Daily brief
June 23, 2026.
70 quantum research items collected on 2026-06-23; hardware, control, and industry signals routed.
Quantum
70 quantum research items collected on 2026-06-23; hardware, control, and industry signals routed.Hardware and Error Correction
Emergent Andreev Reflection from a Lattice Duality Defect
Andreev reflection converts an incoming fermion into an outgoing hole and is usually tied to a superconducting interface. We show that an analogous charge-conjugating boundary condition emerges from a purely lattice duality defect. Starting from a Majorana representation of the transverse-field Ising chain, we construct a folded lattice model in which a boundary Majorana imp...
Multi-scale reconstruction of single-ion damage tracks in diamond via nitrogen-vacancy centers
Understanding particle-induced damage tracks in solid-state materials underpins emerging applications in rare-event detection and quantum defect engineering. Resolving these tracks requires multi-scale readout, from event localization at the millimeter scale to track-morphology reconstruction at the nanoscale. Nitrogen-vacancy (NV) centers in diamond provide such a platform,...
A quantum algorithm for one-shot signatures
We provide a pre-obfuscation circuit-level implementation of an efficient one shot signature scheme, which has known applications to delegated signatures, secured token transfer, and publicly verifiable randomness. The algorithm consists of two stages: a key generation stage where a classical public key/quantum secret key pair is produced, and a signing stage where the quant...
Efficient Energy-Constrained Semi-Device-Independent QRNG with an Integrated Heterodyne Receiver
Semi-device-independent QRNG frameworks represent a particularly attractive approach, combining strong security guarantees with high randomness generation rates while relying only on reduced and practical physical assumptions. A recently proposed approach based on photon-number constraints is particularly suited to photonic implementations, where these assumptions can be eas...
Chaos Generation and Control with Molecular Optomechanical System
Chaos is central to secure communication and physical random-number generation. Conventional cavity-optomechanical implementations, however, usually rely on weak single-photon optomechanical coupling and low-frequency mechanical modes, so access to deterministic chaotic dynamics often requires large driving power and careful suppression of thermal noise. Here we theoreticall...
Drawing on advances in superconducting qubit control schemes that unlock enriched native gate sets at the hardware level, we systematically examine how harnessing this enlarged physical two-qubit gate pool -- specifically CNOT and CXSWAP -- streamlines syndrome extraction for certain qLDPC codes with nonlocal stabilizers. Through an exhaustive search, we discover a set of qL...
Linear optical Bell state measurement for rotation-symmetric cat codes
Rotation-symmetric cat (RS-cat) codes are a bosonic-code platform for quantum information processing, combining finite-energy realizability with robustness against photon loss through their discrete rotational symmetry. For applications in long-distance quantum communication and fusion-based quantum computation (FBQC), efficient Bell state measurement (BSM) is a key primitiv...
All-optical Implementation of Generalized Quantum Teleportation
Measurement-based continuous-variable optical quantum computing inherently offers high-speed, large-scale operations, yet its practical performance remains constrained by the processing latencies and throughput bottlenecks imposed by classical electronic feedforward circuits. To overcome these limitations, we propose a loss-tolerant, all-optical feedforward (AOFF) architectu...
Control and Quantum-AI Integration
Energies of H, He-like ($Z=2-18$) ions, Li, and Be are investigated under a spherically symmetric Gaussian potential through a density functional formalism. The radial Kohn-Sham equation has been solved by invoking a work function-based exchange potential. The effect of electron correlation is analyzed by incorporating two functionals: a local parameterized Wigner functional...
Improved State Readout in NV Centers using Regression Models and Rabi Driving
Readout of state populations in nitrogen-vacancy centers from fluorescence measurements at room-temperature is routinely achieved via contrast-based calibration. The fidelities achieved by this conventional approach are limited by reducing the dynamical fluorescence behaviour of the NV center to a scalar value, and calculating the population of each possible state independen...
Quantum machine learning methods are increasingly explored for modeling complex environmental systems, including groundwater heat plume dynamics. In this work, we explore a Quantum Convolutional Neural Network (QCNN) as a surrogate model for predicting temperature variations in groundwater induced by geothermal heat pumps in the city of Munich. To comply with the scalability...
Adversarial Reinforcement Learning for Adaptive Eavesdropping in BB84 Quantum Key Distribution
BB84 quantum key distribution derives its security from a physical guarantee that any eavesdropper disturbs the channel in a statistically detectable way. Prior work evaluates this by assuming Eve attacks at a fixed, analytically optimized rate. We examine what happens when Eve is modeled instead as a learning agent. Classical reinforcement learning is used, specifically tab...
The Learning With Errors (LWE) problem constitutes the mathematical foundation of modern Post-Quantum Cryptography (PQC). Cryptanalysis of LWE ranges from classical lattice reduction to machine learning and quantum-classical hybrids. We propose CIM-BDD, a hybrid Bounded-Distance-Decoding solver that reduces LWE to a Quadratic Unconstrained Binary Optimization (QUBO) problem...
Isometrization of Tensor Network States via Gauge Propagation
We introduce a gauge-propagation approach for approximately converting generic tensor-network states into an isometric tensor-network state form with a prescribed orthogonality center. In one dimension, this propagation is exact because the non-isometric factor produced by a QR or singular-value decomposition is supported on a single virtual bond. In higher-dimensional netwo...
The empirical bitstring distribution is the most accessible observable on Rydberg-atom arrays, but the bipartite von~Neumann entropy it constrains is far costlier to obtain. We present a six-term linear closed form for the entropy, built on bitstring-derivable physics scalars, and characterize its accuracy, portability, scaling behaviour, and calibration cost. The feature se...
Commercial and Industry Context
Prethermal rotating-frame solid echo in a dipolar nuclear-spin network
Floquet prethermalization can endow interacting quantum solids with long-lived, approximately conserved quantities, enabling Hamiltonian engineering and new dynamical probes. Using a hyperpolarized network of dipolar-coupled $^{13}$C nuclear spins in diamond driven by pulsed spin-locking, we access a rotating-frame prethermal plateau with quasi-conserved transverse magnetiza...
Wess-Zumino terms in 0+1 SU(N) superspin systems
These notes present a self-contained introduction to Wess-Zumino (WZ) terms in quantum systems with $SU(N)$ symmetry, emphasizing the interplay between geometry, topology, and condensed-matter applications. We begin with the $SU(2)$ spin coherent-state path integral, where the Berry phase appears as a WZ term encoding the symplectic structure of the Bloch sphere. This exampl...
Protecting Qubits from Purcell Decay via Permanent Dipoles
Reading out a qubit often requires coupling it to a resonator, but that same resonator can also give the qubit an extra path to decay. Here, we study a way to reduce this loss using a built-in permanent electric dipole. The dipole shifts the cavity field in different directions for the qubit ground and excited states. This shift makes the relevant wave functions overlap less...
President Trump Signs Two Executive Orders on Quantum Technology
<p>President Donald J. Trump has signed two Executive Orders aimed at cementing American leadership in the quantum era. Together with their accompanying Fact Sheets, the directives lay out a strategy designed to protect the nation from advanced cryptographic attacks while simultaneously encouraging commercial and scientific quantum innovation. Here is a breakdown of key prov...
Podcast with Helmut Katzgraber, General partner at 55North
<p>Yuval Boger interviews Helmut Katzgraber, general partner at 55North and former quantum leader at AWS. They discuss Helmut’s view that the most promising near- to mid-term quantum applications are in quantum simulation for materials, chemicals, and pharma, rather than optimization. They also explore European competitiveness, venture opportunities across the quantum stack,...
Infleqtion Launches America’s Quantum Space Initiative to Develop Orbital Technology Infrastructure
<p>Neutral-atom developer Infleqtion (NYSE: INFQ) has launched America’s Quantum Space Initiative to accelerate the deployment of quantum technologies within the aerospace sector. The public-private coalition brings together a group of founding innovators, including Voyager Technologies, Monarch Quantum, Armada, and the University of Colorado Boulder. Operating through a col...
IBM Nighthawk Processor Validated in Quantum Chromodynamics and Cybersecurity Benchmarks
<p>Independent researchers from the IBM Quantum Network have published two separate technical studies validating real-world applications on the IBM Nighthawk quantum processor framework. Orchestrated through the RPI-IBM Future of Computing Research Collaboration, the peer-reviewed papers demonstrate scalable, hardware-native executions across particle physics simulations and...
Duke University and IonQ Demonstrate Tripartite Entanglement of Remote Atomic Qubits
<p>Researchers from the Duke Quantum Center and IonQ have demonstrated the distributed generation of a Greenberger–Horne–Zeilinger (GHZ) state across a three-node quantum network using individual trapped atomic ions. The experimental configuration consisted of three spatially separated hardware modules positioned approximately 2 meters apart, linked by 3-meter single-mode op...
Unrouted Items
Robust Structure Learning of $k$-local Lindbladians
We present an efficient protocol for learning an unknown $k$-local Lindblad generator on $n$ qubits using only product-state preparations, short-time evolution, and single-qubit Pauli measurements, without prior knowledge of the interaction structure. For fixed $k$ and bounded weighted interaction strength, the protocol estimates all Hamiltonian and dissipative Pauli--GKSL c...
Genuine certification of incompatible quantum instruments through sequential communication tasks
Quantum instruments constitute the general description of quantum dynamics, encompassing both quantum measurements and quantum channels as special cases. Consequently, the incompatibility of quantum instruments represents a fundamental manifestation of nonclassicality in quantum theory. Here, we establish the operational significance of this notion by demonstrating communica...
Log-concavity and tunneling: adiabatic quantum optimization for convex functions (with a spike)
Quantum tunneling is expected to provide a computational speedup in quantum computing, a phenomenon that Adiabatic Quantum Optimization (AQO) aims to leverage. While some academic proofs of concept have been studied, such as the "Hamming weight with a spike" (HWS) problem, the algorithmic gains of this effect remain underexplored. In this work we extend the analysis underlyi...
Random dimension reduction and learning symmetric properties of quantum states
We introduce a procedure called random dimension reduction that simultaneously reduces the dimensions of many, potentially distinct quantum states while preserving properties invariant under the tensor power action of an isometry. This provides a black-box method to replace the dimension with the maximum rank in the sample complexity of learning symmetric properties, even th...
Genuine Global Kochen-Specker Contextuality as Classical Coordination Cost
Classical simulations of quantum correlations can fail because no low-communication local hidden-variable model exists, or because no single noncontextual hidden state can explain all compatible measurement contexts. This manuscript studies a third regime: genuine global Kochen-Specker contextuality, where local subsystems are noncontextual and the tested multipartite blocks...
Structure-Aware Variance Reduction for Unbiased Randomized Hamiltonian Simulation
Randomized Hamiltonian simulation methods are often governed by a trade-off between systematic bias and sampling overhead. We study how classical variance-reduction techniques can be applied to such methods without changing their mean channel, and therefore without introducing additional bias. As a motivating unbiased estimator, we formulate continuous time-evolution probabi...
How Stark units enter SIC overlaps
It has been observed that the mutual scalar products of the vectors in a SIC-POVM are given by algebraic units, and at least in some cases by square roots of Stark units. The full picture is somewhat more complicated, especially if non-minimal SIC-POVMs are considered. We present a mixture of exact and numerical evidence suggesting that the overlap units are always products...
Dissipative preparation of Laughlin-like states
Fractional quantum Hall (FQH) states are a central paradigm of strongly correlated quantum matter and a key platform for topological quantum computation. Here, we propose a purely dissipative protocol based on local loss and pump channels for preparing Laughlin-like states at filling $1/3$, with a possible extension to other $1/M$ filling states. We show that Laughlin-like s...
Full-Field Mode Sorter for Optical Knots
Optical knots are topologically structured light fields whose phase or polarization singularities trace linked or knotted trajectories during propagation, making them promising candidates for high-dimensional optical information carriers. Their use in communication or quantum-information protocols, however, requires a practical readout method that can distinguish a chosen kn...
On the cryptographic potential of single-qubit rotations
In the domain of quantum communication, cryptographic protocols often require users to have access to trusted qubit sources or detectors. Recently, it was shown that on an architecture called the Qline, several protocols can equivalently be performed by parties capable only of single-qubit rotations. In this work, we introduce two composably secure constructions that togethe...
Bounding Classical and Quantum Correlations in Bayesian Networks with Quasiprobabilities
Bell's theorem reveals that quantum theory is in tension with classical causal reasoning and, in particular, the notion of local causality. This is now understood as a particular example of non-classicality in the study of correlations in (Bayesian) networks with both unobserved and observed nodes: the correlations are probability distributions over the observed nodes. There...
Precise knowledge of nuclear structure is essential across fundamental physics, yet probing these structures is notoriously difficult. To address this challenge, ultra-peripheral collisions (UPCs) provide a femtoscopic tomography for imaging the atomic nucleus. UPCs offer a pristine electromagnetic pathway: coherent vector-meson photoproduction generates patterns of diffract...
Irreversibility Enhances Quantum-Enhanced Markov-Chain Monte Carlo
Detailed balance underlies conventional Markov-chain Monte Carlo (MCMC) algorithms. Yet in classical systems, breaking detailed balance generates irreversible probability currents and can accelerate sampling. Whether irreversibility can similarly enhance quantum MCMC remains an intriguing question. Here we show that irreversibility provides a new route to improving the recen...
The adaptive nature of confirmation bias
In this paper, the phenomenon generally classified as confirmation bias is formulated on the space of square-root probabilities (or equivalently, using the structures of quantum probability). In this framework, observations are modelled by matrices, rather than random variables on a probability space. In the problem of binary hypothesis testing, an optimal evidence choice mi...
Fast quantum-state transfer in Su-Schrieffer-Heeger chains beyond the noninteracting regime
Shortcuts to adiabaticity have made topological edge-state transfer fast in the single-particle regime, but their extension to interacting systems is obstructed by nonlinear phase accumulation. We show that this obstruction can be removed in Su-Schrieffer-Heeger chains by making the next-nearest-neighbor shortcut hopping phase tunable. In the mean-field regime, this yields a...
We show that the Scarf I potential problem in a position-dependent mass background of the type $m(α;x) = (1 + α\sin x)^{-2}$, $0<α<1$, can be solved by using a point canonical transformation mapping the corresponding Schr\" odinger equation onto that of the Scarf I potential with constant mass. The inverse point canonical transformation then provides some exactly-solvable ra...
Matrix Product State (MPS) methods are among the most effective approaches for the classical simulation of quantum circuits, but their practical performance depends strongly on simulator hyperparameters, and default settings are often suboptimal. In this work, we propose a two-stage framework for automatic hyperparameter selection for quantum MPS simulation. In the first sta...
Quantum Key Distribution Without Shared Reference Frame Under Unital Noise
We consider a general and practical scenario of quantum key distribution (QKD) over an unknown, stationary, unital qubit channel. Furthermore, due to practical limitations, e.g., relative movement and rotation of communicating parties, a global shared reference frame cannot be established. This scenario can routinely appear in satellite QKD. We propose two methods to overcom...
Quantum Advantage in Tolerant Junta Testing
We establish the first super-polynomial quantum advantage for the tolerant junta testing problem in the adaptive setting. Specifically, we show that within a certain parameter regime, tolerant $k$-junta testing with high precision can be solved using $\mathrm{poly}(k)$ quantum queries, whereas any classical algorithm requires at least $k^{Ω(\log k)}$ queries. The problem of...
Entropic Uncertainty Relations for Mutually Unbiased Operator Frames
We develop an operator-frame formulation of entropic uncertainty relations in the Hilbert-Schmidt space of operators. For general continuous indexed operator frames, we derive an entropic uncertainty relation for the associated coefficient distributions by combining endpoint norm estimates with Riesz-Thorin interpolation. We then identify a distinguished class of mutually un...
We investigate the angular-time evolution -- a parameter-time evolution generated by the entanglement Hamiltonian -- for the bipartitioned ground state of the S=1 bilinear-biquadratic chain under the open boundary condition with the up edge spin. Using a matrix-product-state representation of the ground-state wavefunction, we calculate the angular-time spin correlation funct...
Understanding Squeezed States of Light Through Wigner's Phase-Space
This paper starts with the transition from classical physics to quantum mechanics which was greatly aided by the concept of phase space. The role of canonical transformations in quantum mechanics is addressed. The Wigner phase-space distribution function is then defined which arises from the formulation of the density matrix, followed by the harmonic oscillator in phase spac...
An Efficient and Perfect Secret Sharing Scheme on a Class of Non-Maximal Quantum Access Structure
Quantum secret sharing is one of the core security technologies in the field of quantum communication. Aiming at the problems of high quantum resource consumption and the difficulty in balancing security and efficiency existing in current quantum secret sharing schemes under non-maximal quantum access structure(QAS), this paper focuses on the judgment criteria of non-maximal...
Satellite Mission Planning with Rydberg Atoms
Quantum computers relying on cold atoms are being built and promise a high flexibility in the way information in encoded into the physical system. In particular, the analog mode is spiking interest in the field of optimization as a classically intractable number of configurations can be tackled. In this work, we investigate a problem that requires every-day scheduling of cri...
Wigner-Negative Magnon Steady States from Incoherent Qubit Pumping
We show that incoherently pumped qubits can realize a cascaded dissipative mechanism for stabilizing Wigner-negative magnon steady states. The mechanism combines qubit pumping with dispersive magnon-number selectivity to direct the steady-state population toward selected magnon Fock states. In the single-qubit case, the single-magnon population can approach unity, accompanie...
We investigate the thermodynamic performance of a quantum Otto machine whose working substance is a single electron confined in a double quantum dot under an external magnetic field and Rashba spin-orbit interaction. The Hamiltonian is controlled by the Zeeman splitting, the interdot tunneling amplitude, and the Rashba coupling, which induces spin-flip tunneling between loca...
High harmonic generation (HHG) is a highly nonlinear optical process in which radiation from a strong driving field is up-converted into its high-order harmonics. In atomic systems, this nonlinearity manifests itself through the intensity scaling of the emitted harmonics with the driving field strength. Despite the highly nonlinear nature of HHG, when the driving field is pr...
Lewis-Ermakov approach for the time-dependent two-level system
We construct an explicit Lewis-Ermakov-type dynamical invariant for time-dependent two-level systems by exploiting their algebraic correspondence with the time-dependent harmonic oscillator through the $su(2)$ and $su(1,1)$ algebras, which share the common complexification $sl(2,\mathbb{C})$. This invariant provides a closed-form evolution operator and an exact propagator fo...
We propose a measurement-like interferometric test of Continuous Spontaneous Localization (CSL), in which a trapped nanoparticle acts as a reversible mesoscopic pointer rather than as the initially prepared microscopic superposition. A microscopic two-branch system applies opposite weak forces to the nanoparticle, temporarily amplifying which-branch information into branch-c...
Generalization of catability for parity-less cat states
We extend the nullifier-based certification framework of catability from parity-defined coherent cat states to parity-less Kerr cat states. Since Kerr cats cannot be distinguished by parity alone, we replace the parity component of the original nullifier with a displaced-parity operator that captures their characteristic interference structure. The resulting generalized cata...
Nonlinear Geometrizability of State-Dependent Proto-Area in Approximate Holographic Codes
State-dependent proto-area data produced by approximate recovery need not be compatible with a single local bulk metric. Using recovery maps calibrated on the code channel and held fixed along a logical-state family, we derive exact finite-resolution criteria and, near the hyperbolic disk, necessary and sufficient conditions for a regular proto-area two-jet to arise from a m...
How Many Qubits Does a Quantum Computer Need?
<p>Guest post by Zeynep Koruturk, Dr. Kris Naudts, & Donald Harmitt of Firgun Ventures and Professor Bob Coecke of Relational Intelligence Limited Few questions in the quantum sector are asked more often, or answered more loosely, than how many qubits a useful quantum computer will require. Press releases announce systems with hundreds of qubits, then [...]</p> <p>The po...
The Quantum Industry Responds to Trump Administration’s New Executive Order
<a href="https://thequantuminsider.com/2026/06/23/the-quantum-industry-responds-to-trump-administrations-new-executive-order/" rel="nofollow" title="The Quantum Industry Responds to Trump Administration’s New Executive Order"><img alt="quantum executive order" class="webfeedsFeaturedVisual wp-post-image" height="482" src="https://thequantuminsider.com/wp-content/uploads/2026...
Trump Administration Executive Order Places Quantum at Center of Federal Technology Strategy
<a href="https://thequantuminsider.com/2026/06/22/trump-administration-executive-order-places-quantum-at-center-of-federal-technology-strategy/" rel="nofollow" title="Trump Administration Executive Order Places Quantum at Center of Federal Technology Strategy"><img alt="logo" class="webfeedsFeaturedVisual wp-post-image" height="1067" src="https://thequantuminsider.com/wp-con...
Trump Administration Expected to Issue Executive Order on Protecting Quantum Research
<a href="https://thequantuminsider.com/2026/06/22/trump-administration-expected-to-issue-executive-order-on-protecting-quantum-research/" rel="nofollow" title="Trump Administration Expected to Issue Executive Order on Protecting Quantum Research"><img alt="U.S.A. flag" class="webfeedsFeaturedVisual wp-post-image" height="1067" src="https://thequantuminsider.com/wp-content/up...
NTHU Researchers Develop World’s Brightest Room-Temperature Single-Photon Source
<a href="https://thequantuminsider.com/2026/06/22/nthu-researchers-develop-worlds-brightest-single-photon-source-for-quantum-technologies/" rel="nofollow" title="NTHU Researchers Develop World’s Brightest Room-Temperature Single-Photon Source"><img alt="NTHU Researchers" class="webfeedsFeaturedVisual wp-post-image" height="724" src="https://thequantuminsider.com/wp-con...
Europe Expands Quantum-GPU Computing as NVIDIA Announces 35 New AI Supercomputers
<a href="https://thequantuminsider.com/2026/06/22/europe-expands-quantum-gpu-computing-as-nvidia-announces-35-new-ai-supercomputers/" rel="nofollow" title="Europe Expands Quantum-GPU Computing as NVIDIA Announces 35 New AI Supercomputers"><img alt="NVIDIA" class="webfeedsFeaturedVisual wp-post-image" height="526" src="https://thequantuminsider.com/wp-content/uploads/2026/06/...
Chips
45 chip stack items collected on 2026-06-23; 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>Redesigning high-NA EUV; embedded liquid cooling; light wavelength analysis.</p> <p>The post <a href="https://semiengineering.com/research-bits-june-23/">Research Bits: June 23</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Cloud HPC For AI: Addressing Latency, Cost, And Scale At The Architectural Level
<p>Low-latency fabrics, topology-aware scheduling, and tiered memory bring compute closer to data and reduce coordination overhead. </p> <p>The post <a href="https://semiengineering.com/cloud-hpc-for-ai-addressing-latency-cost-and-scale-at-the-architectural-level/">Cloud HPC For AI: Addressing Latency, Cost, And Scale At The Architectural Level</a> appeared first on <a href=...
Mask Economics Shape High-NA EUV Adoption
<p>Rising mask costs, tighter high-NA requirements, and new materials challenges are forcing chipmakers to weigh litho choices against volume, design strategy, and total process cost.</p> <p>The post <a href="https://semiengineering.com/mask-economics-shape-high-na-euv-adoption/">Mask Economics Shape High-NA EUV Adoption</a> appeared first on <a href="https://semiengineering...
Event-Driven RL Targets Long-Horizon Fab Control
<p>Researchers from Politecnico di Milano and STMicroelectronics published a technical paper titled “Event-Driven Reinforcement Learning Enables Long-Horizon Control in Semiconductor Fabrication.” The paper proposes a deep reinforcement learning framework for multi-objective policy optimization in semiconductor manufacturing, where heterogeneous wafers move through hundreds...
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
New USB Standards: Benefits And Incompatibilities
<p>A roadmap for integrating different versions of the USB and eUSB.</p> <p>The post <a href="https://semiengineering.com/new-usb-standards-benefits-and-incompatibilities/">New USB Standards: Benefits And Incompatibilities</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Interference Risks In Processing-Using-DRAM (U. of Tokyo, ETH Zurich, CISPA, Riken)
<p>Researchers from The University of Tokyo, ETH Zurich, CISPA, and RIKEN published a technical paper titled “PuDGhost: Experimental Analysis of Computation Result Corruption in Processing-using-DRAM Operations on Real DRAM Chips and Implications for Future Systems.” Abstract excerpt: “We reveal PuDGhost, an interference phenomenon where a PuD operation in a given column pro...
Atom Probe Framework Tracks Phase Instability In Si-Doped Gallium Oxide (SUNY, Ohio State, LLNL)
<p>Researchers from University at Buffalo-SUNY, The Ohio State University, and Lawrence Livermore National Laboratory published a technical paper titled “Coordination-Sensitive Nanoscale Analysis of Defect-Driven Phase Transformation in Si-Doped (AlxGa1−x)2O3.” Abstract excerpt: “Defect-driven phase instability critically influences the structural reliability of ultraw...
Will Your Chip’s Memory Work As Expected?
<p>How to ensure that memory is fully tested and repaired.</p> <p>The post <a href="https://semiengineering.com/will-your-chips-memory-work-as-expected/">Will Your Chip’s Memory Work As Expected?</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>
Power
26 power layer items collected on 2026-06-23; data center load, grid, generation, and cooling signals routed.Data Center Power Demand
Data center server energy use grows across the commercial building stock
In the Annual Energy Outlook 2026 (AEO2026), our long-term outlook, we project electricity consumed by data center servers will increase across the commercial building stock, increasing more in standalone data centers than in all other data center rooms combined. By 2050, server consumption alone reaches between 446 billion kilowatthours (BkWh) and 818 billion BkWh. The high...
Commercial electricity sales have soared in Virginia, driven by data centers
Commercial electricity sales in Virginia increased by nearly 30.0 million megawatthours (MWh) between 2019 and 2025, much faster growth than in any other state except Texas, a much larger state, according to our Annual Electric Power Industry Report. The growth in sales of electricity in Virginia is largely driven by a concentration of data centers, as well as electric vehic...
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...
Coal remains competitive for power generation in the central United States
In the first four months of 2026, electricity, natural gas, and coal prices suggested continued favorable economics for coal generation in MISO. The dark spread of coal, the difference between the fuel costs for coal-fired generation and the wholesale electricity price, in the Midcontinent Independent System Operator (MISO) region outpaced a similar measure of revenue relati...
Electricity generation from solar could exceed coal in ERCOT for the first time in 2026
In our most recent Short-Term Energy Outlook (STEO), we forecast that annual electric power generation from utility-scale solar will surpass that from coal for the first time in 2026 within the electricity grid that covers most of Texas. Solar generation is expected to reach 78 billion kilowatthours (BkWh) in 2026 in the electricity grid operated by the Electric Reliability...
Coal distributions for non-electric power use decline in the South
The volume of coal delivered in the United States for uses other than power generation—primarily, for manufacturing—decreased by about half in the last 15 years. Coal delivered for these purposes in the South decreased the most in percentage terms between 2010 and 2025, falling 75%, or 14.7 million short tons (MMst), according to our Annual Coal Distribution Report and Quart...
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
Cooling and Electrical Infrastructure
Most planned natural gas pipeline capacity additions in 2026 and 2027 originate in Texas
Developers plan to bring approximately 44.9 billion cubic feet per day (Bcf/d) of new pipeline capacity online in the United States in 2026 and 2027, according to our latest Natural Gas Pipeline Projects Tracker. Approximately 70% (31.6 Bcf/d) of this new capacity is already under construction. More than 66% (29.7 Bcf/d) of the capacity additions originate in Texas. Louisian...
Markets and Policy
Natural gas for power generation flat this summer, record high expected in 2027
We forecast natural gas consumption by the U.S. electric power sector this summer will remain near recent highs and set a record next summer in our May Short-Term Energy Outlook (STEO). Despite a 2% increase in overall U.S. electricity demand this summer, we expect natural gas-fired electricity generation to be similar to last summer, primarily because of forecast increased...
Unrouted Items
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
The daily read, in your inbox
One brief a day across quantum, chips, and power. Primary sources only. Unsubscribe any time.