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May 7, 2026

Quantum Motion's $160M Series C and IonQ's $64.7M Q1 2026 revenue establish quantum hardware as a sector generating real capital flows, while NVIDIA's concurrent sovereign AI factory announcements in Germany, Saudi Arabia, and Taiwan signal that national governments are now primary anchor customers for Blackwell infrastructure.

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104 tracked items · 3 desks

The day's read

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Operator brief

  1. Quantum capital is concentrating in hardware

    [rising] -- Two separate capital events landed today: Quantum Motion's $160M Series C targets silicon CMOS-compatible qubits, while IonQ's Q1 2026 revenue of $64.7M reflects contracts and system sales, not pilots. These are balance-sheet events with disclosed figures, not roadmap promises.

  2. Sovereign AI compute is reshaping where GPU clusters land

    [rising] -- NVIDIA disclosed commitments in Germany (10,000-GPU industrial AI cloud with DGX B200 systems), Saudi Arabia (HUMAIN/PIF strategic partnership), and Taiwan (Foxconn supercomputer) within a single reporting cycle. National governments and sovereign funds are acting as anchor customers, which constrains spot availability for non-sovereign buyers.

  3. U.S. grid flexibility is tightening under AI load

    [blocker] -- Virginia commercial electricity sales grew nearly 30 million MWh (2019-2025), EIA data shows, primarily from data centers. In the same period, planned U.S. coal retirements of 8.5 GW were reduced to 2.6 GW actual in 2025, with operators extending plant lives as a reliability buffer. SMR pipelines remain 2030s-era supply at best.

Quantum

  • P1 Quantum Motion Raises $160M Series C for Silicon Quantum Computing

    Silicon CMOS-compatible qubits attract the largest disclosed hardware round in the current cycle.

    The read: Silicon's attraction is fabrication at scale, but coherence times at scale remain unproven relative to superconducting and trapped-ion peers. This raise funds the attempt to close that gap.

  • P1 IonQ Reports $64.7M Q1 2026 Revenue Fueled by Quantum Contracts and System Sales

    Revenue mix of contracts and system sales indicates the customer base is broadening beyond proof-of-concept engagements.

    The read: IonQ remains unprofitable, but disclosed revenue at this scale is a structural marker for the sector: quantum is generating repeat commercial orders, not just grant funding.

  • P2 Real-time Surface-Code Error Correction Using an FPGA-based Neural-Network Decoder

    Neural-network decoders on FPGA hardware demonstrate the throughput and low latency needed for real-time syndrome decoding.

    The read: Classical decoder speed is a hard bottleneck for fault-tolerant systems. Closing this gap on programmable hardware rather than custom ASICs lowers deployment barriers for near-term fault-tolerant experiments.

  • P2 256-qubit Neutral Atom Simulator Benchmarked for Graph Classification

    Programmable Rubidium arrays at 256 qubits applied to a concrete graph-based QML benchmark.

    The read: Neutral atom platforms are scaling faster than gate-model trapped-ion at qubit count. Circuit fidelity and reconfiguration speed per shot remain the critical comparison metrics.

Chips

  • P1 NVIDIA RTX PRO 6000 Blackwell Server Edition Arrives in Enterprise Server Platforms

    Blackwell architecture now targets the broad enterprise installed base, not just hyperscale clusters.

    The read: This is a distribution event, not a silicon announcement. Positioning Blackwell in enterprise servers accelerates the installed base ahead of the next architecture cycle and pulls enterprise AI inference workloads onto NVIDIA hardware.

  • P2 3D-ICs Require New Power Integrity Approach as AI Scale Grows

    Power delivery complexity in stacked-die AI accelerators is now a primary design constraint.

    The read: As HBM is stacked closer to compute dies, the power delivery network can no longer be treated as a packaging afterthought. This drives co-design requirements earlier in the chip design cycle and raises NRE costs.

  • P2 "3.5D" Hybrid Integration: Combining Interposer and Vertical Stacking

    Packaging engineers are hybridizing 2.5D and 3D stacking to balance performance, manufacturability, and thermal constraints.

    The read: Custom hybrid packaging reduces thermal hotspots but adds design complexity and masks standard testing assumptions. Supply chains for these approaches are not yet commoditized.

Power

  • P1 Virginia Commercial Electricity Sales Up ~30M MWh (2019-2025), Data Centers Primary Driver

    A single state's data center concentration is generating load growth comparable to adding a mid-sized regional grid.

    The read: Virginia is the leading indicator for other data center cluster states (Texas, Georgia, Arizona). Transmission and generation capacity planning cycles run 5-10 years; the current AI buildout is already inside the constraint window.

  • P2 U.S. Coal Retirement Pace Slowed Sharply in 2025: 2.6 GW vs. 8.5 GW Planned

    Grid operators delayed 4.8 GW of planned coal retirements and cancelled 1.1 GW more as load rose faster than replacement generation came online.

    The read: Coal plant life extensions are a reliability response to AI-driven load growth. This complicates utility decarbonization commitments and suggests power demand forecasts for AI are landing harder than grid planners modeled.

  • P2 U.S. Small Modular Reactor Pipeline Under Development

    Several SMR designs are in development, but high capital costs and lengthy licensing timelines constrain near-term deployment.

    The read: Data center operators signing SMR offtake agreements are hedging against carbon pricing and grid variability. Operational timelines make this a 2030s supply story for most designs, not a solution to today's grid tightness.

AI Compute

  • P1 NVIDIA Builds Germany-Based Industrial AI Cloud: 10,000 GPUs, DGX B200

    National-scale AI manufacturing infrastructure with disclosed GPU count and named system type.

    The read: NVIDIA is acting as infrastructure developer, not only chip supplier. Network effects depend on software tooling and ISV ecosystem adoption among European industrial firms -- neither is guaranteed at announcement.

  • P1 HUMAIN (Saudi PIF) and NVIDIA Partner on AI Factories in Saudi Arabia

    Saudi Arabia's Public Investment Fund AI subsidiary makes NVIDIA its infrastructure partner for a national AI buildout.

    The read: The sovereign AI factory pattern -- national fund as anchor customer, NVIDIA as infrastructure provider -- is now replicating across geographies in a single reporting cycle. This concentrates Blackwell demand and constrains spot availability for other purchasers.

  • P1 Foxconn, Taiwan Government, and NVIDIA Build Blackwell AI Factory Supercomputer

    Taiwan's government and its largest contract manufacturer co-invest in Blackwell infrastructure for domestic researchers and industry.

    The read: Foxconn's role as builder and the Taiwan government as co-investor signals a supply-chain sovereignty dimension alongside the AI buildout objective.

  • P2 DGX Cloud Lepton Expands European Cloud Provider Network

    NVIDIA's compute marketplace for agentic and physical AI now includes GPU supply from additional European cloud providers.

    The read: Lepton functions as NVIDIA's demand aggregation layer, pulling developer workloads through partner cloud operators. This widens supply without NVIDIA bearing direct infrastructure cost, and gives NVIDIA visibility into developer compute patterns.

  • P2 Oracle and NVIDIA Integrate for Agentic AI Inference at Enterprise Scale

    Oracle cloud integrates NVIDIA accelerated compute and inference software for enterprise agentic AI applications.

    The read: Hyperscaler-NVIDIA integration announcements are now routine. The operational signal here is enterprise inference at scale -- the deployment phase following the training buildout of 2023-2025.

  • P2 NVIDIA and 12 Telecom Leaders Commit to AI-Native Open 6G Platforms

    Major carriers and equipment vendors align on AI-native, open-architecture 6G commitment with NVIDIA.

    The read: 6G standards are 5-8 years from commercial deployment. This is a positioning move to embed NVIDIA compute into future RAN architecture specifications. No deployed infrastructure results from this announcement.

Collected items by desk

Desk

Quantum

60 quantum research items collected on 2026-05-07; hardware, control, and industry signals routed.

All collected Quantum items (53)

Hardware and Error Correction

  • Release-free electro-optomechanical crystal modulator

    Electro-optic modulation is central to classical optical communications and emerging quantum technologies. High-confinement optomechanical crystal modulators enable microwave-optical transduction through strong optomechanical interactions and offer a promising interface between superconducting qubits and optical fibers. However, their performance is limited by thermal noise...

  • The Saturable Electronic Reluctance Switch: Switchable low-power and low-noise generation of magnetic fields using permanent magnets

    Across many areas of science, there is a need to generate magnetic fields that are both ultra-stable and switchable on and off. While permanent and superconducting magnets offer exceptionally low-noise fields, they are not readily switchable. Conversely, electromagnets are switchable but are susceptible to current noise. We present a hybrid technique to switch the field of a...

  • Block Permutation Routing on Ramanujan Hypergraphs for Fault-Tolerant Quantum Computing

    We analyze permutation routing of rigid blocks representing surface code patches of d_C^2 atoms on a reconfigurable lattice with hypergraph transformations. For a hypergraph H, code distance d_C, s=d_C^2, number of blocks N_L, and guard distance g, we show the block routing number rt_B(H, s, g) = Θ(d_C log N_L). A spectral analysis of the quotient gra...

  • Network-Mediated Capacitive Coupling Drives Fast OTOC Saturation in Superconducting Circuits

    We investigate the dynamical and spectral consequences of capacitance-network-mediated interactions in superconducting transmon arrays beyond effective nearest-neighbor descriptions. While weak coupling regimes are well captured by an effective nearest-neighbor interacting models, we show that increasing capacitive connectivity induces a pronounced departure from this approx...

  • Real-time Surface-Code Error Correction Using an FPGA-based Neural-Network Decoder

    Quantum error correction (QEC) is essential for achieving low error rates required for fault-tolerant quantum computation. In stabilizer-based codes such as the surface code, errors are inferred from repeated syndrome measurements and corrected by a classical decoder. To prevent error accumulation, decoding must be performed with both high throughput and low latency to keep...

  • W-state graphs: Structure and Algorithms

    We study the class of edge-coloured graphs arising from the graph-theoretic representation of quantum photonic experiments that generate multipartite W-states. Abstracting away physical amplitudes and phases, we introduce W-state graphs: matching-covered graphs equipped with a half-edge 2-colouring such that every perfect matching contains exactly one bichromatic edge and ev...

  • Quantum Magic in early FTQC: From Diagonal Clifford Hierarchy No-Go Theorems to Architecture Design Blueprints

    We address the circuit-design problem of maximizing quantum magic in early fault-tolerant quantum computing (early FTQC), where logical dynamics natively take the form of alternating Clifford layers and diagonal non-Clifford layers. To render this optimization analytically tractable, we first prove a uniqueness theorem: for operational magic functionals built from Pauli expe...

  • Harnessing a 256-qubit Neutral Atom Simulator for Graph Classification

    Neutral atom platforms are analogue quantum simulators that offer the possibility to map graphs onto a 2D qubit register using programmable Rubidium atoms arrays, whose valence electrons' energy state is used as qubits, using optical tweezers. This makes it possible to implement algorithms for solving graph combinatorial optimization and Quantum Machine Learning (QML) tasks,...

Control and Quantum-AI Integration

  • Dephasing Effects on the Dynamical Evolution of Quantum Correlations and Coherence in Neutrino Oscillations

    Neutrino oscillations confirm the presence of mode entanglement, as each flavor eigenstate is composed of a coherent superposition of distinct mass eigenstates. In this work, we investigate the dynamics of quantum resources in neutrino oscillation systems by analyzing quantum steering, logarithmic negativity, and quantum coherence within a two-flavor framework. Treating neut...

  • Scalable Quantum Reservoir Computing over Distributed Quantum Architectures

    Reservoir computing provides an alternative to recurrent neural networks by overcoming the common problems of backpropagation through time and by training only a simple readout layer. The emerging field of quantum computing offers a new computing paradigm that promises to enhance learning through richer feature representations. In this work, we investigate quantum reservoir...

  • Scalar and Vector Airborne Platform Calibration Using Quantum and Classical Magnetometers and Inertial Sensors

    Airborne magnetometry requires rigorous calibration to isolate geomagnetic signals from sensor errors and platform magnetic fields. This magnetic compensation is needed for applications like geophysical exploration and magnetic anomaly navigation. The standard approach utilizes a quantum scalar Optically Pumped Magnetometer (OPM) and a less sensitive fluxgate vector sensor f...

  • Beyond Gates: Pulse Level Quantum Fourier Models

    In the domain of variational quantum algorithms, quantum Fourier models (QFMs) provide a mathematically well defined structure for quantum machine learning (QML). There has been a substantial amount of work on the scalability and trainability of such models showcasing the potential but also the limitations for the prospective application of QFMs. However, much less is known...

  • Neural-powered unit disk graph embedding: qubits connectivity for some QUBO problems

    Graph embedding is a recurrent problem in quantum computing, for instance, quantum annealers need to solve a minor graph embedding in order to map a given Quadratic Unconstrained Binary Optimization (QUBO) problem onto their internal connectivity pattern. This work presents a novel approach to constrained unit disk graph embedding, which is encountered when trying to solve c...

  • Neural network modeling of many-body super- and sub-radiant dynamics

    There is significant interest in exploring novel phenomena in quantum light-matter interfaces, which are driven by the combination of structured dissipation and long-range interactions that are typical in such systems. To this end, it is important to develop new general numerical simulation techniques, which can access large system sizes and are not based on semi-classical a...

  • Single-photon scattering by a giant molecule asymmetrically coupled to parallel waveguides

    We investigate single-photon scattering in a waveguide-QED setup, where a giant molecule composed of two frequency-detuned giant atoms is coupled to two parallel waveguides via multiple connection points. The competition between coherent atom--atom coupling and the effective decay rates dictates the splitting of a single resonance into a doublet in the transmission (reflecti...

  • SpinTune: Improving the Reliability of Quantum Sensor Networks for Practical Quantum-Classical Utility

    Emerging quantum sensors are increasingly envisioned as components of hybrid quantum-classical high-performance computing, enabling new capabilities in scientific, cyber-physical, and machine-learning pipelines. However, their practical utility is limited by environmental decoherence, which degrades sensing reliability. While dynamical decoupling (DD) pulse sequences can mit...

Commercial and Industry Context

Unrouted Items

  • Plasma effects on lifetimes and screening of Rydberg excitons

    We simulate the effects of a neutral electron--hole plasma on Rydberg excitons in cuprous oxide (Cu_2O), focusing on the validity of Debye screening and the role of plasma-induced thermalization. Unlike atomic Rydberg states, excitons in Cu_2O consist of quasiparticles with comparable effective masses whose orbital frequencies can exceed the plasma frequency, invalidatin...

  • Entanglement-Rank Duality in Quadratic Phase Quantum States

    Absolutely Maximally Entangled (AME) states are important resources in quantum information processing; however, a general systematic approach for constructing these states remains a formidable challenge. We identify a finite-field rank structure underlying multipartite entanglement in a class of quadratic-phase quantum states defined by symmetric matrices over F_p...

  • A Factor-Graph Formulation of CSS Syndrome Decoding: Joint BP and Four-State BP

    For CSS syndrome decoding, the two check matrices impose binary parity-check constraints on the two Pauli error components. The posterior can therefore be written as a binary factor graph with two Tanner graphs coupled by the local joint prior at each qubit. We call the sum-product algorithm on this factorization joint belief propagation (joint BP). Joint BP retains the loca...

  • Kink-kink correlations in nonlinear quenches across a quantum critical point

    When a quantum system exhibiting a second order phase transition is quenched across the critical point in large but finite time, the dynamics are not adiabatic in the critical region and the Kibble-Zurek (KZ) mechanism provides a framework to determine local observables such as the mean defect density. However, to find higher-point functions, one has to go beyond the KZ para...

  • Polarization-Controlled Photon Mode Switching and Photon--Magnon Coupling in a Planar Cavity--Magnonic System

    This work presents polarization-selective photon-magnon coupling (PMC) in a planar cavity-magnonic platform consisting of an electric-LC resonator (ELCR) side-coupled to a microstrip transmission line and integrated with a yttrium iron garnet (YIG) thin film. The ELCR supports two orthogonal photon modes at ~3.93 GHz and ~5.73 GHz, whose excitation and radiative...

  • Exact identification of unknown unitary processes

    The accurate identification of faulty hardware is a fundamental requirement for reliable quantum information processing. We address this problem in a quantum setting, where a series of n devices is intended to apply the same unitary operation, but k malfunctioning devices among them apply a different, unknown unitary action. Under the assumption of complete ignorance reg...

  • Exact SU(2) Yang-Mills Waves from a Simple Ansatz

    We propose a simple ansatz to construct exact wave solutions of the sourceless SU(2) Yang-Mills equations in (3+1) dimensions. The ansatz employs a y-dependent rotated Pauli basis and assumes a phase θ=kz-ωt dependence for the gauge potentials. Owing to this ansatz, the nonlinear field equations reduce to nine algebraic constraints, whose complete solution yields three f...

  • Quantum Realizability of Probabilistic Theories Stable under Teleportation

    The classification of general probabilistic theories (GPTs) whose CHSH value is stable under arbitrary rounds of teleportation and entanglement swapping was recently obtained in Dmello and Gross work and consists of seven families, indexed by characters of the Klein four-group K_4, the cyclic group Z_4, and the dihedral group D_4. The question of which of thes...

  • Optimal Error Exponents for Composite Sequential Quantum Hypothesis Testing

    We study the composite sequential quantum hypothesis testing (SQHT) problem, where the objective is to distinguish a null quantum state from a compact, convex set of alternative quantum states. We propose a mixture-sequential quantum probability ratio test that adaptively selects measurements based on the current mixture estimate of the alternative set, and stops upon the fi...

  • Transit Noise in Spin Squeezing Experiments with Coated Rubidium Vapor Cell

    Spin squeezing can suppress quantum projection noise via interparticle entanglement, therefore enabling measurement sensitivities beyond the standard quantum limit. In practice, however, the Gaussian and finite intensity profiles of the optical probe beam induce spatially inhomogeneous atom-light interactions. As polarized atoms move within a vapor cell, they experience posi...

  • Catalytic advantage in asymptotic entanglement manipulation

    Entanglement is a key quantum resource in various quantum protocols, with a rich set of laws governing its manipulation. In this context, catalysis refers to the possibility of an auxiliary state that enables a previously forbidden manipulation, while being completely returned at the end. While the catalytic setting has been thoroughly examined in the single-copy regime, muc...

  • Quantum algorithm for solving differential equations using SLAC derivatives

    We present the construction of efficient linear-combination-of-unitaries (LCU)-based block-encodings for the first-order derivative and Laplacian operators in the SLAC representation. We use state-preparation techniques designed for smoothly decaying functions to efficiently prepare the dense LCU amplitudes with high success probability and low gate cost. Furthermore, we dem...

  • Scheduling Entanglement Flows in Multi-channel Quantum Networks

    This paper addresses resource allocation for entanglement distribution in multi-channel quantum networks. A system model is proposed that integrates a multi-channel quantum network architecture with heterogeneous link characteristics and user-centric entanglement request handling, including queuing and retry mechanisms. Classical allocation methods for assigning channels and...

  • Automated Circuit Depth Reduction of Quantum Subroutines via Compilation

    Optimizing quantum circuits by reducing circuit depth is essential for improving the efficiency and scalability of quantum algorithms, particularly as quantum hardware continues to evolve. This can be achieved by restructuring quantum algorithms to allow more parallelism. A compiler is needed to automatically detect and apply these optimizations. In this work, we focus on th...

  • Efficient Multi-Controlled Gate Implementation in Trapped-Ion Systems

    Multi-controlled gates are essential primitives in quantum algorithms, yet implementing them via standard gate-level decompositions remains resource-intensive. We develop efficient pulse-level implementations of multi-controlled gates in trapped-ion systems using the Cirac-Zoller scheme. We first show that the Cirac-Zoller construction admits a freedom in the sign choice of...

  • Unconditional Authentication in Quantum Key Distribution via Hybrid Entangled Physical Unclonable Functions

    Quantum Key Distribution (QKD) enables Information-Theoretically Secure (ITS) key exchange, robust even against future quantum computing threats. However, a fundamental limitation of QKD is the requirement for an authenticated classical channel, which necessitates a pre-shared secret key. In this work, we address this challenge by adopting a Hybrid Entangled Physical Unclona...

  • Generative Quantum-inspired Kolmogorov-Arnold Eigensolver

    High-performance computing (HPC) is increasingly important for scalable quantum chemistry workflows that couple classical generative models, quantum circuit simulation, and selected configuration interaction postprocessing. We present the generative quantum-inspired Kolmogorov-Arnold eigensolver (GQKAE), a parameter-efficient extension of the generative quantum eigensolver (...

  • Two-site Bose-Hubbard hopping and Schrödinger cat states

    The Bose-Hubbard Hamiltonian can be simplified to have only two lattice sites, in which case the system being described is referred to as a dimer. Due to its structure, the hopping term of the dimer Hamiltonian enjoys invariance in a family of subspaces indexed by a whole number k, each subspace corresponding to a system of only k particles. We have invented an inductive...

  • Causal-Order Identification of Memoryless Sequential Quantum Processes from Restricted Projective Data

    Identifying causal order from restricted projective data is generally nontrivial. When two quantum players interact only through an unobserved environment, the available local measurement statistics are typically not tomographically complete, so the underlying process cannot in general be reconstructed exactly from the observed distribution. As a result, causal direction can...

  • Measurement-Device-Independent Entanglement Quantification in a Fully Connected Time-Bin Quantum Network

    Fully connected quantum networks enable scalable quantum communication, yet reliable entanglement characterization without trusting measurement devices remains challenging. Here we experimentally demonstrate measurement-device-independent (MDI) entanglement verification and quantification in a time-bin-encoded fully connected quantum network. Using a broadband periodically p...

  • Hierarchical entanglement transitions and hidden area-law sectors in quantum many-body dynamics

    Chaotic many-body dynamics typically generates volume-law entanglement from initially low-entangled states. We reveal an intricate, hierarchical entanglement structure in local quantum quenches, both in the canonical purification of locally quenched Gibbs states and in a companion pure-state circuit model. In either setting, the full state exhibits a Renyi-index-tuned transi...

  • Online Riemannian Gradient Descent for Quantum State Tomography with Matrix Product Operators

    Matrix product operators (MPOs) provide a scalable approach for quantum state tomography (QST) by offering a compact representation of many-body mixed states with limited entanglement, using only a number of parameters that scales polynomially with the system size. In this paper, we study QST for quantum density matrices that can be represented by MPOs. We first derive an eq...

  • Finite-size scaling properties of classical random walk on various two-dimensional lattices

    We consider various two-dimensional lattices such as square, Kagome, Lieb, honeycomb, dice lattices of finite extent, to study the effect of lattice profile in terms of the number of nearest neighbour and connectivity patterns on the classical random walk in the unbiased scenario. We find that the standard deviation of distance travelled by the walker is insensitive to the n...

  • Confidence uncertainty: position and momentum can be jointly determined with a guaranteed probability

    Heisenberg's uncertainty principle states that the position and momentum of a particle cannot be sharply determined simultaneously. Standard-deviation and entropic formulations capture the spread of the probability distribution but say little about the probability itself contained in a small region. We introduce the "confidence uncertainty" Δ^cx(θ_x) as the minimal Lebes...

  • Floquet quantum multiparameter estimation with periodic-driving-induced topological phase transition

    Periodically driven systems provide a powerful platform for quantum multiparameter estimation. Constructing a static effective Hamiltonian in a proper rotating frame is commonly employed to assess the attainable precision. However, such an approach becomes nonfeasible for more general time-periodically driven systems. To tackle this dilemma, we develop a quantum multiparamet...

  • Unitary dynamics and resource trade-offs in a four-qubit isotropic Heisenberg XXX chain with tunable next-nearest-neighbor coupling

    We derive the unitary dynamics of a four-qubit isotropic Heisenberg XXX chain with tunable next-nearest-neighbor coupling α, initialized in a Bell-type product state. Closed-form expressions are obtained for the state fidelity F(ρ(0),ρ(t)), the l_1-norm coherence C_(l_1)(ρ(t)), and the entanglement of formation E_F^(12)(t) and E_F^(34)(t) for the two-qubit subsys...

  • Uniform Mixing in Chiral Quantum Walks

    This paper studies uniform mixing in continuous-time quantum walks. We show that for some unitary signing σ the complete graph K^σ_n has probabilistic uniform mixing. In contrast, it is known {\em no} complete graph has uniform mixing except for K_2, K_3, and K_4. Our technique is based on a stopping rule for quantum walks which reduces global to local uniform mixi...

  • Bluefors joins Chicago Quantum Exchange

  • QuTwo Raises €25 Million to Build Hybrid Quantum-Classical Platform

  • UC Names Katherine Yelick for Lawrence Berkeley National Laboratory

  • Quantum Algorithms May Add Shine to Surface Coatings

Desk

Chips

40 chip stack items collected on 2026-05-07; memory, packaging, compute, and foundry signals routed.

All collected Chips items (34)

Compute Accelerators

Memory and Advanced Packaging

Unrouted Items

Desk

Power

20 power layer items collected on 2026-05-07; data center load, grid, generation, and cooling signals routed.

All collected Power items (17)

Data Center Power Demand

  • 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...

  • Small modular reactors and microreactors under development in the United States

    Electric utilities in the United States currently operate about 98 gigawatts (GW) of nuclear generating capacity, but very little nuclear capacity has been built in the last few decades. High capital costs and lengthy licensing and approval processes have limited the expansion of nuclear power. However, several companies are developing new small modular reactor (SMR) designs...

  • U.S. coal-fired generating capacity retired in 2025 was the least in 15 years

    During 2025, the U.S. electric power sector retired 2.6 gigawatts (GW) of coal-fired generating capacity at four power plants, the least since 2010. At the beginning of 2025, coal plant operators had planned to retire 8.5 GW of capacity; however, 4.8 GW of planned retirements were delayed to a future year, and the operators of two coal plants (1.1 GW) cancelled plans to reti...

  • Rooftop solar photovoltaic systems account for 20% of Puerto Rico's capacity mix

    Rooftop solar generating capacity in Puerto Rico totaled 1,456 megawatts (MW) at the end of 2025, 20% of the overall capacity mix. Rooftop solar capacity has increased faster than other sources over the past decade. Between 2016 and 2025 rooftop solar installations accounted for 81% of the new generating capacity in Puerto Rico, according to data from our Electric Power Mont...

Grid and Generation

Unrouted Items

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