Daily brief
May 13, 2026.
60 quantum research items collected on 2026-05-13; hardware, control, and industry signals routed.
Quantum
60 quantum research items collected on 2026-05-13; hardware, control, and industry signals routed.Hardware and Error Correction
Simultaneously Minimizing Storage and Bandwidth Under Exact Repair With Quantum Entanglement
We study exact-regenerating codes for entanglement-assisted distributed storage systems. Consider an $(n,k,d,α,β_{\mathsf{q}},B)$ distributed system that stores a file of $B$ classical symbols across $n$ nodes with each node storing $α$ symbols. A data collector can recover the file by accessing any $k$ nodes. When a node fails, any $d$ surviving nodes share an entangled sta...
Programmable Superradiance in an Interacting Qubit Array
When multiple quantum emitters couple to a common electromagnetic environment, interference in their collective radiative dynamics gives rise to superradiance and subradiance. In regimes where coherent interactions and collective dissipation compete, the microscopic many-body dynamics and quantum correlations among the emitters that underlie superradiance and subradiance are...
Entangling Superconducting Qubits via Energy-Selective Local Reservoirs
Engineered dissipation provides a powerful route to controlling and stabilizing quantum states in open systems. Superconducting circuits are particularly suited to this approach due to their tunable coupling to dissipative environments. Here we realize programmable local reservoirs for superconducting qubits through parametrically driven coupling to readout resonators, creat...
Lower overhead fault-tolerant building blocks for noisy quantum computers
Quantum computation holds the promise of solving certain complex problems exponentially faster than classical computers. However, the high prevalent noise in current quantum devices impedes the accurate execution of even basic algorithms. This can be remedied by protecting quantum information with a quantum error-correcting code, where the logical information of an algorithm...
Information Thermodynamics in Generalized Probabilistic Theories
Generalized Probabilistic Theories (GPTs) provide a unified framework for describing probabilistic physical theories, encompassing classical and quantum theories as well as hypothetical theories beyond quantum mechanics. Since most GPTs are highly unrealistic and far removed from known physical theories, it is important to constrain them by physically reasonable principles....
Cryogenic Systems for Quantum Photonic Technologies: A Practical Review
While nonclassical light sources are fundamental to quantum communication and computing, solid-state platforms like color centers and quantum dots require cryogenic temperatures to reach the performance levels necessary for practical applications. Over the past decade, low-temperature engineering has transitioned from manual handling of liquid cryogens to automated closed-cy...
Zeno-Enhanced Probabilistic Error Cancellation with Quantum Error Detection Codes
Probabilistic error cancellation (PEC) is unbiased but suffers exponential sampling overhead set by noise-weighted circuit volume, whereas quantum error-detecting codes (QEDCs) remove many physical faults by stabilizer post-selection but leave an undetectable logical residue. We exploit this complementarity by using post-selection to map physical noise to a weaker accepted l...
Benchmarking and Resource Analysis for Augmented-Lagrangian Quantum Hamiltonian Descent
Quantum Hamiltonian Descent (QHD) is a continuous optimization algorithm based on simulating a time-dependent quantum Hamiltonian whose potential energy encodes the objective function and whose kinetic energy promotes exploration through quantum interference and tunneling. While QHD is formulated for unconstrained optimization, many real-world optimization problems are const...
Control and Quantum-AI Integration
QAP-Router: Tackling Qubit Routing as Dynamic Quadratic Assignment with Reinforcement Learning
Qubit routing is a fundamental problem in quantum compilation, known to be NP-hard. Its dynamic nature makes local routing decisions propagate and compound over time, making global efficient solutions challenging. Existing heuristic methods rely on local rules with limited lookahead, while recent learning-based approaches often treat routing as a generic sequential decision...
Leggett--Garg Tests in Neural Dynamics: Probing Non-Diffusive Stochastic Structure in Single Neurons
We propose an experimental programme to test Leggett--Garg-type temporal correlations in single-neuron dynamics. The goal is to distinguish between diffusive (Wiener/cable-equation) models and non-diffusive persistent stochastic models based on Kac-type finite-velocity processes leading to the Telegrapher's equation. We show that while purely diffusive dynamics satisfies Leg...
Thermodynamic value of CHSH-induced side-information channels in a Szilard engine
We study the thermodynamic value of side-information channels induced by Bell-type correlations through a CHSH prediction task embedded into a Szilard-type feedback engine. A thermal two-level system supplies a uniformly random physical microstate $X$, and a trusted referee encoding together with a nonsignalling correlation resource induces a controller bit $G$ that acts as...
Runtime Calibration as State-Trajectory Feedback Control in Quantum-Classical Workflows
In superconducting devices running variational workloads, gate and readout fidelities drift on hour timescales, while existing runtime schedulers treat backend quality as static. The temporal dimension of calibration remains unresolved. We formulate runtime calibration as a state-trajectory feedback-control problem under a fixed wall-clock budget, and investigate whether spe...
Chaos Emerge with Exceptional Points in Reset-Driven Floquet Dynamics
We investigate the spectral structure of reset-driven Floquet quantum channels generated by the Hamiltonian evolution of a many-body system followed by periodic resetting of a bath. By tuning a chaos-controlling parameter in the underlying Hamiltonian, we uncover an exceptional-point-induced spectral transition from a symmetry-constrained ergodic regime to a fully chaotic re...
While world models learn compact representations of complex environments, they lack a physics-grounded metric to assess the structural fidelity of their latent spaces. We identify the wavelet scaling exponent $α$ as a critical diagnostic, proposing optimal representations satisfy variance equipartition ($α\approx 1/2$) -- mirroring Kolmogorov's inertial range. We establish $...
QuBridge: Layer-wise Fidelity Decomposition in Quantum Computation Pipeline
Running a quantum circuit on current hardware involves a sequence of engineering decisions, each with tunable parameters and distinct error characteristics. Existing tools optimize each decision in isolation, leaving practitioners unable to determine how much each decision contributes to final output quality. We present QuBridge, a pipeline analysis tool that decomposes quan...
Commercial and Industry Context
TuniQ: Autotuning Compilation Passes for Quantum Workloads at Scale for Effectiveness and Efficiency
Quantum processors are being integrated into HPC ecosystems as co-processors, where compilation of quantum circuits into hardware-executable form determines both output fidelity and runtime. Current compilers use a fixed pass sequence and ignore the fact that optimal pass selection varies with circuit, hardware, and noise conditions. We present TuniQ, a reinforcement learnin...
SEETEL, Aegis and Quantum eMotion Expand Quantum-Secured Energy Partnership
<a href="https://thequantuminsider.com/2026/05/13/quantum-secured-power-aegis-quantum-emotion-seetel-bess/" rel="nofollow" title="SEETEL, Aegis and Quantum eMotion Expand Quantum-Secured Energy Partnership"><img alt="Quantum e-motion" class="webfeedsFeaturedVisual wp-post-image" height="283" src="https://thequantuminsider.com/wp-content/uploads/2026/05/2026-05-13_12-15.png"...
IonQ Opens New Quantum Computing R&D Facility in Boulder
<a href="https://thequantuminsider.com/2026/05/13/ionq-boulder-quantum-rd-lab/" rel="nofollow" title="IonQ Opens New Quantum Computing R&D Facility in Boulder"><img alt="Cutting the ribbon at IonQ’s new Boulder facility were IonQ chairman and CEO Niccolo de Masi; Dr. Chris Ballance, president of Quantum Computing; Boulder mayor Aaron Brockett; and Colorado Gov Jared Poli...
Casimir Launches With $12 Million Oversubscribed Seed Round to Bring Quantum Energy Chip To Market
<a href="https://thequantuminsider.com/2026/05/12/casimir-launches-with-12-million-oversubscribed-seed-round-to-bring-quantum-energy-chip-to-market/" rel="nofollow" title="Casimir Launches With $12 Million Oversubscribed Seed Round to Bring Quantum Energy Chip To Market "><img alt="Casimir" class="webfeedsFeaturedVisual wp-post-image" height="1208" src="https://thequantumins...
<a href="https://thequantuminsider.com/2026/05/12/d-wave-quantum-rides-a-new-wave-of-quantum-bookings-as-demand-and-volatility-increase-in-quantum/" rel="nofollow" title="D-Wave Quantum Rides a New ‘Wave’ of Quantum Bookings, As Demand — and Volatility — Increase in Quantum"><img alt="D-Wave" class="webfeedsFeaturedVisual wp-post-image" height="929" s...
High-Level French and German Officials Meet to Strengthen Quantum Ties
<a href="https://thequantuminsider.com/2026/05/12/high-level-french-and-german-officials-meet-to-strengthen-quantum-ties/" rel="nofollow" title="High-Level French and German Officials Meet to Strengthen Quantum Ties"><img alt="French German Quantum" class="webfeedsFeaturedVisual wp-post-image" height="941" src="https://thequantuminsider.com/wp-content/uploads/2026/05/France-...
Unrouted Items
Scalable Measurement-Based Quantum Simulation Patterns for Benchmarking
Measurement-based quantum computing uses measurement patterns on predefined quantum resource states to execute quantum logic. Quantum simulation offers an important use case on near-term devices. However, pattern optimization depends on the multivariable interplay between hardware and software constraints and is therefore use-dependent and highly non-trivial. Optimization of...
Optical detection of the electron spin resonances of G centers in silicon
Color centers in silicon are emerging as promising platforms for quantum technologies. Among them, the G center has attracted considerable interest owing to its bright telecom O-band single-photon emission and its optically addressable metastable electron-spin triplet state. Here we investigate the spin properties of ensembles of G centers under above-band-gap excitation. We...
Large $N$ factorization of families of tensor trace-invariants
It was recently proven that, in contrast to their matrix analogues, the moments of a real Gaussian tensor of size N do not in general factorize over their connected components in the asymptotic large N limit. While the original proof of this rather surprising result was not constructive, explicit examples of non-factorizing moments, which are expectation values of trace-inva...
Simulation of Non-Hermitian Hamiltonians with Bivariate Quantum Signal Processing
We achieve query-optimal quantum simulations of non-Hermitian Hamiltonians $H_{\mathrm{eff}} = H_R + iH_I$, where $H_R$ is Hermitian and $H_I \succeq 0$, using a bivariate extension of quantum signal processing (QSP) with non-commuting signal operators. The algorithm encodes the interaction-picture Dyson series as a polynomial on the bitorus, implemented through a structured...
Sub-shot-noise emission statistics of a CW-excited single photon source
Shot noise sets a fundamental limit on the sensitivity of classical optical measurements, with coherent emitters achieving the lowest possible shot-noise level. Emission from sub-Poissonian light provides a pathway to surpass this limit, and single-photon sources provide a natural platform for generating such light. However, it is commonly assumed that continuously excited s...
Charge noise is an important factor limiting qubit coherence and relaxation in solid-state devices. In bilayer graphene (BLG) quantum dots, recently established as a promising platform for spin- and valley-based qubits, both the origin and magnitude of charge noise remain largely unexplored. Here, we investigate high-frequency charge noise using Landau-Zener-Stückelberg-Majo...
We prove that the ground state of the AKLT models on the hexagonal lattice and the Lieb lattice satisfy the local topological quantum order (LTQO) condition. This will be a consequence of proving that the finite volume ground states are indistinguishable from a unique infinite volume ground state. Concretely, we identify a sequence of increasing and absorbing finite volumes...
A post-Newtonian Gravitational Collapse Model from Linearized Gravity
We introduce a general gravity-related collapse mechanism based on linearized gravity. Starting from the weak-field limit of general relativity, gravitoelectromagnetism suggests an effective coupling between the gravitoelectric potential and the mass density distribution. At the same time, it provides a similar relation for the gravitomagnetic vector potential and the mass c...
Optimal State Preparation for Impulse Estimation in Gaussian Quantum Systems
We present an optimal control-based strategy to enhance the estimation of impulse-like disturbances in continuously monitored linear classical and quantum systems by exploiting non-equilibrium states. Using optimal estimation techniques for linear Gaussian systems to collect information from the temporal vicinity of the disturbance, we cast the minimization of disturbance es...
Understanding oxide-thickness-dependent variability in dense Si-MOS quantum dot arrays
Achieving uniform and scalable control of semiconductor spin qubits remains a key challenge for large scale quantum computing. In this work, we investigate how gate oxide thickness influences uniformity in dense two dimensional silicon quantum dot arrays. Using a 7 x 7 array fabricated in a 300 mm CMOS-process patterned by EUV lithography, we statistically characterize 392 q...
Quantum teleportation with coherent error in Bell-state measurement
Quantum teleportation is a fundamental protocol in quantum information science, whose performance is conventionally evaluated under the assumption of ideal Bell-state measurements. In realistic implementations, however, joint measurements are often imperfect and can deviate from maximally entangled bases due to coherent errors in entangling operations. In this work, we analy...
Squeezing and adiabaticity breaking in time-dependent quantum harmonic oscillators
The quantum harmonic oscillator with time-dependent frequency is a paradigmatic model of driven quantum dynamics and one of the few nontrivial systems that admits an exact analytical solution. In this review paper, we present a unified treatment of the time-dependent oscillator based on the Lewis-Riesenfeld invariant method, Bogoliubov transformations and the Ermakov-Pinney...
Enabling Deterministic Passive Quantum State Transfer with Giant Atoms
Achieving quantum state transfer in passive ways can become a powerful asset for scalable quantum networks. Here, we demonstrate how giant atoms coupled to 1D waveguides provide a platform for such a passive, deterministic transfer. Engineering the position and strength of coupling points, we show that the nonlocal interaction can be utilized for the emission of time-reversa...
Versatile probe state preparation via generalized measurements for quantum sensing and thermometry
We investigate a probe state preparation protocol based on two non-selective generalized quantum measurements to enhance parameter estimation in single-qubit systems. By fine-tuning the measurement strengths, we demonstrate the ability to design a broad class of probe states, initially prepared in a thermal state, which can be optimized for specific estimation tasks. We appl...
Joint Realizability Tradeoffs Bounded by Quantum Channel Incompatibility
Incompatible quantum channels cannot be jointly and exactly realized, meaning that any approximate joint realization inevitably entails a tradeoff in implementation accuracy. While this notion of channel incompatibility unifies fundamental limitations such as measurement uncertainty, the no information without disturbance principle, and the no-cloning and no-broadcasting the...
Universal Speed Limit in a Far-from-Equilibrium Bose Gas: Symmetry and Dynamical Decoherence
Predicting universal transport coefficients in far-from-equilibrium quantum systems remains a fundamental challenge. A paradigmatic example is the non-thermal fixed point (NTFP) of isolated Bose gases, where coherence spreads as $\ell^2(t) = C\hbar t/m$ with a universal constant $C$. While the scaling exponent $z=2$ is well established, the amplitude $C$ has remained elusive...
The uncertainty geometry of finite-dimensional position and momentum
Uncertainty relations are usually stated as bounds on selected combinations of variances, but the full covariance matrix contains substantially richer information about the geometry of quantum state space and about the operational capabilities of quantum systems. Here we characterize the covariance matrices attainable by a finite-dimensional canonical pair of observables rel...
Adiabatic Quantum Simulation of the Topological Su--Schrieffer--Heeger--Hubbard Model
We develop an adiabatic quantum simulation framework on gate-based quantum computers to probe topological signatures of the one-dimensional fermionic Su--Schrieffer--Heeger--Hubbard (SSHH) model. We present explicit quantum-circuit constructions for initial-state preparation and time evolution, together with a practical measurement protocol and classical post-processing proc...
Realization of Backward Retrieval in a Stark-modulated Spin-wave Quantum Memory
We report the first experimental realization of backward retrieval in a spin-wave quantum memory based on a Stark-echo-modulated protocol in Eu3+:Y2SiO5. By using Stark control, we preserve the full optical depth of the ensemble while suppressing coherent noise, enabling conditional storage fidelities above 97%. Our analysis shows that the present backward-retrieval efficien...
Security of decoy-state quantum key distribution with correlated bit-and-basis encoders
Practical quantum key distribution (QKD) modulators inevitably introduce correlations, causing the state emitted in a given round to depend on the setting choices made in previous rounds. These correlations break the round-by-round independence structure on which many widely used security proof techniques rely, leaving a significant gap between available theoretical guarante...
Laser-assisted tunneling in a static tungsten diselenide WSe$_2$ barrier
We study the tunneling effect of Dirac fermions in a monolayer WSe$_2$ subjected to a static electrostatic barrier and irradiated by a linearly polarized laser field. Within the Floquet formalism, the time-periodic driving is incorporated to derive analytical wave functions across the three regions of the system. By enforcing continuity conditions at the interfaces, we obtai...
Classification of informative subsets in quantum encrypted cloning on qudits
Encrypted cloning offers a means of introducing redundancy into quantum storage while respecting the no-cloning theorem: an unknown state is encoded into multiple signal-noise pairs, and only authorized subsets can recover the original information. However, the leakage properties of unauthorized subsets particularly for higher-dimensional systems (qudits) have remained unexp...
In the Noisy Intermediate-Scale Quantum (NISQ) era, limited qubit counts and high gate error rates directly constrain circuit fidelity, making the minimization of CNOT gate counts crucial. While conventional compilers prioritize heuristic efficiency, there is a compelling need for "accuracy-first" transpilation that prioritizes gate reduction over compilation latency. We pro...
String Diagrams for Quantum Foundations, Computing and Natural Language Processing
Applied category theory provides powerful mathematical tools for modelling processes and their composition. Symmetric monoidal categories, which involve series and parallel composition, are particularly well-suited for describing the composition of processes in space and time. Also called process theories, they admit string diagrams, which constitute a visually intuitive, ma...
Correlations Between Quantum Battery Capacity and Quantum Resources for Two-qubit System
We investigate the relationship between quantum battery capacity and quantum resources in a two-qubit system consisting of mutually coupled battery and charger subsystems. We find that the battery capacity decreases monotonically with the quantum entanglement, steering, Bell nonlocality and coherence, and peaks when these four quantum resources vanish. Moreover, we reveal th...
Classic and Quantum Task-Based Intelligent Runtime for QIRs Running on Multiple QPUs
High-performance computing systems are rapidly evolving into heterogeneous platforms that fuse quantum accelerators with traditional classical processing units (CPUs) and graphical processing units (GPUs). This convergence calls for runtimes capable of managing both classical and quantum workloads in a unified manner. We introduce an intelligent, task-based runtime that marr...
The measurement of top-quark spin correlations provides a key tool for probing its interactions with high precision. Owing to its extremely short lifetime ($τ\sim 10^{-25}$ s), the top quark preserves its spin polarization information, making the $t\bar{t}$ system an ideal framework for investigating quantum correlations in high-energy physics. In this work, we analyze quant...
Finnish Physicist Named European Inventor Award Finalist for Quantum Hardware Research
<a href="https://thequantuminsider.com/2026/05/12/european-inventor-award-2026-quantum-systems-finalist/" rel="nofollow" title="Finnish Physicist Named European Inventor Award Finalist for Quantum Hardware Research"><img alt="Mikko Möttönen picture" class="webfeedsFeaturedVisual wp-post-image" height="543" src="https://thequantuminsider.com/wp-content/uploads/2026/05/ss-1.pn...
Chips
42 chip stack items collected on 2026-05-13; 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
Lasers Are The Heartbeat Of The Optical AI Data Center
<p>These III-V semiconductors are essential for super-high bandwidth optical interconnects.</p> <p>The post <a href="https://semiengineering.com/lasers-are-the-heartbeat-of-the-optical-ai-data-center/">Lasers Are The Heartbeat Of The Optical AI Data Center</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
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
<p>As PCIe moves toward 128 GT/s and beyond, multistream architecture transitions from an optimization to a requirement. </p> <p>The post <a href="https://semiengineering.com/scaling-pcie-controllers-for-ai-bandwidth-a-multistream-architecture-analysis-for-64-gt-s-and-128-gt-s/">Scaling PCIe Controllers for AI Bandwidth: A Multistream Architecture Analysis for 64 GT/s and 12...
A Comprehensive Study Of Integrating 2D Materials With CFET Architecture (SKKU, et al.)
<p>A new technical paper, “Challenges and prospects of 2D electronics for future monolithic complementary field-effect transistors,” was published by researchers at Sungkyunkwan University, Hangyang University, Istituto Italiano di Tecnologia, Shanghai University, Jeonbuk National University, and Kyonggi University. Abstract “With planar complementary metal...
ANN Framework for Thermal-Aware Modeling of GAAFETs (NYCU)
<p>A new technical paper, “A Device-Physics-Informed Artificial Neural Network Approach for Thermal-Aware I-V and C-V Modeling of GAA FETs,” was published by researchers at National Yang Ming Chiao Tung University. Abstract “This work introduces a device-physics-informed neural network framework for simultaneous modeling of thermal-aware I-V and C-V charact...
HW-Based Image Generation Using FTJs (SNU, Sungkyunkwan U., SK hynix et al.)
<p>A new technical paper, “CMOS-compatible ferroelectric tunnel junctions integrate stochastic sampling and deterministic computing for image generation,” was published by researchers at Seoul National University, Sungkyunkwan University, Hanyang University, Sogang University, and SK Hynix. Abstract “Recent progress in generative modeling has intensified th...
What’s Really Needed For Advanced Test?
<p>The industry's aspirations for machine learning are running ahead of the data plumbing required to support them.</p> <p>The post <a href="https://semiengineering.com/whats-really-needed-for-advanced-test/">What’s Really Needed For Advanced Test?</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Power
20 power layer items collected on 2026-05-13; data center load, grid, generation, and cooling signals routed.Data Center Power Demand
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 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
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
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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
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