Daily brief
July 22, 2026.
70 quantum research items collected on 2026-07-22; hardware, control, and industry signals routed.
Quantum
70 quantum research items collected on 2026-07-22; hardware, control, and industry signals routed.Hardware and Error Correction
Dark matter searches with a 13 meV threshold superconducting sensor array
Many well-motivated dark matter models predict meV-scale energy deposits in interactions with terrestrial experiments, but this regime is challenging to probe due to a lack of mature single-quantum detectors. Here we report results from QUALIPHIDE (QUAntum LImited PHotons In the Dark Experiment), a cryogenic dark matter search using a $41$-pixel array of energy-resolving mic...
Steady States of a Single Trapped-Ion Spin Coupled to an Engineered Non-Markovian Bath
Quantum simulation of open quantum systems offers a pathway towards better understanding various non-equilibrium physics that would otherwise be challenging to study. Most open quantum systems studied are modeled as obeying the Markov approximation, where the bath into which the system dissipates information is assumed to be unaffected by the system-bath interaction. However...
Gaussian Boson Sampling for Asset Clustering in Statistical Arbitrage Portfolios
Gaussian Boson Sampling (GBS) provides a native photonic quantum heuristic for sampling dense subgraphs from adjacency matrices, offering a scalable physical approach to combinatorial graph search problems. Simultaneously, correlation matrix clustering algorithms, such as Spectral and SPONGE, have established robust benchmarks for identifying co-moving assets from correlatio...
Simultaneous calibration of rotation and phase errors in a single experiment
In weakly anharmonic qubits, coherent control errors take two generic forms -- over/under-rotation and phase errors -- whose suppression normally requires iterated experiments. We show that, for any symmetric $π/2$ pulse in the weak-driving regime, both follow from a single parametrization, $\mathcal{X}(π/2)=Z(δ)X(π/2+ε)Z(δ)$, that ties the rotation error $ε$ and the phase e...
Modern information systems increasingly require memory architectures capable of storing not only static data but also the evolution of information over time. While continuous-variable photonic platforms have been extensively studied for quantum communication and computation, their potential as dynamically evolving memory systems remains largely unexplored. In this work, we i...
Motional Kerr-Cat States of an Atom in an Optical Tweezer
Schrödinger cat states - quantum superpositions of classically or macroscopically distinct states - constitute a powerful resource for quantum computing, enhanced metrology, and probing coherence on large scales. Encoding such states in the phase space of an oscillator requires a nonlinearity, typically inherited from an auxiliary degree of freedom such as atomic spin or a J...
In recent years, chiral quantum optics has emerged as an active research area due to the promising applications in quantum information processing as well as nonlinear optics. We present results on the properties of the incoherent component of the transmitted light after transmons chirally coupled to a waveguide. The well-known resonance fluorescence of one chiral transmon re...
Quantum Reservoir Computing: Recent Advances and Future Directions
Quantum reservoir computing (QRC) uses the dynamics of a fixed or weakly tuned quantum system to transform temporal and sequential inputs into measured features, while training is typically confined to a classical readout. This separation reduces reliance on repeated quantum parameter updates and avoids the barren plateaus associated with variational circuit training. Its co...
Control and Quantum-AI Integration
We investigate the bound state properties of the hydrogen-like atoms in the radial screened Coulomb potential (RSCP). using three complementary analytical approaches - expectation values with Coulomb and Kratzer reference states, variational optimization with a scaled Kratzer basis, and the Hellmann-Feynman theorem - we derive approximate energy eigenvalues as function of th...
Enhanced NQS via Annealed Gradient Descent
Neural quantum states offer expressive representations of quantum many-body wave functions, yet their practical accuracy can be limited by stochastic optimization rather than representational capacity. Here we identify a finite-sample instability, termed subspace trapping, in which physically important configurations become strongly underestimated, remain absent from success...
Rydberg atoms have emerged as a versatile and efficient platform for high-sensitivity quantum sensing of free-space electric fields, with remarkable progress in detecting low-frequency signals. To date, low-frequency Rydberg receivers have relied on a constant bias field, typically realized via intra-cell electrodes or Rydberg plasmas generated by photoelectric effects or in...
Commercial and Industry Context
SoK: Adversarial Robustness of the Variational Quantum Eigensolver via Red-Teaming
The Variational Quantum Eigensolver (VQE) is a leading algorithm for estimating molecular ground-state energies on near-term quantum hardware, with applications spanning quantum chemistry, materials science, and drug discovery. As VQE workloads are increasingly deployed through cloud-based ``VQE-as-a-service'' pipelines, they become exposed to adversaries such as compromised...
Spontaneous optical emission of a randomly oriented chiral quantum source
We derive the form of the one-photon state of the electromagnetic field resulting from spontaneous optical emission of a randomly oriented chiral quantum source, including electric dipole, magnetic dipole, and electric quadrupole contributions to the radiation. We describe how spatial coherence in the emission can be exploited to reveal hidden information about the emitter....
Quantinuum and SoftBank Publish Framework Linking Quantum Hardware to Enterprise Use Cases
<p>In a joint white paper published today, Quantinuum (NASDAQ: QNT) and Japan-based telecommunications conglomerate SoftBank Corp. have outlined a strategic timeline mapping industrial quantum chemistry and graph analytics workloads directly onto Quantinuum’s multi-generational hardware roadmap. The publication, titled "Quantum Computing Frontiers," establishes a framework t...
SAXON Q Launches 100+ Qubit Diamond-Based Room-Temperature Quantum Computers
<p>German quantum computing startup SAXON Q has announced the commercial release of the SXQ128 (128 qubits) and the SXQ512 (512 qubits), marking the first diamond-based nitrogen-vacancy (NV) center quantum processors to exceed ten physical qubits. Spun out of Leipzig University, the company’s systems operate entirely at room temperature without requiring cryogenic refrigerat...
Photon Queue Raises $4M Oversubscribed Seed Round to Commercialize Room-Temperature Quantum Memory
<p>Quantum hardware spin-out Photon Queue has closed an oversubscribed $4 million seed funding round led by Palo Alto-based deep-tech venture firm Playground Global. Additional investors in the round include Cerberus Capital Management, Illinois Ventures, Roadrunner Venture Studios, and MFV Partners. Spun out of the University of Illinois Urbana-Champaign in 2024, the Champa...
Maybell Quantum Deploys Dilution Refrigerators at Roadrunner Quantum Lab
<p>Cryogenic infrastructure provider Maybell Quantum has announced a hardware and operational expansion into New Mexico, becoming the third major quantum equipment manufacturer to anchor the state's Roadrunner Quantum Lab (RQL). Headquartered in Denver, Colorado, Maybell will deploy a fleet of four dilution refrigerators at the Albuquerque-based facility, providing the ultra...
Joint Study by AWS, NVIDIA, LBNL, and NASA Establishes Framework for Quantum-HPC Integration
<p>A cross-institutional research team comprising scientists from Amazon Web Services (AWS), NVIDIA, Lawrence Berkeley National Laboratory (LBNL), and NASA has published a quantitative performance model to evaluate when quantum processing units (QPUs) must be tightly co-located with classical high-performance computing (HPC) supercomputers—and when standard remote cloud conn...
<p>Quantum infrastructure developer BTQ Technologies Corp. (Nasdaq: BTQ / Cboe CA: BTQ) has entered into a strategic collaboration with Texas-based power generation and data center developer TIDAL PWR. The partnership focuses on building a standardized, repeatable blueprint for integrating quantum processing units (QPUs) and post-quantum security protocols directly into next...
Unrouted Items
Natural and engineered classical systems are replete with examples of synchronization, understood as the adjustment of rhythms of physical systems. Such synchronization is at the heart of the stability of several classical technologies, such as mechanical bridges and electrical networks. Given the advent of quantum simulation and computation technologies, it is natural to st...
Perfect state transfer in Grover walks on normal Cayley graphs
A Cayley graph $\operatorname{Cay}(Γ,S)$ over a finite group $Γ$ is said to be normal if its connection set $S$ is a union of some conjugacy classes of $Γ$. This paper investigates perfect state transfer in Grover walks on normal Cayley graphs. The Grover walk is a widely studied discrete-time quantum walk. We establish a necessary and sufficient condition for the occurrence...
A general estimation framework for continuous-variable systems
We show that informational completeness, while sufficient to have a bijection between ideal measurement probabilities and quantum states, does not guarantee statistically stable reconstruction from finite measurement data. To address this problem, we develop a general estimation theory for continuous-variable systems in which stable reconstructibility is characterized by the...
Efficient quantum transport in disordered Floquet networks
We propose a mechanism for fast and efficient quantum transport through disordered networks with variable on-site energies, inspired by photosynthetic complexes. The mechanism relies on an interplay between inter-site couplings of the network and driving by external vibrations. Two design principles are shown to ensure close-to-perfect transport despite the disorder, namely...
The Limits of Quantum Computers for Power Flow
This letter proves realistic grid properties limit the applicability of quantum computers for power flow. Grids that split into two large regions meeting at only a few buses, common in transmission networks, force the pseudo condition number of the DC susceptance matrix to grow polynomially in the network size, and long chains of lines bridging such regions force quadratic g...
Teleportation Game: Quantum Teleportation in Multi-Agent Systems for Interactive Music
This paper introduces an interactive music system with quantum musical agents that communicate by teleporting quantum states to one another. Human performers interact in real time with agents whose melodic and rhythmic behaviours are encoded as quantum states using Single Qubit Probability Amplitude Modulation (SQPAM) and structured through Quantum Phase Estimation (QPE). Up...
Dynamical correlation functions of extensive charges after global quantum quenches
We investigate the $n$-time cumulant generating function (or $n$-Full Counting Statistics, $n$-FCS) of extensive $U(1)$ charges following a quantum quench. Exploiting space-time duality we characterise this function when evolving from initial states that are symmetric under the action of the charge. In particular, we show that if the correlations in time are sufficiently wea...
Experimental quantum cryptography with single photons and imperfect devices
Quantum key distribution (QKD) allows for provably secure key distribution between two trusted parties. Because the security and performance of QKD protocols rely on devices that behave according to specific assumptions, idealized or inaccurate assumptions about device behavior can introduce security loopholes. Real devices can never be perfectly characterized, and their per...
The Thermodynamic Geometry of Conditional Control
Information is widely regarded as the resource underlying the thermodynamic advantages enabled by conditional control. We show, however, that informational quantities such as Holevo information and accessible distinguishability, although constraining the achievable advantage, do not uniquely determine its thermodynamic value. The missing ingredient is a passive spectral rear...
Boundary quenches in (1+1)-dimensional conformal field theory
We investigate a class of local quantum quenches in which the conformal boundary condition of a (1+1)-dimensional conformal field theory is abruptly changed. We derive a remarkably simple and universal expression for the time evolution of one-point functions on the half-line. This result provides a direct description of the propagation of the disturbance generated by the que...
Dimension Reduction for Quantum Adaptive Agents
Adaptive agents realise complex reactive behaviours by using a memory of past input stimuli and output actions to guide structured future responses. Quantum adaptive agents can operate while storing less information in memory than optimal classical counterparts; yet, this does not necessarily translate into a reduced dimension of the memory that must be physically realised....
Nonlinear Response via Sublinear Optics
Sublinear optical response, in which the emitted field scales as a fractional power of the driving field, lies beyond the conventional perturbative hierarchy of nonlinear optics. Here, we show that such a response can be engineered in a hydrogen atom using tracking control. Rather than prescribing the driving waveform, the field is determined self-consistently from the evolv...
Quantum Circuits for Quantum Spatial Search on $d$-Dimensional Lattices
We propose an explicit quantum circuit for quantum spatial search based on discrete-time quantum walks on $d$-dimensional lattices. In this algorithm, the flip-flop shift operator moves the walker to a neighboring site along the selected spatial direction and reverses the corresponding direction label after the move. By encoding each pair of opposite directions so that they...
The arrow of time, irreversibility, equilibrium and measurement in quantum mechanics
Quantum mechanics is widely recognised as being incomplete. It is not consistent with the second law of thermodynamics and does not provide a scientifically credible physical account of the measurement process, the means by which coherence is broken and classically observable states are recorded. This had led to many ad hoc assumptions being used to account for various prope...
Quantum limits to chiroptical molecular discrimination
Discriminating enantiomer pairs is of central importance in the molecular sciences. The preferential interaction between chiral light and matter is commonly employed in this discrimination, despite fundamental challenges. Here we present quantitative error bounds for classifying the handedness of a chiral, randomly oriented, quantum optical emitter from the perspective of cl...
We present a rigorous perturbative analysis of the Szegedy quantum walk search algorithm on the complete graph with marked nodes, when a specific anomaly is present in the graph. This is motivated by the problem of monitoring the integrity of dense trusted communication networks with a quantum-assisted procedure. The topology of these networks is modeled as a complete graph,...
Quasi-Non-Hermitian Edge Bursts Induced by Nonuniform Loss
Non-Hermitian quantum walks on lossy lattices with open boundaries can exhibit an anomalous peak of the loss probability at the boundary, known as the non-Hermitian edge burst (NHEB). This phenomenon has been attributed to the combined effect of the non-Hermitian skin effect (NHSE) and a gapless imaginary spectrum. Here we investigate a class of models in which the NHSE is i...
Lower Bounds on Spectral Gaps of Parent Hamiltonians via Tensor Networks
Proving spectral gaps above the ground space is a central problem in quantum many-body physics. Yet, finding lower bounds on the gap is notoriously difficult. We revisit the martingale method, originally developed by Fannes, Nachtergaele, and Werner [Fannes '92, Nachtergaele '96] to prove the existence of spectral gaps of parent Hamiltonians of Matrix Product States (MPS), a...
How to improve the discrimination power of classically simulable measurements?
Classically simulable measurements (CSMs) constitute an important class of restricted measurements in the odd-prime-dimensional magic resource theory, referring to those measurements with positive discrete Wigner functions. Since their discrimination power is weaker than that of global measurements, it is necessary to study how to improve the discrimination power of CSMs. In...
The Bender--Brody--Müller (BBM) Hamiltonian was proposed as a non-Hermitian Hilbert--Pólya operator. We analyze the Hilbert completion induced, on the standard half-line $L^2$ core, by BBM's candidate metric $\hatη=\sin^2(\hat p/2)=Δ^\daggerΔ/4$. The form $η_0=Δ^\daggerΔ$ is positive with trivial kernel but is not coercive. Completing $C_c^\infty(0,\infty)$ in the norm $\|ψ\...
Bound Entanglement Is Insufficient for an Exponential Quantum Learning Advantage
While entanglement is known to enable exponential improvements in the sample complexity of quantum learning, it remains unclear which properties of entangled resources are responsible for such improvements. We address this question through the reduction criterion, a condition obeyed by all bound-entangled states. In $n$-qubit Pauli-channel learning, we show that restricting...
Four-spin ring (cyclic) exchange $J_{ring}$ is an essential ingredient of the Heisenberg spin Hamiltonian of cuprates and other square-lattice magnets, yet it has lacked the kind of direct, local first-principles extraction that the four-state method provides for bilinear exchange, $J$. We supply it by generalizing that method to a sixteen-state ($2^4$) scheme. Symmetry redu...
Coherent-disorder-driven complexity transitions in a quantum-advantage architecture
While decoherence is known to erode classical hardness in quantum random sampling, the impact of coherent spatial disorder remains an open question. We study a square-lattice instantaneous quantum polynomial-time (IQP) architecture subject to two-qubit gate-angle disorder and single-qubit dephasing using exact tensor-network simulations up to 576 qubits. For finite systems w...
Collective Coherent Perfect Absorption in a Synthetic Photon-Phonon Lattice
Coherent perfect absorption (CPA) has emerged as a powerful paradigm for controlling classical and quantum light, and has been demonstrated across a broad range of physical platforms. CPA realized in optomechanics relies on interference between the input field and the mechanically scattered field, but is intrinsically confined to the weak-cooperativity regime, resulting in a...
Current quantum computers do not yet have the required qubit resources to meet the demands of most practical quantum algorithms. To circumvent this constraint, the practice of dividing these algorithms into parts through quantum circuit cutting has been explored. Many of these works either show exponential scaling or are far from optimal solutions. In this paper, MosaiQC is...
Quantum Dynamics of $H_2^+$ in Orthogonal Two-Color Fields
We present full-dimensional quantum simulations of $H_2^+$ dissociative ionization driven by strong orthogonal laser fields. We consider equal-frequency orthogonal components, which generate elliptical or circular polarization depending on their relative phase and amplitude, as well as orthogonal $800$- and $400$-nm two-color fields. These two-dimensional fields strongly mod...
Quantum-Enhanced Multi-Objective Optimization
Multi-objective combinatorial optimization requires identifying Pareto-optimal trade-off solutions among conflicting objectives, often making it more demanding than its single-objective counterpart. Although quantum multi-objective optimization methods have begun to emerge, most existing quantum optimization workflows are still built around single-objective or fixed-scalariz...
Collective modes in non-Hermitian fermionic superfluids
The Higgs and Nambu-Goldstone modes are paradigmatic collective excitations in superconductors and superfluids. These modes are commonly analyzed within the pseudospin formulation of BCS theory, where the dynamics are obtained from the Heisenberg equations of motion for pseudospins. However, this construction becomes inconsistent when directly extended to non-Hermitian syste...
Simulating Majorana fermions in black hole with Ising Models
Quantum field theory (QFT) in curved spacetime has led to profound predictions, including the Unruh effect and Hawking radiation, yet their direct observation remains extraordinarily challenging because of their extremely weak signatures. Here, we show that the transverse-field Ising model provides a quantum simulator for Majorana fermions in a Schwarzschild black hole backg...
Quantum Sensing Beyond Exceptional Points via Hidden symmetry-protected vacuum-noise fixed point
Exceptional-point (EP) sensing has attracted considerable interest because of its anomalous response scaling. However, recent studies have shown that the enhanced response near an EP is inevitably accompanied by amplified quantum noise, fundamentally limiting the achievable signalto-noise ratio (SNR). Here, we propose a fundamentally different route toward non-Hermitian quan...
The complementarity principle is a cornerstone of quantum mechanics. In this work, we investigate a complementarity relation between the predictability and quantum coherence, respectively, representing the particle-like and wave-like behaviour in wave--particle duality, in a multi-path setup. We introduce a basis-dependent predictability defined by the Bures distance between...
Monogamy inequalities of entanglement of assistance in $2\otimes 2\otimes d$ systems
The monogamy relations characterize the distribution of quantum correlations among the multipartite quantum systems. We study the monogamy relations of the entanglement of assistance in $2\otimes 2\otimes d$ systems. We present explicitly the relations satisfied by the concurrence, the tangle and the concurrence of assistance, which can be used to derive rigorous monogamy re...
Dismantling the Stoquastic Dichotomy
We challenge the notion that a stoquastic binary governs fundamental computational boundaries in quantum computing and classical simulation of quantum systems. We argue that vanishing geometric phase (VGP), a geometric condition on the Hamiltonian's transition graph, more adequately captures these boundaries. To distinguish VGP from stoquasticity, we construct VGP 3-local Ha...
From Canonical to Tunable Phase Diagrams in Open Quantum Long-Range Systems
We investigate the dissipative dynamics of a generalized Lipkin-Meshkov-Glick (LMG) model coupled to a thermal environment. In this generalized model, in addition to the conventional quadratic interaction, one considers quartic interactions between spin-$1/2$'s coupled all-to-all and evolving in presence of a transverse field. Employing the usual linear Lindblad master equat...
State $k$-designs from Hamiltonian evolution
We study the generation of state $k$-designs from time evolution under a fixed Hamiltonian. Specifically, we consider the ensemble $\mathcal{E}=\left\{e^{-iHt}|ψ_0\rangle | \ t\sim \mathrm{Unif}[0,T],\, |ψ_0\rangle\sim \mathcal{E}'\right\}$, where the initial states are sampled from an ensemble $\mathcal{E}'$. For Hamiltonians drawn from the Gaussian unitary ensemble, we der...
QuantX Labs Achieves In-Orbit Commissioning of World’s First Space-Based Optical Frequency Comb
<p>South Australian deep-tech pioneer QuantX Labs has announced the successful in-orbit commissioning and operational verification of its space-qualified optical frequency comb. Supported by the Australian Space Agency's Moon to Mars Demonstrator Program, the achievement marks the first time an optical frequency comb has been deployed and successfully operated in the space e...
New Mexico Awards $1.2M to Expand State Quantum Cluster Across Six Tech Startups
<p>The Technology & Innovation Office (TIO) of Economic Development New Mexico has awarded $1.2 million in non-dilutive capital through the inaugural New Mexico Quantum Technologies Award. Divided into competitive $200,000 grants, the program funds early-stage hardware, optics, and software developers committed to expanding or establishing operational hubs in the state....
<p>The U.S. Department of Commerce’s Economic Development Administration (EDA) has selected The Bloch Quantum Tech Hub for a $30 million federal implementation award. Managed by the Chicago Quantum Exchange (CQE), the multi-state consortium spans Illinois, Indiana, and Wisconsin—a region referred to as the "Quantum Prairie". The federal award has unlocked an additional $25 m...
Main Sequence Promotes Alejandra Romero to Principal
<a href="https://thequantuminsider.com/2026/07/22/main-sequence-promotes-alejandra-romero-to-principal/" rel="nofollow" title="Main Sequence Promotes Alejandra Romero to Principal"><img alt="Main Sequence" class="webfeedsFeaturedVisual wp-post-image" height="887" src="https://thequantuminsider.com/wp-content/uploads/2026/07/Main-Ventures-1.png" style="display: block; margin:...
UK Government Puts AI at Cabinet Level as DSIT Is Dissolved, Raising Questions For Quantum Strategy
<a href="https://thequantuminsider.com/2026/07/21/uk-government-puts-ai-at-cabinet-level-as-dsit-is-dissolved-raising-questions-for-quantum-strategy/" rel="nofollow" title="UK Government Puts AI at Cabinet Level as DSIT Is Dissolved, Raising Questions For Quantum Strategy"><img alt="UK DSIT" class="webfeedsFeaturedVisual wp-post-image" height="887" src="https://thequantumins...
Chips
42 chip stack items collected on 2026-07-22; 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>Securing physical AI; agents need feedback; 3D-IC security; chiplet interoperability; RF digital twins.</p> <p>The post <a href="https://semiengineering.com/blog-review-july-22-3/">Blog Review: July 22</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
From Highways To Health Care: Portability Proves Key To Physical AI
<p>Success at the edge takes advantage of common threads — lithography, imaging, chiplets, and AI. </p> <p>The post <a href="https://semiengineering.com/from-highways-to-health-care-portability-proves-key-to-physical-ai/">From Highways To Health Care: Portability Proves Key To Physical AI</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</...
Foundry, Tools, and Capex
Monolithic 3D-DRAM with Oxide-Semiconductor Architecture (imec, KU Leuven, Samsung, Lam)
<p>Researchers from imec, KU Leuven, Samsung Electronics, and Lam Research published a technical paper titled “Optimization of 3D-DRAM Architecture with Oxide-Semiconductor Channel through Process and Device Simulation.” Abstract Excerpt: “We investigate a monolithically stackable OSC-based 3D-DRAM cell using an integrated framework combining process emulation, TCAD device s...
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
Silicon Starts with Proven IP: eBook
<p>Why IP strategy is now an architectural decision and how silicon-proven IP reduces integration risk, improves first-pass success, and accelerates time-to-market. </p> <p>The post <a href="https://semiengineering.com/silicon-starts-with-proven-ip/">Silicon Starts with Proven IP: eBook</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>...
<p>Thin TMD transistors; diamond defect detection; roll-to-roll litho.</p> <p>The post <a href="https://semiengineering.com/research-bits-july-21/">Research Bits: July 21</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Power
24 power layer items collected on 2026-07-22; 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...
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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