June 17, 2026.

Impulse Decoding of Quantum LDPC Codes: Equivalence of Degeneracy and Code-Shortening

Quantum error correction is essential for building scalable quantum computers. Within the stabilizer formalism, the Calderbank-Shor-Steane framework constructs quantum codes from pairs of classical linear codes. A distinctive feature in this setting is degeneracy, where multiple equivalent error estimates exist-a phenomenon that has no classical counterpart, and the lack of...

Einstein-Podolsky-Rosen correlations between mechanical oscillators revealed through SU(1,1) interferometry

Quantum correlations are essential for achieving quantum advantage in computing, communication and sensing. Moreover, their observation challenges and constrains our fundamental understanding of nature. Mechanical oscillators in the quantum regime provide an appealing platform for preparing and investigating quantum correlations at macroscopic scales. Despite substantial pro...

Learning Arbitrary Lindbladians with Quantum Error Correction

We study ansatz-free Lindbladian learning, the problem of reconstructing the generator of an open quantum system without prior knowledge of its Hamiltonian or dissipator structures. This problem exhibits two distinct information-theoretic precision limits: Hamiltonian components unmasked by dissipation are Heisenberg-limited, while the remaining Lindbladian components are su...

A polynomial-time approximation scheme for minimum-weight decoding of topological codes

Two-dimensional topological translationally invariant (2D TTI) stabilizer codes lie at the heart of fault-tolerant quantum computation, but using them requires solving the decoding problem. Minimum-weight decoding of these codes was recently shown to be NP-hard, even in basic settings, such as the color code with Pauli $Z$ errors and the toric code with Pauli $X$, $Y$ and $Z...

Singular Vector Finite Element Basis Functions for Tetrahedra in Complex Electromagnetic Geometries

Electromagnetic finite element method (FEM) implementations using traditional basis functions struggle to accurately represent field behavior near singular features such as conducting wedges. To combat this, specialized singular basis functions have been introduced to directly model the singular fields in these regions, leading to substantially improved performance. While th...

Cavity-enhanced superconducting response in an underdoped cuprate

Superconductors carry electrical current without resistance when paired electrons condense into a coherent macroscopic quantum state. In underdoped cuprates, evidence suggests that pairing-related correlations and superconducting fluctuations can survive above the temperature at which global coherence is lost, pointing to phase fluctuations as a key limitation on superconduc...

SPICE-Q and Large-Scale Quantum Chip Production

We propose SPICE-Q, a SPICE-inspired design-technology co-optimization framework for superconducting quantum processors. Rather than replacing tools such as HFSS, Qiskit Metal, pyEPR, SQcircuit, SQuADDS, scqubits, or QuTiP, SPICE-Q aims to connect them through a unified, traceable data chain spanning process rules, layout, electromagnetic simulation, energy-participation-rat...

Quantum Chip Paradigm Framework

Quantum Electronic Design Automation (Q-EDA) is emerging as quantum chips move from laboratory prototypes to scalable engineering systems. This paper argues that superconducting quantum chip design is approaching a "SPICE moment" similar to early classical EDA, where growing qubit scale, control complexity, frequency planning, packaging, process variation, and cryogenic meas...

Optimal Calibration of Quantum Network Links

The reliable distribution of entanglement is essential for the effective operation of quantum networks. Due to fundamental differences between quantum and classical communication systems, it is necessary to develop specialised algorithms and protocols that also account for quantum-specific constraints. In this work, we focus on the issue of recalibration. As suggested by rec...

Stochastic signal sensing with finite energy and dead time at the fundamental quantum limit

State preparation, measurement, and reset operations take finite time and use finite energy in realistic experiments, yet the impact of this on optimal quantum metrological protocols is not properly understood. We study the effect on sensing a stochastic signal, relevant for the detection of ultralight dark matter and other searches for fundamental physics. We prove that two...

Engineering entanglement and transport in interacting quantum walks with tailored potentials

Controlling the interplay between particle propagation and quantum correlation generation is a central challenge in quantum transport. Here, we investigate two distinguishable continuous-time quantum walkers evolving on parallel one-dimensional lattices, interacting via distance-dependent potentials. While on-site interactions reproduce the typical bosonic behaviour, extendi...

Pulse-optimised circuit elements for scalable and noise-resilient quantum chemistry

Useful chemistry calculations on near-term quantum processors are hindered by current algorithmic runtimes. We develop a methodology to significantly reduce these runtimes. Typically, variational quantum eigensolver (VQE) algorithms are implemented as sequences of primitive gates. Our methodology instead relies on gradient-ascent pulse engineering to construct hardware-tailo...

Manipulation of Topological Corner States via Subchiral Symmetry

Higher-order topological phases provide robust corner modes, but their use requires controllable creation, isolation, and transfer of individual modes and their superpositions. Here we demonstrate, using the two-dimensional Benalcazar-Bernevig-Hughes model as an example, that subchiral symmetry provides a general control principle for manipulating topological corner modes. T...

Fabless Quantum Chip Design and Commercial Production

This paper proposes a fabless quantum-chip design and production architecture for superconducting quantum computing, centered on the SPICE-Q multiphysics simulation framework. The proposed ecosystem connects process-certified quantum PDKs, parameterized device cells, traceable model cards, SPICE-Q physical modeling languages, unified Q-EDA flows, foundry sign-off rules, cryo...

From Period Finding to Lattice Sampling: Experimental Insights into Shor's and Regev's Factoring Algorithms

Quantum algorithms for integer factorization represent one of the most prominent applications of quantum computation, with far-reaching implications for modern cryptography. While Shor's algorithm provides a polynomial-time solution in the ideal quantum model, its practical implementation is severely constrained by the limitations of current noisy intermediate-scale quantum...

Element Six And Orbray Accelerate Wafer-Scale Single Crystal Diamond For Volume Production

<a href="https://thequantuminsider.com/2026/06/17/element-six-and-orbray-accelerate-wafer-scale-single-crystal-diamond-for-volume-production/" rel="nofollow" title="Element Six And Orbray Accelerate Wafer-Scale Single Crystal Diamond For Volume Production"><img alt="element 6" class="webfeedsFeaturedVisual wp-post-image" height="849" src="https://thequantuminsider.com/wp-con...

IQM Deploys Its First U.S. Quantum Computer at Oak Ridge National Laboratory

<a href="https://thequantuminsider.com/2026/06/17/iqm-deploys-its-first-u-s-quantum-computer-at-oak-ridge-national-laboratory/" rel="nofollow" title="IQM Deploys Its First U.S. Quantum Computer at Oak Ridge National Laboratory"><img alt="IQM" class="webfeedsFeaturedVisual wp-post-image" height="1080" src="https://thequantuminsider.com/wp-content/uploads/2026/06/IQM-1.jpg" st...

Atom Computing Raises More Than $300 Million to Accelerate Deployment of Fault-Tolerant, Neutral-Atom Quantum Computers

<a href="https://thequantuminsider.com/2026/06/17/atom-computing-raises-more-than-300-million-to-accelerate-deployment-of-fault-tolerant-neutral-atom-quantum-computers/" rel="nofollow" title="Atom Computing Raises More Than $300 Million to Accelerate Deployment of Fault-Tolerant, Neutral-Atom Quantum Computers"><img alt="Atom Computing" class="webfeedsFeaturedVisual wp-post-...

OVHcloud Expands Quantum Platform and Launches Quantum Networking Collaboration

<a href="https://thequantuminsider.com/2026/06/17/ovhcloud-expands-quantum-platform-and-launches-quantum-networking-collaboration/" rel="nofollow" title="OVHcloud Expands Quantum Platform and Launches Quantum Networking Collaboration"><img alt="– OVHcloud" class="webfeedsFeaturedVisual wp-post-image" height="493" src="https://thequantuminsider.com/wp-content/uploads/2026/06/...

Nord Quantique Names Tobi Day-Hamilton CCO and Angela Olano VP of Marketing

<a href="https://thequantuminsider.com/2026/06/16/nord-quantique-adds-two-executives-to-support-growth-and-market-expansion/" rel="nofollow" title="Nord Quantique Names Tobi Day-Hamilton CCO and Angela Olano VP of Marketing"><img alt="Tobi Day-Hamilton, Chief Communications Officer at Nord Quantique" class="webfeedsFeaturedVisual wp-post-image" height="699" src="https://theq...

Optimal Probe State for Phase Estimation Under Covariant Measurement

We study the optimization of input states for phase estimation under covariant measurements. Building on Holevo's framework, which provides the optimal covariant measurement for a fixed input state, we further optimize over the input state itself. For a general even $2π$-periodic cost function with non-negative Fourier coefficients, we derive a necessary and sufficient condi...

Closest Accessible Symmetry reduction: a tool for Hamiltonian interpolation analysis

We introduce a framework for analysing the spectrum of Hamiltonian interpolations without heavily relying on discretising the interpolation parameter. The method is based on the concept of accessible symmetries: a problem-class-dependent family of certifiable reflections that induce bipartitions of the Hilbert space. At each step, the interpolation Hamiltonian is projected o...

Quantum statistical enhancement of collective behaviour in a bosonic active Ising model

Collective behaviour such as flocking (the collective motion of a spontaneously formed group along a common direction) or aster formation (the binding of opposing flocks, inhibiting each others motion) are intriguing emergent phenomena in active systems with local alignment rules. Until recently, their occurrence was mainly studied for classical systems, a prime example bein...

Full-state information-disturbance tradeoff for direction estimation with antiparallel spin-coherent pairs

We determine the optimal information--disturbance tradeoff for estimating an unknown spatial direction encoded in two antiparallel spins. Rotational covariance reduces the optimization over all instruments to a finite-dimensional Choi problem: a positive seed operator obeys one trace constraint for each irreducible sector of the input representation, while both the direction...

Approximately Decoding the Colour Code

Recently we showed that minimum weight decoding in the (6.6.6 planar) colour code is NP-hard. However, it remained an open question as to whether it was possible to approximate the minimum weight decoding arbitrarily closely in polynomial time. In this paper we prove that it is possible: for any $\varepsilon>0$ there is an polynomial time algorithm that, given a syndrome, ca...

Emergent de Sitter Space and Non-Unitary Tensor Networks from Non-Hermitian Quantum Criticality

Extending the holographic principle to de Sitter (dS) spacetimes remains one of the most vital open frontiers in quantum gravity, where a microscopic, bottom-up tensor-network framework that relates boundary quantum data to emergent de Sitter spacetime is still lacking. In this work, we first show the emergence of de Sitter spacetime from boundary entanglement by formulating...

Average entropy of Bogoliubov-Kubo-Mori random state ensemble

Random states play a foundational role in different branches of modern quantum science. In this work, we study a recently proposed random state ensemble induced from von Neumann entropy through the Bogoliubov-Kubo-Mori (BKM) metric. In particular, we derive an exact yet explicit formula of average entanglement entropy over BKM ensemble. In obtaining the formula, we only make...

A Lindbladian for holographic Brownian motion

We derive a Lindbladian description of holographic Brownian motion in the high-temperature regime. Starting from the influence functional for a trailing string endpoint, we identify the corresponding quantum master equation and prove that it is completely positive and trace-preserving. We determine the coefficients of the Lindbladian explicitly for two holographic background...

Twin-beam advantage in quantum LiDAR under correlated noise

Quantum light promises improved precision in optical remote sensing, but its practical advantage depends critically on whether nonclassical resources remain useful under realistic noise and experimentally accessible detection. This question becomes especially relevant for LiDAR systems, where a quantum advantage has been demonstrated for target detection and joint range-velo...

Demultiplexing Generalized Information via Quantum Transmission Lines

Demultiplexers are the fundamental primitives of network architecture, enabling perfect routing of an input classical signal to a designated one, among multiple output ports. Quantum transmission lines, having access to the quantum systems directly, are able to transmit both the classical and quantum information encoded in quantum systems. A natural question therefore emerge...

Frequency upconversion of infrared signals via molecular cavity optomechanical systems with gain

Molecular cavity optomechanical systems have recently emerged as a promising platform for enhancing infrared detection sensitivity, owing to their ability to up-convert low-frequency infrared (IR) photons to visible frequency range. Generally, under red-detuned pumping in such systems, the ideal conversion efficiency of the IR signal approaches 1. To overcome this efficiency...

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery

The discovery of novel crystalline materials is a critical challenge in computational materials science, often limited by the spatial representation limitations and mode collapse typical of classical generative models. Traditionally, developing Quantum GANs for continuous 3D space is hindered by the limited capacity of near-term hardware. To overcome this, we adapt a physics...

Quantum Routers: A Switching-Fabric Framework for Quantum-Native Forwarding

Forwarding in quantum networks cannot be realized by directly transposing classical switching fabrics, since the no-cloning theorem and the quantum measurement postulate constrain the direct relay of quantum information while ruling out copy-based buffering and inspection. In this paper, we propose a switching-fabric framework for quantum routers based on multipartite entang...

Cavity method for permutation models on Cayley trees

Motivated by permutation statistical models arising in random tensor networks, we study permutation models on a Cayley tree whose variables take values in the symmetric group $\Sn$. The pair interaction is assumed to depend only on the cycle type of the relative permutation. Then the Boltzmann weight is written as a class function on $\Sn$. This property diagonalizes the edg...

Dimension-Free Approximate Tensorization of Quantum Hypercontractivity for Qudit Depolarizing Semigroups

We prove almost tensorization for hypercontractivity and logarithmic-Sobolev constants for a class of reversible quantum Markov semigroups satisfying the positive off-diagonal scaling (PODS) property. This class includes qubit examples and generalized depolarizing semigroups with respect to full-rank states in arbitrary finite dimensions. For any such semigroup $(Φ_t)_{t\ge...

Quantum mechanics in configuration space in context

To enhance the way in which wave-particle duality is implemented in the modelling of quantum mechanical systems, Bukhari et al. [New J. Phys. 27, 084501 (2025)] recently introduced an alternative approach to quantum mechanics, namely quantum mechanics in configuration space. This formalism is based on a physically motivated quantisation of Newtonian mechanics and promotes th...

Quantum Computing Algebra (QCA), the theory and implementation

We present a real geometric algebra framework designed for the direct translation of the Dirac formalism into geometric algebra representations. Unlike previous approaches based on positive-definite signatures, QCA employs a split-signature construction that enables a natural realization of quantum states and operators while simplifying computational implementation. We furth...

Photon anti-bunching in high harmonic generation

Photon anti-bunching is the direct evidence for the existence of photons without having a classical counterpart. Unlike bunching of photons, which can have a semi-classical description, the effect of photon anti-bunching can only be understood with quantized electromagnetic fields. However, for the process of high harmonic generation (HHG), where many photons of the driving...

Helical Dirac Current with Local Coupling to a Chiral Potential

We show that exact Dirac eigenstates in cylindrical confinement carry a definite helical conserved-current texture even in the zero orbital angular momentum channel l = 0. For the lowest confined mode, the Dirac current contains a nonvanishing azimuthal component together with longitudinal transport and exhibits opposite handedness in the two spin-resolved sectors. The struc...

Asymptotically Optimal Circuit Depth for Diagonal Unitary Synthesis and Compilation on Two-Dimensional Grids

Diagonal unitaries are a fundamental but resource-intensive class of quantum operations, arising as the phase separators of QAOA and the time-evolution blocks of Hamiltonian simulation. Under all-to-all connectivity their optimal depth is established, but on nearest-neighbor hardware general-purpose compilers fall back on heuristic search, which yields no analyzable cost bou...

On the entanglement induced by the deformation of phase-space

Most quantum gravity theories propose that the fundamental concept of space-time is mostly compatible with quantum theory in noncommutative (NC) space. In the present paper, we revisit the notion of entanglement induced by NC deformations of phase space. The positive partial transpose (PPT) criterion for separability of bipartite Gaussian states is extended to a general clas...

Kinematic properties of the Pauli equation

Based on the Wigner-Vlasov formalism, this paper investigates the kinematic properties of the Pauli equation. It is shown that the probability current associated with the Pauli equation can be represented as a superposition of two currents with certain expansion coefficients. Each of these currents corresponds to a particular component of the spinor. The expansion coefficien...

Vorticity Induced by Non-frontal Collisions of Quantum Droplets

The rotational dynamics induced by the non-frontal binary collisions of quantum droplets composed of ultracold alkali atoms are analyzed. A theoretical study is presented within the extended Gross-Pitaevskii equation framework, using experimentally feasible conditions. Numerical experiments elucidate a rich landscape of possible topological excitations in the system that are...

Broadband High-Level Squeezed Light using Waveguide Optical Parametric Amplifiers with External Dispersion Compensation

We demonstrate broadband phase-sensitive amplification (PSA) measurement of squeezed light generated by a waveguide optical parametric amplifier (OPA) with external dispersion compensation. In broadband systems, group velocity dispersion (GVD) induces a frequency-dependent rotation of the squeezing axis, which limits the observable bandwidth in PSA measurements. To overcome...

Acceleration-induced spectral blind spots in stimulated atomic transitions

Stimulated transitions are among the most fundamental processes in light-matter interaction, underlying resonant absorption and emission in atomic systems. Here we show that uniform acceleration can convert this familiar response into a frequency-selective absence of response. Specifically, when an incident photon has a nonzero momentum component transverse to the accelerati...

Time-spectral control of accidental coincidences in daylight entanglement-based free-space QKD

Daylight entanglement-based free-space quantum key distribution (QKD) is limited by accidental coincidences from receiver-admitted background light. We develop and experimentally validate a receiver-level framework linking receiver bandwidth, accepted temporal width, and background-noise density to Bob singles, sifted-key rate, error rate, and quantum bit error rate (QBER) i...

Canonical regularization of the stationary Coulomb problem and an Aufbau-like spectral ordering

The stationary hydrogen atom has Coulomb degeneracy across orbital levels, whereas the Aufbau/Madelung ordering is an empirical, many-electron rule established in atomic physics. We examine the hydrogen atom through a regularized de Broglie--Bohm representation, in which stationary amplitude current constraints generate separable Sturm--Liouville branches. In this formulatio...

Robust Spin Splitting and Strain-Controlled Optical Response in Monolayer CrC2N4 for Valleytronic and Optoelectronic Applications

Monolayer CrC2N4 recently emerged as a promising two-dimensional semiconductor, yet its spin-orbit-coupled (SOC) physics and strain-tunable optical response remained largely unexplored. Here, we investigated the electronic, valley, charge-transfer, and optical properties of pristine and biaxially strained monolayer CrC2N4 using first-principles calculations. The monolayer ex...

Induced Resource Theories and Harvesting via Quantum Probes

We consider scenarios in which a quantum system with a well-defined resource theory is used as a probe to interact with an environment, such as a quantum field, for which a resource-theoretic description is absent or incomplete. We clarify if and how the harvesting of a resource in the probe can tell us about the state of the environment. This is particularly ambiguous when...

Guest Post: Is Australia Leading The Way in Quantum With Its Deliberate Bet on Manufacturing Economics?

<a href="https://thequantuminsider.com/2026/06/17/guest-post-is-australia-leading-the-way-in-quantum-with-its-deliberate-bet-on-manufacturing-economics/" rel="nofollow" title="Guest Post: Is Australia Leading The Way in Quantum With Its Deliberate Bet on Manufacturing Economics?"><img alt="shallow focus photo of desk globe" class="webfeedsFeaturedVisual wp-post-image" height...

The Quantum Kid Podcast: How Do You Build a Quantum Startup?

<a href="https://thequantuminsider.com/2026/06/16/the-quantum-kid-podcast-how-do-you-build-a-quantum-startup/" rel="nofollow" title="The Quantum Kid Podcast: How Do You Build a Quantum Startup?"><img alt="" class="webfeedsFeaturedVisual wp-post-image" height="1210" src="https://thequantuminsider.com/wp-content/uploads/2026/06/ZuriQ-pic.png" style="display: block; margin: aut...

EPB Quantum to Host First Quantum in Business Event in Chattanooga

<a href="https://thequantuminsider.com/2026/06/16/epb-quantum-to-host-first-quantum-in-business-event-in-chattanooga/" rel="nofollow" title="EPB Quantum to Host First Quantum in Business Event in Chattanooga"><img alt="ebp logo - TQI" class="webfeedsFeaturedVisual wp-post-image" height="690" src="https://thequantuminsider.com/wp-content/uploads/2026/06/2026-06-16_20-30.png"...

Agentic Operating System for Quantum R&D Teams

<a href="https://thequantuminsider.com/2026/06/16/agentic-operating-system-for-quantum-rd-teams/" rel="nofollow" title="Agentic Operating System for Quantum R&#038;D Teams"><img alt="Haiqu" class="webfeedsFeaturedVisual wp-post-image" height="630" src="https://thequantuminsider.com/wp-content/uploads/2026/06/Haiqu_webinar_banner_b.2-2.png" style="display: block; margin: auto...

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.

Physical Neural Networks: A Survey (U. of Lübeck, TU Hamburg)

<p>Researchers from the University of Lübeck and TU Hamburg published a technical paper titled “Beyond Silicon: Materials, Mechanisms, and Methods for Physical Neural Computing.” Abstract: “Physical implementations of neural computation now extend far beyond silicon hardware, encompassing substrates such as memristive devices, photonic circuits, mechanical metamaterials, mic...

AMD Announces Production Ramp of Next-Generation AMD EPYC Processor “Venice” on TSMC 2nm Process Technology

Chip Industry Technical Paper Roundup: June 16

<p>Multi-GPU traffic modeling; physical neural computing; RISC-V fault injection; automotive CAN timing analysis; EUV source optimization; lithography defect detection; dual-beam EUV efficiency.</p> <p>The post <a href="https://semiengineering.com/chip-industry-technical-paper-roundup-june-16/">Chip Industry Technical Paper Roundup: June 16</a> appeared first on <a href="htt...

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.

Palantir and NVIDIA Team Up to Operationalize AI — Turning Enterprise Data Into Dynamic Decision Intelligence

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.

Saudi Arabia and NVIDIA to Build AI Factories to Power Next Wave of Intelligence for the Age of Reasoning

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 &#38; 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 [&#8230;]</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&#8230; <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&#8230; <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&#8230; <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 Announces “Advancing AI 2026”

AMD Gives Consumers and Businesses More AI PC Options with Expanded Ryzen™ AI 400 Series Portfolio

AMD and Nutanix Announce Strategic Partnership to Advance an Open and Scalable Platform for Enterprise AI

Signoff Of Synthesis-Optimized Registers

<p>When is a complex chip design ready to be shipped to manufacturing?</p> <p>The post <a href="https://semiengineering.com/signoff-of-synthesis-optimized-registers/">Signoff Of Synthesis-Optimized Registers</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>

Designing Chips That Can Explain Themselves

<p>On-die monitors, localized analytics, and lifecycle data are giving architects new ways to close the gap between design intent and silicon behavior.</p> <p>The post <a href="https://semiengineering.com/designing-chips-that-can-explain-themselves/">Designing Chips That Can Explain Themselves</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineer...

Blog Review: June 17

<p>NVMe on-controller memory; SSN datapaths; Git-based chip workflows; low-light image enhancement; testing AI networks.</p> <p>The post <a href="https://semiengineering.com/blog-review-june-17-3/">Blog Review: June 17</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>

Wi-Fi Flies Higher As Edge AI Build-Out Takes Root

<p>Chip and system designers scramble to leverage existing and future standards as edge AI increases demand for faster data movement and greater reliability.</p> <p>The post <a href="https://semiengineering.com/wi-fi-flies-higher-as-edge-ai-build-out-takes-root/">Wi-Fi Flies Higher As Edge AI Build-Out Takes Root</a> appeared first on <a href="https://semiengineering.com">Se...

Research Bits: June 15

<p>NAND in space; integrated photonic functions on silicon; light-emitting organic transistor with memory.</p> <p>The post <a href="https://semiengineering.com/research-bits-june-15/">Research Bits: June 15</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>

Fault Injection Framework Targets RISC-V Security Weak Spots

<p>Researchers from Politecnico di Torino and CEA-List published a technical paper titled “InjectV: Modeling Fault Injection Attacks in RISC-V Simulation Environment.” Abstract &#8220;Fault Injection Attacks (FIAs) are a significant threat to hardware security, capable of compromising systems by inducing malicious faults in computation or storage. Evaluating resilience again...

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 -&nbsp;(May 12, 2026) ENKA and GE Vernova Inc (NYSE: GEV) today announced the start of commercial operations at the 852&nbsp;megawatts (MW) Kırklareli power plant in Kırklareli, about 20 miles from the Bulgarian border in Türkiye. The facility is the&nbsp;first HA-powered plant

Solar generation in CAISO surpassed natural gas in the first five months of 2026

In the first five months of 2026, utility-scale solar generation surpassed natural gas generation in CAISO. Solar electricity generation in the California Independent System Operator (CAISO) over the first five months of 2026 increased 21% compared with the same period in 2024, and natural gas generation decreased by 60%, data from our Hourly Electric Grid Monitor shows.

Largest wind farm in the United States slated to begin commercial operations

The SunZia Wind Project, the largest wind farm in the United States, is slated to begin commercial operations this month. The wind farm, located in New Mexico, has a total net summer generating capacity of 3,650 megawatts (MW) and is composed of 916 wind turbines. SunZia's capacity is more than three times larger than the next two largest wind farms, Alta Wind in Southern Ca...

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&nbsp;– 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,

GE Vernova deepens India commitment with 3.8 MW workhorse turbine launch, Powerica order, ALMM certification, and Pune manufacturing build-out

New Delhi, India&nbsp;(June 4, 2026) – GE Vernova Inc. (NYSE: GEV) announced today that it has signed an agreement with Powerica Limited to supply 28&nbsp;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

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...

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...

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 powers Africa’s industrialisation with integrated energy solutions

CAPE TOWN, South Africa (June 17, 2026) – In line with the Africa Energy Forum’s theme, ‘Building Africa’s industrialized Future,’ GE Vernova Inc. (NYSE: GEV) today showcased its comprehensive portfolio of technologies engineered to translate large-scale infrastructure ambitions into operational

GE Vernova to deliver pumped-storage technology for India’s 1.35 GW Upper Sileru hydropower plant

VADODARA, INDIA&nbsp;(May 4, 2026) –&nbsp;GE Vernova Inc.&nbsp;(NYSE: GEV) announced today that it has secured an order from Megha Engineering &amp; 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