Daily brief
May 5, 2026.
70 quantum research items collected on 2026-05-05; hardware, control, and industry signals routed.
Quantum
70 quantum research items collected on 2026-05-05; hardware, control, and industry signals routed.Hardware and Error Correction
While out-of-time-order correlators establish a causal light cone for operator spreading, they do not guarantee that the parameter sensitivity carried by the operator remains locally recoverable. We examine the distinction between operator spreading and metrological recoverability for a parameter encoded in a single site of an XX spin chain subjected to a $U(1)$-breaking tra...
Readout failures in superconducting qubits due to TLS-defects in tunnel junctions
Material defects give rise to parasitic two-level systems (TLS) which present a major source of decoherence in superconducting qubits. Here, we study a strongly coupled TLS that resides in the tunnel barrier of transmon qubit. We use multi-photon spectroscopy and TLS strain tuning to explore the rich spectrum of the interacting three-partite system consisting of TLS, qubit,...
Automated experimental design for high-probability entanglement generation
Entangled photons are widely used in quantum technologies. Many photonic experiments generate them with probabilistic photon-pair sources that can be modeled as squeeze operators. In practice, these sources are usually treated in the low-gain (perturbative) regime, keeping only the leading single-pair term and neglecting higher-order multi-pair emission events. In pursuit of...
Construction of Quantum Rank-Metric Codes Using Hermitian Orthogonality
Stacked quantum memory is an architecture in which multiple layers of qubits are stacked. Quantum rank-metric codes are effective for error correction in stacked quantum memories. However, the previously proposed quantum Gabidulin codes based on the CSS construction had a problem: due to algebraic constraints, the applicable memory layouts were strictly limited to square sha...
Sample-Based Quantum Diagonalization with Amplitude Amplification
Recently, sample-based quantum diagonalization (SQD) has emerged as a promising approach to compute ground and excited states of problem Hamiltonians.This method classically diagonalizes a Hamiltonian in a subspace that is spanned by samples obtained from a quantum computer. However, by its nature, SQD suffers from a fundamental sampling problem, as some basis states that ar...
Programmable non-Gaussian quantum light source with state and temporal-waveform tunability
A versatile quantum light source capable of programmably generating a variety of quantum light is a key enabler for photonic quantum technologies. In particular, independent control over both the output quantum state and its temporal waveform is essential for realizing diverse functionalities and enhancing processing performance. However, conventional sources of optical non-...
Permutation Routing on Ramanujan Hypergraphs with Applications to Neutral Atom Quantum Architectures
We consider the routing of neutral atoms on a reconfigurable lattice in terms of hypergraph transformations. We prove the routing number of a Ramanujan $(d,r)$-regular hypergraph on $N$ vertices satisfies $\mathrm{rt}(H) = Θ(\log N)$, where routing is via matchings in the clique expansion graph $G_{\mathrm{cl}}(H)$. Hypergraphs reframe the qubit routing problem by replacing...
Photon Number Coherence of a Quantum Dot-Cavity System Excited Using the SUPER Scheme
To fulfill the security requirements of quantum cryptography, photon number coherence (PNC) of single photon sources has recently become an important figure of merit. Quantum dots (QDs) embedded in photonic microcavities offer a mature source of single photons, of which many properties can be tuned by the use of different excitation protocols or parameters. We show that the...
Control and Quantum-AI Integration
Quantum Tilted Loss in Variational Optimization: Theory and Applications
Variational quantum algorithms (VQAs) are leading strategies for using near-term quantum devices, with a well-studied bottleneck being their trainability. Standard expectation-value objectives with expressive circuits frequently encounter barren plateaus in the optimization landscape during training. To address this challenge, we introduce the Quantum Tilted Loss (QTL), an o...
This study explores quantum and classical hybrid architectures for financial time-series fore casting, focusing on Quantum Long Short-Term Memory (QLSTM) networks and Quantum Reservoir Computing (QRC), using univariate and multivariate lag structures on real financial data. We assess how lag embeddings affect predictive accuracy and robustness. Data are en coded into quantum...
Constraint Preserving XY-Mixers under Trotterized Adiabatic Evolution
Constraint handling is a central challenge for quantum algorithms applied to combinatorial optimization. Standard penalty-based approaches increase problem size, distort energy landscapes, and often degrade performance. Constraint-preserving mixers, such as XY-mixers, restrict quantum evolution to feasible subspaces, but their implementation on gate-based hardware requires T...
As it becomes increasingly difficult to monolithically scale a quantum processor, distributed quantum computing (DQC) offers an alternative by distributing qubits across multiple smaller interconnected quantum processor modules. In such an architecture, the challenge of quantum circuit compilation shifts from placing and routing qubits within one module to placing, routing a...
Entanglement is Half the Story: Post-Selection vs. Partial Traces
While tensor networks have their traditional application in simulating quantum systems, in the recent decade they have gathered interest as machine learning models. We combine the experience from both fields and derive how quantum constraints placed on a tensor network manifest a change in capabilities. To this end, we employ a method of inference of classical tensor network...
Quantum State Engineering Under Multiple Expectation-Value Constraints
This work introduces a formulation of quantum state engineering termed expectation-value targeting: the task of preparing a pure state whose expectation values with respect to a prescribed set of observables attain specified targets. This formulation subsumes standard ground-state preparation problems in quantum chemistry and many-body physics, while extending beyond variati...
Geometric Quantum Physics Informed Neural Network
Quantum physics-informed neural networks (QPINNs) have recently emerged as a promising framework for the solution of partial differential equations (PDEs), with several studies reporting improved convergence and accuracy relative to classical physics-informed neural networks (PINNs) at reduced training cost. Motivated by these advances, we introduce geometric quantum physics...
Qruise and Quantum Machines Automate 21-Qubit QPU Bring-Up at IQCC
<p>Qruise has completed a proof-of-concept integration of its QruiseOS automated bring-up software at the Israeli Quantum Computing Center (IQCC). Utilizing Quantum Machines’ OPX1000 control system and the Quantum Orchestration Platform (QOP), the deployment successfully automated the calibration and characterization of a 21-qubit QuantWare Contralto QPU. The integration red...
Commercial and Industry Context
We propose a physically explicit sensing application of a time-reversed Young (TRY) interferometer: simultaneous monitoring of beam tilt and focus drift with a fixed detector. The task is relevant to compact optical relays, free-space links, fiber-coupling stages, and micro-optical alignment modules, where continuous tracking of pointing and focus is needed but downstream wa...
Quantum eMotion Launches eShield-Q for Runtime Cryptographic Protection
<p>Quantum eMotion Corp. (QeM) has announced the launch of eShield-Q, a cybersecurity platform designed to protect cryptographic operations during application runtime. As AI-driven threats and quantum computing risks evolve, eShield-Q addresses a critical vulnerability: the exposure of encryption keys and secrets while they are actively being used in memory. The platform is...
Maryland Budget Secures Millions to Consolidate “Capital of Quantum” Status
<p>Governor Wes Moore has signed Maryland's Fiscal Year 2027 state budget, directing tens of millions of dollars toward the state’s Capital of Quantum initiative. The enacted budget aims to transition the regional economy away from its traditional reliance on "eds, feds, and meds" by doubling down on quantum infrastructure and commercialization. Since the initiative’s launch...
Quantum Science Center Researchers Demonstrate First Digital Quantum Simulation of Spin Transport
<p>Researchers from the Quantum Science Center (QSC), led by teams at Purdue University, Oak Ridge National Laboratory (ORNL), and IBM, have achieved the first digital quantum simulation of spin transport in one-dimensional Heisenberg chains. Published in Physical Review Letters, the study utilized a 40-qubit simulation on the IBM Heron processor to observe how spin currents...
IBM and Dallara Partner to Scale AI and Quantum Design for Motorsports
<p>IBM and the Dallara Group have announced a strategic collaboration to integrate physics-based AI foundation models and quantum computing into high-performance vehicle design. By combining Dallara’s proprietary aerodynamic data with IBM’s computational research, the partnership aims to accelerate the optimization of racing chassis for series including IndyCar, Formula 2, a...
QuantumDiamonds Deploys First Asian Quantum Sensing System QD m.1 at Taiwan’s iST
<p>QuantumDiamonds GmbH, a Munich-based specialist in quantum sensing for semiconductor testing, has successfully deployed its QDm.1 system at the Integrated Service Technology (iST) facility in Hsinchu, Taiwan. This installation represents the company’s first commercial footprint in Asia and follows its recent expansion into the United States. The QDm.1 is now operational w...
CQE Releases Unified Regional Strategy to Scale Midwest Quantum Workforce
<p>The Chicago Quantum Exchange (CQE) has released a landmark report, "Advancing Together: A Unified Strategy for Scaling Midwest Quantum Talent," providing a roadmap for the Illinois-Wisconsin-Indiana region to meet a projected demand of up to 191,000 quantum jobs by 2035. Backed by the National Science Foundation (NSF), the strategy aims to unify the "Quantum Prairie"—a [....
eleQtron Secures €57 Million in Series A Funding Round
<a href="https://thequantuminsider.com/2026/05/05/eleqtron-secures-e57-million-in-series-a-funding-round/" rel="nofollow" title="eleQtron Secures €57 Million in Series A Funding Round"><img alt="eleqtron" class="webfeedsFeaturedVisual wp-post-image" height="662" src="https://thequantuminsider.com/wp-content/uploads/2026/05/Screenshot-2026-05-04-at-9.50.38-AM.png" style="disp...
Unrouted Items
Note on Strong Quantum Markov Properties
Quantum many-body Gibbs states satisfy an approximate local Markov property~\cite{chen2025GibbsMarkov}: local noise can be approximately recovered by a quasi-local recovery map, and the conditional mutual information decays for the corresponding tripartition. Recent work~\cite{bergamaschi2025structural} extends this property to approximate stationary states (metastable state...
A measure for genuine tripartite entanglement
We introduce a single real-valued functional $I(\vec{n}_1,\vec{n}_2)$, built from four three-qubit correlation expectation values, that turns the Greenberger--Horne--Zeilinger (GHZ) algebraic paradox into a \emph{quantitative} witness of genuine tripartite entanglement. We prove that for every three-qubit state $ρ$ and every pair of measurement directions $|I(\vec{n}_1,\vec{...
Precision gravimetry via harnessing interaction-induced resonances in optical lattices
By confining a Bose-Einstein condensate in a vertical lattice subjected to a gravitational potential, we analyze the quantum Fisher information to determine its scaling with respect to time, system size and particle number. Our results reveal that in the localized phase, on-site interactions $U$ amplify the quantum Fisher information by a factor with respect to resonance con...
Structures of Identical Particle Systems : Efficient Computation of Many-Body Density of States
We present a method for approximating the many-body density of states of a system of quantum identical particles, with a reduction of the computational cost by a combinatorial factor compared to the full calculation. This is carried out by considering an isolated quantum system of identical particles, and studying its non-interacting many-body spectrum through the use of a n...
Opportunities and challenges in scaling quantum error detection on hardware
Quantum error detection can produce unbiased expectation values that exponentially converge to noiseless results as the code distance is increased. Despite this, its performance as an error mitigation technique is relatively understudied on quantum hardware because of its two main drawbacks: (i) the number of samples increases exponentially in the circuit depth/noise level,...
Precision hyperfine spectroscopy of an individual nuclear-spin-9/2
Single-spin magnetic resonance spectroscopy promises to yield structural and chemical information at the level of individual atoms or molecules, in a non-invasive way. Here, we use an Er3+ paramagnetic center in a CaWO4 crystal, detected by microwave photon counting at 10 mK, as a nanoscale magnetic sensor to measure the NMR spectrum of a proximal individual nuclear-spin-9/2...
The Complexity of Stoquastic Sparse Hamiltonians
Despite having an unnatural definition, $\mathsf{StoqMA}$ plays a central role in Hamiltonian complexity, e.g., in the classification theorem of the complexity of Hamiltonians by Cubitt and Montanaro (SICOMP 2016). Moreover, it lies between the two randomized extensions of $\mathsf{NP}$, $\mathsf{MA}$ and $\mathsf{AM}$. Therefore, understanding the exact power of $\mathsf{St...
Entanglement cost in non-local quantum computation
This is a book-length treatment of the subject of non-local quantum computation (NLQC). NLQC is a method for implementing quantum operations that interact two systems without directly bringing the systems together. Instead, a single round of communication and shared entanglement is used. NLQC has appeared in the context of quantum cryptography, computational complexity, comm...
Measuring Accuracy and Energy-to-Solution of Quantum Fine-Tuning of Foundational AI Models
We present an experimental study of energy-to-solution (ETS) of hybrid quantum-classical applications, enabled by direct instrumentation of power consumption of a Forte Enterprise trapped-ion quantum processor. We apply this methodology to a hybrid quantum-classical pipeline for quantum fine-tuning of foundational AI models, and validate the approach end-to-end on quantum ha...
Albertian Channel Memory in Black-Hole Evaporation
The AMPS paradox assumes a globally associative tensor-product stage for the early radiation, the exterior Hawking mode, and the interior partner. We study a retained attractor sector of octonionic magical supergravity whose horizon symbols form the Albert algebra J3(O). This induces an Albertian algebraic-quantum description: states are positive normalized functionals, even...
Axion electron-electron interaction in the RaOH molecule to search for Dark matter
Axions are promising candidates for the role of Dark matter particles. In this paper, the question of the suitability of the RaOH molecule for the experimental detection of electron-electron interactions through the exchange of axions is studied. To take into account an impact of the rotations and vibrations a computation must be performed for a large number of molecular con...
The free energy limit of the SYK model at high temperature
The Sachdev-Ye-Kitaev (SYK) model is a disordered quantum mean-field model studied in condensed matter physics and the holographic theory of black holes. Its structural properties can be derived heuristically using a combination of the replica method and path integration techniques. Analyzing it mathematically rigorously, however, turned out to be notoriously difficult, even...
We demonstrate a delay-programmable two-color femtosecond source based on a chirped-seed noncollinear optical parametric amplifier. Introducing controlled dispersion into the seed enables spectral selection through pump-seed delay, allowing flexible generation of two independently tunable pulse components with adjustable relative timing at high repetition rate. The temporal...
We consider the one-dimensional Dirac equation with the most general relativistic contact interaction supported on two points symmetrically located with respect to the origin. In order to determine the shape of the interaction, we use a distributional method, which in the present case is equivalent to the standard method of defining contact interactions by self-adjoint exten...
Distributed Quantum Circuit Optimisation: Evaluating Global and Local encodings
As distributed quantum architectures begin to emerge, understanding the interaction between quantum circuit optimisation and circuit partitioning becomes increasingly important. In this work, we study how circuit optimisation influences distributed quantum workloads under system-level trade-offs. We compare three compilation strategies (global optimisation, local optimisatio...
Phase-space measurements and decoherence for angular momentum systems
The monitoring of the three independent components of the angular momentum (or spin) of a quantum system by its environment that does not isolate any preferred orientation is modelled in two different ways. One describes the dynamics by the Lindblad equation generated by three independent angular momentum operators. The other uses iterated measurements of the ``phase-space''...
Temporal State Tomography via Quantum Snapshotting the Temporal Quasiprobabilities
Quantum tomography is a cornerstone of quantum information science, enabling the reconstruction of states and channels from experimental data. Here we introduce a new paradigm, temporal state tomography (TST), for reconstructing quantum processes across multiple times. Our approach is based on temporal quasiprobability distributions (TQDs), which, in the informationally comp...
Thermodynamic completeness in quantum and classical Markovian dynamics
We develop a path-space action formulation for quantum and classical Markovian thermodynamics that addresses a reconstruction problem: which thermodynamic observables can be inferred from state trajectories alone, and which require additional current or measurement record? The formulation treats the state trajectory and the thermodynamic record as distinct components of a Ma...
The present work experimentally demonstrates the fabrication of CVD grown monolayer MoS2 ultra thin quantum well based double barrier resonant tunneling device (RTD) architecture well compatible with conventional CMOS fabrication technology. The strongly quantized electronic states from multiple valleys in the momentum space in such ultra 2D sheet along the c-axis sandwiched...
Comment on `On computing quantum waves exactly from classical action'
A recent article by Lohmiller \& Slotine (Proc.\ R.\ Soc.\ A \textbf{482}: 20250413) claims that the Schrödinger equation can be solved exactly using only classical least action and classical fluid density, asserting that this formulation avoids semiclassical approximations. We show that their mathematical derivation contains a foundational error. By neglecting the spatial d...
S-CAD: Selective Classical Advantage Distillation for Quantum Conference Key Agreement
Quantum conference key agreement (QCKA) protocols utilize GHZ states to establish shared group keys between multiple parties. While previous work has shown that standard Classical Advantage Distillation (CAD) protocols can sometimes benefit QCKA performance, it was unknown if past results were asymptotically tight. In this work, we design a new CAD protocol, "Selective Class...
Entanglement signature of fully and partially dimerized phases in frustrated spin chains
The von Neumann entanglement entropy of exact valence-bond ground states is studied in two frustrated one-dimensional spin chains: the spin-1/2 Majumdar-Ghosh (MG) model and the spin-3/2 J1-J2-J3 chain in its fully dimerized (FD) and partially dimerized (PD) phases. Using matrix-product-state representations, the entropy is computed as a function of system size for three com...
Entanglement Generation During Distribution via Spatial Superposition Entanglement Generation
The exploitation of quantum coherence at the level of propagation represents a powerful paradigm for quantum communication networks. In this work, we show that the coherent superposition of spatially distinct communication links enables entanglement generation inherently during distribution. Specifically, separable quantum states can be deterministically transformed into ent...
Direct Time-Domain Observation of l-Doubling via Centrifugal-Distortion Pre-compensation
We demonstrate direct time-domain observation of l-doubling contributions in molecular rotational dynamics using shaped femtosecond laser pulses. By imposing a tailored spectral phase on the excitation pulse, we pre-compensate centrifugal distortion, which otherwise leads to temporally broadened, multi-cycle revival structures that obscure fine rotational features. A cubic s...
A Critical Assessment of the Sample-Based Quantum Diagonalization for Heisenberg and Hubbard Models
Sample-based quantum diagonalization (SQD) constructs subspaces from computational-basis configurations obtained via measurements of a quantum state, with the goal of approximating low-energy eigenspaces of many-body Hamiltonians. The effectiveness of this approach relies on the assumption that physically relevant states admit a compact representation in the computational ba...
Quantum scars from holographic boson stars
Quantum many-body scars are atypical nonthermal states embedded in the chaotic spectrum that evade conventional ergodicity. We show that asymptotically AdS mini-boson stars provide a holographic realization of scar-like states. Their spectrum exhibits random-matrix signatures of chaos while supporting embedded integrable spectral branches. The full holographic system, includ...
Perturbative Analysis of Dark State Dynamics in Weakly Anharmonic Photon-Emitter Pairs
Dark states are excited quantum states that decouple from their environment in such a way that they do not emit or absorb external photons. These states are found in a variety of different open quantum systems and can be derived from the collective interactions of individual quantum emitters interacting with one another. One of the simplest model where these states exist is...
Optical clocks require an ultra-stable laser to probe and precisely measure the frequency of the narrow-linewidth clock transition. We introduce a portable ultraviolet (UV) laser system for use in an aluminum quantum logic clock, demonstrating a fractional frequency instability of approximately $\mathrm{mod}\,σ_\mathrm{y} = 2 \times 10^{-16}$. The system is based on an ultra...
Generation via Classical Noise Reuploading
We propose a novel quantum generative model paradigm that fundamentally avoids the issue of extremely small post-selection probabilities present in previous models. Unlike existing methods that require multi-step noise addition and denoising, this paradigm enables direct single-step generation of quantum data, significantly improving generation efficiency while substantially...
Field configurations for field-free RF trap networks
We develop a constructive framework for designing radio-frequency (RF) trap networks from planar data and show that non-smooth field-free guide lines are possible in such networks. Given analytic Cauchy data on a symmetry plane, namely the potential and its normal derivative, Laplace's equation determines a local three-dimensional continuation. The odd subclass of this harmo...
Generation of heat pulses in mesoscopic conductors using light fields
We propose to generate heat pulses in mesoscopic conductors using light fields. In contrast to single-electron excitations such as levitons, which are created by accurate voltage drives, our approach relies on modulating the temperature of an electronic reservoir. To this end, we show that the interactions with a light field can induce a controllable time-dependent temperatu...
This work demonstrates that the Deutsch algorithm can be effectively modelled using a two-level harmonic oscillator within the second quantization formalism. By adopting this framework, evolution operators are derived. We present a projection evolution model that accurately characterizes the physical state transformation within quantum gates. This approach provides a systema...
Perfect state transfer in Grover walks on dihedral Cayley graphs
The paper investigates perfect state transfer (PST) in Grover walks on Cayley graphs over the dihedral group $D_n$. The Grover walk is a discrete-time quantum walk widely studied in quantum information processing. A Cayley graph $\operatorname{Cay}(Γ,S)$ is called normal if $S$ is the union of some conjugacy classes of the group $Γ$; otherwise, it is called non-normal. Most...
Validity and Limits of Low Order Hybridization Expansion Approaches for Multi-Orbital Systems
Low-order hybridization expansion methods such as the non-crossing approximation (NCA) and the one-crossing approximation (OCA) are widely used impurity solvers in the study of strongly correlated systems, yet their accuracy in genuine multi-orbital settings remains poorly understood. Using the decoupled orbital limit as a controlled reference point, we derive analytic resul...
Podcast with Michaela Eichinger, Product Solutions Physicist at Quantum Machines
<p>Yuval Boger interviews Michaela Eichinger, a product solutions physicist at Quantum Machines and the author of a widely read quantum computing newsletter. They discuss her transition from academia to industry, her fascination with systems-level views of the quantum stack, and the role of communication in building the quantum ecosystem. The conversation covers the state of...
TreQ Deploys Open-Architecture Quantum Computing Testbed in Oxfordshire, UK
<p>TreQ has designed, built, and brought online its Open-Architecture Quantum (OAQ) Testbed, a fully operational multi-vendor system now in active use in Oxfordshire, UK. Part of Innovate UK’s Quantum Mission Pilot, the system utilizes a modular design that separates the processor, control hardware, and software layers through standardized interfaces. This "software-reconfig...
Magnon Research Advance could Pave the Way for Mini Quantum Computers
<a href="https://thequantuminsider.com/2026/05/04/magnon-research-advance-could-pave-the-way-for-mini-quantum-computers/" rel="nofollow" title="Magnon Research Advance could Pave the Way for Mini Quantum Computers"><img alt="" class="webfeedsFeaturedVisual wp-post-image" height="662" src="https://thequantuminsider.com/wp-content/uploads/2026/05/Screenshot-2026-05-04-at-12.05...
ParityQC Demonstrates YZ-Plane Measurement-Based Quantum Computation
<a href="https://thequantuminsider.com/2026/05/04/yz-plane-mbqc-parityqc-architecture/" rel="nofollow" title="ParityQC Demonstrates YZ-Plane Measurement-Based Quantum Computation"><img alt="ParityQC" class="webfeedsFeaturedVisual wp-post-image" height="761" src="https://thequantuminsider.com/wp-content/uploads/2026/05/2026-05-04_21-09.png" style="display: block; margin: auto...
AI, Quantum, and Beyond: How IMDA Is Positioning Singapore for the Next Wave of Innovation
<a href="https://thequantuminsider.com/2026/05/04/ai-quantum-and-beyond-how-imda-is-positioning-singapore-for-the-next-wave-of-innovation/" rel="nofollow" title="AI, Quantum, and Beyond: How IMDA Is Positioning Singapore for the Next Wave of Innovation"><img alt="" class="webfeedsFeaturedVisual wp-post-image" height="900" src="https://thequantuminsider.com/wp-content/uploads...
Harvard Researchers: Quantum Computing Advancing Faster Than Expected
<a href="https://thequantuminsider.com/2026/05/04/harvard-researchers-quantum-computing-advancing-faster-than-expected/" rel="nofollow" title="Harvard Researchers: Quantum Computing Advancing Faster Than Expected"><img alt="digital, artificial technology, brain, futuristic, future, computing, network, quantum computing, physics, quantum physics, theory of relativity, matter,...
Chips
43 chip stack items collected on 2026-05-05; memory, packaging, compute, and foundry signals routed.Compute Accelerators
NVIDIA RTX PRO Servers With Blackwell Coming to World’s Most Popular Enterprise Systems
NVIDIA today announced that the NVIDIA RTX PRO™ 6000 Blackwell Server Edition GPU is coming to the world’s most popular enterprise servers, speeding the shift from traditional CPU systems to accelerated computing platforms.
NVIDIA Builds World’s First Industrial AI Cloud to Advance European Manufacturing
NVIDIA today announced it is building the world’s first industrial AI cloud for European manufacturers. This Germany-based AI factory will feature 10,000 GPUs, including through NVIDIA DGX™ B200 systems and NVIDIA RTX PRO™ Servers, and enable Europe’s industrial leaders to accelerate every manufacturing application, from design, engineering and simulation to factory digital...
NVIDIA DGX Cloud Lepton Connects Europe’s Developers to Global NVIDIA Compute Ecosystem
NVIDIA today announced the expansion of NVIDIA DGX Cloud Lepton™ — an AI platform featuring a global compute marketplace that connects developers building agentic and physical AI applications — with GPUs now available from a growing network of cloud providers.
Europe Builds AI Infrastructure With NVIDIA to Fuel Region’s Next Industrial Transformation
NVIDIA today announced it is working with European nations, and technology and industry leaders, to build NVIDIA Blackwell AI infrastructure that will strengthen digital sovereignty, support economic growth and position the continent as a leader in the AI industrial revolution.
NVIDIA Announces DGX Cloud Lepton to Connect Developers to NVIDIA’s Global Compute Ecosystem
NVIDIA today announced NVIDIA DGX Cloud Lepton™ — an AI platform with a compute marketplace that connects the world’s developers building agentic and physical AI applications with tens of thousands of GPUs, available from a global network of cloud providers.
Foxconn Builds AI Factory in Partnership With Taiwan and NVIDIA
NVIDIA and Foxconn Hon Hai Technology Group today announced they are deepening their longstanding partnership and are working with the Taiwan government to build an AI factory supercomputer that will deliver state-of-the-art NVIDIA Blackwell infrastructure to researchers, startups and industries.
NVIDIA Blackwell GeForce RTX Arrives for Every Gamer, Starting at $299
NVIDIA today announced the NVIDIA GeForce RTX™ 5060 family of GPUs, including two graphics cards that deliver neural rendering and NVIDIA Blackwell architecture innovations for every gamer — starting at just $299.
Oracle and NVIDIA Collaborate to Help Enterprises Accelerate Agentic AI Inference
Oracle and NVIDIA today announced a first-of-its-kind integration between NVIDIA accelerated computing and inference software with Oracle’s AI infrastructure, and generative AI services, to help organizations globally speed creation of agentic AI applications.
Memory and Advanced Packaging
Chip Industry Technical Paper Roundup: May 5
<p>3D-stacked near-memory LLM decoding; In-SoIC ESD protection for chiplets; thermal management for adv. packaging; quantum circuits on chiplets; agentic AI for formal verification; multilayer nanostructure characterization; liquid cooling for adv. packages; NV photonic coupler arrays.</p> <p>The post <a href="https://semiengineering.com/chip-industry-technical-paper-roundup...
Custom Silicon and Networking
<p>Google's TPUs now for sale; 2/3nm capacity crunch; IC tool sales to China stopped; memory shortage widens in 2027; mega-earnings; Arm's agentic toolkit; Intel seeds universities; KAIST's liquid cooling for advanced packages; MIT-IBM tool for estimating power; V2X collaboration.</p> <p>The post <a href="https://semiengineering.com/chip-industry-week-in-review-136/">Chip In...
Foundry, Tools, and Capex
Transforming DRC Closure At Advanced Nodes
<p>Turning billions of violations into actionable insights.</p> <p>The post <a href="https://semiengineering.com/transforming-drc-closure-at-advanced-nodes/">Transforming DRC Closure At Advanced Nodes</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Foundry Capacity Is Limiting Who Competes At Leading Edge Nodes
<p>But the inability to utilize leading-edge process nodes has created opportunities for small and midsize chip developers in multi-die design, along with some sophisticated architectural design tradeoffs.</p> <p>The post <a href="https://semiengineering.com/foundries-capacity-is-limiting-who-competes-at-leading-edge-nodes/">Foundry Capacity Is Limiting Who Competes At Leadi...
Unrouted Items
NVIDIA and Global Telecom Leaders Commit to Build 6G on Open and Secure AI-Native Platforms
NVIDIA today announced a commitment — together with Booz Allen, BT Group, Cisco, Deutsche Telekom, Ericsson, MITRE, Nokia, OCUDU Ecosystem Foundation, ODC, SK Telecom, SoftBank Corp. and T-Mobile — to build the world’s next generation of wireless networks on AI-native, open, secure and trustworthy platforms.
NVIDIA today announced a collaboration with Palantir Technologies Inc. to build a first-of-its-kind integrated technology stack for operational AI — including analytics capabilities, reference workflows, automation features and customizable, specialized AI agents — to accelerate and optimize complex enterprise and government systems.
NVIDIA Partners With Novo Nordisk and DCAI to Advance Drug Discovery
NVIDIA today announced a collaboration with Novo Nordisk to accelerate drug discovery efforts through innovative AI use cases. The work supports Novo Nordisk’s agreement with DCAI to use the Gefion sovereign AI supercomputer.
Siemens and NVIDIA Expand Partnership to Accelerate AI Capabilities in Manufacturing
Siemens and NVIDIA announced today an expansion of their partnership to accelerate the next era of industrial AI and digitalization and enable the factory of the future.
NVIDIA Partners With Europe Model Builders and Cloud Providers to Accelerate Region’s Leap Into AI
NVIDIA GTC Paris at VivaTech—NVIDIA today announced that it is teaming with model builders and cloud providers across Europe and the Middle East to optimize sovereign large language models...
NVIDIA Powers Europe’s Fastest Supercomputer
NVIDIA today announced that the JUPITER supercomputer, powered by the NVIDIA Grace Hopper™ platform, is the fastest in Europe — delivering a more than 2x speedup for high-performance computing and AI workloads compared with the next-fastest system.
NVIDIA RTX PRO Servers Speed Trillion-Dollar Enterprise IT Industry Transition to AI Factories
NVIDIA today announced it is speeding the trillion-dollar IT infrastructure transition to enterprise AI factories with NVIDIA RTX PRO™ Servers and a new NVIDIA Enterprise AI Factory validated design for building data centers that deliver universal acceleration for AI, design, engineering and business applications.
NVIDIA Launches AI-First DGX Personal Computing Systems With Global Computer Makers
NVIDIA today announced that Taiwan’s leading system manufacturers are set to build NVIDIA DGX Spark and DGX Station™ systems.
NVIDIA and the Kingdom of Saudi Arabia (KSA) today announced partnerships to transform the country into a global powerhouse in AI, cloud and enterprise computing, digital twins and robotics.
HUMAIN and NVIDIA Announce Strategic Partnership to Build AI Factories of the Future in Saudi Arabia
HUMAIN, the new full AI value chain subsidiary of Saudi Arabia’s Public Investment Fund, today announced a landmark strategic partnership with NVIDIA, the world leader in AI computing infrastructure, to drive the next wave of artificial intelligence development.
NVIDIA today announced a collaboration with GE HealthCare to advance innovation in autonomous imaging, focused on developing autonomous X-ray technologies and ultrasound applications.
NVIDIA, Alphabet and Google Collaborate on the Future of Agentic and Physical AI
Joint Initiatives Span Infrastructure and Open Model Optimizations, Offer Major Strides in Robotics, Drug Discovery and MoreSAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) -- Building on ...
NVIDIA Introduces HGX-2, Fusing HPC and AI Computing into Unified Architecture
GTC Taiwan—NVIDIA today introduced NVIDIA HGX-2, the first unified computing platform for both artificial intelligence and high performance computing.
How Architecture Firm WBCM Is Moving to 100% Virtualization
<p>Small IT teams often have to play big to keep up with their firm’s global operations. That’s the case at Whitney Bailey Cox & Magnani, LLC (WBCM), an architecture, engineering and construction services group that designs and builds projects for the U.S. Army Corps of Engineers, the NFL’s Baltimore Ravens, Lockheed Martin, the Ritz-Carlton and […]</p> <p>The post...
Rendering Made Easy: Iray Server Makes Light Work of Complex Designs
<p>Ever wish you could harness the power of an entire network of workstations to make light work of your most complex designs? Now you can, with Iray Server, our distributed rendering software. Available for a free 90-day trial starting today, Iray Server coordinates a network of machines as a “cluster” to speed the creation of… <a href="http://blogs.nvidia.com/blog/20...
More Users, Better Performance: NVIDIA GRID Boosts Blast Extreme in VMware Horizon
<p>What IT department wouldn’t want to be able to do more with their current infrastructure? With NVIDIA GRID, they can. NVIDIA GRID acceleration of Blast Extreme — a new protocol for optimizing the mobile cloud — is now supported in VMware Horizon 7. What’s that mean for IT managers? Reduced latency. Improved performance. And up… <a href="http://blogs.nvidia.com/blog/...
How Virtual Reality Is Making the Leap into Everyday Life
<p>Headlines about virtual reality often focus on how it’s upending the world of gaming. But VR is also revolutionizing fields across everyday life — areas like medicine, architecture, education, product design and retailing. A great example is Audi’s new virtual showroom where you can explore each of their models in vivid detail through VR. The German… <a href="http:/...
AMD Gives Consumers and Businesses More AI PC Options with Expanded Ryzen™ AI 400 Series Portfolio
AMD and TCS to bring state-of-the-art ‘Helios’ rack-scale AI architecture to India
TCS and AMD Announce Strategic Collaboration to Drive AI Adoption at Scale
<p>AI power prediction; large-area FPCBs; graphene vibrations.</p> <p>The post <a href="https://semiengineering.com/research-bits-may-5/">Research Bits: May 5</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Designing Chips In The Context Of Rapidly Evolving AI
<p>Long‑running agents, tool-calling LLMs, and multimodal chaos are rewriting edge compute rules, and making chip design more challenging.</p> <p>The post <a href="https://semiengineering.com/designing-chips-in-the-context-of-rapidly-evolving-ai/">Designing Chips In The Context Of Rapidly Evolving AI</a> appeared first on <a href="https://semiengineering.com">Semiconductor E...
Creating Agentic EDA Methodologies
<p>Current approaches involve multiple tools, vendors, designs, data formats, and abstractions. Can agents really use them all?</p> <p>The post <a href="https://semiengineering.com/creating-agentic-eda-methodologies/">Creating Agentic EDA Methodologies</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Power
19 power layer items collected on 2026-05-05; data center load, grid, generation, and cooling signals routed.Data Center Power Demand
Small modular reactors and microreactors under development in the United States
Electric utilities in the United States currently operate about 98 gigawatts (GW) of nuclear generating capacity, but very little nuclear capacity has been built in the last few decades. High capital costs and lengthy licensing and approval processes have limited the expansion of nuclear power. However, several companies are developing new small modular reactor (SMR) designs...
U.S. coal-fired generating capacity retired in 2025 was the least in 15 years
During 2025, the U.S. electric power sector retired 2.6 gigawatts (GW) of coal-fired generating capacity at four power plants, the least since 2010. At the beginning of 2025, coal plant operators had planned to retire 8.5 GW of capacity; however, 4.8 GW of planned retirements were delayed to a future year, and the operators of two coal plants (1.1 GW) cancelled plans to reti...
Rooftop solar photovoltaic systems account for 20% of Puerto Rico's capacity mix
Rooftop solar generating capacity in Puerto Rico totaled 1,456 megawatts (MW) at the end of 2025, 20% of the overall capacity mix. Rooftop solar capacity has increased faster than other sources over the past decade. Between 2016 and 2025 rooftop solar installations accounted for 81% of the new generating capacity in Puerto Rico, according to data from our Electric Power Mont...
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
Unrouted Items
GE Vernova to deliver pumped-storage technology for India’s 1.35 GW Upper Sileru hydropower plant
VADODARA, INDIA (May 4, 2026) – GE Vernova Inc. (NYSE: GEV) announced today that it has secured an order from Megha Engineering & Infrastructures Limited (MEIL) to deliver nine 150 MW pumped-storage units for the 1.35 GW Upper Sileru hydropower plant, located in the state of
GE Vernova expands manufacturing capacity in Vietnam to support growing global electrification needs
Hai Phong, Vietnam | March 10, 2026 – GE Vernova (NYSE: GEV) today announced an investment of approximately $200 million to expand manufacturing capacity within its Electrification segment by establishing a new facility in Hai Phong, Vietnam. GE Vernova’s Electrification segment provides
HANOI, Vietnam (March 10, 2026) – GE Vernova Inc. (NYSE: GEV) today hosted the inaugural Energy of Change Summit in Hanoi, bringing together over 400 senior representatives from government, national utilities, suppliers, and energy ecosystem stakeholders across Vietnam and Asia. Hosted by Scott
WILMINGTON, North Carolina (March 10, 2026) – Global Nuclear Fuel (GNF, a GE Vernova-led alliance with Hitachi, Ltd. and affiliate of GE Vernova Hitachi Nuclear Energy) today announced it has been awarded a contract by Entergy to continue to fuel its Grand Gulf and River Bend Station nuclear power
GE Vernova expands manufacturing capacity in Italy to support growing global electrification demand
SESTO SAN GIOVANNI, Italy (March 3, 2026) - GE Vernova Inc. (NYSE: GEV) today announced approximately $30 million investment in the expansion of its electrification manufacturing facility in Sesto San Giovanni, Italy, to support rising global demand for electrification infrastructure.The
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