Daily brief
May 25, 2026.
70 quantum research items collected on 2026-05-25; hardware, control, and industry signals routed.
Quantum
70 quantum research items collected on 2026-05-25; hardware, control, and industry signals routed.Hardware and Error Correction
Time crystals in cavity-BEC systems
The understanding of light-induced dynamical states continues to be a challenging and fruitful pursuit of science. This pursuit is supported by quantum simulation of dynamical phenomena, e.g., in ultracold atom systems. Typically, ultracold atom dynamics are read out destructively, via time-of-flight imaging, limiting a detailed analysis. However, atom-cavity systems provide...
Complementing Quantum Error Correction in Quantum Metrology via Swap Test
The precision and sensitivity achievable in quantum metrology are often compromised by the presence of noise. While quantum error correction has emerged as a promising strategy, it is ineffective in addressing noise that is indistinguishable from the signal. To address this challenge, virtual state purification was introduced as a complementary approach to quantum error corr...
Optimizing Parallel Execution of Commuting Pauli Product Rotations
Fault-Tolerant Quantum Computation (FTQC) permits parallel execution of mutually commuting Pauli Product Rotations (PPRs), but per-qubit access point/port limits (e.g. two X and two Z edges on the surface code) force commuting groups that exceed the budget to be split, inflating circuit depth. We propose two heuristics for reducing this hardware-limited depth: 1. clique resh...
Atom-Photon Bound States in Fractal Photonic Lattices: Localization Length and Anomalous Diffusion
We study atom-photon bound states seeded by two-level emitters coupled to self-similar photonic lattices. By expressing the photonic Green's function through the heat kernel, we show that the far-field localization length obeys $ξ\sim Δ^{-1/d_w}$, with the detuning $Δ$ from the lower spectral edge and the walk dimension $d_w$ of the underlying fractal. This scaling is contro...
We propose a multiphoton heralding scheme using an optical parametric amplifier (OPA) that converts squeezed vacuum into two families of non-Gaussian states: large-amplitude squeezed Schrödinger cat states and low-order parity-selective Fock superpositions. By injecting m photons into the idler port and detecting n photons at the output, effective high-order photon subtracti...
Asymptotic Limits of Entanglement Distribution
Reliable distribution of quantum entanglement over long distances is a central challenge in quantum information science, fundamentally limited by decoherence in noisy communication channels. In this work, we investigate the asymptotic limits of entanglement distribution across quantum networks utilizing intermediate repeater stations and local operations and classical commun...
Hybrid Quantum-Classical Corrective Diffusion Modeling for Meteorological Downscaling
Statistical downscaling is a crucial component of the weather modeling field, where high-resolution outputs must be reconstructed from coarse-resolution inputs with the full cost of dynamical refinement. In this work, we investigate a hybrid quantum-classical corrective diffusion model for probabilistic statistical downscaling of weather fields. The proposed model inserts va...
Modeling the Quantum Photon Statistics in Hybrid Light-Matter Integrated Circuits
Strong light-matter coupling between a guided electromagnetic mode and an excitonic semiconductor transition gives rise to exciton-polaritons with optical nonlinearities far exceeding those of conventional photonic platforms. Utilizing these nonlinearities in the few-particle regime, where quantum signatures such as photon antibunching, sub-Poissonian statistics and non-triv...
Control and Quantum-AI Integration
Convexity and non-Markovianity of Weyl Maps
We investigate the emergence of non-Markovian dynamics in finite-dimensional open quantum systems governed by Weyl dynamical maps and their convex combinations. Using the Hermite normal form, we provide a complete classification of the subgroups of the discrete phase space $\mathbb{Z}_d \times \mathbb{Z}_d$, establishing the algebraic framework underlying the Weyl maps. We c...
Microscopic two-level systems (TLS) -- ubiquitous atomic-scale defects in solid-state quantum devices -- are a dominant source of qubit decoherence, yet their role is often considered local and short-memoried. Here, we report the observation of a coherent TLS that couples simultaneously to two spatially distant superconducting qubits. The TLS is identified to reside within t...
The multi-angle Quantum Approximate Optimization Algorithm (ma-QAOA) extends the Quantum Approximate Optimization Algorithm (QAOA) by assigning a larger number of independent variational parameters, thereby increasing expressivity and improving performance at low circuit depths. However, this larger parameterization makes training more difficult and requires repeated circuit...
Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks
Accurate classification of microscopic blood cells is still a critical task in medical image analysis, where subtle variations and limited data can challenge conventional deep learning models. As such, we investigate in this work the potential of Hybrid Quantum-Classical Neural Networks (HQNNs) to enhance feature representation and improve classification performance in this...
Local-Observable-Guided Generative Quantum Circuits for Degenerate Ground Spaces
Searching for degenerate ground spaces in quantum many-body systems is central to understanding spontaneous symmetry breaking and topological order. Although existing numerical methods can approximate individual ground states with high accuracy, recovering the full degenerate space remains a substantial challenge. Here we tackle this problem using a hybrid generative quantum...
Commercial and Industry Context
We propose a quantum-Hamiltonian-learning-based sequential reconstruction framework for dynamic two-dimensional magnetic fields using a local likelihood model derived from a nitrogen-vacancy center spin-1 Hamiltonian. The latent field is not observed directly; instead, local measurements are generated through nitrogen-vacancy spin dynamics governed by local magnetic-field va...
Generalized Shift Vector as the Intrinsic Dipole of Many-Body Correlated Electronic States
Shift vectors play a central role in nonlinear optics and transport phenomena, where they are usually understood as charge-center shifts associated with transitions between quantum states. Here we show that the same geometric structure can be more fundamentally understood as the intrinsic dipole moment of a single correlated state. Our derivation clarifies the local and glob...
Emmanuel Macron Announces an Additional €1 Billion ($1.16B USD) in Funding for France’s Quantum Plan
<p>French President Emmanuel Macron announced an additional funding of €1 Billion ($1.16B USD) for the country's Quantum Plan. The Quantum Plan was original funded at €1.8 billion for the period 2021-2025 and then supplemented in 2024 by €500 million from a program to support public procurement in the defense sector. This new announcement is in [...]</p> <p>The post <a href=...
Xanadu Establishes a Synthetic At-the-Market Equity Facility to Raise up to $300 Million
<p>Xanadu Quantum Technologies (Nasdaq/TSX: XNDU) has established a synthetic at-the-market equity facility allowing the company to raise via private placements up to $300 million over the next three years in Class B subordinate voting shares. Partnering with Yorkville Advisors, this facility gives Xanadu a flexible, opportunistic mechanism to inject capital directly into it...
EPB and University of Tennessee at Chattanooga Launch $6.8 Million Quantum Workforce Initiative
<p>The Board of Directors for EPB has approved a formal resolution establishing a $6.8 million USD joint funding partnership with the University of Tennessee at Chattanooga (UTC). The matching investment allocates $850,000 annually from each institution over a four-year operational term. The programmatic mandate expands regional academic infrastructure, funds applied researc...
Flatiron Institute Tensor Network Algorithm Overturns Historical D-Wave Quantum Supremacy Claim
<p>Physicists at the Center for Computational Quantum Physics (CCQ) at the Simons Foundation’s Flatiron Institute, in collaboration with Boston University, have developed a classical algorithm that successfully simulates complex three-dimensional quantum dynamics previously claimed to be impossible without a quantum computer. Published in Science, the study refutes a high-pr...
Alice & Bob Secures NVentures Backing and Backs Expanded €1 Billion French Plan Quantique
<p>Alice & Bob has secured a strategic venture capital investment from NVentures, the private equity arm of NVIDIA Corporation, expanding its existing €100 million ($116 million USD) Series B funding round. The investment follows a public policy milestone where French President Emmanuel Macron announced an additional €1 billion ($1.16 billion USD) allocation to the state...
GlobalFoundries Launches Specialized Business Unit to Expand Onshore Quantum Hardware Manufacturing
<p>GlobalFoundries (GF) has established a new business division, Quantum Technology Solutions, to scale commercial fabrication capabilities for the quantum computing industry. The unit enters the market with active customer engagements and a pipeline of quantum hardware developers preparing to scale production. In conjunction with this launch, the U.S. Department of Commerce...
Unrouted Items
A Two-Branch Finite-Field Construction for Regular CSS LDPC Bases
This paper develops a two-branch multiplicative-coset construction for regular Calderbank-Shor-Steane (CSS) quantum low-density parity-check base matrices. For a target column weight \(J\) and an even row weight \(L\), the method reduces regularity, CSS orthogonality, and same-type 4-cycle exclusion to explicit quotient-coset conditions over a finite field. A normalized exha...
Not all black holes decohere quantum superpositions
We study the decoherence induced by near-extremal charged black holes on quantum systems in their exterior. Specifically, we analyze a thought experiment recently discussed in the literature, where the quantum system is a charged particle prepared in a spatial superposition. Near-extremal black holes are known to exhibit large quantum metric fluctuations of the near-horizon...
Quantum Quenches that Resemble Operator Growth
We study growth quenches, which are local quenches that may gradually destabilize a false vacuum in certain kinetic constrained quantum lattice models, such as the East-West model. We point out a formal analogy with the dynamics of a local operator in the Heisenberg picture. Exploiting this analogy, we obtain several results on growth quenches by adapting operator-dynamics c...
Coherent dynamics in chaotic spin chains via interference-protected subspaces
Generic quantum many-body systems are expected to thermalize, scrambling initial coherence while local observables relax to equilibrium values. Weak ergodicity breaking, often associated with quantum many-body scarring of homogeneous states, provides rare exceptions with long-lived coherence. We introduce a family of local spin-1/2 chains with a structured subspace that host...
Indefinite probabilities in quantum spacetime: A deepening of unpredictability
Non-commutative spacetime and quantum groups have been argued to capture non-classical features of spacetime and its symmetries in the low-energy limit of quantum gravity. In this letter, we show that employing the $SU_q(2)$ quantum group to describe rotational symmetry for spin-$\frac{1}{2}$ systems and Stern-Gerlach apparatuses leads to the description of probabilities of...
The tight-binding (TB) model is a widely adopted approximation scheme for describing light propagation in waveguide arrays. Despite its success, its validity in $\mathcal{PT}$-symmetric systems characterized by strong longitudinal modulation has not been rigorously benchmarked against exact analytical solutions. In this work, we address this gap by performing a comparative a...
IntegrateUnitary.jl: A Julia package for symbolic integration over Haar measures
Symbolic integration over the Haar measure of compact groups is a computational cornerstone in quantum information science and random matrix theory. We present \texttt{IntegrateUnitary.jl}, a comprehensive Julia package for computing exact expectations of polynomial functions over a wide range of compact groups ($U(d)$, $O(d)$, $Sp(d)$, and $SU(d)$ for balanced polynomials),...
The negativity core of a 1+1D massless scalar quantum field
Vacuum entanglement is a fundamental feature of quantum field theory exhibiting rich structure that is not completely understood. Here, we provide a complete characterization of the entanglement between two bounded spacelike-separated regions in a (1+1)-dimensional free massless real scalar field. Employing Gaussian state methods, we analytically compute the logarithmic nega...
The Floquet-Magnus expansion of unbounded operators
The Floquet-Magnus expansion is a widely used tool to derive effective descriptions of time-periodic quantum systems by approximating their dynamics with a time-independent Hamiltonian. However, its standard formulation is, strictly speaking, restricted to bounded Hamiltonians. In this work, we extend its definition and analysis to a broad class of time-periodic unbounded Ha...
Noise and Configuration Recovery Impact on Quantum Selected Configuration Interaction
Quantum-selected configuration interaction (QSCI) is a promising hybrid quantum-classical approach in which a quantum device generates configurations for subsequent classical diagonalization. Here, we analyze the performance of QSCI combined with the local unitary cluster Jastrow (LUCJ) ansatz, focusing on the interplay between ansatz expressivity, sampling, noise, and confi...
Twirled Perfect Tensor Networks: Computationally covariant holographic tensor networks
We define a novel class of tensor networks motivated by the Python's Lunch Conjecture (PLC) in local tensor network models of the black hole interior. We start from the observation that, for extended black brane states with short-range correlations, the PLC predicts a complexity that is smaller than the upper bound for generic short-range correlated states. We argue that the...
Quantum Ghost Spectroscopy Reveals Hidden Electronic Coherence in Molecular Aggregates
Ultrafast spectroscopy of molecular systems is fundamentally constrained by the Fourier uncertainty principle: high temporal resolution smears out electronic state signatures, while high spectral resolution obscures dynamic information. Here we overcome this limitation using time-resolved quantum ghost spectroscopy (tr-QGS) with entangled photon pairs, which enables independ...
Information transfer along the causal lightcone of a brickwork quantum circuit
Understanding how local information propagates through many-body quantum systems is a central problem in nonequilibrium dynamics, with important implications for quantum communication, state transfer, and remote sensing. In this work, we investigate information transfer along a one-dimensional open chain of qudits, focusing on the task of recovering information initially enc...
We formulate non-Hermitian Landau levels in two-dimensional systems under a complex perpendicular magnetic field. In the symmetric gauge, we derive their discretely spaced, highly degenerate complex spectra and biorthogonal eigenstates, and clarify the role of non-unitary gauge transformations. A non-Hermitian Harper-Hofstadter lattice model confirms the continuum theory and...
Entanglement entropy across the dynamical phase transition in the quantum $\mathcal{O}(N)$ model
We demonstrate that the dynamical phase transition of the quantum $\mathcal{O}(N)$ model at large $N$ leaves universal fingerprints in the infrared structure of the entanglement spectrum. While the leading contribution to the entanglement entropy at long time follows the conventional volume law associated with ballistic entanglement spreading, its subleading behavior sharply...
Probing Chaos and Criticality with Observational Entropy and Finite-Resolution Measurements
Coarse-grained measurements offer a scalable alternative to full state tomography for characterizing complex quantum dynamics. We show that observational entropy (OE), an information-theoretic entropy defined directly from finite-resolution measurement outcomes, provides a unified and experimentally accessible framework for quantifying chaos and probing criticality. From pro...
Quantum resource redistribution drives spectral splits in dense neutrino gases
Whether a quantum many-body system can be efficiently simulated hinges not only on its size but also on how quantum resources are organized within it. We characterize the quantum resource landscape of collective neutrino oscillations using entanglement entropy, non-local magic, and matrix product state bond dimension. Using tensor network simulations of neutrinos in the two-...
Continuous-variable quantum key distribution (CV-QKD) is a promising approach for secure underwater quantum communications (UQCs), where propagation loss, scattering, turbulence, and receiver thermal noise can severely degrade the transmission of quantum states. In this paper, we propose an underwater CV-QKD system with virtual photon subtraction (VPS), implemented through p...
Underwater optical channels pose significant challenges to the security and reliability of quantum communication systems due to absorption and scattering. In this paper, we investigate the BBM92 entanglement-based quantum key distribution (QKD) protocol under realistic underwater channel conditions. Photon pairs are prepared in non-maximally entangled states, and the underwa...
Multi-flux Aharonov-Bohm caging with tunable couplings
Aharonov-Bohm (AB) caging is the complete wavefunction localization effect in translational-invariant lattices induced by destructive phase interference. These phases originate from the gauge fields such as the penetrated magnetic fields, which are directly related to several novel topological quantum states of matter. Recently, this effect has demonstrated significant poten...
Minimal Trade-off and Optimal Measurement for Multiparameter Quantum Estimation
A fundamental challenge in multiparameter quantum estimation arises from the incompatibility of optimal measurements for different parameters, leading to intricate precision trade-offs that obscure the understanding of ultimate quantum limits. Here, we present an approach that precisely quantifies these trade-offs for an arbitrary number of parameters encoded in pure quantum...
Ancilla-Efficient QSAMPLE Preparation for Reversible Markov Chains
Preparing quantum samples (QSAMPLES), coherent encodings of stationary distributions of reversible Markov chains, is a fundamental primitive in quantum sampling, particularly for quantum simulated annealing. A central limitation of existing phase-estimation-based frameworks is the ancilla qubit overhead. In this work, we present a new end-to-end framework requiring only one...
Macroscopic quantum tunneling (MQT), a cornerstone of Leggett's program, is deeply linked with instanton physics, yet its experimental verification remains elusive. This Perspective demonstrates that the quantum Rabi model manifests observable, instanton-like effects via quantum simulation. In the MQT regime, qubit-boson interactions drive Polyakov's energy bifurcation, gove...
Lowest order Carleman linearization for steady state fluid flow simulations
It is shown that the lowest (second) order truncation of the Carleman linearization of the fluid equations (C2) recovers not only the initial transient of the time evolution but also its late stage, namely the steady-state solution. This asymptotic property is first proved analytically for the decaying logistic with external forcing and then shown to hold to a significant de...
Selective Fermi-Level Pinning: A Design Strategy for Giant Rectification in Molecular Junctions
Molecular rectifiers are key functional components of molecular-scale integrated circuits, yet achieving high rectification ratios remains a longstanding challenge due to the intrinsic symmetry of resonant tunneling and the complexity of interfacial energy-level alignment. Here, we propose a rectifier design strategy based on selective Fermi-level pinning that breaks transpo...
A Compilation Framework for Quantum Simulation of Non-unitary Dynamics
Most quantum compilers assume programs are reversible unitary circuits. This fits closed-system algorithms, but not open-system simulation, where the natural program objects are quantum channels describing non-unitary dynamics. We present a channel-first compilation framework that treats channels as first-class compilation objects. Our core IR, ChannelIR, represents channels...
Electron-Photon Spatial Entanglement in Coherent Cathodoluminescence
Electron-photon quantum entanglement in an electron microscope paves the way for a new quantum platform, enabling the integration of quantum functionalities into electron microscopy and opening opportunities for quantum imaging and quantum sensing at the nanoscale. To realize such a platform, it is crucial to understand the degree and nature of electron-photon entanglement i...
On the Approximate Non-Deterministic Degree of Total Boolean Functions
The approximate non-deterministic degree of a Boolean function $f$, denoted $\mathsf{ndeg}_ε(f)$ (written $\mathsf{N}_ε(f)$ for brevity), is the minimum degree of a real polynomial $p$ such that $0 \le |p(x)| \le ε$ whenever $f(x) = 0$, and $|p(x)| \ge 1$ whenever $f(x) = 1$. Unlike exact non-deterministic degree, which only requires the polynomial to be nonzero on $1$-input...
Quantum dissipation is studied in the superradiant phase of the Extended Dicke model. It is demonstrated analytically by quantum mechanical derivation of the Lindblad equation for the Dicke model in the superradiant state coupled to Caldeira-Leggett thermal bath, that the effective viscosity appearing in the semiclassical equations of motion of polaritonic condensate survive...
A General Quantum Speed Limit for Non-Hermitian Systems
The quantum speed limit (QSL) refers to the maximum speed of a quantum system to evolve from an initial state to its orthogonal states. The bound on the QSL for Hermitian systems, for example the Mandelstam-Tamm (MT) and Margolus-Levitin (ML) as well as Sun-Zheng(SZ) bound, was studied respectively from the perspectives of average value and variance of the system Hamiltonian...
Interference of local-measurement histories
The evolution of a quantum system comprises two fundamental processes--continuous unitary dynamics and stochastic measurement-induced jumps. The latter are often viewed as a source of decoherence. Can two histories of such an evolution, made up of local measurements, interfere with each other? Here, we answer this question in the affirmative. A manifestation of this interfer...
Two Operational Principles Single Out Quantum Theory
Quantum theory combines density matrices, Born probabilities, tensor-product composites, positive-operator-valued measures (POVMs), and quantum channels. In a finite-dimensional causal operational theory, we prove that two postulates suffice: local input-output statistics identify channels, and every state admits an equivalent-system purification, unique up to reversible dyn...
Coverage Analysis of Rydberg Atom Quantum Receiver Arrays: A Stochastic Geometry Approach
Rydberg atomic quantum receivers (RAQRs) offer quantum-limited sensitivity and broadband tunability. It is not obvious whether this device-level advantage also improves network reliability, since in dense deployments, aggregate interference can push the atomic transducer out of its small-signal regime. This paper addresses the question by embedding the RAQR front end into a...
Anomalous Decay of Quantum Resources: The Entanglement Sudden Death Mpemba Effect
In classical thermodynamics, the Mpemba effect refers to the counterintuitive observation that hot water can freeze faster than cold water, manifesting as an anomalous crossing of dynamical trajectories. While analogues of this phenomenon have been explored in quantum radiative systems and spin-chain entanglement asymmetry, its connection to the finite-time decoupling of qua...
Surveying the California Quantum Ecosystem
<p>By Doug Finke I attended the third convening of a Quantum California event last week at the University of California, San Diego. Two previous convenings were held: one at the University of California, Berkeley in November 2025 and the other at the University of California, Santa Barbara in March of this year. We have been [...]</p> <p>The post <a href="https://quantumcomp...
<p>SBQuantum has been awarded two defense procurement contracts totaling $3 million CAD ($2.2 million USD) to deliver and validate its proprietary quantum diamond magnetometers in operational military environments. Funded through the Government of Canada’s primary defense innovation initiatives, the dual awards support the deployment of localized quantum-sensing platforms to...
Illinois Maps a Framework for Developing Quantum Talent in the State
<p>A joint institutional research coalition has published a foundational workforce study positioning Illinois as a primary national hub for quantum information science and technology (QIST) talent development. The first-of-its-kind report was co-authored by the Illinois Science and Technology Coalition (ISTC), the Illinois Economic Development Corporation (IEDC), the Illinoi...
AI-Run Robot Lab Creates Graphene And Builds Quantum Devices
<a href="https://thequantuminsider.com/2026/05/25/ai-run-robot-lab-creates-graphene-and-builds-quantum-devices/" rel="nofollow" title="AI-Run Robot Lab Creates Graphene And Builds Quantum Devices"><img alt="Quantum Materials Robot" class="webfeedsFeaturedVisual wp-post-image" height="796" src="https://thequantuminsider.com/wp-content/uploads/2026/05/Screenshot-2026-05-25-at-...
Top 20 Quantum Computing Masters & Ph.D. Degree Programs in 2026
<a href="https://thequantuminsider.com/2026/05/22/top-20-quantum-computing-masters-ph-d-programs/" rel="nofollow" title="Top 20 Quantum Computing Masters & Ph.D. Degree Programs in 2026"><img alt="Quantum education - TQI" class="webfeedsFeaturedVisual wp-post-image" height="716" src="https://thequantuminsider.com/wp-content/uploads/2026/05/quantum-education.png" style="d...
Quantum Dynamics Advance Overturns Claim of ‘Quantum Supremacy,’ Opens New Research Directions
<a href="https://thequantuminsider.com/2026/05/22/quantum-dynamics-advance-overturns-claim-of-quantum-supremacy-opens-new-research-directions/" rel="nofollow" title="Quantum Dynamics Advance Overturns Claim of ‘Quantum Supremacy,’ Opens New Research Directions"><img alt="Quantum Supremacy" class="webfeedsFeaturedVisual wp-post-image" height="392" src="https://thequantuminsid...
Chips
46 chip stack items collected on 2026-05-25; 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
With Chiplets, What Role Does Economics Play?
<p>Costs can rise with chiplets. Will that change? Will it matter?</p> <p>The post <a href="https://semiengineering.com/with-chiplets-what-role-does-economics-play/">With Chiplets, What Role Does Economics Play?</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Low-Temp Solders Are Suddenly Critical For Chiplets And Photonics
<p>Warpage, heat, and brittleness can cause huge reliability problems for expensive designs.</p> <p>The post <a href="https://semiengineering.com/low-temp-solders-are-suddenly-critical-for-chiplets-and-photonics/">Low-Temp Solders Are Suddenly Critical For Chiplets And Photonics</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Foundry, Tools, and Capex
<p>Taiwan, Europe packaging buildout; 2nm ramps; quantum big $; 2 new university hubs; agent honeypots; Samsung strike averted; extreme environment chip design; quantum-dot qubit device fabricated w/high-NA EUV; EU flagship power electronics project; CNTs.</p> <p>The post <a href="https://semiengineering.com/chip-industry-week-in-review-139/">Chip Industry Week In Review</a>...
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
Beyond Ideal Crystals: The Case For Scale In Atomistic Modeling
<p>Capturing important details without making calculations impractically expensive.</p> <p>The post <a href="https://semiengineering.com/beyond-ideal-crystals-the-case-for-scale-in-atomistic-modeling/">Beyond Ideal Crystals: The Case For Scale In Atomistic Modeling</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Advancing Heterogeneous Integration Through Industry Roadmap Improvements
<p>More detailed roadmaps are needed to guide how the industry stacks, connects, powers, and cools tomorrow's chips.</p> <p>The post <a href="https://semiengineering.com/advancing-heterogeneous-integration-through-industry-roadmap-improvements/">Advancing Heterogeneous Integration Through Industry Roadmap Improvements</a> appeared first on <a href="https://semiengineering.co...
AI & Energy: Bending The Curve
<p>Sustaining AI progress requires energy-efficient computing with holistic co-design and co-optimization across the entire ecosystem.</p> <p>The post <a href="https://semiengineering.com/ai-energy-bending-the-curve/">AI & Energy: Bending The Curve</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Enabling Production-Ready AI For Semiconductor Manufacturing
<p>Deep learning for inspection needs an operationalization layer that puts capability in the hands of engineers closest to the process.</p> <p>The post <a href="https://semiengineering.com/enabling-production-ready-ai-for-semiconductor-manufacturing/">Enabling Production-Ready AI For Semiconductor Manufacturing</a> appeared first on <a href="https://semiengineering.com">Sem...
Cost-Effective High-Performance Flip Chip MicroLeadFrame (fcMLF) Package Introduction
<p>Enabling electrical and thermal performance enhancements while maintaining the manufacturing efficiency and scalability of the MLF leadframe technology.</p> <p>The post <a href="https://semiengineering.com/cost-effective-high-performance-flip-chip-microleadframe-fcmlf-package/">Cost-Effective High-Performance Flip Chip MicroLeadFrame (fcMLF) Package Introduction</a> appea...
Power
22 power layer items collected on 2026-05-25; 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...
Small modular reactors and microreactors under development in the United States
Electric utilities in the United States currently operate about 98 gigawatts (GW) of nuclear generating capacity, but very little nuclear capacity has been built in the last few decades. High capital costs and lengthy licensing and approval processes have limited the expansion of nuclear power. However, several companies are developing new small modular reactor (SMR) designs...
U.S. coal-fired generating capacity retired in 2025 was the least in 15 years
During 2025, the U.S. electric power sector retired 2.6 gigawatts (GW) of coal-fired generating capacity at four power plants, the least since 2010. At the beginning of 2025, coal plant operators had planned to retire 8.5 GW of capacity; however, 4.8 GW of planned retirements were delayed to a future year, and the operators of two coal plants (1.1 GW) cancelled plans to reti...
Rooftop solar photovoltaic systems account for 20% of Puerto Rico's capacity mix
Rooftop solar generating capacity in Puerto Rico totaled 1,456 megawatts (MW) at the end of 2025, 20% of the overall capacity mix. Rooftop solar capacity has increased faster than other sources over the past decade. Between 2016 and 2025 rooftop solar installations accounted for 81% of the new generating capacity in Puerto Rico, according to data from our Electric Power Mont...
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
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...
Hydropower generation expected to recover despite snow drought in the West
In our April Short-Term Energy Outlook (STEO), we expect U.S. hydropower generation will increase by 5% in 2026 but remain 1.8% below the 10-year average following snow drought conditions in some states. Hydropower generation in 2025 increased to 245 billion kilowatthours (BkWh), about 4 BkWh more than the record-low generation year 2024. In 2026, we expect generation will b...
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
Staffordshire, U.K. (April 22, 2026) – The GE Vernova Foundation today announced Engineers of Change, a dynamic new initiative designed to inspire the next generation of engineers and energy leaders through early exposure to engineering, hands-on learning, and direct connections with industry
Greenville, S.C. (April 22, 2026) – The GE Vernova Foundation today announced Engineers of Change, a dynamic new initiative designed to inspire the next generation of engineers and energy leaders through early exposure to engineering, hands-on learning, and direct connections with industry
Unrouted Items
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
GE Vernova expands manufacturing capacity in Vietnam to support growing global electrification needs
Hai Phong, Vietnam | March 10, 2026 – GE Vernova (NYSE: GEV) today announced an investment of approximately $200 million to expand manufacturing capacity within its Electrification segment by establishing a new facility in Hai Phong, Vietnam. GE Vernova’s Electrification segment provides
HANOI, Vietnam (March 10, 2026) – GE Vernova Inc. (NYSE: GEV) today hosted the inaugural Energy of Change Summit in Hanoi, bringing together over 400 senior representatives from government, national utilities, suppliers, and energy ecosystem stakeholders across Vietnam and Asia. Hosted by Scott
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