Daily brief
July 15, 2026.
70 quantum research items collected on 2026-07-15; hardware, control, and industry signals routed.
Quantum
70 quantum research items collected on 2026-07-15; hardware, control, and industry signals routed.Hardware and Error Correction
Logical Entangling with Phantom Codes in Hypergraph Products
Logical entangling gates are a major source of physical spacetime overhead in fault-tolerant quantum computation. Phantom codes reduce this cost by implementing every ordered in-block logical CNOT through physical qubit permutations and Pauli-frame updates. Whether this mechanism can coexist with the low-weight stabilizer structure of qLDPC codes is a central question for lo...
Heisenberg-limited metrology in the presence of non-Markovian noise with finite control rates
Recently, it has been shown that protocols utilizing infinitely fast controls, such as quantum error correction, can in principle restore Heisenberg-limited frequency estimation in the presence of a broad class of non-Markovian noise models arising from coupling to finite-dimensional environments. However, these controls differ substantially from those used to address Markov...
Quantum key distribution (QKD) promises information-theoretically secure communication, but future networks must bridge fiber and free-space links that naturally employ different photonic encodings, namely time-bin in fiber and polarization in free space. Here we demonstrate a complete hybrid fiber and free-space QKD link that bridges both media within a single end-to-end pr...
When Close Enough Is Not Enough: Autoregressive Drift in Quantum Circuit Synthesis
Quantum circuit optimization for fault-tolerant computing requires exact functional equivalence while minimizing expensive non-Clifford resources such as T gates. We study this problem using a compact 44.8M-parameter encoder-decoder transformer with structured circuit tokenization, evaluating on parameterized circuits (2-6 qubits) and Clifford+T circuits (3-6 qubits). On par...
Accurate knowledge of the microwave power delivered to a cryogenic device under test (DUT) is essential for the characterization and operation of superconducting quantum circuits. However, this information is difficult to obtain inside dilution refrigerators because of distributed attenuation, impedance mismatch, switch-path repeatability, and temperature-dependent microwave...
Emergence of drifted diffusion in quantum walks with subspace restart
Restart of a quantum process is typically modeled as a global reinitialization that erases the system's entire history. Here we introduce subspace restart, a protocol that periodically resets only the internal degrees of freedom while preserving the spatial distribution, as a tunable knob for the quantum-to-classical crossover. Using the discrete-time quantum walk as an exam...
Entanglement and Optical Nonreciprocity in spontaneous Raman Scattering
Inelastic light scattering is a central tool for sample characterization and label-free imaging across the physical and life sciences. Recent work has suggested that scattered light can also exhibit nonclassical correlations. Here, we develop a microscopic theory of Raman scattering that connects naturally to established descriptions of entangled-photon generation in three-...
Collective-State Preparation in a Subwavelength Triangular Trimer Using SUPER Excitation
The Swing-UP of quantum EmitteR population (SUPER) scheme has recently been proposed as a deterministic method for the preparation of collective radiative states in two strongly dipole-coupled quantum emitters (Phys. Rev. Res. \textbf{8}, 013179 (2026)). Here, we extend this approach to an equilateral subwavelength triangular trimer of dipole-coupled two-level quantum emitte...
Control and Quantum-AI Integration
Expressibility and trainability of a two-dimensional pairwise quantum-circuit ansatz
Parameterized quantum circuits~(PQCs) constitute a central building block of variational quantum algorithms~(VQAs) and quantum machine learning~(QML) methods. Existing ansatz designs often adopt hardware-agnostic or simplified 1D chain/ring entanglement patterns. However, as quantum hardware continues to develop, native 2D connectivity patterns, such as planar superconductin...
A Noise-Aware Quantum Algorithm for Credit Valuation Adjustments on Real Quantum Hardware
Credit Valuation Adjustment (CVA) requires repeated risk-neutral expectation estimation, making it a natural test bed for quantum amplitude estimation, whose coherent amplification can in principle reduce Monte Carlo sampling cost. Whether this advantage survives realistic financial encoding and noisy hardware remains open. We develop an end-to-end, noise-aware quantum workf...
An Agentic Formalization for Certified Quantum Neural Network Design
A central model in quantum machine learning is the quantum neural network (QNN), whose design requires balancing expressivity and trainability. Technically, expressivity is studied through circuit-function analysis, such as quantum signal processing, while trainability is analyzed using dynamical-Lie-algebra (DLA) methods. To support certified QNN design, we formalize these...
Maximal Classicalization of Finite-Group Quantum Reference-Frame Noise
A finite quantum reference token with group-valued misalignment induces a random-unitary channel, but optimal degradation is generally an optimization over all quantum post-processings. For a unitary representation U of a finite group G, we prove that the following conditions are equivalent: U contains every irreducible type; one ancilla-assisted input has an orthonormal G-o...
Detecting Phishing in Ethereum Networks using Quantum Machine Learning
This article explores the potential of Quantum Machine Learning (QML), specifically assessing a Quantum Support Vector Machine (QSVM) and a Variational Quantum Classifier (VQC) for detecting anomalies in real-world financial transaction data. While these QML methods outperform statistical methods, they fall short of cutting-edge deep learning techniques. To bridge this gap,...
A Variational Surrogate Approach to Finite-Horizon Quantum Control via Hardware-Efficient Ansatz
We present a variational quantum framework for finite-horizon quantum control based on hardware-efficient ansätze. The objective is to steer a quantum system from a given initial state to a desired target state over a fixed time horizon by minimizing a terminal cost defined in terms of state fidelity. Instead of explicitly synthesizing time-dependent control fields or enforc...
Forked Physics-Informed Neural Networks for Non-Markovian Open Quantum Dynamics and Control
Physics-informed neural networks (PINNs) provide a pathway to reunify the simulation and control of quantum systems, in which these two tasks are typically decoupled in traditional strategies. However, most work remains confined to Markovian environments. When applied to non-Markovian systems, standard PINN architectures fail to converge reliably due to multi-objective optim...
Benchmarking loss functions for trainable quantum feature maps
Many quantum machine learning models employ quantum feature maps to encode classical data into quantum states. While fixed feature maps often lack sufficient expressivity for complex nonlinear classification tasks, trainable quantum feature maps (TQFMs) enable adaptive quantum kernels with enhanced learning capability. Different loss functions can induce distinct optimizatio...
Commercial and Industry Context
High-fidelity entanglement of polar molecules by dynamic geometric control
In quantum information systems made of optical tweezer arrays of ultracold molecules, thermal motion of molecules degrades the coherence of their interactions, which limits entanglement fidelity and the concomitant scientific applicability of these systems. We show that by controlling the geometry of the dipolar interaction, even when a molecule occupies many motional states...
Spin Chain Quantum Communication on a Trapped-Ion Processor
Efficient communication between distant qubits is one of the central challenges in scaling quantum processors. Although engineered spin chain protocols have been extensively investigated theoretically, their experimental realization has remained comparatively limited. Here, we experimentally realize engineered quantum communication protocols through digitally simulated spin...
<p>National Tsing Hua University (NTHU) and Top Taiwan Venture Capital Co., Ltd. have officially launched the NTHU Future Fund. Announced during the 2026 Taiwan Venture Capital & Private Equity Annual Conference in Hsinchu, the public-private partnership establishes a long-term capital vehicle specifically tailored to guide deep-tech research outcomes from academic labor...
Jane Goodall Institute and FormationQ Launch Quantum-Enhanced Primate Behavior Study
<p>The Jane Goodall Institute (JGI) USA and quantum adoption firm FormationQ have announced a first-of-its-kind, two-year research partnership to apply quantum computing to behavioral ecology. Launching on World Chimpanzee Day, the program will explore how environmental and ecological variables influence whether primate societies evolve toward cooperation or intergroup confl...
Quantinuum, Rolls-Royce, Riverlane, and EPCC Partner to Accelerate Fluid Dynamics Simulations
<p>Quantinuum (NASDAQ: QNT), Rolls-Royce, Riverlane, and EPCC (the UK National Supercomputing Centre at the University of Edinburgh) have announced a multi-year collaboration to develop hybrid quantum-classical workflows. The partnership will focus on modeling complex computational fluid dynamics (CFD) for gas turbine design. [ Joint CFD Project Matrix ] Hardware Partner ──►...
QuiX Quantum Delivers “Carina” Core Hardware to DLR QCI for Universal Photonic Computing
<p>Photonic quantum hardware developer QuiX Quantum has announced the commercial launch and physical delivery of Carina, a universal photonic quantum computing architecture designed for data center deployment. Developed under the Universal Photonic Quantum Computer (UPQC) project for the German Aerospace Center’s Quantum Computing Initiative (DLR QCI), the room-temperature s...
IBM Reaffirms $10 Billion Quantum Push Despite Weak Preliminary Quarterly Results
<a href="https://thequantuminsider.com/2026/07/15/ibm-reaffirms-10-billion-quantum-push-despite-weak-preliminary-quarterly-results/" rel="nofollow" title="IBM Reaffirms $10 Billion Quantum Push Despite Weak Preliminary Quarterly Results"><img alt="IBM roadmap" class="webfeedsFeaturedVisual wp-post-image" height="792" src="https://thequantuminsider.com/wp-content/uploads/2026...
Classiq and ParityQC Partner to Optimize Quantum Circuit Execution
<a href="https://thequantuminsider.com/2026/07/15/classiq-parityqc-quantum-circuit-optimization/" rel="nofollow" title="Classiq and ParityQC Partner to Optimize Quantum Circuit Execution"><img alt="Classiq and ParityQC" class="webfeedsFeaturedVisual wp-post-image" height="712" src="https://thequantuminsider.com/wp-content/uploads/2026/07/2026-07-15_13-37.png" style="display:...
Unrouted Items
I derive the charged-particle spectral edge from the quantum instrument of soft QED. I use two projections of that instrument. Tracing over unresolved photons gives the reduced hard-sector channel. Pushing the outcomes to total energy gives the inclusive energy distribution. Its Laplace exponent is fixed by the diagonal soft intensity. For ${\rm d} N_h(ω)=η_h{\rm d}ω/ω+{\rm...
Fixed-Boost Wigner Noise: Strict Trace-Distance Contraction without Quantum Degradability
A Lorentz boost acts on the canonical spin of a massive particle through a momentum-dependent Wigner rotation. We show that, for one fixed observer boost, reducing over an uncertain momentum can strictly contract every pairwise spin-state trace distance without producing a channel that is degradable from the less contracted one. For spin $1/2$, we first characterize the exac...
A cryogenic neutral-atom platform with full optical access and 2-hour trap lifetime
Neutral-atom quantum processors are rapidly scaling toward system sizes of more than ten thousand qubits, allowing for the realization of a new class of quantum computing algorithms and quantum simulation experiments. However, current neutral-atom platforms generally have to find a compromise between the optical accessibility and the storage time of atoms in optical potentia...
The log log jam in Gaussian state tomography
Unlike in finite dimensions, quantum information in continuous-variable systems has the peculiar feature that without imposing physical constraints, the sample complexity of state tomography can be unbounded. Remarkably, this is even the case for state-of-the-art protocols for learning Gaussian states, which have finite-dimensional descriptions: the best known rates scale wi...
Nonreciprocal Quantum Mpemba Effect
We demonstrate a nonreciprocal quantum Mpemba effect. Consider a broad class of open quantum systems, each coupled to two isomorphic reservoirs through symmetric ports. Interchanging the parameters of the two reservoirs -- a discrete operation we call the swap -- turns the quantum Mpemba effect on or off without changing the initial states. The swap modifies the Liouvillian,...
Active Quantum Nematics: The First Quantization
Nematic symmetry entails conserved quantized quantities such as number of topological defects and vorticity cells. Correspondingly, countless quantum analogies have been found in Active Nematics. We formalize Active Nematics and Liquid Crystal theory into the framework of Quantum Mechanics by introducing a complex valued Nematic Wavefunction to the Beris Edward equations, th...
Ancilla-Depth Phase Diagrams for Quantum Reference-Frame Comparison
Comparing two noisy quantum reference frames as statistical experiments depends on the dimension of the ancillary memory available to the decision procedure. For finite-dimensional channels A and B with invertible A, we show that exact simulation of all measurements assisted by an r-dimensional ancilla is equivalent to r-positivity of the unique factor Gamma = BA^{-1}. The h...
Large sets of mutually orthogonal quantum Latin squares
How large can a set of mutually orthogonal quantum Latin squares (MOQLS) get? We show that a set of n - 2 MOQLS of order n is necessarily classical and construct large non-classical sets of MOQLS of orders that are prime powers, improving both the previously known lower and upper bounds.
Obstructions to Deformation Quantization of Bundles
Let $\left(M, \mathcal{O}_M \right)$ be a smooth algebraic variety over field $κ$ of characteristic $0$ with an algebraic symplectic form $ω$, or a complex manifold with a holomorphic form $ω$. Furthermore, let $E$ be a vector bundle over $\left(M, \mathcal{O}_M \right)$ and $\mathcal{O}_{\hbar}$ a deformation quantization of $\mathcal{O}_M$ compatible with $ω$. Assuming tha...
Unitary Synthesis with Near-Optimal T-Count for Near-Clifford Unitaries
We present an approach to unitary synthesis that implements an arbitrary $n$-qubit unitary operator $U$ by a Clifford+T circuit with T-count $\widetilde{O}(2^n d_F^{\mathcal{C}}(U))$, where $d_F^{\mathcal{C}}(U)$ is the Frobenius norm distance of $U$ to the Clifford group. The T-count is shown to be near-optimal when $d_F^{\mathcal{C}}(U)$ is a constant. Our approach improve...
A maximal Hohenberg-Kohn theorem for non-interacting systems via potential theory
In this paper, we show that for Schrödinger operators with weakly correlated ground states, the Hohenberg-Kohn theorem holds within the maximal class of form-bounded external potentials if and only if the single-particle density is positive quasi-everywhere. Furthermore, we show that these conditions are satisfied for the ground state of non-interacting Schrödinger operators...
Time-independent counterdiabatic driving for emergent two-level subspaces in many-body systems
We show that geodesic motion in the Riemannian manifold of quantum states provides a direct route to time-independent counterdiabatic driving. Using the relation between the counterdiabatic Hamiltonian and the quantum metric tensor, we prove that a constant-speed geodesic makes the Hilbert-Schmidt norm of the counterdiabatic Hamiltonian constant. For effective two-level syst...
We investigate dynamical quantum phase transitions (DQPTs) in finite-dimensional systems prepared in thermal equilibrium states and subjected to a sudden quench. A mixed-state Loschmidt amplitude is constructed from first principles within a metric-stationary pseudo-Hermitian framework, providing a self-contained derivation of the finite-temperature quench dynamics. Applying...
The resolution of the identity is typically utilized as a passive representation tool in standard quantum mechanics textbooks. In this paper, we reinterpret this traditional perspective by introducing the resolution of the identity associated with Glauber coherent states as a direct generator of exact complex Gaussian integral identities. By systematically projecting the con...
A Quantum Computing Approach to Track Reconstruction in Strip-Type Detectors
This study investigates the use of quantum annealing for particle track reconstruction in strip-type gaseous detectors. In such detectors, ghost hits and multiple hit combinations can turn pattern recognition into a combinatorial optimization problem. We formulate two reconstruction subproblems as quadratic unconstrained binary optimization problems. The first subproblem sel...
Thermally Activated Long-Range Entanglement from Non-Abelian Conservation Laws
Thermal noise ordinarily suppresses quantum entanglement. We show that a strong non-Abelian conservation law can convert local thermal fluctuations into an unbounded operational resource. For a broad class of finite-range $SU(2)$-invariant spin chains restricted to the global-singlet sector, an explicit representation-space protocol yields $Y_N=\frac12\log_2 N+O_β(1)$, and h...
Quantum PDE Solvers in Practice: Application-Driven Benchmarking of the Heat Equation
Quantum PDE solvers are difficult to evaluate in practice because published studies use different discretizations, output models, reconstruction rules, and hardware assumptions. We present a reproducible, application-driven benchmark for the 1-D Dirichlet heat equation that compares eleven kernels under the same problem instances and readout contract. The benchmark covers co...
Quantum metrology with undetected mid-infrared photons for applied non-destructive testing
Metrology with undetected photons is an emerging technique that leverages quantum effects and photon correlations (entanglement) to retrieve valuable information in a target spectral range (e.g., mid-infrared, mid-IR) using measurements in an easily accessible domain (e.g., visible, near-IR). The underlying quantum process of spontaneous parametric down-conversion (SPDC) is...
James-Stein estimation for quantum sensing schemes
Quantum metrology protocols typically consist of four steps: state preparation, evolution, measurement, and data processing. Often, the first three steps are prioritised when designing a scheme as they contain all the quantum elements. The data analysis is generally considered an add-on with an implicit assumption that this step is well behaved and so standard data technique...
Quantum tests via inequalities for joint statistics
In this work we derive statistical inequalities whose violation is equivalent to the impossibility of describing the data by a genuine joint probability distribution. So they are witnesses of the failure of a common probability space. We examine whether the most significant quantum quasidistributions violate these inequalities. We examine also whether these inequalitites are...
From phase space to Krylov space, one shell at a time
In this work, we develop and study the classical Lanczos algorithm allowing us to define Krylov complexity using the symplectic structure of phase space: Poisson brackets take on the role of the quantum commutators and phase-space integrals furnish the inner product needed to define the Lanczos recursion. We show, using general methods of quantum mechanics in phase space, th...
Entropy Transport in Programmable Quantum Junctions
We show that driven qubit junctions enable programmable control of physical entropy transport, with entropy conductance governed by quantum dynamics rather than by reservoir parameters alone. By comparing two simple quantum architectures -- a driven single-qubit junction and a driven two-qubit junction -- we find that the two-qubit junction enhances entropy transfer while re...
Thermally charged quantum batteries provide a stable and easy-to-have energy resource, but remain passive and therefore do not allow useful energy extraction on demand via unitary operations. We introduce a time-dependent stirring protocol that activates a thermally charged quantum battery through a time-dependent coupling to an auxiliary activator, thereby generating correl...
Large-scale Greenberger-Horne-Zeilinger~(GHZ) state is useful for quantum technologies but difficult to be prepared. Here, we propose fast measurement-based preparation of large-scale GHZ states by a four-qubit quantum phase gate with nuclear-spin qubits of alkaline-earth-like atoms, which is named as quantum ferromagnetic gate~(QFG) due to its analogy to the alignment of mo...
This manuscript investigates the possibility of defining a quantum Hamiltonian that leads to the same high-harmonic generation (HHG) spectra as those predicted by Floquet theory in the regime where the number of infrared (IR) pump photons is much larger than the number of emitted UV photons. The key assumption underlying our derivation is that the intensity of the emitted hi...
The Infinitesimal Structure of Quantum Information
This paper establishes a rigorous, unified geometric framework for quantum state spaces by constructing smooth, regular embeddings into higher-order dual number algebras $\mathcal{Q}_N \equiv \mathbb{R}[\varepsilon]/(\varepsilon^{N^2-1})$, wherein every quantum state is faithfully represented as a non-reduced scheme-theoretic point. We show that under this unified family of...
Methanol radio lines observed in space provide sensitive probes of whether the proton-to-electron mass ratio has changed over cosmic time, but such tests require laboratory rest frequencies with very high accuracy. Here we determine the frequency of the astrophysically important 12.2 GHz $3_{-1}$E -- $2_{0}$E transition of CH$_3$OH by measuring near-infrared rovibrational tr...
Quantum Weakest Preconditions Revisited: Pre-expectations for Expected Runtime Analysis
Quantum weakest preconditions are a fundamental tool for program verification of quantum programs. Many variations have been reported in the literature. We revisit quantum weakest preconditions from the perspective of expected runtime analysis of quantum programs and introduce a novel pre-expectation framework that enables to reason about the preconditions of quantum program...
Coherence enhancement of Rydberg polaritons
Quantum nonlinear optics by Rydberg polaritons can enable single-photon transistor and switch, single-photon source, and deterministic quantum information processing. A major hindrance in this study is the fast motional decoherence. Here, we devise a scheme to significantly enhance the coherence of Rydberg polariton by letting the atoms {\it remember} their velocities, or, a...
Sparse anisotropic positive maps for qutrit entanglement: exact indecomposability and PPT geometry
Positive but not completely positive maps provide one of the most direct ways to detect entanglement beyond the positive-partial-transpose (PPT) criterion. We introduce and analyze an exactly solvable two-parameter family of sparse bistochastic positive maps on qutrits, in which two coherence channels are independently tuned by parameters $w$ and $z$. The sparse structure ma...
The nitrogen-vacancy (NV) center in diamond can be operated as a microwave-dressed qubit. In the ideal two-level limit, its transition frequency is first-order insensitive to static magnetic fields, providing robustness against magnetic detuning noise. In practical diamond devices, however, residual transverse crystal strain mixes the $\ket{m_{s}=\pm1}$ spin sublevels and mo...
<p>Deutsche Telekom and the AIT Austrian Institute of Technology have been awarded two new Coordination and Support Actions (CSAs) by the European Commission to lead the development, standardization, and long-term scaling of the European Quantum Communication Infrastructure (EuroQCI). Under these complementary initiatives, Deutsche Telekom will coordinate the PETRUS2 project...
Yaqumo Expands Seed Extension Round with Backing from Government-Funded JIC VGI and Toyota
<p>Japanese hardware startup Yaqumo Inc. has secured an undisclosed capital expansion within its ongoing seed extension round, adding state-backed JIC Venture Growth Investments (JIC VGI) and Toyota Invention Partners (TIP) as new institutional shareholders. Executed via the streamlined J-KISS (Keep It Simple Security) convertible equity instrument, the deal bridges Japan’s...
A Superconductor’s Hidden Identity Revealed
<a href="https://thequantuminsider.com/2026/07/15/a-superconductors-hidden-identity-revealed/" rel="nofollow" title="A Superconductor’s Hidden Identity Revealed"><img alt="superconductor" class="webfeedsFeaturedVisual wp-post-image" height="637" src="https://thequantuminsider.com/wp-content/uploads/2026/07/superconductor.png" style="display: block; margin: auto; margin...
New Mexico Awards $1.2 Million to Six Quantum Technology Companies
<a href="https://thequantuminsider.com/2026/07/15/state-awards-1-2-million-to-grow-new-mexicos-quantum-sector/" rel="nofollow" title="New Mexico Awards $1.2 Million to Six Quantum Technology Companies"><img alt="New Mexico" class="webfeedsFeaturedVisual wp-post-image" height="710" src="https://thequantuminsider.com/wp-content/uploads/2026/07/2026-07-15_14-04.png" style="disp...
NSF Awards $15 Million to Connecticut Quantum Technology Engine
<a href="https://thequantuminsider.com/2026/07/15/major-nsf-award-to-turbocharge-quantum-tech-innovation-in-connecticut/" rel="nofollow" title="NSF Awards $15 Million to Connecticut Quantum Technology Engine"><img alt="QuantumCT" class="webfeedsFeaturedVisual wp-post-image" height="713" src="https://thequantuminsider.com/wp-content/uploads/2026/07/2026-07-15_13-51.png" style...
UC Berkeley Quantum Chip to Enter National Time Capsule For America’s 250th
<a href="https://thequantuminsider.com/2026/07/15/uc-berkeley-quantum-chip-to-enter-national-time-capsule-for-americas-250th/" rel="nofollow" title="UC Berkeley Quantum Chip to Enter National Time Capsule For America’s 250th"><img alt="Berkeley" class="webfeedsFeaturedVisual wp-post-image" height="512" src="https://thequantuminsider.com/wp-content/uploads/2026/07/berkeleyqua...
NSF Funds 12 New Regional Innovation Engines Including Quantum Technologies Initiative
<a href="https://thequantuminsider.com/2026/07/14/nsf-funds-12-regional-innovation-engines/" rel="nofollow" title="NSF Funds 12 New Regional Innovation Engines Including Quantum Technologies Initiative"><img alt="NSF Quantum" class="webfeedsFeaturedVisual wp-post-image" height="711" src="https://thequantuminsider.com/wp-content/uploads/2026/07/2026-07-14_22-29.png" style="di...
enQase Receives FIPS 140-3 Validation for Cryptographic Security Module
<a href="https://thequantuminsider.com/2026/07/14/enqase-receives-fips-140-3-validation-for-cryptographic-module/" rel="nofollow" title="enQase Receives FIPS 140-3 Validation for Cryptographic Security Module"><img alt="enQase logo - TQI" class="webfeedsFeaturedVisual wp-post-image" height="712" src="https://thequantuminsider.com/wp-content/uploads/2026/07/2026-07-13_19-09.p...
Chips
45 chip stack items collected on 2026-07-15; 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.
Foundry, Tools, and Capex
<p>PCIe ATS verification; physical AI; adopting AI EDA; custom AMBA Viz plugins; V2G; fab construction workforce.</p> <p>The post <a href="https://semiengineering.com/blog-review-july-15-3/">Blog Review: July 15</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
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
AI In Chip Design: Lots Of Promise, Plenty Of Unanswered Questions
<p>Where AI will be successful, who will benefit, and how that will affect the design process?</p> <p>The post <a href="https://semiengineering.com/ai-in-chip-design-lots-of-promise-plenty-of-unanswered-questions/">AI In Chip Design: Lots Of Promise, Plenty Of Unanswered Questions</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
<p>Customizing NPUs without sacrificing flexibility.</p> <p>The post <a href="https://semiengineering.com/ai-models-on-the-edge/">AI Models On The Edge</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
EDA/SIP Revenue Up 12.7%; APAC Roars Back
<p>Market strength remains in double digits for most categories.</p> <p>The post <a href="https://semiengineering.com/eda-revenue-up-12-7-apac-roars-back/">EDA/SIP Revenue Up 12.7%; APAC Roars Back</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
<p>Plenty of cash for AI and its enablers; 80 startups raise over $6B.</p> <p>The post <a href="https://semiengineering.com/startup-funding-q2-2026/">Startup Funding: Q2 2026</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
<p>There has never been a time when change has become something everyone expects. Now we are figuring out what it means to us individually.</p> <p>The post <a href="https://semiengineering.com/change-is-tough/">Change Is Tough</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Innovation First, AI Second: Lessons From SSN And The Future Of Test
<p>Human engineers created the breakthrough architecture; AI helps maximize its value.</p> <p>The post <a href="https://semiengineering.com/innovation-first-ai-second-lessons-from-ssn-and-the-future-of-test/">Innovation First, AI Second: Lessons From SSN And The Future Of Test</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Power
23 power layer items collected on 2026-07-15; 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...
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
GE Vernova Introduces GridOS® for Transmission and New AI Whitepapers at Orchestrate 2026
ATLANTA, GA., June 9, 2026 – GE Vernova (NYSE: GEV) today introduces GridOS for Transmission and released two new AI whitepapers addressing grid planning and autonomous grid-edge operations at Orchestrate 2026, the company's annual grid software conference bringing together utility leaders,
New Delhi, India (June 4, 2026) – GE Vernova Inc. (NYSE: GEV) announced today that it has signed an agreement with Powerica Limited to supply 28 of its 3.8 MW–154m* onshore wind turbines for the Botad Wind Farm in Gujarat, India. The 100 MW project marks the debut of GE Vernova’s 3.8 MW
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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