counts across every cut. We investigate \emph{quantum algor...
Non-equilibrium thermodynamics of collapse models in the strongly non-Gaussian regime
Standard objective collapse models offer a unified approach to the quantum measurement problem but predict an unphysical, indefinite increase in the energy of the system. The dissipative Diósi-Penrose (dDP) model resolves this heating issue by introducing a linear friction mechanism. However, this modification induces complex, non-Gaussian phase-space dynamics. We rigorously...
Multiple Quantum Hypothesis Testing: One-Shot Pairwise Bounds and Sharp Asymptotics
We consider Bayesian discrimination among multiple quantum states and establish a dimension-free one-shot upper bound on the minimum probability of error in terms of the sum of pairwise errors. This resolves a conjecture of Audenaert and Mosonyi [J. Math. Phys. 55 (2014)] and improves the multiple quantum Chernoff bound of Li [Ann. Statist. 44 (2016)] by removing its dimensi...
Semidefinite-programming hierarchies for classically simulable state families
Identifying whether a state family admits an irreducible quantum advantage is a fundamental task in quantum resource theory and quantum information processing. Here we study classically simulable state families, namely those residing within the convex hull of pairwise commuting families and therefore admitting a classical explanation. We develop a complete semidefinite-progr...
Charge-Conjugation Violation and Population Asymmetry in Bipartite Fermionic Lattices
Charge conjugation violation (CCV) is a central concept in particle physics and appears also for quasiparticles in quantum many-body systems, which typically relies on an embedded external symmetry breaking to the underlying system. An open question is how an intrinsic CCV mechanism could emerge and what its macroscopic consequences would be. We establish sublattice kinks in...
Long-lived dark excitons in monolayer WSe2 present promising candidates for carrying spin and valley information, but their optical access and spin manipulation have conventionally required the use of strong external magnetic fields. Here, using a ferroelectric hybrid perovskite heterostructure, we leverage the ferroelectric proximity effect to break the WSe2's in-plane rota...
Quantum-limited estimation of atmospheric turbulence via spatial mode decomposition
We establish the ultimate precision limit for estimating the optical spatial coherence radius (Fried parameter) within a quantum metrological framework. In the weak field regime, we show that spatial-mode decomposition -- originally introduced for superresolution imaging -- enables substantially more precise estimation than conventional direct imaging when the receiver apert...
Controlled time-evolution circuits select forward or backward Hamiltonian time evolution according to the state of an ancilla qubit. They are fundamental building blocks in quantum eigenvalue transformation of unitaries, Hamiltonian filtering, and related quantum algorithms. A direct realization adds ancilla control to the elementary gates of the time-evolution circuit and t...
Polymer quantum mechanics on compact configuration spaces
"Polymer quantum mechanics" is the name given to a quantization scheme inspired by loop quantum gravity in which the configuration space of the theory is chosen to have a discrete topology. Polymer quantization yields a representation of the canonical commutation relations that is genuinely distinct from the conventional "Schrödinger" representation. In this paper, we summar...
Magnetic flux as a quantized Lorentz pseudoscalar and its relation to electric charge quantization
In this paper, we re-examine the well-known question of why electric charges exist only in quantized portions. In this context, we revisit the motion of a charged particle in a field-free region around a current-carrying solenoid. Solving the corresponding Schrödinger equation leads to a simultaneous quantization condition for the magnetic flux and the electric charge. We al...
The nitrogen-vacancy (NV) center in diamond has attracted considerable attention as a highly sensitive quantum sensor that can operate at room temperature. In particular, continuous-wave optically detected magnetic resonance (CW-ODMR) is promising for a wide range of applications because of its simplicity. However, conventional AC magnetic-field sensing schemes based on CW-O...
Non-equilibrium quantum thermodynamics of a memory-bearing open-system process
We show the emergence of memory effects in the dynamics of a driven two-level system interacting with a composite environment, and analyze their influence on work, heat and entropy production. We further investigate how the interplay between driving, dissipation and memory effects, stemming from the finiteness of the environment, shapes the thermodynamic response of the syst...
No-go theorems on simulating uncertainty principle's signatures
Uncertainty principle, one of the most iconic features of quantum mechanics, was originally viewed as a fundamental limitation. Since the inception of quantum information science, researchers began to use it to achieve quantum advantages. To better understand the origin of these advantages, an essential question is: To what extent can the uncertainty principle's signatures b...
The dynamics of quantum measurements defines a precise relation between the information gained about one physical property of a system and the observable changes in another physical property of the same system. Here, we express this relation in terms of the Hilbert space superpositions of the corresponding eigenstates and show how the probability of an observable physical ch...
Optimal convex approximation of quantum channels based on $α$-affinity
Determining the minimal distance between a target channel and a convex hull of predefined set of implementable channels is a fundamental problem in quantum resource theory, and provides key guidance for experimental implementations. In this work, we develop a unified analytical framework for optimal convex approximation of quantum channels based on the quantum $α$-affinity m...
Information-Geometric Bound on the Robustness of Entanglement Generation
Entanglement generation is a central resource for quantum information processing, quantum networking, and quantum sensing. In practical implementations, however, entangling interactions are inevitably subject to uncertainty and fluctuations in the interaction strength. We investigate the robustness of entanglement generation in the presence of such imperfections and establis...
Learning Hamiltonians at Long Times
We study the problem of learning an unknown $n$-qubit Hamiltonian $H$ from $U = e^{-iHt}$ for a single time $t$, where $t$ may be arbitrarily large. For broad families of local Hamiltonians, we prove that, with high probability over $H$ and $t$, any sum of local observables $A$ that is normalized and orthogonal to $H$ satisfies $\tfrac{1}{2^n}\|[U(t),A]\|_F^2 \geq 1/\text{po...
Quantum Radar Cross Section with two-photon entangled states
We study two-photon entangled states for quantum radar cross section (QRCS), which is an extension of a single-photon QRCS formula. Since signal-idler entanglement does not provide any enhancement of the QRCS [Brandsema's PhD Thesis (2017)], we focus on signal-signal entanglement and derive the corresponding biphoton QRCS. We show that it can provide an enhancement over the...
A Class of Multipartite Entangled States Based on State Transitions
We introduce Transition states (T states), denoted by $\ket{T_k^n}$, as a class of multipartite entangled states characterized by a fixed number of state transitions between adjacent qubits. These states form equal-amplitude superpositions over all states with a specified transition count. Unlike Bell states based on two-qubit correlations, GHZ states characterized by global...
Thermalization with Gaussian Quantum Cellular Automata
We study the long-time dynamics of many-body bosonic lattice systems under translation-invariant Gaussian quantum cellular automata. We formulate two sets of conditions on GQCAs which separately guarantee thermalization of any state on the local Weyl algebra to the infinite temperature state, whenever the state is locally normal and has uniformly bounded particle density. Ou...
On the Cryptographic Structure Required for Verifying Qubits
Classically testing for the presence of anti-commuting operators on a quantum device is a critical tool underpinning recent progress in classical verification of quantum computation. While such tests can be based on cryptographic assumptions, known constructions rely on highly structured assumptions, e.g. trapdoor claw-free functions. In this work, we seek to explain this st...
SEALSQ Broadens Quantum Computing and Post-Quantum Security Strategy
<a href="https://thequantuminsider.com/2026/06/05/sealsq-expands-quantum-strategy-through-investments-in-quantum-computing-companies/" rel="nofollow" title="SEALSQ Broadens Quantum Computing and Post-Quantum Security Strategy"><img alt="SEALSQ logo - TQI" class="webfeedsFeaturedVisual wp-post-image" height="706" src="https://thequantuminsider.com/wp-content/uploads/2026/06/2...
Scientists Identify the Origin of Noise in Spin Qubit Quantum Processors
<a href="https://thequantuminsider.com/2026/06/05/scientists-identify-the-origin-of-noise-in-spin-qubit-quantum-processors/" rel="nofollow" title="Scientists Identify the Origin of Noise in Spin Qubit Quantum Processors"><img alt="" class="webfeedsFeaturedVisual wp-post-image" height="752" src="https://thequantuminsider.com/wp-content/uploads/2026/06/Screenshot-2026-06-05-at...
Quantum X Labs Adds Oren Raz to Scientific Advisory Board
<a href="https://thequantuminsider.com/2026/06/04/quantum-x-labs-adds-oren-raz-to-scientific-advisory-board/" rel="nofollow" title="Quantum X Labs Adds Oren Raz to Scientific Advisory Board"><img alt="Prof. Oren Raz" class="webfeedsFeaturedVisual wp-post-image" height="441" src="https://thequantuminsider.com/wp-content/uploads/2026/06/2026-06-04_17-04.png" style="display: bl...
Texas Governor Appoints Five to Quantum Initiative Advisory Committee
<a href="https://thequantuminsider.com/2026/06/04/texas-governor-appoints-five-to-quantum-initiative-advisory-committee/" rel="nofollow" title="Texas Governor Appoints Five to Quantum Initiative Advisory Committee"><img alt="Texas" class="webfeedsFeaturedVisual wp-post-image" height="887" src="https://thequantuminsider.com/wp-content/uploads/2026/06/Texas-1.png" style="displ...
Chips
46 chip stack items collected on 2026-06-06; memory, packaging, compute, and foundry signals routed.Compute Accelerators
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.
Oracle and NVIDIA Collaborate to Help Enterprises Accelerate Agentic AI Inference
Oracle and NVIDIA today announced a first-of-its-kind integration between NVIDIA accelerated computing and inference software with Oracle’s AI infrastructure, and generative AI services, to help organizations globally speed creation of agentic AI applications.
Memory and Advanced Packaging
Read-Centric DTCO for IGZO FeFETs 3D Heterogeneous AI memories (imec, KU Leuven)
<p>Researchers from imec and KU Leuven have published “DTCO of NOR-Type IGZO FeFETs for 3D Heterogeneous AI Memories: A Read-Centric Perspective”. Abstract excerpt “This work evaluates the viability of NOR-type IGZO FeFETs for 3D heterogeneous AI memories from a read-centric design-technology co-optimization (DTCO) perspective, spanning on-chip back-end-of-line (BEOL) RAMs a...
<p>Computex shows AI ecosystem; fully autonomous chip design; Intel targets AI racks; Nikon's 1.5 micron L/S litho; IC market rises; Apple's chiplet era; 4,500 chips per AI server rack; HBM price hikes; quantum IPO, chip and roadmap; SiC guidelines; MXenes; EV outlook; autonomous edge chiplets.</p> <p>The post <a href="https://semiengineering.com/chip-industry-week-in-review...
Packaging Technologies Redefine AI And HPC Scalability Limits At ECTC 2026
<p>Advancements in EMIB-T, co-packaged optics, and glass substrates.</p> <p>The post <a href="https://semiengineering.com/packaging-technologies-redefine-ai-and-hpc-scalability-limits-at-ectc-2026/">Packaging Technologies Redefine AI And HPC Scalability Limits At ECTC 2026</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Custom Silicon and Networking
AI-Defined Vehicles Increase Pressure On Auto Ethernet Reliability
<p>Time-sensitive networking and MACsec allow Auto Ethernet to handle safety-critical functions and enable real-time processing for AI-enabled features and agents.</p> <p>The post <a href="https://semiengineering.com/ai-defined-vehicles-increase-pressure-on-auto-ethernet-reliability/">AI-Defined Vehicles Increase Pressure On Auto Ethernet Reliability</a> appeared first on <a...
Foundry, Tools, and Capex
Unrouted Items
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 today announced a collaboration with GE HealthCare to advance innovation in autonomous imaging, focused on developing autonomous X-ray technologies and ultrasound applications.
NVIDIA, Alphabet and Google Collaborate on the Future of Agentic and Physical AI
Joint Initiatives Span Infrastructure and Open Model Optimizations, Offer Major Strides in Robotics, Drug Discovery and MoreSAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) -- Building on ...
NVIDIA Introduces HGX-2, Fusing HPC and AI Computing into Unified Architecture
GTC Taiwan—NVIDIA today introduced NVIDIA HGX-2, the first unified computing platform for both artificial intelligence and high performance computing.
How Architecture Firm WBCM Is Moving to 100% Virtualization
<p>Small IT teams often have to play big to keep up with their firm’s global operations. That’s the case at Whitney Bailey Cox & Magnani, LLC (WBCM), an architecture, engineering and construction services group that designs and builds projects for the U.S. Army Corps of Engineers, the NFL’s Baltimore Ravens, Lockheed Martin, the Ritz-Carlton and […]</p> <p>The post...
Rendering Made Easy: Iray Server Makes Light Work of Complex Designs
<p>Ever wish you could harness the power of an entire network of workstations to make light work of your most complex designs? Now you can, with Iray Server, our distributed rendering software. Available for a free 90-day trial starting today, Iray Server coordinates a network of machines as a “cluster” to speed the creation of… <a href="http://blogs.nvidia.com/blog/20...
More Users, Better Performance: NVIDIA GRID Boosts Blast Extreme in VMware Horizon
<p>What IT department wouldn’t want to be able to do more with their current infrastructure? With NVIDIA GRID, they can. NVIDIA GRID acceleration of Blast Extreme — a new protocol for optimizing the mobile cloud — is now supported in VMware Horizon 7. What’s that mean for IT managers? Reduced latency. Improved performance. And up… <a href="http://blogs.nvidia.com/blog/...
How Virtual Reality Is Making the Leap into Everyday Life
<p>Headlines about virtual reality often focus on how it’s upending the world of gaming. But VR is also revolutionizing fields across everyday life — areas like medicine, architecture, education, product design and retailing. A great example is Audi’s new virtual showroom where you can explore each of their models in vivid detail through VR. The German… <a href="http:/...
AMD Announces More Than $10 Billion in Taiwan Ecosystem Investments to Accelerate AI Infrastructure
AMD Gives Consumers and Businesses More AI PC Options with Expanded Ryzen™ AI 400 Series Portfolio
AMD and TCS to bring state-of-the-art ‘Helios’ rack-scale AI architecture to India
Accelerating Zero-Knowledge Proof Generation With Reconfigurable Hardware (KAIST)
<p>Researchers from Korea Advanced Institute of Science and Technology (KAIST) have published “ZK-Flex: A Flexible and Scalable Framework for Accelerating Zero-Knowledge Proofs”. Abstract “Zero-knowledge proofs (ZKP) allows a prover to convince a verifier of computational correctness without revealing private data, ensuring both privacy and verifiability. However, proof gene...
Analyzing Rowhammer Vulnerability in Monolithic 3D IWO eDRAM for Edge (ASU, Georgia Tech)
<p>Researchers from Arizona State University and Georgia Institute of Technology published “Thermal- and Aging-Aware Rowhammer Vulnerability Analysis of Monolithically-Integrated IWO eDRAM for Edge Platforms”. “This work presents the first comprehensive temperature- and aging-aware vulnerability analysis of amorphous Indium Tungsten Oxide (IWO) embedded DRAM (eDRAM), a...
Reduce Memory Redesigns With Shift-Left
<p>Early schematic analysis prevents late-stage rework.</p> <p>The post <a href="https://semiengineering.com/reduce-memory-redesigns-with-shift-left/">Reduce Memory Redesigns With Shift-Left</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Orbital Data Centers Are Souped-Up Satellites – For Now
<p>Satellite constellations with extra onboard compute are several steps away from handling full AI workloads for people on Earth.</p> <p>The post <a href="https://semiengineering.com/orbital-data-centers-are-souped-up-satellites-for-now/">Orbital Data Centers Are Souped-Up Satellites – For Now</a> appeared first on <a href="https://semiengineering.com">Semiconductor Enginee...
Keeping Security Algorithms Current Is Getting Harder
<p>As threats evolve faster, protecting security algorithms from design through manufacturing and across the supply chain is becoming more difficult.</p> <p>The post <a href="https://semiengineering.com/keeping-security-algorithms-current-is-getting-harder/">Keeping Security Algorithms Current Is Getting Harder</a> appeared first on <a href="https://semiengineering.com">Semi...
Power
22 power layer items collected on 2026-06-06; data center load, grid, generation, and cooling signals routed.Data Center Power Demand
Data center server energy use grows across the commercial building stock
In the Annual Energy Outlook 2026 (AEO2026), our long-term outlook, we project electricity consumed by data center servers will increase across the commercial building stock, increasing more in standalone data centers than in all other data center rooms combined. By 2050, server consumption alone reaches between 446 billion kilowatthours (BkWh) and 818 billion BkWh. The high...
Commercial electricity sales have soared in Virginia, driven by data centers
Commercial electricity sales in Virginia increased by nearly 30.0 million megawatthours (MWh) between 2019 and 2025, much faster growth than in any other state except Texas, a much larger state, according to our Annual Electric Power Industry Report. The growth in sales of electricity in Virginia is largely driven by a concentration of data centers, as well as electric vehic...
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
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...
Coal remains competitive for power generation in the central United States
In the first four months of 2026, electricity, natural gas, and coal prices suggested continued favorable economics for coal generation in MISO. The dark spread of coal, the difference between the fuel costs for coal-fired generation and the wholesale electricity price, in the Midcontinent Independent System Operator (MISO) region outpaced a similar measure of revenue relati...
Electricity generation from solar could exceed coal in ERCOT for the first time in 2026
In our most recent Short-Term Energy Outlook (STEO), we forecast that annual electric power generation from utility-scale solar will surpass that from coal for the first time in 2026 within the electricity grid that covers most of Texas. Solar generation is expected to reach 78 billion kilowatthours (BkWh) in 2026 in the electricity grid operated by the Electric Reliability...
Coal distributions for non-electric power use decline in the South
The volume of coal delivered in the United States for uses other than power generation—primarily, for manufacturing—decreased by about half in the last 15 years. Coal delivered for these purposes in the South decreased the most in percentage terms between 2010 and 2025, falling 75%, or 14.7 million short tons (MMst), according to our Annual Coal Distribution Report and Quart...
New Delhi, India (June 4, 2026) – GE Vernova Inc. (NYSE: GEV) announced today that it has signed an agreement with Powerica Limited to supply 28 of its 3.8 MW–154m* onshore wind turbines for the Botad Wind Farm in Gujarat, India. The 100 MW project marks the debut of GE Vernova’s 3.8 MW
ATLANTA, GA - (May 26, 2026) - GE Vernova Inc. (NYSE: GEV) today announced that its HA gas turbine fleet has surpassed 4 million commercial operating hours worldwide, marking an important milestone for one of the power industry’s most advanced and efficient gas turbine technologies.
GE Vernova secures order to modernize key power plants in Egypt
CAIRO, Egypt (April 29, 2026) – GE Vernova Inc. (NYSE: GEV) announced today that it received an order from an affiliate of Egyptian Electricity Holding Company (EEHC,) Middle Delta Electricity Production Company (MDEPC), to modernize power generation infrastructure and improve
GE Vernova announces new wind turbine orders from BBWind and Greenvolt Power in Germany
MADRID, SPAIN (April 23, 2026) - GE Vernova’s Wind segment announced today that it has secured agreements to supply 71.5 MWs of onshore wind turbines to BBWind and Greenvolt Power for various projects across Germany. The deals, which were booked in the Q4 of 2025, represent a significant milestone
Cooling and Electrical Infrastructure
Most planned natural gas pipeline capacity additions in 2026 and 2027 originate in Texas
Developers plan to bring approximately 44.9 billion cubic feet per day (Bcf/d) of new pipeline capacity online in the United States in 2026 and 2027, according to our latest Natural Gas Pipeline Projects Tracker. Approximately 70% (31.6 Bcf/d) of this new capacity is already under construction. More than 66% (29.7 Bcf/d) of the capacity additions originate in Texas. Louisian...
Markets and Policy
Natural gas for power generation flat this summer, record high expected in 2027
We forecast natural gas consumption by the U.S. electric power sector this summer will remain near recent highs and set a record next summer in our May Short-Term Energy Outlook (STEO). Despite a 2% increase in overall U.S. electricity demand this summer, we expect natural gas-fired electricity generation to be similar to last summer, primarily because of forecast increased...
Unrouted Items
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 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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