Daily brief
May 1, 2026.
60 quantum research items collected on 2026-05-01; hardware, control, and industry signals routed.
Quantum
60 quantum research items collected on 2026-05-01; hardware, control, and industry signals routed.Hardware and Error Correction
The Quantum Lattice Boltzmann Method (QLBM) has emerged as one of the most promising quantum computing approaches for the numerical simulation of problems in computational fluid dynamics (CFD). The dynamics is formulated in terms of mesoscopic particle distribution functions governed by a discrete Boltzmann transport equation, comprising local streaming and collision operati...
Mid-circuit measurement and classical feed-forward are essential primitives for dynamic-circuit teleportation on superconducting quantum processors. However, the error associated with measurement-conditioned corrective operations remains poorly understood when evaluated with respect to individual measurement branches. In this paper, we present a framework for characterizing...
Macroscopic photon counting beating the Poisson noise limit
Photon counting is a cornerstone of quantum optics. Here, we demonstrate precisely counting from 0 to over 9000 photons, beating the Poisson noise limit by at least $4.1~\mathrm{dB}$ across this range. We achieve sub-single-photon precision up to 276 photons per pulse. To do so, we multiplex eight intrinsically photon-number-resolving superconducting nanowire single-photon d...
A double-transmon coupler (DTC) enables a fast, high-fidelity CZ gate between two highly detuned, fixed-frequency transmon qubits. Moreover, a recently proposed capacitively shunted DTC (CSDTC) realizes a small residual ZZ interaction over a wide flux-bias range around zero flux, eliminating the necessity of static flux biasing while maintaining high CZ-gate fidelity. Howeve...
Quantum universal invariants of a Gaussian state's covariance matrix, which can be derived from intensity correlation moments, have been adopted to characterize the entanglement properties of Gaussian states via the positive partial transpose criterion, also known as the Peres-Horodecki separability criterion. Such intensity correlation moments enable the extraction of infor...
Magnonic Gottesman-Kitaev-Preskill states
Bosonic quantum error correction encodes a logical qubit in an oscillator, avoiding the hardware overhead of large qubit arrays. Among such encodings, Gottesman-Kitaev-Preskill (GKP) states are paticularly powerful because their phase-space grid structure protects against small displacement errors simultaneously in both conjugate quadratures. Here we provide the first protoc...
Galilean boost invariance does not survive the trace: symmetry breaking in open quantum systems
Tracing out a Galilean-invariant Caldeira-Leggett environment breaks Galilean boost covariance of the reduced dynamics, while spatial translations and rotations survive intact. An operator-level analysis of the exact Hu-Paz-Zhang master equation localizes the violation entirely in the dissipative anticommutator term, scaling with the damping coefficient $Γ(t)f(t)$. The fluct...
We demonstrate exponential quantum speedup for a restricted-Hamming-weight version of Simon's problem on present-day superconducting quantum processors by introducing a hardware-aware compilation strategy that compiles the quantum part of each Simon query circuit to constant depth. The resulting compiled circuits have $O(1)$ depth and linear connectivity, map directly onto c...
Control and Quantum-AI Integration
Defending Quantum Classifiers against Adversarial Perturbations through Quantum Autoencoders
Machine learning models can learn from data samples to carry out various tasks efficiently. When data samples are adversarially manipulated, such as by insertion of carefully crafted noise, it can cause the model to make mistakes. Quantum machine learning models are also vulnerable to such adversarial attacks, especially in image classification using variational quantum clas...
Learning quantum disentanglement scheduling from reduced states via modular hybrid policies
Quantum control with restricted state access is central to near-term quantum devices, where full wave-function information is unavailable. We study this problem through multiqubit disentanglement scheduling from partial observations, where a controller receives only two-qubit reduced density matrices and selects which qubit pair to disentangle at each step. We introduce a mo...
Geometric complexity in thermodynamics
The third law of thermodynamics forbids cooling a physical system to absolute zero in a finite number of operational steps. Although this unattainability principle has been quantified for specific state-to-state transitions, a universal, dynamics-independent bound for implementing a state-agnostic reset map remains elusive. In this work, we unveil the fundamental limits of p...
We propose a noise-mitigation quantum simulation strategy for near-term quantum devices based on Quantum Circuit Learning (QCL), which is in particular effective for integrable quantum spin chains. The method trains a shallow variational circuit to approximate a deeper time-evolution circuit by learning the conserved charges and only a small amount of dynamical information i...
Fixed-PVM Born Rule Uniqueness from Fisher Non-Expansion and Operational Calibration
Fix a finite dimension $d \geq 2$ and a fixed rank-1 PVM $M=\{|e_1\rangle\langle e_1|,\ldots,|e_d\rangle\langle e_d|\}$ on ${\bf C}^d$. Let $P_M:\mathbb{CP}^{d-1}\toΔ^{d-1}$ be a readout map on pure states. We prove that three primitives force the Born rule for this fixed measurement: (i) square-root regularity of $R_M=\sqrt{P_M}$ along Fubini-Study geodesics, (ii) the unive...
Q3SAT-GPT: A Generative Model for Discovering Quantum Circuits for the 3-SAT Problem
This work introduces Q3SAT-GPT, a generative model for discovering quantum circuits for the Max-E3-SAT problem. Our method learns from high-performing QAOA-style ansätze to directly generate candidate circuits. To create high-quality supervision, we also introduce Mosaic Adaptive QAOA (MosaicADAPT-QAOA), an adaptive strategy for constructing low-depth QAOA circuits by select...
Commercial and Industry Context
Observation of Vinen turbulence during far-from-equilibrium Bose-Einstein condensation
Relaxation of far-from-equilibrium quantum fluids, intimately related to the emergence of long-range order, is theoretically associated with the decay of a turbulent isotropic tangle of vortex lines. We observe and study such decaying quantum turbulence in a homogeneous 3D atomic Bose gas. Using matter-wave techniques to magnify the gas density distribution, and then imaging...
Deep Strong light-matter Coupling in 3D Kane Fermions
Deep strong light-matter coupling represents an extreme non-perturbative regime of quantum electrodynamics, in which the interaction strength exceeds the bare frequencies of the uncoupled systems. The ground state features strong quantum correlations between photons and matter excitations, and new cavity-driven phase transitions are expected to occur. Whether a superradiant...
Practical applicability of quantum optimisation on near term devices is constrained by limited qubit counts and hardware noise, which restricts the scalability of quantum optimisation algorithms for combinatorial problems. The simulation of large quantum circuits is also difficult and constrained by memory requirement. The Hamiltonian Auto Decomposition Optimisation Framewor...
Compressed Sensing for Efficient Fidelity Estimation of GHZ States
Accurately characterizing multipartite entangled states is a critical challenge in quantum information processing. In this work, we focus on applying compressed sensing techniques to efficiently estimate the fidelity of Greenberger-Horne-Zeilinger (GHZ) states. By exploiting the inherent sparsity of these states, our compressed sensing protocol drastically reduces the measur...
LLNL Leads ARPA-E Project on Quantum Materials Simulation
<a href="https://thequantuminsider.com/2026/04/30/llnl-quantum-computing-next-generation-magnets/" rel="nofollow" title="LLNL Leads ARPA-E Project on Quantum Materials Simulation"><img alt="LLNL" class="webfeedsFeaturedVisual wp-post-image" height="501" src="https://thequantuminsider.com/wp-content/uploads/2026/04/2026-04-30_16-54.png" style="display: block; margin: auto; ma...
French National Quantum Update: April 2026
<a href="https://thequantuminsider.com/2026/04/30/french-national-quantum-update-april-2026/" rel="nofollow" title="French National Quantum Update: April 2026"><img alt="" class="webfeedsFeaturedVisual wp-post-image" height="980" src="https://thequantuminsider.com/wp-content/uploads/2026/04/Screenshot-2026-04-29-at-9.28.09-AM-1.png" style="display: block; margin: auto; margi...
IBM’s Krishna Predicts First Real-World Quantum Advantage in 2026
<a href="https://thequantuminsider.com/2026/04/30/ibms-krishna-predicts-first-real-world-quantum-advantage-in-2026/" rel="nofollow" title="IBM’s Krishna Predicts First Real-World Quantum Advantage in 2026"><img alt="Close-up of IBM logo on a modern architectural facade under clear blue sky." class="webfeedsFeaturedVisual wp-post-image" height="1067" src="https://thequantumin...
Paragraf and Archer Materials Announce Strategic Collaboration on Graphene‑Based Quantum Devices
<a href="https://thequantuminsider.com/2026/04/30/paragraf-and-archer-materials-announce-strategic-collaboration-on-graphene-based-quantum-devices/" rel="nofollow" title="Paragraf and Archer Materials Announce Strategic Collaboration on Graphene‑Based Quantum Devices"><img alt="graphene" class="webfeedsFeaturedVisual wp-post-image" height="1052" src="https://thequantuminside...
Unrouted Items
Reorganizing Quantum Measurement Records Improves Time-Series Prediction
Near-term quantum computers are accessed through repeated circuit executions, which produce finite measurement records rather than exact deterministic outputs. In quantum reservoir computing, these records are converted to feature vectors for a classical readout. The standard expectation-value approach averages all shots from one labeled time step into a single feature vecto...
Optimal current-based sensing of phonon temperature using a finite reservoir
In realistic nanoscale transport set-ups, electron-phonon coupling leads to the exchange of heat between phonon baths and electronic reservoirs with finite heat capacities. Such exchange affects the finite reservoir's temperature. However, this sensitivity of the finite reservoir temperature to the exchange of heat with the finite reservoir has remained unexplored for thermo...
Domain-wall melting in all-to-all QSSEP from random-matrix theory
We study the melting of a domain wall in the quantum simple exclusion process with all-to-all hoppings (a.k.a. the charged SYK$_2$ model). We show that the real-time dynamics of physical quantities of interest can be obtained exploiting spectral results in random matrix theory. We first show that the eigenvalues of the correlation matrix corresponding to the initially charge...
Weak-to-Strong Measurement Transition with Thermal Instabilities
Quantum measurement is physically realized through a finite dynamical interaction between a system and a measuring apparatus, giving rise to a continuous transition from weak to strong regimes. While this crossover is well understood under ideal conditions, the combined role of thermal instabilities and pre- and post-selection open dynamics has not been systematically addres...
Degenerate quantum eigenspaces can support substantial changes in nodal geometry at fixed energy. We show that, for the two-dimensional isotropic harmonic oscillator, this restructuring is organized by the Hermite-constrained algebraic curve $P_N(x,y)=0$ appearing in every real shell state, $ψ_N=e^{-αr^2/2}P_N(x,y)$. Finite singularities, $P_N=\nabla P_N=0$, and projective d...
Source-independent quantum key distribution without pre-sending entanglement
Quantum key distribution (QKD) theoretically offers information-theoretic security. The prevailing approach is the prepare-and-measure BB84 protocol, which implements QKD using conventional laser rather than single-photon source via the decoy-state method. However, side-channel attacks targeting sources severely threaten system security. Despite extensive efforts, including...
g-tensor Optimization in Ge/SiGe Quantum Dots
Planar germanium heterostructures hosting hole-spin qubits are among the leading platforms for scalable semiconductor-based quantum computing. Yet, device performance is hindered by significant quantum dot variability, which leads to uncertainty in qubit energy levels and random orientations of the spin quantization axis. Tailored control of the g-tensor offers a strategy to...
A No-Cloning Trade-off Between Black Hole No-Hair and Horizon Smoothness
The black hole no-hair theorem is traditionally derived from the uniqueness theorems of general relativity. We show that a quantitative form follows from unitarity together with the standard semiclassical assumptions of horizon causality and interior accessibility. For a semiclassical black hole, we prove that the trace distance between exterior states corresponding to two s...
Adaptable Continuous Variable Quantum Network with Finite Size Security
In recent years, continuous-variable quantum key distribution (CV-QKD) has become a promising paradigm for enabling secure communication among multiple end users sharing the same telecommunication backbone. CV-QKD with reverse reconciliation naturally enables scalability from conventional point-to-point links to quantum access networks based on passive quantum broadcasting c...
Stoquasticity, originating in sign-problem-free physical systems, gives rise to $\sf StoqMA$, introduced by Bravyi, Bessen, and Terhal (2006), a quantum-inspired intermediate class between $\sf MA$ and $\sf AM$. Unentanglement similarly gives rise to ${\sf QMA}(2)$, introduced by Kobayashi, Matsumoto, and Yamakami (CJTCS 2009), which generalizes $\sf QMA$ to two unentangled...
Wavelet-based multiresolution analysis of quantum fractals in confined dynamics
Fractal structures naturally emerge in quantum systems whose initial states exhibit spatial discontinuities, a phenomenon first identified by Berry in the paradigmatic case of a particle confined in an infinite potential well. While previous analyses of quantum fractals have mainly relied on spectral decompositions and geometric scaling arguments, their quantitative characte...
Heisenberg-limited Hamiltonian learning without short-time control
Characterizing quantum systems by learning their underlying Hamiltonians is a central task in quantum information science. While recent algorithmic advances have achieved near-optimal efficiency in this task, they critically rely on accessing arbitrarily short-time dynamics. This reliance poses severe experimental challenges due to finite control bandwidth and transient puls...
We study hypergeometric functions of nilpotent operators in finite-dimensional settings, motivated by the algebraic structure of exceptional points in non-Hermitian quantum mechanics. Our starting point is the following exact result: if N is a nilpotent operator of index m+1 in an associative algebra over C, then every generalized hypergeometric function pFq evaluated at N r...
We propose a method for constructing multi-qubit entangled quantum states representing weighted tripartite graphs. An expression for the entanglement distance for multi-qubit states corresponding to arbitrary tripartite graph structures is obtained. The entanglement of a qubit with the rest of the system in a quantum graph state is determined by the weights of the edges in t...
High-Girth Regular Quantum LDPC Codes from Square-Base Hypergraph Products via CPM Lifts
We study square-base Calderbank--Shor--Steane (CSS) hypergraph-product codes as a finite-length class for regular high-girth quantum low-density parity-check (LDPC) design. For base matrices of small column weight, we give checkable conditions for regularity, rank deficiency, and short-cycle exclusion, and we present explicit column-weight-three and column-weight-four exampl...
Explicit Quantum Search Algorithm for the Densest k-Subgraph Problem
This paper addresses the problem of finding the densest $k$-vertex subgraph in an arbitrary graph. This problem is NP-hard and has important applications in social network analysis, fraud detection, recommendation systems, and bioinformatics. We propose two quantum approaches to solve this problem: reduction to Quadratic Unconstrained Binary Optimization (QUBO) and using Gro...
Timescales for Deep and Full Thermalization
Isolated quantum systems typically approach thermal equilibrium as described by the Eigenstate Thermalization Hypothesis (ETH). Going beyond this involves either higher order correlators (full thermalization) or the formation of state designs, i.e., the approach of moments of state ensembles after a projective measurement towards thermal equilibrium (deep thermalization). We...
OAM-mode sorting with a wavefront twister
We propose an OAM sorter based on a novel optical element that we refer to as a wavefront twister. It is a generalization of the conventional wavefront rotators such as the Dove prism. However, unlike a Dove prism, which simply rotates a wavefront, the rotation generated by a wavefront twister varies linearly with radial position, resulting in the twisting of the wavefront....
Room-temperature single-photon emission (SPE) resulting from a biexciton-exciton cascaded decay is demonstrated for the first time from chemically and photoelectrochemically etched site-controlled In0.14Ga0.86N quantum dots (QDs) embedded in vertical GaN nanowires. Diameter-dependent biexciton-exciton dynamics are analysed to determine the eligibility of QD as a single-photo...
Observation of attractor transitions in active magnon-polaritons under microwatt drives
Magnon-polaritons provide a room-temperature platform for investigating nonlinear cavity quantum electrodynamics in the microwave domain, but experimentally observing controlled transitions among distinct nonlinear attractors remains challenging in conventional passive systems, where strong external driving is usually required. Here we report the observation of attractor tra...
In multi-core quantum computing architectures, waveguide-mediated interconnects are essential for facilitating fast, high-fidelity quantum state transfer between qubits located in different chips. However, optimizing these systems typically relies on computationally expensive numerical simulations that offer limited physical insight. In this work, we derive exact analytical...
We present a comprehensive theoretical investigation of hyperfine-resolved excitation and detection of the low-energy isomeric state of $^{229}$Th in trapped $^{229}\mathrm{Th}^{3+}$ ions. Using a quantum master equation approach, we analyze the dependence of the isomeric population on laser linewidth, detuning, and irradiation time, showing that their proper matching is ess...
Quantum Magnetometry with Orientation beyond Steady-State Limits in Cavity-Magnon Systems
We present a transient quantum sensing framework for cavity-magnon systems that circumvents the inevitable loss of initial-state quantum properties plaguing conventional steady-state protocols. Explicitly incorporating finite-time dynamics and adopting an engineered steady state as the initial condition, we derive the exact transient noise spectrum. We show that residual ini...
Observation of Universal Spectral Moments and the Dynamic Dispersive-to-Proliferative Transition
In non-Hermitian systems, spectra can be maximally boundary-sensitive, yet bulk physics need not be. Here we experimentally show that spectral moments provide boundary-robust bulk observables in finite non-Hermitian lattices, even when the spectra undergo dramatic geometry-dependent reshaping due to the skin effect. Using a unified acoustic platform with full spectral recons...
Pauli equation in spaces of constant curvature and extended Nikiforov-Uvarov method
We apply the extended Nikiforov-Uvarov method to the non-relativistic limit of the Dirac equation with a Coulomb potential in spaces of constant curvature. In this case, the radial equation reduces to the Heun equation, and the extended Nikiforov-Uvarov method easily yields a quantization condition which leads to necessary condition under which the resulting Heun equation ca...
Observation antibunching with classical light in a linear interferometer
Understanding the boundary between classical and nonclassical phenomena is important for both fundamental researches in quantum optics and applications in quantum information. One of the most interesting research directions in this field is exploring nonclassical effects with classical light. In this paper, we will show that it is possible to observe antibunching with therma...
Finite Imaginary-Time Evolution for Polynomial Unconstrained Binary Optimization
Imaginary-time evolution is a standard primitive for ground-state preparation but is nonunitary, precluding direct quantum implementation. We develop Finite Imaginary-Time Evolution (FinITE), a finite-beta construction for diagonal Pauli-Z cost Hamiltonians arising from polynomial unconstrained binary optimization (PUBO) instances, including QUBO and HUBO cases. FinITE uses...
Nonadiabatic Renormalization Group for Strongly Coupled Multiscale Quantum Systems
Complex quantum systems are often multiscale in nature with strong interactions between different scales. We present a novel idea: iteratively suppressing, rather than tracing out, the fast, high-energy degrees of freedom in strongly correlated quantum systems with multiple energy scales in a non-perturbative way, termed nonadiabatic renormalization group. This leads to a qu...
Constructing Bulk Topological Orders via Layered Gauging
Understanding quantum phases and phase transitions in the presence of symmetries is a central objective of quantum many-body physics. A powerful modern paradigm for investigating this problem is topological holography, which relates symmetries in $k$ dimensions to "bulk" topological orders in $(k+1)$ dimensions. While conceptually profound, most existing bulk construction me...
Semiclassical Ehrenfest paths in open quantum systems
We study the semiclassical Ehrenfest trajectories in open quantum systems. We first derive in explicit form the Fokker-Planck equation that governs the time evolution of the mixing measure for a Gaussian mixture. Then, we embed the generalized Ehrenfest theorem recently obtained for open quantum systems into this phase-space picture to study the time evolution of the expecta...
High-key-rate Fully-Passive Quantum Access Network with Thermal Source
To accommodate classical communication systems with progressively increasing transmission rates, quantum access networks (QAN) have undergone systematic and protocol-level optimizations in recent years, where quantum passive optical network (QPON) architectures are gaining significant attention due to their simple structure. It is challenging for the previous QAN based on ac...
High-Rate Free-Space Continuous-Variable QKD with Self-Referenced Passive State Preparation
Continuous-variable quantum key distribution (CVQKD) using passive state preparation (PSP) offers low-cost, high-rate secure communication. However, the existing PSP-CVQKD scheme with a transmitted local oscillator has high photon leakage noise and poor stability, making it unsuitable for high-loss transmission. In this work, for the first time, we propose and implement a lo...
Researchers Demonstrate Ultra-low Noise Levels of New Qubit Platform
<a href="https://thequantuminsider.com/2026/04/30/researchers-demonstrate-ultra-low-noise-levels-of-new-qubit-platform/" rel="nofollow" title="Researchers Demonstrate Ultra-low Noise Levels of New Qubit Platform"><img alt="qubit" class="webfeedsFeaturedVisual wp-post-image" height="300" src="https://thequantuminsider.com/wp-content/uploads/2026/04/QubitArgonne.jpg" style="di...
Finland and Australia to Join Forces on Quantum Technologies
<a href="https://thequantuminsider.com/2026/04/30/finland-and-australia-to-join-forces-on-quantum-technologies/" rel="nofollow" title="Finland and Australia to Join Forces on Quantum Technologies"><img alt="Finland Australia" class="webfeedsFeaturedVisual wp-post-image" height="533" src="https://thequantuminsider.com/wp-content/uploads/2026/04/Finland.jpg" style="display: bl...
<a href="https://thequantuminsider.com/2026/04/30/qubit-pharmaceuticals-to-collaborate-with-the-centre-for-quantum-technologies-in-singapore-to-advance-quantum-algorithms-for-drug-discovery/" rel="nofollow" title="Qubit Pharmaceuticals to Collaborate with the Centre for Quantum Technologies in Singapore to Advance Quantum Algorithms for Drug Discovery"><img alt="qubit pharma...
Chips
44 chip stack items collected on 2026-05-01; 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
From Standards To Systems: The Chiplet Era On Arm
<p>Igniting scalable AMBA-compliant system connectivity.</p> <p>The post <a href="https://semiengineering.com/from-standards-to-systems-the-chiplet-era-on-arm/">From Standards To Systems: The Chiplet Era On Arm</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
NoC Coherency Challenges Balloon With AI SoCs And Chiplets
<p>Complex chips need coherent and non-coherent sub-NoCs to ensure efficient data paths. Correct hierarchy is essential.</p> <p>The post <a href="https://semiengineering.com/noc-coherency-challenges-balloon-with-ai-socs-and-chiplets/">NoC Coherency Challenges Balloon With AI SoCs And Chiplets</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineeri...
Custom Silicon and Networking
<p>Google's TPUs now for sale; 2/3nm capacity crunch; IC tool sales to China stopped; memory shortage widens in 2027; mega-earnings; Arm's agentic toolkit; Intel seeds universities; KAIST's liquid cooling for advanced packages; MIT-IBM tool for estimating power; V2X collaboration.</p> <p>The post <a href="https://semiengineering.com/chip-industry-week-in-review-136/">Chip In...
Foundry, Tools, and Capex
Transforming DRC Closure At Advanced Nodes
<p>Turning billions of violations into actionable insights.</p> <p>The post <a href="https://semiengineering.com/transforming-drc-closure-at-advanced-nodes/">Transforming DRC Closure At Advanced Nodes</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Foundry Capacity Is Limiting Who Competes At Leading Edge Nodes
<p>But the inability to utilize leading-edge process nodes has created opportunities for small and midsize chip developers in multi-die design, along with some sophisticated architectural design tradeoffs.</p> <p>The post <a href="https://semiengineering.com/foundries-capacity-is-limiting-who-competes-at-leading-edge-nodes/">Foundry Capacity Is Limiting Who Competes At Leadi...
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 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
TCS and AMD Announce Strategic Collaboration to Drive AI Adoption at Scale
Creating Agentic EDA Methodologies
<p>Current approaches involve multiple tools, vendors, designs, data formats, and abstractions. Can agents really use them all?</p> <p>The post <a href="https://semiengineering.com/creating-agentic-eda-methodologies/">Creating Agentic EDA Methodologies</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Facilitating Complex SoC Design Through Automation And Integration
<p>The boundaries between IP reuse, interconnect design, and hardware-software integration are no longer independent.</p> <p>The post <a href="https://semiengineering.com/facilitating-complex-soc-design-through-automation-and-integration/">Facilitating Complex SoC Design Through Automation And Integration</a> appeared first on <a href="https://semiengineering.com">Semiconduc...
How To Streamline Your Advanced Package Interconnect Designs
<p>Identifying and addressing design gaps in advanced packages.</p> <p>The post <a href="https://semiengineering.com/how-to-streamline-your-advanced-package-interconnect-designs/">How To Streamline Your Advanced Package Interconnect Designs</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Power
20 power layer items collected on 2026-05-01; data center load, grid, generation, and cooling signals routed.Data Center Power Demand
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...
Wind and solar generated a record 17% of U.S. electricity in 2025
Over the past 20 years, electricity from wind power and utility-scale solar power has increased to 17% of generation in the United States compared to less than 1% in 2005. In 2025, net generation of wind and solar together accounted for 760,000 gigawatthours (GWh) of electricity, 88,000 GWh more than in 2024, according to data from our Electric Power Monthly. We classify a p...
Fossil generation could rise with faster-than-expected growth in data center power demand
Electricity demand has been rising steadily since 2020 after more than a decade of little change. Between 2020 and 2025, U.S. electricity demand, as measured by net energy for load, grew about 1.7% annually compared with 0.1% annual growth between 2005 and 2019. Electricity use by data centers is driving the electricity demand growth. Continued development of these large com...
Grid and Generation
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...
U.S. electricity generation in 2025 hit a record, again
U.S. electricity net generation reached a record in 2025 based on data from our Electricity Data Browser. In 2025, the United States generated 4.43 terawatthours (TWh) of electricity, up 2.8% from 2024 generation, which previously had been the highest annual total in our Monthly Energy Review Data Browser dataset dating back to 1949.
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
Cambridge, Mass (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
Wroclaw, Poland (April 21, 2026) – As part of continued efforts to educate and train the next generation of global energy leaders, the GE Vernova Foundation today announced a grant of $800,000 USD to Assist International who will partner with Wroclaw University of Science and Technology
Unrouted Items
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
WILMINGTON, North Carolina (March 10, 2026) – Global Nuclear Fuel (GNF, a GE Vernova-led alliance with Hitachi, Ltd. and affiliate of GE Vernova Hitachi Nuclear Energy) today announced it has been awarded a contract by Entergy to continue to fuel its Grand Gulf and River Bend Station nuclear power
GE Vernova expands manufacturing capacity in Italy to support growing global electrification demand
SESTO SAN GIOVANNI, Italy (March 3, 2026) - GE Vernova Inc. (NYSE: GEV) today announced approximately $30 million investment in the expansion of its electrification manufacturing facility in Sesto San Giovanni, Italy, to support rising global demand for electrification infrastructure.The
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