Daily brief
June 10, 2026.
60 quantum research items collected on 2026-06-10; hardware, control, and industry signals routed.
Quantum
60 quantum research items collected on 2026-06-10; hardware, control, and industry signals routed.Hardware and Error Correction
Coset Ensemble Decoder for Quantum Error Correction with Algorithm-Hardware Co-Design
Reliable large-scale quantum computation relies on fault-tolerant architectures, where quantum error correction (QEC) continuously extracts and decodes error syndromes in real time. A critical component in QEC is the decoder, a classical subsystem that must simultaneously deliver high logical accuracy and ultra-low latency. This paper presents a novel algorithm-hardware co-d...
We generalize the condition under which a quantum material exhibiting a pseudogap phase is a precursor to a superconducting (SC) dome. The result reveals the non-analytic T* as a function of doping. A well-known example is the high-Tc cuprates. Essentially, the SC dome is generated under two conditions: (1) that the pseudogap T* is a decreasing function of doping, due to the...
Bosonic Cyclic Codes: Trading Stabilizers for Gaussian Non-Clifford Phase Gates
Bosonic codes offer hardware-efficient approaches to quantum error correction, with the best encodings offering effective protection of idle quantum information against loss and dephasing - particularly rotation-symmetric codes, which include the cat and binomial code families. However, rotation-symmetric codes are only naturally endowed with a single logical Pauli gate, whi...
Analog Quantum Asynchronous Event-Based Graph Neural Network
Asynchronous, event-based graph neural networks (AEGNNs) have recently emerged as an efficient paradigm for processing the sparse and high-temporal-resolution data from event cameras. In this paper, we propose quantum analog AEGNNs (QA-AEGNNs), a novel framework to implement an AEGNN on a neutral-atom quantum computer. Neutral-atom quantum processors offer a programmable ana...
Inherent flux crosstalk and coupler-driven single-qubit gates in superconducting circuits
Crosstalk refers to unwanted qubit addressing. This is particularly detrimental when scaling up quantum information systems because unintended interactions limit their overall performance. For superconducting qubits, tunable couplings and frequency tunability achieved through externally applied magnetic fluxes enable high-fidelity entangling gates; however, they also introdu...
Unitary Channel Testing Under a Depolarizing Noise Assumption
We present fast algorithms $\unicode{x2013}$ under the depolarizing noise assumption, often made in fault-tolerant quantum computations $\unicode{x2013}$ to test its strength. Our optimal algorithms answer the following question: is the quantum channel implemented by a given black box identical to a target unitary or $\varepsilon$-far from it in the diamond distance, assumin...
Ultra-high Q-factor superconducting tantalum resonators on 300 mm Si wafers
Superconducting resonators are central to superconducting quantum information technologies and essential for bosonic qubit architectures, where long-lived storage modes enable hardware-efficient error correction. Achieving ultra-high quality factors in scalable planar circuits is challenging because multiple dissipation channels contribute to the total loss. Here we report p...
We formulate an exact Green-function theory for non-Hermitian single-microwave-photon scattering by finite superconducting circuit subsystems embedded in an SSH waveguide. The structured SSH environment is integrated out exactly and enters the local scattering problem as an energy-dependent matrix self-energy, reducing the full open system to a finite-dimensional effective n...
Control and Quantum-AI Integration
The Yang-Baxter Equation for the Chiral Potts Model and Integrable Parafermions
A new type of Yang-Baxter equation (YBE) for $R$-matrices parameterized by three spectral parameters is constructed from the star-triangle and star-star relations for the chiral Potts model. As the $Z_N$ symmetric generalization to the Ising model, its Boltzmann weights are known to depend on two variables describing a curve with genus larger than one for $N>2$, except for t...
Experimental implementation of continuous-variable QAOA on a quad-rail lattice cluster state
We experimentally demonstrate the continuous-variable quantum approximate optimization algorithm (CV-QAOA) for multi-variable problems and multiple QAOA depths using a measurement-based CV quantum computing platform on a quad-rail lattice (QRL) cluster state. We propose a systematic method to map arbitrary quadratic cost functions onto the QRL architecture and examine the re...
Neural-network solution of subtracted three-body Faddeev integral equations near the Efimov limit
We apply a deep-neural-network (DNN) ansatz to the symmetrized spectator vector of the subtracted three-body Faddeev integral equation for identical bosons near the Efimov limit. The network is trained by minimizing the residual of the discretized integral equation, while the positive binding scale associated with the three-body energy is treated as a trainable parameter. De...
Trainability of IQP Quantum Circuit Born Machines Under Gaussian Initialization
Quantum Circuit Born Machines (QCBMs) offer a natural approach to generative machine learning by leveraging the Born rule. Recent work has provided a method to classically train QCBMs with Instantaneous Quantum Polynomial (IQP) circuits via the Maximum Mean Discrepancy (MMD) loss. Despite the assumed intractability of sampling from IQP circuits classically, their expectation...
Towards the implementation of a quantum classifier
In this work, we investigate the use of a quantum circuit as a binary classification model in the context of quantum machine learning. We call this model, binary quantum classifier. First, we describe fundamental concepts of quantum computing and introduce the computational tool used: Qibo, an open-source framework for efficient quantum simulations and quantum hardware contr...
Variational quantum algorithms are increasingly explored for optimization problems at scales relevant to near-term quantum devices. Their practical performance depends strongly on design choices such as the sampling objective, classical optimizer, and ansatz layout before and after hardware transpilation. We study these factors for dynamic portfolio optimization, a multi-per...
Commercial and Industry Context
Floquet analysis of coherence in periodically driven diamond NV ensemble systems
High-density nitrogen-vacancy (NV) ensembles are promising platforms for solid-state quantum sensing, but their performance is limited by dipolar interactions and inhomogeneous dephasing. Periodic decoupling sequences such as Waugh-Huber-Haeberlen (WAHUHA) can extend the observed stroboscopic decay time. However, it remains unclear that a longer effective dephasing time yiel...
Keyfactor Launches Trust Control Plane to Unify Digital Trust Across the Enterprise
<a href="https://thequantuminsider.com/2026/06/09/keyfactor-launches-trust-control-plane-to-unify-digital-trust-across-the-enterprise/" rel="nofollow" title="Keyfactor Launches Trust Control Plane to Unify Digital Trust Across the Enterprise"><img alt="Image by Nathan Thomas" class="webfeedsFeaturedVisual wp-post-image" height="686" src="https://thequantuminsider.com/wp-cont...
ZenaTech Included in Russell 3000 Benchmark Index
<a href="https://thequantuminsider.com/2026/06/09/zenatech-included-in-russell-3000-benchmark-index/" rel="nofollow" title="ZenaTech Included in Russell 3000 Benchmark Index"><img alt="ZenaTech logo - TQI" class="webfeedsFeaturedVisual wp-post-image" height="675" src="https://thequantuminsider.com/wp-content/uploads/2026/06/2026-06-09_19-07.png" style="display: block; margin...
ELECTRA AI and Naoris Quantum Protocol Partner on Quantum-Safe Battery Intelligence
<a href="https://thequantuminsider.com/2026/06/09/electra-ai-and-naoris-quantum-protocol-partner-on-quantum-safe-battery-intelligence/" rel="nofollow" title="ELECTRA AI and Naoris Quantum Protocol Partner on Quantum-Safe Battery Intelligence"><img alt="ELECTRA AI and Naoris Quantum Protocol partnership logo" class="webfeedsFeaturedVisual wp-post-image" height="752" src="http...
Unrouted Items
Quantum statistics in an extended collider coupled to a qubit
Mesoscopic colliders provide an effective platform for probing the mutual statistics of quantum particles. Recent experiments have successfully extracted the mutual statistics of fermions, and more exotic anyons using quantum point contacts (QPCs). Coupling a point-like collider, such as a quantum point contact, to a two-level impurity or qubit can induce statistical transmu...
Interplay between photon condensation and electron-electron interactions in molecular systems
We investigate a minimal molecular model consisting of square planar plaquettes hosting multiple electrons, whose dynamics is governed by a tight-binding Hamiltonian supplemented by on-site Hubbard repulsion. By coupling this system to a spatially nonuniform cavity mode, we analyze the emergence of a magnetostatic instability, namely photon condensation, originating from the...
The Th-229 nuclear isomeric state has the lowest energy of all known nuclear excited states, placing it within the reach of current table-top laser technology. This extraordinary property has made this nuclear isomer an attractive candidate for a nuclear optical clock of incredibly high precision and accuracy, both as isolated trapped Th-229 ions and embedded into solid-stat...
Revealing the topology of quantum states via Kirkwood-Dirac quasiprobabilities
We discuss a theoretical approach to discriminate whether two states of a many-body quantum system belong or not to different topology classes. This approach is based on expressing a strange correlator - a recently established tool for quantum topology discrimination - between the states as a function of Kirkwood-Dirac quasiprobabilities (KDQs). KDQs provide a first-principl...
Estimating properties of unknown quantum states via quantum singular value transformation (QSVT) often requires high-degree polynomials to handle small eigenvalues of density matrices. Specifically, the existing approaches determine the polynomial degree by relying on overly conservative worst-case bounds based on the minimum non-zero eigenvalue or the rank of the density ma...
Nonreciprocal quantum rotation sensing via virtual-excitation enhancement in a spinning cavity
Quantum sensing with high precision and sensitivity plays an important role in quantum technologies and quantum information processing. Here, we propose a nonreciprocal quantum metrological scheme for estimating rotational angular velocity in a hybrid light-matter platform, where the setup consists of a spinning ring cavity coupled to a two-level system and an auxiliary boso...
Robust self-testing based on Gisin's arbitrary-input Bell inequality
Self-testing refers to the strongest device-independent (DI) certification method that validates the nature of a quantum system and devices solely based on the observed statistics. We demonstrate the self-testing of state and measurements based on the Gisin Bell inequality (GBI) featuring arbitrary inputs for both parties. We introduce a systematic and elegant sum-of-squares...
Random Matrix Theory for Chaotic Wave Scattering and Transport
We review random matrix approaches to chaotic wave scattering and transport in open systems. Starting from the effective non-Hermitian Hamiltonian formulation, we discuss the scattering matrix, reaction matrix, time delays, and complex resonances as complementary probes of open chaotic dynamics. We emphasize universal statistics governed by symmetry, openness, and channel co...
Bell nonlocality provides the foundation for device-independent (DI) certification of quantum devices. We introduce a Bell inequality capable of identifying genuine multipartite nonlocality (GMNL) in an arbitrary m-partite scenario with an arbitrary odd number of measurements per party. Since the multi-setting nature of this inequality precludes the use of Jordan's Lemma, we...
Schmidt Decomposition-Based Methods for Efficient Quantum Image Encoding
In quantum image processing, a fundamental step is encoding classical image data into quantum states. This can be achieved using methods such as Flexible Representation of Quantum Images (FRQI), Quantum Probability Image Encoding (QPIE), and Novel Enhanced Quantum Representation (NEQR). However, on real quantum hardware, these encodings can quickly lead to circuits with many...
Cameron, Montanaro, Newman, Severini and Winter gave a construction which shows that, for $n \in \{2,4,8\}$, any graph $G$ which admits a real $n$-dimensional orthogonal representation is quantumly $n$-colorable. This result can be recast as the statement that the real sphere $S^{n-1}$ is quantumly $n$-colorable for these values of $n$. We investigate possible extensions of...
Sensitivity Enhancement near High-Order Exceptional Points via Dissipative Couplings
High-order exceptional points (EPs) emerging in non-Hermitian systems have attracted broad interest for their significantly enhanced sensitivity to perturbations. However, quantum sensing schemes based on high-order EPs remain scarce, due to the experimental challenge of fine-tuning the system to such an extremely sensitive isolated point. Here we propose a four-channel diss...
The fidelity of controlled quantum teleportation in a noisy environment
In this work, we investigate controlled quantum teleportation in the presence of noisy channels acting on the three-qubit resource state. We employ a series of generalized noisy channels that bridge the dephasing channels and amplitude damping channels while encompassing extensive intermediate scenarios. We provide an in-depth analysis of the degradation of the maximal avera...
We study the pair creation phenomenon for a real scalar field $\varphi$ in the presence of a surface that undergoes time-dependent deformations, while imposing Dirichlet-like boundary conditions. Including terms up to fourth order in the departure of the surface from an infinite plane, we present results for the angular dependence of the emission rate for the vacuum-to-pair...
Noisy quantum channels degrade quantum resources such as coherence and entanglement and hence pose challenges for realizing quantum technologies. Coherent control of noisy channels allows us to minimize their effects on the quantum system. Here we achieve the cancellation of two noisy quantum channels by superposing their corresponding Stinespring dilation unitaries. We firs...
Certification of Network Quantum Sensing
The distribution of quantum sensors on quantum networks is a key enabler of quantum technologies in interferometry, gravimetry, timekeeping, biological monitoring, and beyond. Yet, guaranteeing the security of these distributed sensors over noisy, insecure networks remains a formidable challenge. Previous efforts to combine quantum metrology and cryptography have encountered...
Beyond the weak-coupling limit, open quantum systems equilibrate to a highly entangled thermal state. For continuous-variable systems, this state can be written explicitly as an imaginary-time phase-space path integral, in which the positions are directly entangled with the bath, and the momenta are correlated with the positions through a phase term. Here, we ask to what ext...
Hawking-Page phase transition for pure Lovelock black holes
We investigate the thermodynamic properties of static, spherically symmetric Anti-de Sitter (AdS) black holes, focusing on the interplay between characteristic temperatures, as well as on the universality of Ruppeiner scalar curvature at the Hawking-Page (HP) phase transition. In particular, we study the relation between the minimum temperature and the HP phase transition te...
Anomalous mobility edges and extended-localized transition in a quasiperiodic emitter-cavity array
The manipulation of localization in quasiperiodic systems by mobility edges or localization transition holds significant physical importance. In this letter, we demonstrated that the dissipation can induce the emergence of anomalous mobility edges and extended-localized transition in emitter-cavity arrays controlled by quasiperiodic potentials. Specifically, we observe that...
Interaction-driven dynamics in graphene flakes as a benchmark for quantum simulation
We study interaction-driven ultrafast dynamics in finite graphene flakes following an optical pump quench in an interacting tight-binding model. By comparing exact real-time evolution with simulations restricted to particle-hole excitation subspaces, we assess when relaxation can be captured by low-order many-body processes and when this is not sufficient. The single-particl...
Precision measurements at the interface between unitary and non-unitary encoding
We investigate precision scaling at the interface between unitary and non-unitary encoding under generalized noise including single-particle and collective dephasing and decay. Using linear response theory and the error propagation formula, we derive analytic precision expressions for both the unitary parameter $Ω$ and the dissipation strength $γ$. For unitary encoding, when...
This article presents a comprehensive analysis of two classes of quantum radars, including quantum direct-detection and quantum-entangled noise radars. In the first case, inspired by the well-established concept of single-photon LiDARs, we investigated the performance of single-photon radars, in which state-of-the-art single microwave-photon detectors are employed to enhance...
Optomechanical system with tunable dissipative and dispersive couplings
We demonstrate an optomechanical system with tunable dissipative and dispersive couplings using a Fabry-Perot cavity and a string mechanical resonator. By varying the diameter and material of the mechanical resonator, and the relative location between the mechanical resonator and the cavity, the relative strengths of dissipative and dispersive coupling could be tuned continu...
Reconfigurable MDI-QKD and BB84 over 20 km optical channels via EOM-tailored weak coherent states
Measurement-device-independent quantum key distribution (MDI-QKD) is designed to eliminate detector side-channel vulnerabilities. However, its practical deployment remains experimentally demanding because it requires two-photon interference (TPI) between mutually phase-randomized optical states. In this study, we demonstrate a reconfigurable platform that supports both polar...
A Recrossing-Free Dividing Surface in Quantum Mechanics
For nearly a century, a recrossing-free dividing surface in quantum mechanics has been thought impossible. One-way reactive flux seems to require simultaneous trajectory-level knowledge of position and momentum -- an apparent conflict with the uncertainty principle. We show that this obstruction is not fundamental. The exact quantum flow can admit stable and unstable invaria...
Identical Bosons, large occupation numbers and classical field description
For a system with a large number of identical Bosons, it is common to claim, often without any additional justifications, that, when the mean occupation number in a single particle state is sufficiently large, classical field description will be applicable. This is why e.g. for ultra-light dark matter, the classical field equations are used to compute its dynamics. In this w...
Scaling law of asymptotic freedom in collective charging of quantum batteries
We establish a universal scaling law for collective charging of quantum batteries, independent of microscopic details. We prove that the ergotropy-to-energy ratio approaches unity at least as fast as $\sim N^{-1}$ with the number of batteries $N$, implying generic asymptotic freedom. We further show how the universal $1/N$ scaling can be overcome: when the battery state beco...
ICQIA Expands Global Reach With New Charter And Members
<a href="https://thequantuminsider.com/2026/06/10/icqia-expands-global-reach-with-new-charter-and-members/" rel="nofollow" title="ICQIA Expands Global Reach With New Charter And Members"><img alt="international quantum" class="webfeedsFeaturedVisual wp-post-image" height="887" src="https://thequantuminsider.com/wp-content/uploads/2026/06/International-1.png" style="display:...
Quantum Sensor Advance Could Transform Army Battlefield Signal Detection
<a href="https://thequantuminsider.com/2026/06/09/quantum-sensor-advance-could-transform-army-battlefield-signal-detection/" rel="nofollow" title="Quantum Sensor Advance Could Transform Army Battlefield Signal Detection"><img alt="Quantum Sensor" class="webfeedsFeaturedVisual wp-post-image" height="800" src="https://thequantuminsider.com/wp-content/uploads/2026/06/Sensor.jpg...
Estonia Upgrades National Digital Identity Cards with Thales
<a href="https://thequantuminsider.com/2026/06/09/estonia-upgrades-national-digital-identity-cards-with-thales/" rel="nofollow" title="Estonia Upgrades National Digital Identity Cards with Thales"><img alt="eID Thales" class="webfeedsFeaturedVisual wp-post-image" height="697" src="https://thequantuminsider.com/wp-content/uploads/2026/06/2026-06-09_18-52.png" style="display:...
QTREX Awarded Government Grant to Advance Native RF Dielectric Material for Quantum Computing
<a href="https://thequantuminsider.com/2026/06/09/qtrex-awarded-government-grant-to-advance-rf-dielectric-material-for-quantum-computing/" rel="nofollow" title="QTREX Awarded Government Grant to Advance Native RF Dielectric Material for Quantum Computing"><img alt="QTREX logo - TQI" class="webfeedsFeaturedVisual wp-post-image" height="669" src="https://thequantuminsider.com/...
Chips
46 chip stack items collected on 2026-06-10; memory, packaging, compute, and foundry signals routed.Compute Accelerators
NAVER Expands AI Infrastructure With NVIDIA to Serve Surging Global AI Demand
NVIDIA and NAVER today announced that NAVER will expand sovereign AI infrastructure, starting at 55 megawatts with plans to move to gigawatt scale using the NVIDIA DSX™ platform to rapidly design, build and scale full-stack, end-to-end AI platforms that can serve enterprises, industries and government.
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.
Memory and Advanced Packaging
Enhancing High Bandwidth Memory (HBM) Reliability With 3D X-ray Inspection
<p>A non-destructive, volumetric view enables engineers to detect defects that could compromise performance or reliability.</p> <p>The post <a href="https://semiengineering.com/enhancing-high-bandwidth-memory-hbm-reliability-with-3d-x-ray-inspection/">Enhancing High Bandwidth Memory (HBM) Reliability With 3D X-ray Inspection</a> appeared first on <a href="https://semienginee...
Custom Silicon and Networking
Building Multi-Agent Systems For ASIC Flows
<p>How agents can be used to divide and conquer IC design problems.</p> <p>The post <a href="https://semiengineering.com/building-multi-agent-systems-for-asic-flows/">Building Multi-Agent Systems For ASIC Flows</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Effective UX/UI Is A Critical Link Between AI Insights And Yield Improvement
<p>AI must operate as a verifiable engineering collaborator where outputs are transparent, traceable, and subject to human interpretation and refinement.</p> <p>The post <a href="https://semiengineering.com/effective-ux-ui-is-a-critical-link-between-ai-insights-and-yield-improvement/">Effective UX/UI Is A Critical Link Between AI Insights And Yield Improvement</a> appeared f...
Co-Packaged Optics Testing Faces Steep Data Center Ramp
<p>Scaling to tens of millions of CPO units per year requires the industry to first settle on automated, cost-effective methods for electrical and optical testing.</p> <p>The post <a href="https://semiengineering.com/co-packaged-optics-testing-faces-steep-data-center-ramp/">Co-Packaged Optics Testing Faces Steep Data Center Ramp</a> appeared first on <a href="https://semieng...
Foundry, Tools, and Capex
What I Learned At The 2026 GSA Tech Summit: The Future Of Semiconductor Collaboration Is Full Stack
<p>Advanced node manufacturing and heterogeneous integration require partnerships that span the full value chain.</p> <p>The post <a href="https://semiengineering.com/what-i-learned-at-the-2026-gsa-tech-summit-the-future-of-semiconductor-collaboration-is-full-stack/">What I Learned At The 2026 GSA Tech Summit: The Future Of Semiconductor Collaboration Is Full Stack</a> appea...
Unrouted Items
NVIDIA and SK hynix Announce Multiyear Technology Partnership to Advance Memory for AI Factories
NVIDIA and SK hynix today announced a multiyear technology partnership to advance next-generation memory for the global AI factory buildout and accelerate semiconductor design and manufacturing.
SK Telecom and NVIDIA Build AI Infrastructure to Power Korea’s AI Innovation
NVIDIA and SK Telecom today announced that SK Telecom plans to build a gigawatt-scale AI Cloud in Korea using the NVIDIA DSX™ platform, with the first AI factory coming online in 2027.
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 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 Commits up to £2 Billion to Accelerate AI Innovation and Research in the United Kingdom
AMD Announces More Than $10 Billion in Taiwan Ecosystem Investments to Accelerate AI Infrastructure
AMD Gives Consumers and Businesses More AI PC Options with Expanded Ryzen™ AI 400 Series Portfolio
PCIe Benefits From AI, Despite Scaling Protocols
<p>CXL is also gaining traction in AI processing, while MIPI and others are growing at the edge.</p> <p>The post <a href="https://semiengineering.com/pcie-benefits-from-ai-despite-scaling-protocols/">PCIe Benefits From AI, Despite Scaling Protocols</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
AI Models Transform Defect Inspection And Review, But Can Fail To Scale
<p>Majority of AI initiatives falter; synthetic data gaining traction due to limited real-world data.</p> <p>The post <a href="https://semiengineering.com/ai-models-transform-defect-inspection-and-review-but-can-fail-to-scale/">AI Models Transform Defect Inspection And Review, But Can Fail To Scale</a> appeared first on <a href="https://semiengineering.com">Semiconductor Eng...
Why Analog And Mixed-Signal Chips Resist Adaptive Test
<p>Analog behavior is difficult to compress into simple pass/fail decisions that could reduce redundant coverage.</p> <p>The post <a href="https://semiengineering.com/why-analog-and-mixed-signal-chips-resist-adaptive-test/">Why Analog And Mixed-Signal Chips Resist Adaptive Test</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Power
22 power layer items collected on 2026-06-10; data center load, grid, generation, and cooling signals routed.Data Center Power Demand
Data center server energy use grows across the commercial building stock
In the Annual Energy Outlook 2026 (AEO2026), our long-term outlook, we project electricity consumed by data center servers will increase across the commercial building stock, increasing more in standalone data centers than in all other data center rooms combined. By 2050, server consumption alone reaches between 446 billion kilowatthours (BkWh) and 818 billion BkWh. The high...
Commercial electricity sales have soared in Virginia, driven by data centers
Commercial electricity sales in Virginia increased by nearly 30.0 million megawatthours (MWh) between 2019 and 2025, much faster growth than in any other state except Texas, a much larger state, according to our Annual Electric Power Industry Report. The growth in sales of electricity in Virginia is largely driven by a concentration of data centers, as well as electric vehic...
ENKA and GE Vernova mark the start of commercial operation of Türkiye’s first HA-powered plant
Kırklareli, Türkiye - (May 12, 2026) ENKA and GE Vernova Inc (NYSE: GEV) today announced the start of commercial operations at the 852 megawatts (MW) Kırklareli power plant in Kırklareli, about 20 miles from the Bulgarian border in Türkiye. The facility is the first HA-powered plant
Grid and Generation
China's nuclear power capacity nearly doubled since 2016
From 2016 to 2024, China's nuclear generation capacity increased 76% (24 GW), based on our International Energy Statistics (IES) data. According to the International Atomic Energy Agency's Power Reactor Information System (PRIS), China added an additional 1.1 GW of nuclear power capacity in 2025 and 2.2 GW in 2026 (through May). China is continuing to build out its nuclear g...
Coal remains competitive for power generation in the central United States
In the first four months of 2026, electricity, natural gas, and coal prices suggested continued favorable economics for coal generation in MISO. The dark spread of coal, the difference between the fuel costs for coal-fired generation and the wholesale electricity price, in the Midcontinent Independent System Operator (MISO) region outpaced a similar measure of revenue relati...
Electricity generation from solar could exceed coal in ERCOT for the first time in 2026
In our most recent Short-Term Energy Outlook (STEO), we forecast that annual electric power generation from utility-scale solar will surpass that from coal for the first time in 2026 within the electricity grid that covers most of Texas. Solar generation is expected to reach 78 billion kilowatthours (BkWh) in 2026 in the electricity grid operated by the Electric Reliability...
Coal distributions for non-electric power use decline in the South
The volume of coal delivered in the United States for uses other than power generation—primarily, for manufacturing—decreased by about half in the last 15 years. Coal delivered for these purposes in the South decreased the most in percentage terms between 2010 and 2025, falling 75%, or 14.7 million short tons (MMst), according to our Annual Coal Distribution Report and Quart...
GE Vernova Introduces GridOS® for Transmission and New AI Whitepapers at Orchestrate 2026
ATLANTA, GA., June 9, 2026 – GE Vernova (NYSE: GEV) today introduces GridOS for Transmission and released two new AI whitepapers addressing grid planning and autonomous grid-edge operations at Orchestrate 2026, the company's annual grid software conference bringing together utility leaders,
New Delhi, India (June 4, 2026) – GE Vernova Inc. (NYSE: GEV) announced today that it has signed an agreement with Powerica Limited to supply 28 of its 3.8 MW–154m* onshore wind turbines for the Botad Wind Farm in Gujarat, India. The 100 MW project marks the debut of GE Vernova’s 3.8 MW
ATLANTA, GA - (May 26, 2026) - GE Vernova Inc. (NYSE: GEV) today announced that its HA gas turbine fleet has surpassed 4 million commercial operating hours worldwide, marking an important milestone for one of the power industry’s most advanced and efficient gas turbine technologies.
GE Vernova secures order to modernize key power plants in Egypt
CAIRO, Egypt (April 29, 2026) – GE Vernova Inc. (NYSE: GEV) announced today that it received an order from an affiliate of Egyptian Electricity Holding Company (EEHC,) Middle Delta Electricity Production Company (MDEPC), to modernize power generation infrastructure and improve
Cooling and Electrical Infrastructure
Most planned natural gas pipeline capacity additions in 2026 and 2027 originate in Texas
Developers plan to bring approximately 44.9 billion cubic feet per day (Bcf/d) of new pipeline capacity online in the United States in 2026 and 2027, according to our latest Natural Gas Pipeline Projects Tracker. Approximately 70% (31.6 Bcf/d) of this new capacity is already under construction. More than 66% (29.7 Bcf/d) of the capacity additions originate in Texas. Louisian...
Markets and Policy
Natural gas for power generation flat this summer, record high expected in 2027
We forecast natural gas consumption by the U.S. electric power sector this summer will remain near recent highs and set a record next summer in our May Short-Term Energy Outlook (STEO). Despite a 2% increase in overall U.S. electricity demand this summer, we expect natural gas-fired electricity generation to be similar to last summer, primarily because of forecast increased...
Unrouted Items
U.S. natural gas storage capacity increased slightly in 2025
Underground working natural gas storage capacity in the Lower 48 states increased slightly in 2025, according to our latest data, with growth concentrated in the South Central and Mountain regions. Underground natural gas storage provides a source of energy when demand increases, balancing U.S. energy needs. We calculate natural gas storage capacity in two ways: demonstrated...
GE Vernova to deliver pumped-storage technology for India’s 1.35 GW Upper Sileru hydropower plant
VADODARA, INDIA (May 4, 2026) – GE Vernova Inc. (NYSE: GEV) announced today that it has secured an order from Megha Engineering & Infrastructures Limited (MEIL) to deliver nine 150 MW pumped-storage units for the 1.35 GW Upper Sileru hydropower plant, located in the state of
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