Daily brief
August 3, 2026.
70 quantum research items collected on 2026-08-03; hardware, control, and industry signals routed.
Quantum
70 quantum research items collected on 2026-08-03; hardware, control, and industry signals routed.Hardware and Error Correction
Release-free phononic crystal with strong microwave coupling
Phonons hold promise for storing and transferring quantum information, including in mechanically-mediated quantum interconnects between superconducting qubits and light. Phononic crystal cavities confine gigahertz sound to micron-scale volumes well matched to near-infrared light. So far, these devices have typically been suspended to suppress phononic radiation loss into the...
A key enabling feature of future quantum networks is interoperability between platforms that operate at different wavelengths and with different qubit encodings. We demonstrate an interface that converts atom-photon entanglement from polarization encoding at an atomic wavelength to time-bin encoding in the telecom C-band. Atom-entangled photons at 854 nm are generated from a...
Qubit Loss Inference with Stabilizer Codes without Leakage Detection Units
Qubit loss occurs when the physical carrier of a qubit leaves the computational system without directly revealing the event's location. Such errors are a major obstacle to fault-tolerant quantum computation on platforms including photonic, neutral-atom, and trapped-ion systems. Loss locations are commonly identified using additional hardware operations such as leakage-detect...
Erasure surface code circuit without mid-circuit erasure checks
Quantum error correction (QEC) codes can correct twice as many erasure errors as Pauli errors. Because of this scaling advantage, there is significant interest in developing qubits whose dominant error channel can be converted into erasures via mid-circuit erasure checks. However, such erasure checks come with hardware overhead in practice. End-of-the-line three-state readou...
The photonic lantern is an all-photonic wavefront sensor native to single-mode-fibre-fed instruments, but its performance is almost always quoted through a specific reconstruction algorithm, obscuring how much wavefront information the device itself encodes. We develop, from first principles, the Fisher-information and Cramer-Rao theory of the photonic-lantern wavefront sens...
Towards the Characterization of Logical Errors in Distributed Lattice Surgery
Distributed quantum computing offers a scalable alternative to monolithic quantum processors by networking smaller quantum modules through shared entangled pairs. A central challenge in this setting is that inter-module quantum operations are typically noisier than intra-module local gates, which introduces additional noise into the system. In this work, we analyze distribut...
Origins of microwave losses in superconducting circuits made with silicon-on-insulator substrates
Silicon-on-insulator technology is widely used to fabricate silicon based devices, from advanced transistors to photonic circuits or nanomechanical systems. Integrating low loss superconducting quantum circuits with silicon-on-insulator substrates enables to couple the advantages offered by the mature silicon technology to the exquisite sensitivity of superconducting circuit...
Numerical Optimization of Two-Qubit Gates in Silicon Flip-Flop Qubit Arrays under Electrical Control
Silicon-based donor flip-flop qubits offer a promising path toward scalable, fault-tolerant quantum computing by combining the long coherence times of nuclear spins with fast, fully electrical control and long-range dipole-dipole coupling between qubits. However, realizing high-fidelity entangling operations in this platform remains challenging. The entangling interaction is...
Control and Quantum-AI Integration
Quantum computing-based solver for interacting power grids
The proliferation of power electronics in multi-terminal transmission grids has increasingly led to harmonic distortions and dynamic instabilities. While Resonance Mode Analysis (RMA) provides deep insights into these system resonances, evaluating the critical modes of large-scale grids presents a severe computational bottleneck. Classical iterative techniques must continuou...
A Variational Framework for Time-Dependent Quantum Systems with Applications to Floquet Hamiltonians
We introduce a variational framework for approximating the time-evolution operator $\hat{U}(t)$ within a physically motivated operator manifold, reformulating quantum dynamics as a tractable problem in operator space using stationary action principle. For periodically driven systems, the resulting approximate evolution operator directly yields an effective Floquet Hamiltonia...
Transpiler Autotuning with Predictive Models for Quantum Circuit Optimization
Quantum software engineering is an emerging research field focusing on efficiently embedding the quantum programming paradigm into existing software ecosystems. A key aspect of this field is the realization of quantum algorithms using gate-based programming and the subsequent low-level optimization of the resulting quantum circuits, a process that is commonly performed by so...
InferQ: A Database-Oriented Benchmark for Quantum Circuits Simulation
Recent work suggests that relational database management systems (RDBMSs) can execute quantum circuit simulation by compiling the simulation into SQL workloads (primarily join-and-aggregate tensor contractions). While early results are promising, they largely focus on a narrow set of highly structured circuits and offer limited support for systematic database research, such...
Finite-size reliability of homothetic quantum Otto engines
Homothetic quantum Otto engines---where all populated energy gaps are rescaled by a common factor---provide a reference model in which the quasistatic stochastic efficiency is trajectory-independent while work remains fluctuating. For arbitrary finite homothetic spectra we derive the two-point-measurement work distribution and reduce the first two work moments to endpoint en...
Generative IQP Circuit Learning with Physics-Informed Latent Initialization
Quantum generative learning based on instantaneous quantum polynomial-time (IQP) circuits can benefit from efficient classical training strategies. A recent latent adaptation framework for IQP-based generative modeling transfers shared circuit parameters across instances of the same task with different hyperparameters while adapting only a low-dimensional latent variable for...
Roadside units (RSUs) supporting connected and autonomous vehicle corridors need compact models to decide when cooperative maneuvers should be rewarded, deferred, or disabled. Raw sensor streams and neural network weight checkpoints are poorly suited to bandwidth-limited, privacy-sensitive roadside learning. This paper presents $\texttt{FedQML-Edge}$, a federated quantum fea...
Cleveland Clinic and IBM Develop Quantum Machine Learning Model for Cancer Neoantigen Prediction
<p>Researchers from the Cleveland Clinic and IBM Research have developed a quantum machine learning framework to predict which tumor gene mutations generate immunogenic neoantigens—abnormal cell-surface proteins that trigger a therapeutic T-cell immune response. Published in Science Advances under the title "Quantum convolutional HLA immunogenic peptide prediction (Q-CHIPP):...
Commercial and Industry Context
<p>The U.S. National Science Foundation (NSF) has awarded the University of California San Diego (UC San Diego) an $18 million, six-year grant (NSF Award #2614051) to fund a Materials Research Science and Engineering Center (MRSEC) dedicated to developing advanced quantum materials. The award is part of a broader $108 million NSF deployment funding six national [...]</p> <p>...
Podcast with Cierra Lunde and Mike Kilroy from HKA Marketing Communications
<p>Passion is Key for Communicating Quantum Overview With the growing momentum and investment in the quantum sector, now is the time to tell a clear and compelling story about this powerful technology. That's the advice from HKA Marketing Communications leaders Cierra Lunde, Director, Strategic Content, and Mike Kilroy, Executive Vice President, who explain why the [...]</p>...
<p>Trapped-ion quantum computing developer IonQ (NYSE: IONQ) has officially completed its acquisition of SkyWater Technology (NASDAQ: SKYT), the largest exclusively U.S.-based semiconductor foundry. Following final regulatory approvals, the transaction closed on July 31, 2026, establishing IonQ as a vertically integrated quantum platform company with internal ownership of de...
U.S. Naval Research Laboratory Outlines Strategic Quantum Research Priorities
<p>The U.S. Naval Research Laboratory (NRL) has highlighted the operational roadmap of its Quantum Science Institute (QSI), aligning the laboratory's research enterprise with national directives under Executive Order 14413 ("Ushering in the Next Frontier of Quantum Innovation"). Formally established in June 2025 as the primary quantum research center for the U.S. Navy, the i...
SEALSQ Begins Commercial Deployment of Miraex Quantum Photonics Technology
<a href="https://thequantuminsider.com/2026/07/31/sealsq-launches-commercial-phase-of-miraex-quantum-photonics-technology/" rel="nofollow" title="SEALSQ Begins Commercial Deployment of Miraex Quantum Photonics Technology"><img alt="SEALSQ logo" class="webfeedsFeaturedVisual wp-post-image" height="695" src="https://thequantuminsider.com/wp-content/uploads/2026/07/2026-07-31_1...
IonQ Completes Acquisition of SkyWater Technology
<a href="https://thequantuminsider.com/2026/07/31/ionq-completes-skywater-acquisition-quantum-manufacturing/" rel="nofollow" title="IonQ Completes Acquisition of SkyWater Technology"><img alt="IonQ logo" class="webfeedsFeaturedVisual wp-post-image" height="691" src="https://thequantuminsider.com/wp-content/uploads/2026/07/2026-07-31_18-31.png" style="display: block; margin:...
French National Quantum Update: July 2026
<a href="https://thequantuminsider.com/2026/07/31/french-national-quantum-update-july-2026/" rel="nofollow" title="French National Quantum Update: July 2026"><img alt="French National Quantum Update" class="webfeedsFeaturedVisual wp-post-image" height="1024" src="https://thequantuminsider.com/wp-content/uploads/2026/07/July-2026.png" style="display: block; margin: auto; marg...
UC San Diego Advances Quantum Metamaterials for Ultrafast Optical Computing
<a href="https://thequantuminsider.com/2026/07/31/uc-san-diego-advances-quantum-metamaterials-for-ultrafast-optical-computing/" rel="nofollow" title="UC San Diego Advances Quantum Metamaterials for Ultrafast Optical Computing"><img alt="IBM" class="webfeedsFeaturedVisual wp-post-image" height="628" src="https://thequantuminsider.com/wp-content/uploads/2026/07/MRSEC2026-Quant...
Unrouted Items
Online Shadow Tomography Matching the Classical Bounds
In \emph{Online Shadow Tomography}, we are given copies of an unknown $d$-dimensional quantum state $ρ$, an adversary (adaptively) proposes a sequence of bounded observables $A^{(1)},\ldots,A^{(m)}$, and after each $A^{(t)}$ is given we must estimate $\Tr(A^{(t)}ρ)$ to within $\pm ε$. This is the direct quantum generalization of the classical problem of \emph{Adaptive Data A...
Spectrum Estimation is Almost as Hard as Tomography
We study the sample complexity of estimating and testing fundamental unitarily invariant properties of unknown quantum states; namely, the tasks of spectrum estimation, von Neumann entropy estimation, and rank-testing. For $d$-dimensional states, and for every $γ>0$, we prove a sample complexity lower bound of $Ω(d^{2-γ})$ for spectrum estimation to constant sorted total-var...
The Kikuchi Hierarchy is Sharp for $k$XOR
Planted noisy $k$XOR and the strong refutation of random $k$XOR are governed by a conjectured trade-off between signal strength and time: Level $\ell$ of the Kikuchi hierarchy should achieve the smooth curve \begin{equation*} m\ \gtrsim\ ρ^{-2}n^{k/2}/\ell^{k/2-1}\ \text{clauses} \quad\Longleftrightarrow\quad \text{solvable in time }n^{O(\ell)}, \end{equation*} where $ρ$ is...
Fermionic entropy: an efficiently measurable strong monotone for non-Gaussianity
Fermionic Gaussian states form a central class of classically tractable quantum states, while fermionic non-Gaussianity provides the resource required to go beyond free-fermion dynamics. A key challenge is to quantify this resource through monotones that are both mathematically rigorous and experimentally accessible. Here, we show that the fermionic entropy, defined through...
A Simple Necessary and Sufficient Condition for Yang--Baxter Integrability
Quantum integrability is a cornerstone of the exact theory of interacting quantum spin chains. In its standard formulation, however, one starts from R-matrices satisfying the Yang--Baxter equation, rather than from the Hamiltonian itself. It has therefore remained unclear how Yang--Baxter solvability can be characterized directly at the Hamiltonian level, and how it is relat...
Quantum geometric potential induced conformational transitions in elastic helical nanoribbons
We consider an {\em elastic} helical nanoribbon that can take on various conformations, and study the effect of placing a quantum particle on its curved surface. Using a modified Canham-Helfrich model for the elastic energy, we write down the local elastic potential for the ribbon in terms of its bending rigidity, mean curvature $M$ and Gaussian curvature $K$. The Schrödinge...
Unwithered Majorana fermions in the bulk of a quantum chain
The proposal is to probe Majorana modes in the system when its parameters are tuned to bring it into a disentangled ground state, which occur on the parametric curves known as disorder lines (DL). In such state certain correlation functions do not depend on separation. The exact results are presented for the XY spin chain in transverse field, also called the Kitaev chain in...
Quantum tomography of inelastic electron scattering \emph{via} orbital angular momentum states
The physical properties of a quantum system, whether pure or mixed, are described fully by its density matrix. Recovery of the density matrix through projective measurements -- referred to as quantum state tomography -- is a cornerstone of quantum optics and metrology. The implementation of this approach in transmission electron microscopy, in particular for the characterisa...
We have studied the fidelity of spatial entanglement between dissociated atom and ion from two photon dissociation of hydrogen molecular ion H 2 + . Two processes for two photon dissociation of molecular ion have been considered (i) sequential two photon (STP) absorption and (ii) correlated two photon (CTP) absorption by the molecular ion. We compared the results for fidelit...
iSWAP maximises the second-moment spectral gap in random quantum circuits
We prove that the $\mathrm{iSWAP}$ gate maximises the spectral gap of the Hermitian second-moment operator on every connected graph with at least three vertices, among all two-local unitary circuit ensembles. We further prove that the polyhedral cone defined by asymmetric four-point inequalities is invariant under the transpose of the $\mathrm{iSWAP}$ semigroup, yielding a c...
Delayed Formation of Landau Polaritons in Phase-Resolved THz Spectroscopy
Strong light-matter coupling gives rise to polaritons through coherent and periodic energy exchange between electromagnetic cavity fields and material excitations. While this interaction is typically inferred from spectral mode splitting, its dynamics remain largely unexplored. Here, using phase-resolved terahertz time-domain spectroscopy, we observe Rabi oscillations of Lan...
On the Emergence of Exponential Decay from Discrete Spectra for Friedrichs Hamiltonians
We study a class of Friedrichs Hamiltonians, that is, operators describing an excited state coupled to a bath through a rank-one perturbation, in the case where the bath Hamiltonian has purely discrete spectrum. We consider sequences of such Hamiltonians for which the spectral measures associated to the coupling functions by the bath Hamiltonians converge weakly to a limitin...
We present a comprehensive framework for evaluating the phase sensitivity of spectrally multimode SU(1,1) interferometers probed with a coherent-vacuum input, under both number and homodyne detections. The optical parametric amplifiers (OPAs) are simulated using a periodically polled thin-film lithium niobate waveguide. The theoretical model incorporates the intrinsic multim...
A spectral viewpoint on the single defect tight-binding chain
We analyze the time evolution of the nearest-neighbour tight-binding chain in the presence of a single onsite defect. Such a defect was shown to generate non-trivial transport behavior recently in the article \textit{Acharya et al J. Stat. Mech. (2026) 043102}. The authors have used a defect technique inspired by classical random walk methods to obtain exact analytical expre...
Quantum Algorithms for Modular Factorials
We give a bounded-error quantum algorithm that, given a prime $p$, a divisor $q\mid(p-1)$, and an integer $0<n<p$, computes $n!\bmod p$ in expected time $\widetilde{O}(q^c+\sqrt{p/q})$ for some absolute constant $c\ge 1$. When $p-1$ has a divisor of size $q\approx p^{1/(2c+1)}$, this gives the exponent $c/(2c+1)<1/2$. To our knowledge, this is the first algorithm to break th...
First Law of Proto-Area Entropy from Modular Spectral Geometry
We derive a first law of proto-area entropy in the CCKLP--Witten framework for approximate holographic entanglement wedge reconstruction. The central spectral function admits a modular Hamiltonian representation with kernel $L(x)=x\coth(x/2)$. For near-maximally-mixed bulk states, and within the unstructured Gaussian-unitary-ensemble (GUE) model of the encoding perturbation,...
Resolution of Infrared Entanglement Divergences via the Extended Uncertainty Principle
The entanglement entropy of quantum systems typically exhibits both ultraviolet and infrared (IR) divergences. In the low-frequency limit, the IR divergence is intimately tied to the unbounded spatial delocalization of zero-modes, a pathological feature common to both coupled harmonic oscillators and massless scalar fields. In this work, we demonstrate that this infinite gro...
Revisiting the Equation-of-Motion Method: A Universal Framework for Correlated Quantum Systems
A general implementation of the equation-of-motion (EOM) formalism for correlated many-body states is presented and applied to the description of collective excitations in atomic nuclei. While EOM approaches are traditionally formulated on top of independent-particle reference states, the present work extends the method to correlated reference states generated by modern many...
Algebraic Speedups for Exact Inversion of Hamiltonian Evolutions
Deterministic exact inversion of an arbitrary $d$-dimensional unitary requires {$Θ(d^2)$} coherent forward calls in the worst case. We ask how this cost changes for Hamiltonian evolution $U(x)=\exp(i\sum_j x_jH_j)$ when the generators are known but the parameters are hidden. For one-parameter families with a fixed eigenbasis, we show that additive relations among the distinc...
A Hubbard-Holstein dimer functions as a correlation-driven quantum battery, with ergotropy robustly stored, under some conditions, even in the presence of dissipation. We find that, although optimal work extraction can in principle recover all the stored energy, it requires unrealistically fine-tuned couplings. By contrast, a physically realizable protocol based on spectral...
Non-Hermitian Quantum Nonlinear Optics with Single Photons
Quantum nonlinear optics seeks to harness strong photon-photon interactions for scalable quantum technologies, although dissipative losses still pose a major barrier to near-unity conversion efficiency. Here, we bridge non-Hermitian physics with the quantum nonlinear domain by exploiting perfect absorption to identify and optimize few-photon nonlinear processes. We theoretic...
Fisher-Orthogonal Memory in Quantum Reservoir Computing
Quantum reservoir computing processes temporal information through driven many-body dynamics, but its performance is ultimately limited by how accurately past inputs can be extracted from finite measurements. Here we formulate this limitation as a local multiparameter estimation problem and introduce a delay-space quantum Fisher information matrix to quantify the distinguish...
Chiral magnons for spin-qubit state transfer
We propose a protocol where chiral magnons mediate a state transfer between two distant spin qubits. The protocol is implemented by varying the coupling between the spin qubits and the magnons in time, such that an arbitrary state is transferred from one qubit to the other. The modulation of the coupling is performed such that the two-spin-qubit state is kept as a dark state...
Entanglement in bipartite systems with symmetry: coupled chaotic kicked Bose-Hubbard systems
We investigate the average eigenstate entanglement in a bipartite many-body system which exhibits a breaking of two local conservation laws into a global conserved quantity. Such a setting is realized by the particle number conservation in Bose-Hubbard systems. We devise a corresponding random matrix model which captures the universal features of this symmetry breaking and a...
On the Origin of Beyond-Classical Advantage in the Parity-Permutation Problem
We investigate the task of identifying the parity (odd vs even) of an unknown permutation applied to $n$ particles. Classically, using fewer than $n$ distinct labels per particle limits the success probability to random guessing, whereas quantum mechanics, exploiting entanglement in both preparation and measurement, accomplishes the task perfectly with as few as $\big\lceil...
Optimal complex conjugation of unknown isometry channels
Access to the complex conjugate of an unknown quantum channel is a useful resource in quantum oracle problems, motivating the question of how such access can be simulated using only a limited number of calls to the original channel. We determine the optimal deterministic protocol for approximately implementing the complex conjugate isometry $\overline{V}$ from $n$ uses of an...
Nuclear Spin Squeezing Based on Spin-Exchange Collisions
Isolation from environment leads to the days-long lifetime of noble-gas nuclear spins, but also brings great challenges to the preparation, manipulation, and measurement of nuclear-spin quantum states. Here we find that nuclear spin squeezing, with ultra-long lifetime and huge atomic number, can be efficiently obtained and manipulated based on the coherent spin-exchange inte...
Bell violation with path-entangled number states under realistic detection
A single photon delocalised over two modes is entangled, and whether that entanglement can violate a Bell inequality has been disputed for three decades. In principle it is settled: the surviving objection was the absence of a shared phase reference, and a local oscillator supplies one, acting as a shared frame rather than as a measurement setting. In practice it is open, an...
The research on minimal nonlocality aims to determine the minimal cardinality of nonlocal sets of quantum states. However, the construction of a nonlocal set of states in bipartite or tripartite quantum systems with unequal local dimensions remains unsolved. In this paper, we first give a method to construct a set of orthogonal quantum states with minimal nonlocality in $\ma...
Optically Resolved Excited State Hyperfine Structure of a Silicon Colour Centre in the Telecom Bands
Nuclear spin qubits in silicon offer exceptionally coherent quantum memory, and optically-interfaced spins are a promising platform for both quantum networking and distributed quantum computing. It has been proposed that emitters with diamagnetic ground states may permit an optical interface to nuclear spin memories via metastable, hyperfine-coupled excited states while supp...
Two Hands Corporation Begins External Beta Testing for EntangleX Quantum Simulator
<p>Micro-cap technology holding firm Two Hands Corporation (OTC: TWOH)—which is in the process of changing its corporate identity to Quantum X Inc.—has announced that the base user interface for its internally developed quantum circuit simulation software, EntangleX, is now open to selected external partners for third-party beta testing. The milestone follows a phase of inte...
EY Expands In-House Capabilities with On-Site Quantum Computer Hub in Canada
<p>Global professional services firm Ernst & Young (EY) has announced the addition of an on-site quantum computer to its in-house technology stack. Led by EY Canada, the deployment serves as a key innovation hub within EY's global enterprise tech strategy. The hardware installation forms part of a broader $3 billion global investment in artificial intelligence [...]</p>...
Vexlum Establishes UK Operations and Appoints Dr. Stefan Truppe as Managing Director
<p>High-power semiconductor laser developer Vexlum has announced the establishment of a dedicated R&D laboratory in London alongside the appointment of Dr. Stefan Truppe as Managing Director of Vexlum UK. Spun out from Tampere University in Finland, the company specializes in Vertical-External-Cavity Surface-Emitting Laser (VECSEL) technology, producing high-power, singl...
Pusan National University and UNIST Demonstrate Hybrid Quantum Interconnect Benchmark
<p>Researchers at Pusan National University and the Ulsan National Institute of Science and Technology (UNIST) have demonstrated direct two-photon interference between two physically distinct, un-synchronized quantum light sources: a warm cesium atomic vapor ensemble and a semiconductor quantum dot (QD). Published in Light: Science & Applications, the breakthrough achiev...
Qubitrium Supports NATO Training Programme on Dual-Use Quantum Technologies
<a href="https://thequantuminsider.com/2026/08/03/qubitrium-nato-training-programme-dual-use-quantum-technologies/" rel="nofollow" title="Qubitrium Supports NATO Training Programme on Dual-Use Quantum Technologies"><img alt="Qubitrium workforce training" class="webfeedsFeaturedVisual wp-post-image" height="735" src="https://thequantuminsider.com/wp-content/uploads/2026/08/20...
Atomionics Expands Quantum Gravimetry Research Into Ocean Sensing
<a href="https://thequantuminsider.com/2026/08/03/atomionics-opens-quantum-sensing-hub-singapore/" rel="nofollow" title="Atomionics Expands Quantum Gravimetry Research Into Ocean Sensing"><img alt="Atomionics team" class="webfeedsFeaturedVisual wp-post-image" height="740" src="https://thequantuminsider.com/wp-content/uploads/2026/08/2026-08-03_13-25.png" style="display: bloc...
Why Crypto-Agility Matters for Post-Quantum Cryptography Migration
<a href="https://thequantuminsider.com/2026/07/31/why-crypto-agility-matters-for-post-quantum-cryptography-migration/" rel="nofollow" title="Why Crypto-Agility Matters for Post-Quantum Cryptography Migration"><img alt="Crypto-Agility" class="webfeedsFeaturedVisual wp-post-image" height="691" src="https://thequantuminsider.com/wp-content/uploads/2026/07/2026-07-31_15-40.png"...
Chips
47 chip stack items collected on 2026-08-03; 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 Tesla P100 Supercharges HPC Applications by More Than 30X
ISC16 - To meet the unprecedented computational demands placed on modern data centers, NVIDIA today introduced the NVIDIA® Tesla® P100 GPU accelerator for PCIe servers, which delivers massive...
Memory and Advanced Packaging
Flat Enough? Warpage Management Gets Harder In Advanced Packaging
<p>As packages get larger and thinner, warpage is becoming a process-control problem rather than a simple flatness spec. </p> <p>The post <a href="https://semiengineering.com/flat-enough-warpage-management-gets-harder-in-advanced-packaging/">Flat Enough? Warpage Management Gets Harder In Advanced Packaging</a> appeared first on <a href="https://semiengineering.com">Semicondu...
<p>Rethinking AI compute; DFI 6; 3D-IC reliability; local AI in browser; surface prep and cleaning.</p> <p>The post <a href="https://semiengineering.com/blog-review-july-29-3/">Blog Review: July 29</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Foundry, Tools, and Capex
Compute Clusters Break Out Of National Labs To Scale AI
<p>For compute-intensive applications, clusters of nodes that act as a single computer offer a way to scale performance and provide a workaround for organizations that lack access to leading-edge AI chips.</p> <p>The post <a href="https://semiengineering.com/compute-clusters-break-out-of-national-labs-to-scale-ai/">Compute Clusters Break Out Of National Labs To Scale AI</a>...
<p>Researchers from University of Houston, Toyota, and Imperial College London published a technical paper titled “Deployable 3D Architectures from Wafer-Fabricated Precursors.” The paper shows that “standard wafer fabrication can produce free-standing, mechanically stable, doubly-curved 3D structures with prescribed Gaussian curvature — a capability not previously achieved...
Unrouted Items
SK Group and NVIDIA Expand Strategic Partnership Across AI Factories and Next-Generation Memory
SK Group and NVIDIA today announced plans for a $500-billion-plus comprehensive partnership to establish AI infrastructure serving the surging demand for global compute. The two sides signed letters of intent to formalize the agreement, which spans from AI factory construction to AI memory supply.
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:/...
AAI 2026: AMD Delivers Full-Stack Compute for the Agentic AI Era
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
Self-Driving Cars Have An Aging Problem
<p>AI workloads are pushing automotive sensors harder, forcing engineers to rethink how long safety-critical systems can be trusted.</p> <p>The post <a href="https://semiengineering.com/self-driving-cars-have-an-aging-problem/">Self-Driving Cars Have An Aging Problem</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Modular Verification of RTL Processors Against ISA Contracts (MIT, Google, UW)
<p>Researchers from MIT, Google, and University of Washington published a technical paper titled “Granite: A Modular Methodology for Foundational Verification of Hardware-Software Leakage Contracts.” Abstract Excerpt: “Granite is a methodology for modular verification of both functional correctness and nonleakage of RTL processors against ISA contracts. We prove that t...
<p>DAC's big buzz; CHIPS Act $; China's immersion DUV; UMC expands; SIA's state of the industry; DRAM shortages; earnings; PCB design credential program; IBM's quantum advantage; AI security alliance; foreign robotics ban.</p> <p>The post <a href="https://semiengineering.com/chip-industry-week-in-review-149/">Chip Industry Week In Review</a> appeared first on <a href="https:...
Hybrid Memory Combines NAND Flash And DRAM For Faster Data Transfer (U. of Seoul)
<p>Researchers from University of Seoul published a technical paper titled “NAD Memory: A Hybrid Memory Device Combined with NAND Flash Memory and DRAM.” The paper proposes “a hybrid memory architecture, termed NAD, which tightly integrates DRAM and NAND flash to enable direct and parallel data transfer. By eliminating intermediate components such as I/O buffers and......
<p>Researchers from Stanford University and Hanyang University published a technical paper titled “Bridging the p-type gap in oxide electronics with 2D semiconductors.” “The review assesses manufacturing-aligned pathways to high-performance 2D p-channel transistors, covering transfer-free low-temperature growth, clean van der Waals contacts, gentle p-doping, and mitiga...
<p>Researchers from NMIMS Hyderabad, IIT Roorkee, and BITS Pilani published a technical paper titled “Benchmarking LLMs for Verilog Design Flows.” Abstract Excerpt: The paper presents “aa reproducible benchmarking platform that evaluates open-source LLMs on Verilog RTL generation across 50 curated tasks consisting of combinational, sequential, finite state machine (FSM), and...
Power
24 power layer items collected on 2026-08-03; data center load, grid, generation, and cooling signals routed.Data Center Power Demand
New York imports more electricity from Canada after high-voltage transmission line opens
On July 3, 2026, the New York Independent System Operator (NYISO) imported 52 gigawatthours (GWh) of electricity from Canada, the most traded between the two areas since January 2025. Some of the imported electricity flowed along the new Champlain Hudson Power Express (CHPE) transmission line between Quebec, Canada, and New York City, which officially reached commercial oper...
Metered electricity demand in the New York ISO falls midday because of small-scale solar
An increase in electricity generation from small-scale solar in New York has decreased the midday demand for metered electricity, amid overall declining load in the state. The trend is particularly notable in the early spring (March and April), when solar generation has an outsized impact because demand is relatively low and conditions for solar generation are favorable.
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
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...
GE Vernova expands Pennsylvania manufacturing facility to strengthen U.S. grid supply chain
CHARLEROI, Pa., (July 30, 2026) – GE Vernova (NYSE: GEV) today announced an expansion of its Power Transmission manufacturing facility in Charleroi, Pennsylvania, which produces high-voltage circuit breakers, switchgear products, and instrument transformers. By
HONOLULU, (July 20, 2026) – GE Vernova Inc. (NYSE: GEV) today announced it has secured a contract with Hawaiian Electric (HECO), the electric public utility in Hawaii, to supply six LM6000VELOX* aeroderivative package units to repower the aging oil-fired steam turbines at its Waiau
GE Vernova to deliver SF₆-free grid hubs for Stromnetz Berlin
BERLIN, Germany, (16 July 2026): GE Vernova Inc. (NYSE: GEV) today announced it has been awarded two contracts by Stromnetz Berlin GmbH for the design, delivery and installation of two new high-voltage electrical substations in Wittenau and Neukölln. These grid nodes form part of Berlin’s high
GE Vernova modernizes its R&D lab in Italy to support more reliable electric grids
NOVENTA DI PIAVE, Italy —June 30, 2026— GE Vernova today announced the completion of the modernization of its high-voltage research and development (R&D) laboratory at its Noventa di Piave site, near Venice, Italy. The lab tests equipment that helps electricity move safely from where it is
GE Vernova secures H-class equipment order for EVN’s Quang Trach II LNG Power Plant in Vietnam
HANOI, Vietnam - June 23, 2026 – GE Vernova Inc. (NYSE: GEV) today announced it has secured an order for two 9HA.02 gas turbines and two H78 generators for Vietnam Electricity’s (EVN) Quang Trach II LNG Power Plant in Vietnam. The new combined-cycle power plant is expected to generate
Unrouted Items
Energia Costa Azul, Mexico's second LNG terminal, shipped first cargo
Energia Costa Azul, the second liquefied natural gas (LNG) export facility in Mexico, shipped its initial cargo from Phase 1 of the terminal on July 8, according to the project developer. The completion of the project adds 0.4 billion cubic feet per day (Bcf/d) of nominal export capacity from a single train, tripling Mexico's LNG export capacity. The facility is the first te...
Global liquefied natural gas trade volumes reached record high in 2025
Global liquefied natural gas (LNG) trade volumes increased 5.4% to a record 56.3 billion cubic feet per day last year (Bcf/d), driven largely by U.S. LNG export capacity expanding to meet growing demand, according to a recent report from the International Group of Liquefied Natural Gas Importers (GIIGNL). Global LNG trade has slowed this year following the closure of the key...
U.S. refining capacity decreased during 2025
U.S. operable atmospheric distillation capacity, the primary measure of refinery capacity, totaled 18.2 million barrels per calendar day (b/cd) on January 1, 2026-down over 250,000 b/cd (about 1%) compared with January 1, 2025-according to our latest annual Refinery Capacity Report.
U.S. commercial crude oil inventories have decreased in June
For the week ending June 19, 2026, U.S. refineries processed 17.1 million barrels per day (b/d) of crude oil, down 81,000 b/d from the previous week, and they operated at 96.1% capacity utilization. Gasoline production averaged 9.5 million b/d, and distillate production increased to 5.2 million b/d.
UAE's exit from OPEC+ reduced the group's share of crude oil production and capacity
On April 28, 2026, the United Arab Emirates (UAE) announced that it was leaving OPEC, effective on May 1. OPEC was formed in 1960 by Iraq, Iran, Kuwait, Saudi Arabia, and Venezuela, with the stated objective to "coordinate and unify petroleum policies among Member Countries." OPEC is best known for its effect on global crude oil prices.
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...
Paris, FRANCE (July 28, 2026) — First Hydro Company (joint venture between ENGIE and La Caisse), and GE Vernova Inc. (NYSE: GEV), announce the next phase of the modernization/replanting of the Dinorwig pumped storage hydropower plant in North Wales, UK. Under the agreement, GE Vernova is
GE Vernova modernizes its Veresegyház hub to boost energy independence and lean production lines
VERESEGYHÁZ, Hungary – July 27, 2026 — GE Vernova Inc. (NYSE: GEV) is proud to mark the 25th anniversary of its Veresegyház facility this year, celebrating a quarter-century of excellence as the company’s largest Gas Power manufacturing base outside the United States. To honor this milestone, the
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
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