Daily brief
May 4, 2026.
70 quantum research items collected on 2026-05-04; hardware, control, and industry signals routed.
Quantum
70 quantum research items collected on 2026-05-04; hardware, control, and industry signals routed.Hardware and Error Correction
Quantum simulation of nanographenes and Trotter error cancellation
Fault-tolerant quantum computing is a promising tool for simulating molecules and materials, but frequently-considered applications require substantial resources, and the gap between hardware capabilities and requirements remains significant. We propose quantum simulation of nanographene $π$-systems as relevant and scalable problems to span the gap between early and large-sc...
Learning Lindblad Dynamics of a Superconducting Quantum Processor
Accurate models of quantum processors are essential for understanding, calibrating, and improving their performance. In practice, model construction must balance physical detail against the experimental and computational effort required to reliably learn parameters. Compact descriptions therefore often rely on assumptions about which interactions, noise processes, or hidden...
Suppression of Universal Errors in DFS-Encoded Superconducting Geometric Logical \emph{T} Gate
High-fidelity logical \emph{T}-gate realization constitutes a core prerequisite for large-scale fault-tolerant quantum computing. However, conventional magic state distillation requires massive physical qubit overhead across successive distillation rounds, alongside sophisticated measurement and feedback control, thereby inducing considerable spatial and temporal resource co...
Measuring the largest coefficients of a quantum state
We introduce a hierarchical algorithm for identifying the largest Pauli coefficients of an unknown $n$-qubit quantum state. The algorithm traverses a prefix-based tree whose nodes represent partial sums of squared Pauli coefficients, always expanding branches with the largest estimated weight and discarding the rest. Node weights are estimated using Bell sampling on two copi...
Quantum Data Loading for Carleman Linearized Systems: Application to the Lattice-Boltzmann Equation
Herein, we introduce a strategy to decompose an arbitrary square matrix into a linear combination of non-unitaries (LCNU) where each non-unitary term is embedded into a unitary matrix. The result is a linear combination of unitaries (LCU) with an equal number of terms as the LCNU. Using this approach, we construct a generalized LCU framework for any Carleman linearized auton...
Cryogenic Graphene-Based Phase Modulators for Quantum Information Processing
Electro-optic modulators are key components for photonic quantum computing, particularly in fully cryovenic integrated platforms where low loss and compactness are critical. We present a systematic theoretical investigation of compact dual-layer graphene (DSLG) electro-optic phase modulators integrated on silicon nitride waveguides, with emphasis on cryogenic operation. By c...
Oxford Team Achieves First-ever ‘Quadsqueezing’ Quantum Interaction
<a href="https://thequantuminsider.com/2026/05/01/oxford-team-achieves-first-ever-quadsqueezing-quantum-interaction/" rel="nofollow" title="Oxford Team Achieves First-ever ‘Quadsqueezing’ Quantum Interaction"><img alt="Oxford" class="webfeedsFeaturedVisual wp-post-image" height="770" src="https://thequantuminsider.com/wp-content/uploads/2026/05/Screenshot-2026-05-01-at-10.24...
Control and Quantum-AI Integration
Probability Distribution Analysis of the Cascaded Variational Quantum Eigensolver
The cascaded variational quantum eigensolver (CVQE) circumvents the need for iterative communication between the quantum and classical processing units that is necessary in the conventional VQE algorithm. While CVQE offers complete freedom to choose the guiding state as input, not all guiding states suffice for solution accuracy, as well as resource efficiency. Our work pres...
The structure of gauge invariant Gaussian quantum operations on finite Fermion systems
Let ${\mathcal H}_1$ be a finite dimensional complex Hilbert space. Let $ψ\mapsto Z(ψ)$ be a canonical anti-commutation relations (CAR) field over ${\mathcal H}_1$ acting irreducibly on a Hilbert space ${\mathord{\mathscr K}}$. The $*$-algebra ${\mathscr A}_{{\mathcal H}_1}$ generated by the $Z(ψ)$, $ψ\in {\mathcal H}_1$, is simply all operators on ${\mathscr K}$. However, t...
Quantum Interval Bound Propagation for Certified Training of Quantum Neural Networks
Quantum machine learning is a promising field for efficiently learning features of a dataset to perform a specified task, such as classification. Interval bound propagation (IBP) is a popular certified training method in classical machine learning, where the lower and upper bounds are tracked throughout the model. These bounds are used during training to ensure that the mode...
A Resource-Efficient Variational Quantum Framework for the Traveling Salesman Problem
The Traveling Salesman Problem (TSP) is a prototypical combinatorial optimization problem, but its quantum implementation is limited by the O(n^2)-qubit overhead of standard one-hot encodings. Here, we propose a resource-efficient variational quantum framework based on compact binary-register encoding, a permutation-preserving problem-inspired ansatz, and a complementary div...
We study the entanglement distance of variational quantum states for two-qubit and multi-qubit systems. These states are constructed using variational quantum circuits with $R_Y$ rotations and entangling $CZ$ gates.For the two-qubit case, we analytically derive recurrence relations for expectation values of Pauli observables using. This approach allows us to analytically cal...
Quantum science and biology now intersect in three complementary directions: quantum in biology, quantum for biology, and biology for quantum. This review provides a structured narrative evidence map of that interface rather than an exhaustive catalogue or formal systematic review. For each topic, we ask what the mechanistic or technological claim is, which quantum resource...
We critically examine recent claims [Phys. Rev. D 113, 016024 (2026)] regarding quantum coherence, steering, and non-Markovian dynamics in the hyperon-antihyperon system produced in the process $e^{+} e^{-} \rightarrow Λ\barΛ$. We argue that the theoretical framework employed in the analyzed work suffers from fundamental physical inconsistencies. In particular, the treatment...
Efficient Mutation Testing of Quantum Machine Learning Models
Quantum machine learning integrates the strengths of quantum computing and machine learning, enabling models to learn complex features using fewer parameters than their classical counterparts. Due to the increasing complexity of quantum machine learning models, it is necessary to verify that the implementation of these models satisfy the design specification and be free of b...
Commercial and Industry Context
Optically detected nuclear magnetic resonance of carbon-13 in bulk diamond
Precision measurements based on optically detected nuclear magnetic resonance offer exquisite sensitivity to absolute shifts in spin transition frequencies, with potential applications in fundamental physics experiments and inertial sensing. We investigate 13C nuclear spins in diamond as a candidate system for solid-state implementations, which hold the promise for high-fide...
Multitenancy increases throughput and reduces costs in cloud-based quantum computing, but concurrent job execution introduces security risks through inter-circuit crosstalk. We characterize the structural predictability of these interference patterns across seven IBM superconducting processors, spanning Heron (r1-r3) and Nighthawk (r1) architectures and five different circui...
Scalable spin-nematic squeezing in multi-level dipole-interacting Rydberg atom arrays
We study the generation of metrologically useful entanglement in a three-level (spin-1) system naturally realized in arrays of dipole-interacting Rydberg atoms confined in optical tweezers. In the spin-quadrupolar operator basis, the interaction Hamiltonian decomposes into effective SU(2) subspaces, within which quench dynamics from product initial states generate scalable s...
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...
Maryland Budget Secures Millions to Consolidate “Capital of Quantum” Status
<p>Governor Wes Moore has signed Maryland's Fiscal Year 2027 state budget, directing tens of millions of dollars toward the state’s Capital of Quantum initiative. The enacted budget aims to transition the regional economy away from its traditional reliance on "eds, feds, and meds" by doubling down on quantum infrastructure and commercialization. Since the initiative’s launch...
Quantum Science Center Researchers Demonstrate First Digital Quantum Simulation of Spin Transport
<p>Researchers from the Quantum Science Center (QSC), led by teams at Purdue University, Oak Ridge National Laboratory (ORNL), and IBM, have achieved the first digital quantum simulation of spin transport in one-dimensional Heisenberg chains. Published in Physical Review Letters, the study utilized a 40-qubit simulation on the IBM Heron processor to observe how spin currents...
IBM and Dallara Partner to Scale AI and Quantum Design for Motorsports
<p>IBM and the Dallara Group have announced a strategic collaboration to integrate physics-based AI foundation models and quantum computing into high-performance vehicle design. By combining Dallara’s proprietary aerodynamic data with IBM’s computational research, the partnership aims to accelerate the optimization of racing chassis for series including IndyCar, Formula 2, a...
QuantumDiamonds Deploys First Asian Quantum Sensing System QD m.1 at Taiwan’s iST
<p>QuantumDiamonds GmbH, a Munich-based specialist in quantum sensing for semiconductor testing, has successfully deployed its QDm.1 system at the Integrated Service Technology (iST) facility in Hsinchu, Taiwan. This installation represents the company’s first commercial footprint in Asia and follows its recent expansion into the United States. The QDm.1 is now operational w...
Unrouted Items
Quantum Simulation of Differential-Algebraic Equations with Applications to Unsteady Stokes Flow
Differential-algebraic equations (DAEs) arise naturally in constrained dynamical systems, but their algebraic constraints and hidden compatibility conditions make them more subtle than standard ordinary differential equations. This paper initiates a quantum-algorithmic study of constrained linear DAEs. We introduce a dilation framework that embeds the generally non-Hermitian...
Entanglement capacity of complex networks from quantum walks
Discrete-time quantum walks provide a natural framework for quantum transport on complex networks. On regular structures, coin-walker entanglement has been widely used to characterize quantum transport and to support quantum algorithmic protocols. However, this notion relies on a fixed Hilbert space factorization separating coin and position and is therefore not directly app...
Topological protection of local quantum Fisher information
In many-body quantum systems, unitary dynamics generically delocalize locally encoded information, causing single-site metrological sensitivity to vanish. We analytically demonstrate that a topological phase can prevent this dispersal. In the open Kitaev chain, a Majorana zero mode fixes the boundary quantum Fisher information (QFI) at a nonzero plateau that persists for tim...
All-optical saddle trap as a platform for mesoscopic quantum experiments
We investigate the quantum dynamics of a levitated nanoparticle in a structured light rotating saddle-like optical potential consisting of a superposition of Gaussian and Laguerre-Gauss modes with detuned frequencies. This rotating saddle trap offers unique opportunities for quantum experiments, such as reduced decoherence due to photon recoil and absorption, the possibility...
The accurate estimation of observables is a crucial task in quantum computing. Recent advances have highlighted the need for (a) specialized protocols for qudit-based devices, that include (b) error-aware strategies. Here, we present AQUIRE, the first protocol that can (a) accurately estimate both the mean and the error of an observable on qudit-based quantum computers. AQUI...
Suppressing spin qubit decoherence during shuttling via confinement modulation
Reliable long-range qubit shuttling is a powerful tool for scalable quantum computing architectures. We investigate strategies to improve the coherence of moving spin qubits by performing continuous dynamical decoupling by modulating their confinement potential. Specifically, we introduce temporal and spatial breathing shuttling protocols that leverage spin-orbit interaction...
Atomic Interferometry with Spin-Orbit-Coupled Spin-1 Condensates
We propose and analyze a quantum interferometry scheme based on a Raman-dressed Bose gas with spin-orbit coupling. In this system, the atom-light coupling mixes spin and momentum degrees of freedom, giving rise, in the low-energy regime, to an effective spinor condensate whose spin-mixing interaction can be tuned independently of the atomic density. This controllability enab...
Entropy from Entanglement in Quantum State Reduction
The Von Neumann entropy of reduced states is a measure of bipartite entanglement. Despite its name, the entanglement entropy cannot by itself be used as a resource for creating thermodynamic heat flows. In order to extract heat from an entangled pure state, it first needs to be converted into a stochastically mixed state by a process of quantum state reduction. Here we show...
Quantum-memory models often reduce complex level structures to an idealized $Λ$ system, potentially missing nearby levels and unwanted couplings that can qualitatively alter the predicted performance. Here, we study an extension of a cavity-based $Λ$-type ensemble memory, a four-level model with unwanted couplings from both the control field and signal, using a fully quantum...
Bell Correlations and Selection Bias
Selection artefacts are common in science. A method of selecting samples from a larger population may produce bias, in either direction. It may induce correlations between variables independent in the full population, or mask correlations between variables dependent in the full population. Here we propose a surprising application of these familiar ideas. We argue that they a...
Staircase mechanical energy growth in optomechanical systems of median mechanical frequencies
Owing to the radiation-force-induced nonlinearity, cavity optomechanical systems (COMS) exhibit dynamical phenomena such as back-action induced oscillation, chaos, mechanical amplitude locking, and anomalous stabilization, which occur under different driving conditions and different system parameters. We here identify a previously unknown dynamical pattern of staircase evolu...
Toward Heisenberg-Limited Interferometry with Dual Squeezers
The canonical Mach-Zehnder interferometer fed with a coherent state and a squeezed-vacuum state of equal intensities is theoretically predicted to achieve Heisenberg scaling in phase sensitivity. However, this ultimate performance is unattainable using direct photon-number-difference detection due to a divergence arising precisely at the optimal equal-intensity regime. In th...
Quantum Decoding Algorithms: Quantum Speedups in Optimization
Attaining a quantum speedup in solving practically useful optimization problems has been one of the holy grails in the field of quantum computing. While prior approaches have demonstrated speedups for certain structured problem classes, establishing a clear and scalable advantage on broadly useful practical optimization problems remains challenging. Recently, a new approach...
Sequential Measurements as a Resource for Quantum Metrology
We present a protocol in which sequential weak measurements of a quantum harmonic oscillator enable simultaneous estimation of both quadratures of a displacement channel. Calculations of the quantum Fisher information show that the measurement backaction can increase the information gained for a range of measurement strengths. The protocol distributes information over a $N$-...
Unified approach to time-resolved x-ray and electron diffraction imaging
Time-resolved x-ray diffraction (TR-XRD) and ultrafast electron diffraction (TR-UED) are emerging tools for probing ultrafast quantum dynamics. From a theoretical perspective, they are commonly described within different frameworks and modeled using distinct approximations. Here, we present a unified quantum-field-based description of ultrafast diffraction imaging that permi...
Fidelity-Guaranteed Entanglement Routing with Distributed Purification Planning
Many quantum-network applications require end-to-end Bell pairs whose fidelity exceeds a request-specific threshold, but existing entanglement routing algorithms either optimize only throughput without regard for fidelity or enforce fidelity guarantees using centralized controllers with global link-state knowledge. We present Q-GUARD, an online entanglement routing algorithm...
This thesis, explores the quantum entanglement and evolution through both a geometric and dynamical perspective. The first part focuses on classical phase space and its central role in Hamiltonian mechanics, emphasizing the importance of symplectic structures in describing mechanical states. The study highlights the formal analogy between classical phase space and the Hilber...
Generation of Tunable Entanglement from Thin-Film Lithium Niobate
Entangled photon pairs play a major role in various modern technologies such as quantum imaging, communication, and computing. Conventional photon-pair sources are often based on spontaneous parametric down-conversion in bulk nonlinear crystals. Recent advances have also shown entangled photon-pairs from transition metal dichalcogenide thin-films, however, these materials ar...
We develop a product-level trace-Dobrushin theory for finite-dimensional quantum channel products and apply it to deterministic and stationary random inhomogeneous matrix product states in left-canonical CPTP gauge. For a product of channels, the centered trace-Dobrushin coefficient quantifies the residual dependence on the input state, and its decay is the criterion for tra...
Entanglement Enabled Data Transmission over an Arbitrarily Varying Channel
Shared randomness is the central ingredient for stabilizing symmetrizable communication systems against arbitrarily varying jammers. Given the presence of the jammer, however, the question arises how this precious resource could have been distributed. Several works discuss the use of external sources for this task. In this work, we show, based on the most standard optical co...
We provide a critical assessment of a recent study applying quantum information concepts, including noisy channels and teleportation fidelity, to hyperon-antihyperon pairs produced in $e^{+}e^{-} \to Y\bar Y$ reactions at BESIII. While the spin density matrix reconstructed from experimental data provides a physically meaningful description of production correlations, we argu...
Topological Charge of Causality at a PT-Symmetric Exceptional Point
Causality in linear response is conventionally treated as a binary property: a response function is either analytic in the upper half-plane or it is not. We show that in a PT-symmetric open dimer it instead carries a topological charge. As the gain-loss parameter crosses the exceptional point, a single pole of the reflection coefficient migrates into the upper half-plane, th...
From Tensor Networks to Tractable Circuits, and back
Tensor networks and circuits are widely used data structures to represent pseudo-Boolean functions. These two formalisms have been studied primarily in separate communities, and this paper aims to establish equivalences between them. We show that some classes of tensor networks that are appealing in practice correspond to classes of circuits with specific properties that hav...
Criticality on Rényi defects at (2+1)$d$ O(3) quantum critical points
At a quantum critical point, the universal scaling behavior of Rényi entanglement entropy is controlled by the universality class of the codimension-two Rényi (or conical) defects in the infrared theory. In this work we perform a systematic study of critical correlations along Rényi defect lines in (2+1)d quantum spin models realizing quantum phase transitions described by t...
Nonreciprocity-enriched steady phases in open quantum systems
Nonreciprocity can profoundly alter the spectra and dynamics of open quantum systems, yet its impact on the long-time steady-state phases of matter has remained largely unexplored. Here we show that the interplay of nonreciprocity, symmetry defects, and spatial boundaries can generate phases beyond the standard spontaneous-symmetry-breaking paradigm. We demonstrate this mech...
Graph-theory measures capture weak ergodicity breaking on large quantum systems
We study the onset of weak ergodicity violations in closed quantum many-body systems and focus on cases in which they occur through a transition that is controlled by a model parameter. Our analysis is based on representing quantum systems in Fock space and utilizes graph-theoretical measures. As a main result, we show that the recently introduced graph-energy centrality cap...
On-chip levitation of ferromagnetic microparticles
Levitation of microscopic objects in vacuum combines exceptional environmental isolation with precise control of their dynamics, pushing the limits of sensing and macroscopic quantum physics. In particular, magnetic levitation allows a large range of particle sizes, while avoiding detrimental effects from high-intensity optical trapping beams and electric field noise. Howeve...
A Unified Framework for Locally Stable Phases
We propose a unifying framework for characterizing pure and mixed state phases of matter across equilibrium, non equilibrium, and metastable regimes. We introduce the concept of locally stable states, defined by the operational property that any local operation (including post selection) can be reversed by a local channel. We prove that local stability is equivalent to a sta...
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...
TreQ Deploys Open-Architecture Quantum Computing Testbed in Oxfordshire, UK
<p>TreQ has designed, built, and brought online its Open-Architecture Quantum (OAQ) Testbed, a fully operational multi-vendor system now in active use in Oxfordshire, UK. Part of Innovate UK’s Quantum Mission Pilot, the system utilizes a modular design that separates the processor, control hardware, and software layers through standardized interfaces. This "software-reconfig...
PsiQuantum Appoints Lip-Bu Tan to Board of Directors
<a href="https://thequantuminsider.com/2026/05/02/psiquantum-lip-bu-tan-board-appointment/" rel="nofollow" title="PsiQuantum Appoints Lip-Bu Tan to Board of Directors"><img alt="Lip-Bu Tan" class="webfeedsFeaturedVisual wp-post-image" height="453" src="https://thequantuminsider.com/wp-content/uploads/2026/04/2026-04-30_23-14.png" style="display: block; margin: auto; margin-b...
What Is “Harvest Now, Decrypt Later” and Why Should You Care?
<a href="https://thequantuminsider.com/2026/05/01/harvest-now-decrypt-later-why-should-you-care/" rel="nofollow" title="What Is “Harvest Now, Decrypt Later” and Why Should You Care?"><img alt="YQS 2026" class="webfeedsFeaturedVisual wp-post-image" height="952" src="https://thequantuminsider.com/wp-content/uploads/2026/05/6118e813-d040-43c1-9998-92a284dfd047.png"...
U.S. Quantum Policy Bill Advances to Full House Consideration
<a href="https://thequantuminsider.com/2026/05/01/u-s-quantum-policy-bill-advances-to-full-house-consideration/" rel="nofollow" title="U.S. Quantum Policy Bill Advances to Full House Consideration"><img alt="American flag" class="webfeedsFeaturedVisual wp-post-image" height="1067" src="https://thequantuminsider.com/wp-content/uploads/2026/05/la-wfuq-7cq.jpg" style="display:...
Chips
43 chip stack items collected on 2026-05-04; 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.
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
Designing Chips In The Context Of Rapidly Evolving AI
<p>Long‑running agents, tool-calling LLMs, and multimodal chaos are rewriting edge compute rules, and making chip design more challenging.</p> <p>The post <a href="https://semiengineering.com/designing-chips-in-the-context-of-rapidly-evolving-ai/">Designing Chips In The Context Of Rapidly Evolving AI</a> appeared first on <a href="https://semiengineering.com">Semiconductor E...
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
21 power layer items collected on 2026-05-04; 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 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
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
The daily read, in your inbox
One brief a day across quantum, chips, and power. Primary sources only. Unsubscribe any time.