Frontier Signals

Daily brief · All editions

July 13, 2026

Sovereign AI buildouts crossed the gigawatt threshold simultaneously in Korea and Europe while CAISO confirmed solar generation structurally exceeded natural gas across the first five months of 2026, reshaping the power backdrop for AI factory siting.

The day's read · Automated read, not yet reviewed by a human

112 tracked items · 3 desks

The day's read

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Operator brief

  1. rising

    GW-scale sovereign AI is now a procurement event, not a forecast. NAVER is scaling from a disclosed 55 MW starting point to gigawatt targets using NVIDIA's DSX platform; SK Telecom announced a gigawatt-scale Korean AI cloud with a 2027 first-factory date. Two Korean majors committing to GW-class AI infrastructure on the same platform in the same reporting cycle signals a structural shift in national compute strategy, not incremental expansion. Operators sourcing large GPU clusters should expect 12-to-24-month power delivery queues in high-demand markets.

  2. rising

    AMD's EPYC "Venice" entering production at TSMC 2nm narrows the process-node gap with leading AI accelerators and gives hyperscalers the first 2nm-class server CPU in production. Paired with AMD's announced commitments of up to £2B in the UK and more than $10B in Taiwan, AMD is matching the geographic investment pattern of its primary competitor's sovereign AI playbook.

  3. blocker

    Grid composition is shifting faster than interconnect queues can absorb new load. CAISO solar exceeded natural gas generation from January through May 2026 (solar up 21%, gas down 60% year-over-year), and SunZia Wind adds 3,650 MW to the Western grid this month. AI factory siting in high-renewable Western markets now faces curtailment-risk timing as the primary constraint rather than generation scarcity.

Quantum

  • P1 EeroQ Validates CMOS-Controlled Electron Shuttling on Superfluid Helium

    Peer-reviewed experimental demonstration of selective 2D electron transport on superfluid helium using a commercial silicon (CMOS) control architecture.

    The read: Superfluid helium as a qubit substrate has long faced questions about CMOS compatibility; this publication removes one of the core engineering objections. If transport fidelity scales across larger arrays, this is a platform differentiation signal for a modality that has been largely lab-confined.

  • P2 Silicon-Germanium Heterostructures Achieve Valley Splitting of 1-5 meV

    Device-level optimization strategy demonstrated valley splittings in the 1-5 meV range in buried silicon quantum wells, described as exceeding nearly all prior reported values.

    The read: Valley leakage is a central decoherence mechanism in silicon spin qubits; a reproducible process-level solution at above-4K splitting would meaningfully simplify the error budget for shuttling-based architectures.

  • P2 Majorana Parity Qubit in Minimal Kitaev Chains

    Demonstration of fermion-parity-encoded qubits in quantum dot-superconductor arrays, with noise sensitivity expected to suppress exponentially with Majorana separation.

    The read: Topological protection via non-local parity encoding is the long-term argument for fault tolerance without massive qubit overhead. This adds a laboratory-scale data point on the platform's experimental viability.

Chips

  • P2 AMD EPYC "Venice" Enters TSMC 2nm Production

    AMD confirmed production ramp of its next-generation EPYC server CPU on TSMC 2nm process technology.

    The read: TSMC 2nm entering production for a high-volume server CPU is a process-node validation signal. Server CPU customers now have a 2nm-class option that also ties AMD's supply chain more deeply to TSMC's leading edge.

  • P2 3nm GAA-FET SRAM Self-Heating and Radiation Hardness Study (SJSU, Sandia)

    Technical evaluation of self-heating behavior and radiation hardness in 3nm gate-all-around SRAM across different substrate isolation techniques, including bottom dielectric isolation.

    The read: Radiation hardness data at 3nm is relevant for defense and aerospace AI deployments. Self-heating constraints at this node set upper bounds on achievable power density in dense AI SRAM caches and on-chip memory buffers.

Power

  • P1 CAISO Solar Exceeded Natural Gas Generation, January through May 2026

    Utility-scale solar outpaced natural gas generation in CAISO for the first five months of 2026; solar generation increased 21% versus the same period in 2024 and natural gas generation decreased 60%.

    The read: A 60% drop in gas generation in five months reflects both solar build-out and load response, not a temporary weather effect. For AI factory siting, this means renewable-backed power is now the base supply case in California. The risk shifts to curtailment timing and transmission access rather than generation availability.

  • P1 SunZia Wind Project (3,650 MW) Scheduled for Commercial Operations July 2026

    The SunZia Wind Project in New Mexico, with a net summer generating capacity of 3,650 MW and 916 turbines, is scheduled to begin commercial operations this month.

    The read: A single project adding 3,650 MW to the Western grid changes the near-term renewable supply picture materially. Whether this energy reaches AI factory loads or faces curtailment depends on transmission capacity to demand centers.

  • P2 China Nuclear Capacity Up 76% Since 2016, Expansion Continuing in 2026

    China added 24 GW of nuclear capacity between 2016 and 2024, with an additional 1.1 GW in 2025 and 2.2 GW through May 2026, per EIA and IAEA data.

    The read: China's nuclear build-out pace is not decelerating. Combined with continued wind and solar additions, this positions the country to supply firm, low-carbon power to data center loads well ahead of most Western market timelines.

  • P2 GE Vernova Kırklareli 852 MW HA-Class Plant Reaches Commercial Operations

    The 852 MW Kırklareli combined-cycle plant in Turkey began commercial operations, becoming the first HA-class plant in the country; developed by ENKA and GE Vernova.

    The read: HA-class turbine deployments in emerging market grids signal sustained demand for high-efficiency baseload gas in regions under capacity pressure. These same turbines are being ordered for data-center-adjacent power markets across Asia and the Middle East.

AI Compute

  • P1 NVIDIA and SK hynix Announce Multiyear AI Memory Technology Partnership

    Multiyear technology partnership to develop next-generation memory for global AI factory buildout and to accelerate semiconductor design and manufacturing between the two companies.

    The read: Memory bandwidth is the primary bottleneck for large AI accelerator clusters. A bilateral multiyear partnership between a dominant GPU platform and a leading HBM supplier signals that memory supply for next-generation AI factories is being managed at the partnership level rather than through spot-market procurement.

  • P1 NAVER Expands Sovereign AI Infrastructure from 55 MW Toward GW Scale

    NAVER will expand AI infrastructure using the NVIDIA DSX platform, starting at 55 MW with plans to scale to gigawatt levels.

    The read: 55 MW to gigawatt scale is a roughly 20x expansion factor. The announcement is a commitment, not a delivery. Whether power and facility timelines match the stated ambition is the operative variable to track.

  • P1 SK Telecom Plans GW-Scale AI Cloud in Korea, First Factory Online 2027

    SK Telecom announced plans to build a gigawatt-scale AI cloud in Korea using the NVIDIA DSX platform, with the first AI factory coming online in 2027.

    The read: Two Korean majors (NAVER and SK Telecom) committing to GW-class AI infrastructure on the same platform in the same week indicates a convergence in Korean national AI infrastructure strategy. The 2027 first-factory date is the nearest verifiable milestone.

  • P2 NVIDIA European Industrial AI Cloud: 10,000 GPUs for Manufacturing

    NVIDIA announced a Germany-based AI factory for European manufacturers with 10,000 GPUs including DGX B200 systems and RTX PRO Servers, targeting design, engineering, simulation, and digital twin workloads.

    The read: GPU cluster density for manufacturing AI workflows is now at AI-factory scale rather than workstation scale. For operators assessing industrial AI entry points, DGX B200-class infrastructure is the baseline reference configuration.

  • P2 AMD Commits Up to £2B in UK and More Than $10B in Taiwan AI Ecosystem Investment

    AMD announced up to £2B in UK AI research and innovation commitments and more than $10B in Taiwan ecosystem investments to accelerate AI infrastructure.

    The read: AMD is matching the geographic investment pattern of NVIDIA's sovereign AI announcements across the same markets in the same reporting cycle. The Taiwan figure is consistent with deepening TSMC 2nm production engagement.

Collected items by desk

Desk

Quantum

70 quantum research items collected on 2026-07-13; hardware, control, and industry signals routed.

All collected Quantum items (56)

Hardware and Error Correction

  • A Quantum Path to Partial Differential Equations

    Partial differential equations are a promising application area for fault-tolerant quantum algorithms, but the subject lies between two communities with different languages: numerical analysis and quantum computation. These lecture notes provide a numerically grounded introduction for readers entering from either field. Block encoding is the organizing principle: once a disc...

  • Lean-QIT: Towards a Formal Infrastructure for Quantum Information Theory

    Quantum information theory (QIT) characterizes the capabilities and fundamental limits of quantum information processing, underpinning quantum communication, computation, and error correction. Formalizing its coding theorems requires connecting finite-block protocols, analytic inequalities, and asymptotic limits within a unified machine-checked framework. Existing developmen...

  • Majorana parity qubit in coupled minimal Kitaev chains

    Majorana zero modes provide a route to fault-tolerant qubits by encoding information non-locally in fermion parity. Their sensitivity to noise is expected to decrease exponentially with increasing separation between the Majoranas, a suppression known as topological protection. Kitaev chains engineered in quantum dot-superconductor arrays provide a tunable platform in which s...

  • Superconducting singlet-triplet qubits

    Hybrid devices integrating quantum dots with Josephson junctions are gaining interest because they combine spin-based quantum computing with circuit quantum electrodynamics (circuit QED) methods. In particular, Andreev spin qubits have shown significant experimental progress including strong two-qubit coupling, and are predicted to exhibit all-to-all connectivity. Here we pr...

  • Speckle-based feedback control of optical dipole trap axial waist position

    Cold neutral atoms is a powerful tool for many experiments ranging from frequency standards and sensing to quantum simulations. Sensitive experiments often demand transferring cold atoms from one vacuum chamber to the other with better optical access and vacuum. In case the transfer is done with a beam waist controlled by a focus-tunable lens, repeatability of the transfer a...

  • Deterministic Generation of Linear Photonic Cluster States with Semiconductor Quantum Dots: A Detailed Comparison of Different Schemes

    Photonic graph states are key resource states for measurement based quantum information processing. As semiconductor quantum dots are excellent deterministic photon emitters, several protocols using them for the generation of linear cluster states have been proposed, either based on constant precession of a hole or electron spin in a weak magnetic field, or based on optical...

  • Quantum Scattering Model of Dual Parallel Mach Zehnder Electro Optic Modulators: General Formalism, Impairments, and Applications to Frequency-Bin Photonic Quantum States

    We present a quantum mechanical model of dual parallel Mach Zehnder electro-optic modulators (DPMZMs), derived using the quantum scattering formalism [1,2]. We obtain the complete, unrestricted transformation of single-photon and coherent input states through the DPMZM architecture, including independent radiofrequency drive conditions on each internal modulator, and recover...

  • Shadow-Based Noise Fingerprinting of Simulated Quantum Noise Models

    Accurate noise classification is essential for operating near-term quantum processors, yet existing approaches, such as quantum process tomography, scale exponentially with system size, limiting their practicality for routine calibration. We propose a scalable noise fingerprinting pipeline that combines structured classical shadow tomography with physics-informed feature eng...

Control and Quantum-AI Integration

  • Local Determinacy of Quantum Master Equations and a Mechanical Interpretation of the Multi-Mode Jaynes-Cummings and Central Spin Models

    We propose a novel formulation of master equations for open systems wherein the evolution of a state is determined solely by its local behaviour at any point of time. Specifically, our formulation allows for a local interpretation of the workings of beyond-Markovian dynamics as opposed to the more common conception that non-Markovian state evolution is affected by its cumula...

  • Generalized Nonlinear Imaginary-Time Evolution

    Imaginary-time evolution (ITE) is a powerful method for ground-state preparation of a given Hamiltonian. The normalized ITE can be viewed as a gradient flow of the energy expectation value with respect to the Fubini--Study metric. In this work, we propose a generalized nonlinear imaginary-time evolution (NITE) for more general quantum state-preparation tasks. We further pres...

  • A Semiclassical Gaussian Wavepacket Method for Non-Adiabatic Molecular Dynamics

    We introduce two non-adiabatic semiclassical methods that employ two coupled Gaussian wavepackets, each one traveling on a separate diabatic potential energy surface. The wavepackets take the form of thawed Gaussians and are driven by classical equations of motion which account for the diabatic coupling. The classical equations of motion are derived in one case by enforcing...

  • Qubit-Boson Hybrid Beam-Splitter Gate with Kerr Nonlinearity in Circuit QED for Many-Body Dynamics

    We introduce a hybrid qubit-boson beam-splitter gate in which a microwave cavity mode couples to an exchange-dressed two-level subsystem of an interacting two-qubit system in the presence of Kerr nonlinearity. Starting from a general circuit quantum electrodynamics (cQED) model, we derive the corresponding hybrid qubit-cavity interaction, develop its open-system description...

  • A combinatorial framework for clustering graph states: Algorithms and hardness for rank-integrity

    We introduce a new notion of distance between two graph states |G⟩ and |G'⟩ on the same set of qubits. This distance is the minimum number of ancilla qubits in a graph state |G⟩ from which both |G⟩ and |G'⟩ can be ``easily prepared''. (When preparing graph states, we are only allowed to use one-qubit Clifford gates, one-qubit...

  • Diagnosing quantum reservoirs at scale based on expressivity and coverage

    Quantum reservoirs offer a hardware-friendly route to quantum machine learning, replacing trainable circuits with fixed random dynamics and a classical readout. Because the reservoir is not optimized, performance depends entirely on the choice of reservoir family, yet existing diagnostics demand resources that grow exponentially with system size. We introduce a scalable, har...

  • Operational Shadows of Hilbert-Space Probabilities

    At one frozen setting, the probabilities observed in a sharp quantum context are indistinguishable, as detector-click statistics, from ordinary probabilities on the atoms of a classical partition. But an actual analyzer usually comes with a calibrated knob: a tangible handle on the apparatus. If the measurement configuration is co-varied continuously through this physical pa...

  • Constraint-Preserving QAOA for Personnel Rostering: Coverage-Preserving and Guarded-XY Mixer Constructions

    The Quantum Approximate Optimization Algorithm (QAOA) is a promising framework for combinatorial optimization, but constrained problems are commonly handled using energetic penalty terms that require calibration and allow infeasible configurations to remain dynamically accessible. We develop a constraint-preserving QAOA framework for personnel rostering in which hard schedul...

Commercial and Industry Context

Unrouted Items

  • Phase-switchable nonreciprocal entanglement via magnon squeezing in ring-cavity optomagnomechanics

    Cavity optomagnomechanics provides a versatile platform to explore macroscopic quantum correlations, particularly nonreciprocal entanglement. In this work, we propose a theoretical scheme to generate switchable bipartite and tripartite entanglement in an optomagnomechanical ring cavity by exploiting phase-controlled magnon squeezing. Indeed, two spatially separated ferrimagn...

  • Nonlinear particle detectors across the Rindler firewall

    We investigate Unruh-DeWitt detectors coupled to composite observables of a quantum scalar field, including quadratic coupling to the field momentum and coupling to the local energy density. We develop a distributional framework for evaluating the corresponding detector response functions and apply it to detectors crossing the Rindler firewall. While we recover the finite re...

  • Silicon-Germanium Heterostructures with Enhanced Valley Splitting for Spin Qubits

    Achieving valley splittings well in excess of the thermal energy of electrons and avoiding valley excitations is essential for the consistent initialization, operation and readout of gate-defined Si spin qubits. In this work, we present a device-level optimization strategy for pushing valley splittings to between 1 and 5 meV, well beyond values reported in nearly all previou...

  • Optimality of the free quantum evolution: the general case with nodes

    Extending and refining a preceding work, the free evolution of a quantum wave function, with fixed initial and final modulus, is considered in the general case where nodes are allowed. The method is based on considering a suitable simple functional related to the quadratic optimal transport cost in discrete time. Under reasonable assumptions it is shown that, if nodes are pr...

  • Complete measurement of tunnel- and valley-coupling parameters in a silicon double quantum dot

    Tunneling is essential in the initialization, measurement, and control of quantum dot qubits. In silicon, such tunneling connects not only the qubit states but also valley minima in the conduction band on opposite sides of the Brillouin zone, with large consequences for the quantum dot behavior. Here we present a full characterization of the intravalley and intervalley tunne...

  • A complete ultrametric on von Neumann's incomplete tensor products

    We revisit von Neumann's theory of infinite tensor products of Hilbert spaces. On the set Γ of equivalence classes of C_0-sequences, which labels the incomplete tensor products inside the complete tensor product, we introduce a natural pseudo-ultrametric d: the distance between two classes is the convergence exponent of the series Σ_j|⟨φ_j,ψ_j⟩-1|...

  • Fluctuation theorems for thermally isolated driven quantum systems: nonadiabaticity, excess work and strong inequalities

    We expand on the ideas developed by C. Jarzynski in Physica A 552, 122077 (2020), where an integral fluctuation theorem was derived with the aim of obtaining thermodynamic inequalities stronger than those implied by the Jarzynski equality. Restricting ourselves to the quantum setting, we derive the corresponding detailed fluctuation theorem and additional detailed and integr...

  • Quantum Orchestras: a Concrete Semantics for Recursive Hybrid Programs

    Many production quantum programming languages represent hybrid quantum computations by extending a classical base language with a quantum effect, where qubits are addressed by reference, and quantum operations are understood to mutate some external quantum state. However, the semantics of this view of quantum computation remains underdeveloped, especially when the language a...

  • GHz-rate all-fiber active polarization state analyzer for quantum protocols

    Active selection of the measurement basis underpins quantum protocols including device-independent quantum key distribution, quantum teleportation with active feed-forward, and Bell tests. High-speed operation is crucial to minimize the latency between consecutive measurement choices, enabling faster protocol execution and higher achievable communication rates. Here, we demo...

  • Confinement drives valley splitting above 4K in buried silicon quantum wells

    Controlling the energy scales of a quantum system is essential for defining robust qubits. In silicon spin qubits, the nearly degenerate conduction-band valleys create a leakage channel from the single-spin computational basis, posing a challenge to scaling and to shuttling-based architectures. Here, we measure the relevant energy scales of single-electron spin qubits in bur...

  • Higher-Order Programs with Indefinite Causal Orders: a Linear Approach to Coherent Control of Quantum Processes

    Processes with indefinite causal orders (ICOs), such as the quantum switch, are higher-order quantum processes that superpose the order in which quantum operations are performed. Such coherent control yields computational advantages but is not faithfully captured by existing quantum programming languages: either they are restricted to the unitary case, and thus cannot combin...

  • Playing Bayesian games better with separable quantum states than with any classical correlation

    Bayesian games, also known as games of incomplete information, are a fruitful arena for exploring the impact of correlations on a set of independent agents (players) via the game equilibria to which they give rise. It was realised some time ago that quantum states shared between the players can lead to new and beneficial equilibria, compared to classical correlation. While u...

  • Orthogonal Quantum Krylov Diagonalisation

    Quantum subspace-diagonalization methods, particularly Quantum Krylov Diagonalization (QKD), provide a promising route for computing low-energy spectra of quantum many-body Hamiltonians. However, existing quantum Krylov approaches rely on non-orthogonal Krylov bases, requiring overlap-matrix regularization that limits numerical stability and accuracy. In this work, we introd...

  • COSMA: Communication-aware Optimization of Fermionic Simulation Kernels for Modular Quantum Architectures

    Quantum simulation is a leading application of quantum computing, but scaling to chemically relevant problems requires modular architectures composed of interconnected quantum processing units. In such systems, inter-core quantum communication becomes a major performance bottleneck. In this work, we present COSMA, a communication-aware compilation framework for fermionic sim...

  • When Routes Run Out: Adversarial Co-Learning and Explainable Robustness in Quantum Repeater Networks

    We study an adversarial bandit problem for entanglement-based quantum-network routing over a modest graph corpus. Alice selects an end-to-end repeater route for an Ekert-91 protocol (E91) representing her move, while Eve selects an attack surface, either edge intercept--resend or repeater memory degradation. Payoffs are drawn from cached SeQUeNCe-simulated E91 transcripts, a...

  • Quantum Approximate Optimization via Noise-Directed Adaptive Warm-Starting

    Progress towards a quantum advantage using known heuristic methods for combinatorial optimization is impeded by hardware noise and limited qubit count. Here, we propose a noise-aware adaptive approach to quantum approximate optimization, Noise-Directed Adaptive Warm-Starting (ND-AWS), that builds on recent concepts such as Warm-Start QAOA and Noise-Directed Adaptive Remappin...

  • Benchmarking Error Mitigation: Artefactual Improvements in Zero-Noise Extrapolation

    Reliable benchmarking of Quantum Error Mitigation (QEM) requires distinguishing genuine improvements from artefacts of the post-processing arithmetic. In this paper, we expose a failure mode in Richardson Zero-Noise Extrapolation (ZNE), a widely used technique routinely (and often implicitly) relied upon in benchmarks and experiments. When noise amplification operates beyond...

  • PCPOP.jl: A Julia package for partially commutative polynomial optimization

    Here we present PCPOP, a Julia package for polynomial optimization that supports non-commutative optimization, tracial polynomial optimization, trace polynomial optimization and state polynomial optimization. PCPOP fully supports exact arithmetic computations and incorporates convenient functionalities such as algebraic reductions based on Gröbner basis methods, automatized...

  • Observation of a Rydberg-atom time crystal with an ultralong lifetime

    Continuous time crystals (CTCs) represent a nonequilibrium quantum phase that spontaneously breaks time-translation symmetry without periodic external driving, manifesting as persistent, long-lived oscillations under steady pumping. The lifetime is constrained by the instability of the limit cycle phase, balanced between nonlinear feedback and energy dissipation, which have...

  • Quantum stochastic thermodynamics of macroscopic systems: an algebraic approach

    We build a framework for the thermodynamics of macroscopic quantum systems. In contrast with approaches requiring access to the full density matrix, our framework relies on a coarse-grained description, based on measurement statistics of a few observables. When these observables commute, the outcomes define classical macrostates whose entropy is quantified by observational e...

  • Quaternary-Squeeze Quantum Identity Authentication: Direction-Scaling Security via Single-Mode Squeezed Light

    Quantum identity authentication (QIA) has emerged as a crucial technology for secure communication systems, particularly in the burgeoning era of quantum communications. This paper proposes a novel QIA protocol based on non-classical characteristics of squeezed light fields. By exploiting quantum noise reduction properties of quadrature squeezed coherent states, the protocol...

  • Measurement Speed Limits for Quantum State Purification

    We derive three matched speed limits on the purification of a monitored system, valid in every finite dimension and for every strategy and efficiency. All three are set by one functional, the square root of the state's impurity, whose maximal decay rate is a state-independent constant. For a qubit this reduces to the square root of the determinant, whose protocol-independent...

  • Quantitative Wigner-Araki-Yanase Theorems for Unitary and Antiunitary Symmetries

    Symmetry imposes fundamental constraints on quantum measurement and control. The Wigner-Araki-Yanase theorem and its quantitative extensions capture this restriction for continuous symmetries, in terms of fluctuations of conserved generators. Such generator-based bounds, however, do not provide quantitative limitations for discrete unitary symmetries or for antiunitary symme...

  • Entanglement entropy in two-particle Grover walks on graphs

    We define a two-particle quantum walk of identical particles on a graph G via the one-particle Grover walk on the Kronecker product G ⊗G, and call it the two-particle Grover walk. In systems of identical particles, quantum mechanics requires that quantum states have a certain invariance with respect to the exchange of particles. Focusing on the symmetry of the Kro...

  • Classically Realizable Incompatibility

    Incompatibility constitutes a fundamental aspect of quantum mechanics. However, not every quantum observable non-classical property arises from incompatibility, nor can all quantum scenarios be fully captured by incompatibility alone. Within the framework of partial Boolean algebra (pBA), we research the structural properties of incompatibility scenarios. We introduce a unif...

  • Quantum Logic as the Logic of Contexts

    Quantum logic is usually presented as a non-classical departure from ordinary reasoning forced on us by quantum mechanics, with classical logic kept as the secure starting point. We argue for the opposite order of explanation in a finite and fully computable setting. The free orthomodular lattice on two generators has ninety-six elements, the direct product of a six-element...

  • Benchmarking Large Language Models on Repairing Qiskit Programs using Bugs4Q

    In quantum programs, Bugs4Q is a widely used benchmark containing real quantum defects. However, its evaluation assumes that benchmark labels remain valid and that generated fixes execute in the target environment. We evaluate two Bugs4Q versions containing 67 unique real Qiskit defects, adding executable tests where missing, and re-run all entries across six pinned Qiskit r...

  • Distillation-Enhanced Continuous-Variable Quantum Teleportation for Satellite Communication Networks

    Quantum teleportation (QT) over satellite-based free-space optical (FSO) channels is a promising approach for long-distance quantum communication. However, its performance is significantly degraded by atmospheric loss and turbulence. In this paper, we investigate continuous-variable (CV) QT in a dual-downlink scenario, where a satellite distributes entangled states to two gr...

  • Quantum Companies Help Develop Hybrid AI for Immune-Targeting Peptides

  • Israeli Quantum Startups Eye Wall Street as SPAC Interest Accelerates

  • Why Quantum Computing Needs Strong Ecosystems to Scale

  • BTQ Technologies and ICTK Complete Design of Quantum-Secure QCIM Security Chip

Desk

Chips

46 chip stack items collected on 2026-07-13; memory, packaging, compute, and foundry signals routed.

All collected Chips items (40)

Compute Accelerators

Memory and Advanced Packaging

  • 3nm GAA-FET SRAM Review Evaluates Self-Heating And Radiation Hardness (SJSU, Sandia)

    Researchers from San Jose State University and Sandia National Laboratories published a technical paper titled “Self-Heating and Radiation Hardness Studies of 3nm GAA-FET-Based SRAM with Different Substrate Isolation Techniques.” Abstract Excerpt: “In addition to the traditional bottom dielectric isolation (BDI), which isolates the source/drain (S/D) from the substrate (d...

Foundry, Tools, and Capex

Unrouted Items

Desk

Power

22 power layer items collected on 2026-07-13; data center load, grid, generation, and cooling signals routed.

All collected Power items (16)

Data Center Power Demand

Grid and Generation

Unrouted Items

  • 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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