Daily brief
July 20, 2026.
70 quantum research items collected on 2026-07-20; hardware, control, and industry signals routed.
Quantum
70 quantum research items collected on 2026-07-20; hardware, control, and industry signals routed.Hardware and Error Correction
Fast logical operations in quantum LDPC codes using simple resource states
Quantum LPDC codes provide a substantial reduction in qubit overhead required for fault-tolerant quantum computation compared to surface code, thanks to their high encoding rate. However, operating simultaneously on multiple logical qubits encoded in the same block is more challenging and may slow down logical operations. Prior work addresses this problem by designing comple...
Interactions of cosmic rays and other forms of ionizing radiation pose a significant challenge to the reliable operation of state-of-the-art quantum devices and error correction in quantum computing based on superconducting circuits which are typically fabricated on semiconductor substrates. Shielded by 2 km of rock overburden, the Cryogenic Underground TEst facility (CUTE)...
Quantum-classical crossover in fault-tolerant quantum dynamics simulation
While quantum computers promise to solve classically intractable problems, identifying the point at which fault-tolerant quantum computation outperforms the best classical algorithms for practical applications remains an outstanding challenge. Here we establish a concrete quantum-classical crossover for quantum many-body dynamics under realistic hardware conditions. We intro...
Combinatorial aspects of holographic quantum secret sharing
We introduce combinatorial holographic quantum secret sharing (CHQSS) for a bulk subregion in AdS$_3$/CFT$_2$ to study how logical information of the bulk subregion is encoded in the boundary and protected from erasures of boundary subregions. We introduce a distance, a reconstruction threshold, and a secret threshold to characterize CHQSS schemes. We present the phase trans...
Harnessing resonant dipolar interactions in a hybrid atom-molecule quantum system
Hybrid quantum systems offer a route to combining the complementary strengths of distinct quantum platforms while mitigating their limitations. A particularly promising architecture combines neutral atoms and polar molecules: atoms provide fast, controllable interactions through excitation to Rydberg states, while molecules possess long-lived rotational states that are attra...
Optimization of multistate STIRAP by pulse shaping
We propose a pulse-shaping method for improving population transfer in multistate stimulated Raman adiabatic passage (STIRAP) with nearest-neighbour couplings only. The method extends the quasiparallel-eigenenergy approach, previously used for two- and three-state systems, to multistate chains without introducing additional shortcut fields. The pump and Stokes fields are sha...
A significant challenge in the field of large-scale fault-tolerant quantum computation is the influence of noise. In addition to the influence of noise on individual qubits, the smaller additional effect of noise correlations is also of high significance because correlated errors pose a challenge for quantum error correction. We describe the dynamics of two cavity-coupled qu...
Fermion parity of an Andreev molecule probed by nonlocal Josephson effect
Fermion parity is a fundamental property of superconducting many-body states. Here, we show that the global fermion parity of a delocalized superconducting state can be detected locally by exploiting the nonlocal Josephson effect. Using a carbon nanotube-based Andreev molecule formed by two coupled quantum-dot Josephson junctions, we observe a pronounced nonlocal Josephson r...
Control and Quantum-AI Integration
Parameterized Quantum Circuit Semantics Through Enriched Categories
It is well-known that combinatorial circuits are modeled mathematically by string diagrams in monoidal categories. Given a gate set $Σ$, the circuits over $Σ$ can be thought of as string diagrams in the free monoidal category generated by $Σ$. In this model, circuit semantics are then given by monoidal functors out of this free category. For quantum circuits, this functor is...
Rethinking Quantum Continual Learning with Quantum Fisher Information
Quantum continual learning aims to train quantum models on sequential tasks without losing previously learned knowledge. However, variational quantum classifiers (VQCs) are prone to catastrophic forgetting under nonstationary task distributions. We propose quantum elastic weight consolidation (QEWC), a quantum Fisher information (QFI)-informed regularization method for mitig...
Parameter Estimation in a Continuously Monitored Non-Markovian Quantum System
Continuous monitoring is a powerful tool for analyzing quantum systems and is increasingly used as a non-demolition technique in quantum metrology. In this context, noisy data acquired through continuous monitoring can be used to precisely pinpoint unknown parameters of the system. However, extending the theoretical framework that connects these data to the underlying parame...
The Variational Quantum Eigensolver (VQE) and its adaptive variants, such as ADAPT-VQE, are central to the study of strongly correlated quantum systems. However, the classical simulation of the ansatz growth process remains constrained by the exponential scaling of operator space and the associated computational cost of unitary evolution. We introduce the Greedy Operator Com...
Across public tabular benchmarks, quantum machine-learning (QML) models usually lose to carefully tuned classical baselines. We argue that this is a structural property of the datasets rather than merely a limitation of current models. Because an angle-encoded quantum neural network is a partial Fourier series, a genuine advantage can arise only when the target spectrum is s...
Quartet correlations in neutron-rich Te isotopes are investigated within the quartet Bardeen-Cooper-Schrieffer (BCS) framework. Taking \(^{100}\)Sn as an inert core, we consider two valence protons and valence neutrons occupying the \(2d_{5/2}\oplus1g_{7/2}\) model space, and solve the quartet BCS variational equations with a charge-independent isovector pairing interaction....
Boundary-Phase Control of Sequentially Addressed Trapped-Ion ZZ Interactions
Motion-mediated trapped-ion gates typically apply synchronized state-dependent forces to both target ions. We consider the complementary setting in which one addressing channel alternates between the targets, so their force windows do not overlap. In a complex-amplitude near-resonant description, each window generates a displacement vector, and ordered symplectic products of...
Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems
Alternating Current Optimal Power Flow Unit Commitment (AC-OPF-UC) is a difficult mixed-integer nonlinear optimization problem that combines binary generator commitment decisions with nonconvex continuous AC power-flow constraints. In this work, we investigate whether hybrid quantum-classical variational algorithms can improve the solution of single-period AC-OPF-UC relative...
Commercial and Industry Context
Grover's algorithm for image edge detection
Grover's algorithm is one of the most significant quantum algorithms, enabling the search for a marked element in an unsorted database quadratically faster than classical search algorithms. We utilize Groves's algorithm to detect the edges of a digital image faster than any classical edge detection methods. The high success probability of our method in detecting image edges,...
Enhanced Rydberg-Atom Superheterodyne Detection of Hidden-Photon Dark Matter on Chips
Although hidden-photon dark matter with masses above $10^{-4}\,\mathrm{eV}$ is well motivated by inflationary production, it remains largely unexplored by terrestrial experiments. Through kinetic mixing, hidden photons induce a weak oscillating electric field above $10\,\mathrm{GHz}$. We propose to amplify this signal using a compact high-frequency distributed cavity and det...
Who’s News: Strategic Appointments at Pasqal, PsiQuantum, and Haiqu
<p>Pasqal has appointed Mark Armstrong as Chief Commercial Officer for Europe, the Middle East, and Africa (EMEA) and the Asia-Pacific region (APAC). Armstrong joins from Hewlett Packard Enterprise (HPE), where he served as EMEA Vice President and General Manager for High Performance Computing and AI. In his new role, he will oversee Pasqal's commercial strategy, [...]</p> <...
Aqarios Enters Public Markets via SPAC, Becoming Germany’s First Listed Quantum Pure-Play
<p>Munich-based quantum optimization software provider Aqarios GmbH has completed a public listing on the Düsseldorf Stock Exchange (Börse Düsseldorf) through a reverse merger transaction via a Special Purpose Acquisition Company (SPAC). Following a successful combination agreement with Fonterelli SPAC 4 AG, the newly combined capital market vehicle has been formally renamed...
Singapore’s pQCee Raises $3.9M Seed Round to Accelerate Global Crypto-Agility Deployment
<p>Singapore-based quantum-safe cybersecurity startup pQCee has raised $3.9 million in a seed funding round. The investment reflects a significant shift as commercial and government entities transition post-quantum cryptography (PQC) out of academic theory and into practical enterprise procurement frameworks. The round was co-led by government-backed deep-tech investor SGInn...
Tennessee Launces Comprehensive K–12 Quantum Education and Career Initiative
<p>The Chattanooga Quantum Collaborative (CQC) has launched TN QuantumWorks, one of the United States' first comprehensive K–12 quantum technology and career awareness education initiatives. Developed by workforce education innovators Dr. Dane and Sheila Boyington of Thinking Media, the curriculum will be introduced as an active pilot program within Hamilton County Schools b...
<p>A multi-institutional collaboration including Quantinuum, the University of Chicago Pritzker School of Molecular Engineering (UChicago PME), Harvard University, and Stony Brook University has successfully demonstrated the first universal topological gate set using non-Abelian anyons. Published in Nature, the landmark experiment utilized Quantinuum’s H2 trapped-ion quantum...
Digital Catapult and NQCC Launch Third QTAP Cohort, Introducing Banking and Healthcare Streams
<p>The UK's deep-tech innovation accelerator Digital Catapult has welcomed 11 commercial and public organizations to the third cohort of its Quantum Technology Access Programme (QTAP). Delivered in tandem with the National Quantum Computing Centre’s (NQCC) SparQ program, the initiative provides a structured incubation pathway to transition theoretical algorithms into verifia...
Unrouted Items
Reverse engineering of single-qubit quantum gates
In this work, we address the problem of designing single-qubit quantum gates by means of a linearly-polarized field. We show that any desired one-qubit gate corresponding to a special unitary matrix can be generated by a modulated sinusoidal field. The only approximation involved is the rotating-wave-approximation. The formula for the control field is obtained by inverting t...
This work explores whether localized electromagnetic interactions can be modeled in terms of an effective object-relative ultraviolet weighting of internal modes. The proposal is motivated heuristically by two considerations: a weak-field self-backreaction estimate for sufficiently localized energy-carrying modes and a three-dimensional overlap argument for localized interac...
Operator Entanglement in Quantum Dynamics Simulations: Formalism and Analysis Tools
We review the framework of operator Hilbert space and introduce the one- and two-particle super reduced density matrices (1-SRDMs and 2-SRDMs), as well as the super mutual information (SMI). The eigenvectors of the 1-SRDMs define what we term natural single particle operator bases, and provide a way to compress vibrational and vibronic Hamiltonians with controlled error. The...
Rigorous Time-dependent Hamiltonian Learning via Continuous Weak Measurements
Characterizing the Hamiltonian that a quantum processor actually implements is central to calibrating and validating current quantum hardware. Many devices, however, operate with generators that are time dependent by design. Here we develop a rigorous and experimentally friendly protocol for learning time-dependent many-body Hamiltonians from continuous weak measurement reco...
Quantum Mechanics on Lie Groups: II. Path Integrals
We continue our study of quantum dynamics on a Lie group $G$, initiated in arXiv:2512.19840, by building the path integral that governs transition amplitudes in the Hilbert space $L^2(G)$. This relies on the proper handling of both a noncommutative momentum space and the presence of compact directions in $G$. We show that compactness can be handled through a sum over winding...
Tunable Families of Multiqubit Elegant Joint Measurements
We give a closed-form construction of the $n$-qubit Elegant Joint Measurement (EJM) proposed in [PRL \textbf{136}, 190201 (2026)] and show that it is part of a tunable family of measurements with tetrahedrally arranged Bloch vectors. The construction is based on the interference pattern implied by a single phase polynomial built from the elementary symmetric functions. It re...
Hanbury-Brown Twiss effect, squeezed gravitons and the photon correlations
Unlike the gravitational waves classically generated by moving macroscopic masses, the diffuse backgrounds of gravitons originate most likely from zero-point fluctuations of the gravitational field amplified by the evolution of the space-time curvature. The resulting entangled states lead to specific second-order correlation effects that could be eventually detected. For a q...
Conditional Euclidean-Hamiltonian reductions for sign-problem toy models
Euclidean Monte Carlo methods are effective when the path-integral weight is real and nonnegative, but finite-density fermion systems often produce sign-changing or complex scalar weights after the fermionic sector is traced out. Hamiltonian formulations avoid this complex-weight sampling problem but face rapid Hilbert-space growth. This paper studies a conditional Euclidean...
Beyond the Positive Partial Transpose Squared Conjecture: The Qutrit Case
Entanglement swapping is a fundamental operation in quantum repeaters for establishing entanglement between distant parties. The positive partial transpose (PPT) squared conjecture asks whether two PPT entangled links can generate terminal entanglement through entanglement swapping, or equivalently, whether the composition of two PPT maps is always entanglement breaking. Mot...
Causality in Pure Quantum Computation with Quantum Control
Indefinite causal order is a characteristic phenomenon in quantum computation, with examples including the quantum SWITCH and the OCB process. Not all such processes are believed to be physically realizable: while some implementations of the quantum SWITCH have been proposed, the OCB process is suspected to be unrealizable. This difference in realizability is commonly attrib...
The statistical disturbance bound of quantum measurements
Quantifying the disturbance caused by a quantum measurement typically requires detailed knowledge of the underlying measurement channel. In this work, we introduce a statistical disturbance bound, which connects the statistical properties of a quantum measurement to the state disturbance induced by any compatible measurement channel. Specifically, we show that the average fi...
Programming with Quantum-Controlled Quantum Channels
In contrast to a classical bit, which can only take the value $0$ or $1$, its quantum counterpart -- a qubit -- can exist in a superposition of $0$ and $1$. This is a superposition of data values, naturally raising the question of whether one can superpose not only data but also programs. For example, a particular superposition of programs, known as the quantum SWITCH, has a...
Photoelectrical readout of the electronic spin state of the nitrogen-vacancy (NV) center in diamond is attracting significant interest due to the numerous advantages it possesses compared with conventional fluorescence readout. The higher charge carrier rate compared to the photon rate and the integration of the detection scheme on a chip can significantly advance quantum se...
Maximal quantum leakage: operational interpretation and quantum channel analysis
Maximal quantum leakage quantifies privacy against adversaries with arbitrary intentions. In this work, we prove that computing this leakage is equivalent to minimum-error quantum state discrimination with equal priors. This establishes a computable operational interpretation, addressing the previous difficulty in computing maximal quantum leakage. We further analyze the imp...
Manipulating non-intrinsic outputs of a non-Hermitian coupled system by weak external driving
Measurement provides access to exploring and understanding nature and finds widespread applications. It is generally believed that the weak external driving used in measurement introduces negligible disturbance to the intrinsic output of the probed system. Here, we reveal that dissipation in a non-Hermitian quantum coupled system induces interference between self-excitation...
Controlling charge and spin currents through nonreciprocal dissipative processes
We investigate the generation and control of both charge and spin currents via nonreciprocal dissipative mechanisms in a two-dimensional spinful fermionic atom quantum system with broken inversion and time-reversal symmetries. Within the Gorini-Kossakowski-Sudarshan-Lindblad master equation formalism and using an approach based on the time-dependent generalized Gibbs ensembl...
Einstein crystals in Snyder and Snyder-de Sitter noncommutative backgrounds
We investigate the behavior of Einstein crystals in noncommutative backgrounds described by the Snyder and Snyder-de Sitter models. Possible novel effects, which may arise in realistic systems such as diamond crystals, are analyzed within a thermodynamical framework. We show that noncommutativity influences the key thermodynamic quantities, including internal energy and spec...
Non-Gaussianity is an essential resource for genuine quantum advantages in continuous-variable quantum systems and is regarded as a counterpart of the magic resource in discrete-variable systems. Recently, an exact correspondence between non-Gaussianity (NG) and the magic resource was identified within the Gottesman--Kitaev--Preskill (GKP) encoding framework. Whether such a...
Strong intervalley mixing between copropagating quantum Hall edge channels in a silicon MOSFET
Copropagating quantum Hall edge channels provide a promising platform for compact electron interferometry and flying quantum states. In silicon, the valley degree of freedom offers a natural alternative to spin-resolved edge channels because spin-flip scattering is strongly suppressed by the weak spin-orbit interaction. Here, we investigate interchannel transitions between c...
Spectral Attack on Continuous-Variable Quantum Key Distribution Systems
Continuous-variable quantum key distribution (CVQKD) has attracted extensive attention due to its compatibility and low costs. However, bandwidth mismatch exists to varying degrees between the transmitter and receiver. This may prevent frequency components carrying modulation information from being fully perceived by the legitimate party. In this paper, we identify a practic...
Fate of dynamical quantum phase transitions from sudden quench to slow quench limit
Previous investigations of dynamical quantum phase transition (DQPT) have predominantly focused on sudden quench protocols. In this work, we systematically explore the fate of DQPT from the sudden to the slow quench regime. We establish that DQPT remains robust under slow quenching when the protocol crosses an equilibrium quantum phase transition. Conversely, we show that ac...
Classical codes violate the conjectured square-root bound for quantum random access codes
We consider whether every quantum random access code (QRAC) with density-operator encodings and arbitrary decoding measurements obeys the conjectured bound $p\leq(1+\sqrt{m/n})/2$, where $n$ classical bits are encoded into $m$ qubits and $p$ is the worst-case success probability. We find that classical random access codes with private randomness, which form a subclass of thi...
Probing Lorentz-invariance-violation with quantum coherence of Unruh-DeWitt detector
Testing Lorentz invariance violation (LIV) is notoriously difficult, as its characteristic energy scale, $M_\star$, in modified dispersion relations typically lies beyond current experimental reach. To enable a low-energy probe, we investigate the quantum coherence of an inertial Unruh-DeWitt (UDW) detector interacting with a massless scalar field with a Lorentz-violating di...
Quantum states supported by matroids
In this work, we establish a structural correspondence between quantum states and matroid theory. This connection demonstrates that key properties of quantum states, including entanglement and measurement, can be characterized in purely combinatorial terms via matroids, despite the apparent conceptual distance between these two fields. Using this framework, we show that a ma...
The Complexity of Dynamical Correlators: Operator Shadows and Exponential Learning Separations
Quantum platforms can realize many-body dynamics beyond classical simulation yet complete readout remains intractable: the cost of extracting accessible information scales exponentially with system size. Classical shadows and Bell sampling offer scalable, multi-observable estimation from randomized or entanglement-assisted measurements. Here we aim to push these ideas beyond...
Efficient routing and spectrum allocation in arbitrary flex-grid entanglement networks
As practical quantum networks approach large-scale deployment, the need for efficient user-to-user frequency allocation is increasing, yet current approaches only provide partial solutions to the routing and spectrum allocation problem for an arbitrary quantum network. We address this challenge for repeater-less flex-grid quantum networks based on hyperentangled photons usin...
ESA Installs Its First On-Premises Quantum Computer to Boost Earth Observation Capabilities
<p>The European Space Agency’s Centre for Earth Observation (ESA-ESRIN) has announced the physical installation of its first on-premises quantum computer at its data center in Frascati, Italy. Procured through a strategic hardware agreement with Irish deep-tech spinout Equal1, the Bell-1 quantum computer will be integrated directly with ESA’s existing High-Performance Comput...
DOE Advances Domestic Silicon and Germanium Isotope Supply Chains For Quantum Information Science
<a href="https://thequantuminsider.com/2026/07/20/doe-advances-domestic-silicon-and-germanium-isotope-supply-chains-for-quantum-information-science/" rel="nofollow" title="DOE Advances Domestic Silicon and Germanium Isotope Supply Chains For Quantum Information Science"><img alt="DOE" class="webfeedsFeaturedVisual wp-post-image" height="778" src="https://thequantuminsider.co...
Guest Post: Patentability of Quantum Computing Inventions
<a href="https://thequantuminsider.com/2026/07/18/guest-post-patentability-of-quantum-computing-inventions/" rel="nofollow" title="Guest Post: Patentability of Quantum Computing Inventions"><img alt="Detailed close-up of a patent agreement document on a polished wooden table." class="webfeedsFeaturedVisual wp-post-image" height="1067" src="https://thequantuminsider.com/wp-co...
QTREX Quantum Appoints Dr. Shlomit Chappel-Ram as Independent Director
<a href="https://thequantuminsider.com/2026/07/17/qtrex-quantum-appoints-shlomit-chappel-ram-independent-director/" rel="nofollow" title="QTREX Quantum Appoints Dr. Shlomit Chappel-Ram as Independent Director"><img alt="QTREX Quantum logo" class="webfeedsFeaturedVisual wp-post-image" height="715" src="https://thequantuminsider.com/wp-content/uploads/2026/07/WW.png" style="di...
Braided, Exotic Particles Could Build Reliable, Universal Quantum Computers
<a href="https://thequantuminsider.com/2026/07/17/braided-exotic-particles-could-build-reliable-universal-quantum-computers/" rel="nofollow" title="Braided, Exotic Particles Could Build Reliable, Universal Quantum Computers"><img alt="researcher" class="webfeedsFeaturedVisual wp-post-image" height="720" src="https://thequantuminsider.com/wp-content/uploads/2026/07/RubenVerre...
<a href="https://thequantuminsider.com/2026/07/16/quantum-source-robust-entangled-photon-source-quantum-networks/" rel="nofollow" title="Quantum Source and Israel’s DDR&D Demonstrate Robust Single-Atom Source for Real-World Quantum Communication"><img alt="Quantum Source" class="webfeedsFeaturedVisual wp-post-image" height="694" src="https://thequantuminsider.com/wp-cont...
Digital Catapult Welcomes New Cohort to Explore Industrial Quantum Applications
<a href="https://thequantuminsider.com/2026/07/16/digital-catapult-quantum-technology-access-programme-cohort/" rel="nofollow" title="Digital Catapult Welcomes New Cohort to Explore Industrial Quantum Applications"><img alt="Digital Catapult logo - TQI" class="webfeedsFeaturedVisual wp-post-image" height="692" src="https://thequantuminsider.com/wp-content/uploads/2026/07/202...
Chips
43 chip stack items collected on 2026-07-20; memory, packaging, compute, and foundry signals routed.Compute Accelerators
NAVER Expands AI Infrastructure With NVIDIA to Serve Surging Global AI Demand
NVIDIA and NAVER today announced that NAVER will expand sovereign AI infrastructure, starting at 55 megawatts with plans to move to gigawatt scale using the NVIDIA DSX™ platform to rapidly design, build and scale full-stack, end-to-end AI platforms that can serve enterprises, industries and government.
NVIDIA RTX PRO Servers With Blackwell Coming to World’s Most Popular Enterprise Systems
NVIDIA today announced that the NVIDIA RTX PRO™ 6000 Blackwell Server Edition GPU is coming to the world’s most popular enterprise servers, speeding the shift from traditional CPU systems to accelerated computing platforms.
NVIDIA Builds World’s First Industrial AI Cloud to Advance European Manufacturing
NVIDIA today announced it is building the world’s first industrial AI cloud for European manufacturers. This Germany-based AI factory will feature 10,000 GPUs, including through NVIDIA DGX™ B200 systems and NVIDIA RTX PRO™ Servers, and enable Europe’s industrial leaders to accelerate every manufacturing application, from design, engineering and simulation to factory digital...
NVIDIA DGX Cloud Lepton Connects Europe’s Developers to Global NVIDIA Compute Ecosystem
NVIDIA today announced the expansion of NVIDIA DGX Cloud Lepton™ — an AI platform featuring a global compute marketplace that connects developers building agentic and physical AI applications — with GPUs now available from a growing network of cloud providers.
Europe Builds AI Infrastructure With NVIDIA to Fuel Region’s Next Industrial Transformation
NVIDIA today announced it is working with European nations, and technology and industry leaders, to build NVIDIA Blackwell AI infrastructure that will strengthen digital sovereignty, support economic growth and position the continent as a leader in the AI industrial revolution.
NVIDIA Announces DGX Cloud Lepton to Connect Developers to NVIDIA’s Global Compute Ecosystem
NVIDIA today announced NVIDIA DGX Cloud Lepton™ — an AI platform with a compute marketplace that connects the world’s developers building agentic and physical AI applications with tens of thousands of GPUs, available from a global network of cloud providers.
Foxconn Builds AI Factory in Partnership With Taiwan and NVIDIA
NVIDIA and Foxconn Hon Hai Technology Group today announced they are deepening their longstanding partnership and are working with the Taiwan government to build an AI factory supercomputer that will deliver state-of-the-art NVIDIA Blackwell infrastructure to researchers, startups and industries.
NVIDIA Blackwell GeForce RTX Arrives for Every Gamer, Starting at $299
NVIDIA today announced the NVIDIA GeForce RTX™ 5060 family of GPUs, including two graphics cards that deliver neural rendering and NVIDIA Blackwell architecture innovations for every gamer — starting at just $299.
Memory and Advanced Packaging
<p>Challenges increase significantly with chiplets and coherency. </p> <p>The post <a href="https://semiengineering.com/verifying-networks-on-chip/">Verifying Networks On Chip</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
<p>Intel's expansion; Cadence AI super agent for PCB, advanced packaging; photonics fab wars; earlier Yongin fab; German funding; new CHIPS Act award; HBM standard; Quadric funding; AMS acquisition; earnings; Rapidus teams up.</p> <p>The post <a href="https://semiengineering.com/chip-industry-week-in-review-147/">Chip Industry Week In Review</a> appeared first on <a href="ht...
Foundry, Tools, and Capex
Can Fine-Pitch Hybrid Bonding Go High Volume?
<p>Hybrid bonding already works in production, but finer-pitch die-to-wafer integration must preserve fab-level surface and alignment control at back-end volumes and costs. </p> <p>The post <a href="https://semiengineering.com/can-fine-pitch-hybrid-bonding-go-high-volume/">Can Fine-Pitch Hybrid Bonding Go High Volume?</a> appeared first on <a href="https://semiengineering.co...
Unrouted Items
NVIDIA and SK hynix Announce Multiyear Technology Partnership to Advance Memory for AI Factories
NVIDIA and SK hynix today announced a multiyear technology partnership to advance next-generation memory for the global AI factory buildout and accelerate semiconductor design and manufacturing.
SK Telecom and NVIDIA Build AI Infrastructure to Power Korea’s AI Innovation
NVIDIA and SK Telecom today announced that SK Telecom plans to build a gigawatt-scale AI Cloud in Korea using the NVIDIA DSX™ platform, with the first AI factory coming online in 2027.
NVIDIA and Global Telecom Leaders Commit to Build 6G on Open and Secure AI-Native Platforms
NVIDIA today announced a commitment — together with Booz Allen, BT Group, Cisco, Deutsche Telekom, Ericsson, MITRE, Nokia, OCUDU Ecosystem Foundation, ODC, SK Telecom, SoftBank Corp. and T-Mobile — to build the world’s next generation of wireless networks on AI-native, open, secure and trustworthy platforms.
NVIDIA today announced a collaboration with Palantir Technologies Inc. to build a first-of-its-kind integrated technology stack for operational AI — including analytics capabilities, reference workflows, automation features and customizable, specialized AI agents — to accelerate and optimize complex enterprise and government systems.
NVIDIA Partners With Novo Nordisk and DCAI to Advance Drug Discovery
NVIDIA today announced a collaboration with Novo Nordisk to accelerate drug discovery efforts through innovative AI use cases. The work supports Novo Nordisk’s agreement with DCAI to use the Gefion sovereign AI supercomputer.
Siemens and NVIDIA Expand Partnership to Accelerate AI Capabilities in Manufacturing
Siemens and NVIDIA announced today an expansion of their partnership to accelerate the next era of industrial AI and digitalization and enable the factory of the future.
NVIDIA Partners With Europe Model Builders and Cloud Providers to Accelerate Region’s Leap Into AI
NVIDIA GTC Paris at VivaTech—NVIDIA today announced that it is teaming with model builders and cloud providers across Europe and the Middle East to optimize sovereign large language models...
NVIDIA Powers Europe’s Fastest Supercomputer
NVIDIA today announced that the JUPITER supercomputer, powered by the NVIDIA Grace Hopper™ platform, is the fastest in Europe — delivering a more than 2x speedup for high-performance computing and AI workloads compared with the next-fastest system.
NVIDIA RTX PRO Servers Speed Trillion-Dollar Enterprise IT Industry Transition to AI Factories
NVIDIA today announced it is speeding the trillion-dollar IT infrastructure transition to enterprise AI factories with NVIDIA RTX PRO™ Servers and a new NVIDIA Enterprise AI Factory validated design for building data centers that deliver universal acceleration for AI, design, engineering and business applications.
NVIDIA Launches AI-First DGX Personal Computing Systems With Global Computer Makers
NVIDIA today announced that Taiwan’s leading system manufacturers are set to build NVIDIA DGX Spark and DGX Station™ systems.
NVIDIA and the Kingdom of Saudi Arabia (KSA) today announced partnerships to transform the country into a global powerhouse in AI, cloud and enterprise computing, digital twins and robotics.
HUMAIN and NVIDIA Announce Strategic Partnership to Build AI Factories of the Future in Saudi Arabia
HUMAIN, the new full AI value chain subsidiary of Saudi Arabia’s Public Investment Fund, today announced a landmark strategic partnership with NVIDIA, the world leader in AI computing infrastructure, to drive the next wave of artificial intelligence development.
NVIDIA Introduces HGX-2, Fusing HPC and AI Computing into Unified Architecture
GTC Taiwan—NVIDIA today introduced NVIDIA HGX-2, the first unified computing platform for both artificial intelligence and high performance computing.
How Architecture Firm WBCM Is Moving to 100% Virtualization
<p>Small IT teams often have to play big to keep up with their firm’s global operations. That’s the case at Whitney Bailey Cox & Magnani, LLC (WBCM), an architecture, engineering and construction services group that designs and builds projects for the U.S. Army Corps of Engineers, the NFL’s Baltimore Ravens, Lockheed Martin, the Ritz-Carlton and […]</p> <p>The post...
Rendering Made Easy: Iray Server Makes Light Work of Complex Designs
<p>Ever wish you could harness the power of an entire network of workstations to make light work of your most complex designs? Now you can, with Iray Server, our distributed rendering software. Available for a free 90-day trial starting today, Iray Server coordinates a network of machines as a “cluster” to speed the creation of… <a href="http://blogs.nvidia.com/blog/20...
More Users, Better Performance: NVIDIA GRID Boosts Blast Extreme in VMware Horizon
<p>What IT department wouldn’t want to be able to do more with their current infrastructure? With NVIDIA GRID, they can. NVIDIA GRID acceleration of Blast Extreme — a new protocol for optimizing the mobile cloud — is now supported in VMware Horizon 7. What’s that mean for IT managers? Reduced latency. Improved performance. And up… <a href="http://blogs.nvidia.com/blog/...
How Virtual Reality Is Making the Leap into Everyday Life
<p>Headlines about virtual reality often focus on how it’s upending the world of gaming. But VR is also revolutionizing fields across everyday life — areas like medicine, architecture, education, product design and retailing. A great example is Audi’s new virtual showroom where you can explore each of their models in vivid detail through VR. The German… <a href="http:/...
AMD Commits up to £2 Billion to Accelerate AI Innovation and Research in the United Kingdom
AMD Announces More Than $10 Billion in Taiwan Ecosystem Investments to Accelerate AI Infrastructure
AMD Gives Consumers and Businesses More AI PC Options with Expanded Ryzen™ AI 400 Series Portfolio
Data Center Chokepoints Tied To AI, Political Pressure, Supply Chain
<p>Technical, political, and supply chain challenges are complicating data center buildouts around the U.S.</p> <p>The post <a href="https://semiengineering.com/data-center-chokepoints-tied-to-ai-political-pressure-supply-chain/">Data Center Chokepoints Tied To AI, Political Pressure, Supply Chain</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engi...
Why Metal TIM Warpage Simulations Fail—And How To Fix Them
<p>Characterizing the properties of thermal interface materials under actual application conditions. </p> <p>The post <a href="https://semiengineering.com/why-metal-tim-warpage-simulations-fail-and-how-to-fix-them/">Why Metal TIM Warpage Simulations Fail—And How To Fix Them</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
From Feature-Scale Simulation To Digital Twins: Helping Process Engineers Tackle Growing Complexity
<p>Physics-grounded workflows help process teams to explore, understand, and act on a rapidly expanding innovation space.</p> <p>The post <a href="https://semiengineering.com/from-feature-scale-simulation-to-digital-twins-helping-process-engineers-tackle-growing-complexity/">From Feature-Scale Simulation To Digital Twins: Helping Process Engineers Tackle Growing Complexity</...
Optimizing The Nano-TSV-to-BPR Connection In Backside Power Networks
<p>A realistic virtual model uncovers the impact of rounded corners on sensitivity to overlay-induced resistance. </p> <p>The post <a href="https://semiengineering.com/optimizing-the-nano-tsv-to-bpr-connection-in-backside-power-networks/">Optimizing The Nano-TSV-to-BPR Connection In Backside Power Networks</a> appeared first on <a href="https://semiengineering.com">Semicondu...
New Nonvolatile Memory Winners Emerge
<p>RRAM, MRAM have promising futures, while FeRAM lurks, and UltraRAM plans a debut. </p> <p>The post <a href="https://semiengineering.com/new-nonvolatile-memory-winners-emerge/">New Nonvolatile Memory Winners Emerge</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Power
23 power layer items collected on 2026-07-20; data center load, grid, generation, and cooling signals routed.Data Center Power Demand
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...
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
Cambridge, MA (June 17, 2026) – GE Vernova Inc. (NYSE: GEV) today released its 2025 Sustainability Report, demonstrating continued progress toward its mission to electrify the world to thrive and decarbonize, with an emphasis on moving bold and innovative breakthrough
Unrouted Items
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...
GE Vernova powers Africa’s industrialisation with integrated energy solutions
CAPE TOWN, South Africa (June 17, 2026) – In line with the Africa Energy Forum’s theme, ‘Building Africa’s industrialized Future,’ GE Vernova Inc. (NYSE: GEV) today showcased its comprehensive portfolio of technologies engineered to translate large-scale infrastructure ambitions into operational
GE Vernova to deliver pumped-storage technology for India’s 1.35 GW Upper Sileru hydropower plant
VADODARA, INDIA (May 4, 2026) – GE Vernova Inc. (NYSE: GEV) announced today that it has secured an order from Megha Engineering & Infrastructures Limited (MEIL) to deliver nine 150 MW pumped-storage units for the 1.35 GW Upper Sileru hydropower plant, located in the state of
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