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Daily brief · All editions

June 24, 2026

Neutral-atom quantum processors achieve sub-millisecond mid-circuit measurement cycles while global AI infrastructure buildouts accelerate grid pressure across North America, Europe, and Asia.

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110 tracked items · 3 desks

The day's read

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Operator brief

  1. Quantum hardware fidelity is closing real-time control gaps

    [rising]: Neutral-atom arrays can now perform mid-circuit measurements and feedforward below 1 ms, a threshold that has historically limited error-correction viability. Combined with RL-generated robust pulse sequences, operational quantum control is moving from lab conditions toward deployment-adjacent regimes.

  2. AI compute infrastructure is scaling faster than grid planning cycles

    [rising]: Announced deployments in South Korea (gigawatt-scale, first factory 2027), Saudi Arabia, Taiwan, and Europe collectively represent multi-hundred-megawatt near-term power draws. Virginia commercial electricity consumption grew by roughly 30 million MWh between 2019 and 2025 driven almost entirely by data centers, a signal of demand already outpacing grid projections.

  3. TSMC 2nm production ramp is a foundry inflection point with supply chain risk

    [blocker]: AMD's EPYC "Venice" entering production on TSMC 2nm is the first major server CPU on that node. Yield, packaging, and CoWoS capacity constraints at leading-edge nodes remain the most concrete near-term blocker for AI factory compute density targets.

Quantum

  • P1 Rapid Cavity-Based Mid-Circuit Measurement and Feedforward in a Neutral Atom Array

    Sub-millisecond MCM-and-feedforward demonstrated in a neutral-atom array, removing a latency constraint that has blocked real-time error correction in this modality.

    The read: This is an enabling step for fault-tolerant neutral-atom architectures, not a system-level demonstration. The result needs to be shown at scale and with full surface-code integration before deployment timelines compress materially. It does raise the competitive ceiling for neutral-atom relative to trapped-ion and superconducting approaches.

  • P2 Large-Language-Model Discovery of Quantum LDPC Codes through Structured Concept Evolution

    An LLM-driven search method surfaces new quantum LDPC code constructions (sparse parity checks, finite encoding rate, growing distance), a class believed to offer lower overhead than surface codes at scale.

    The read: Using LLMs as combinatorial search engines for code discovery is a pragmatic application. The rate of novel code discovery does not automatically translate to near-term hardware benefit; code construction and physical implementation remain separate problems. Worth tracking for long-cycle resource estimation.

  • P2 Uncovering Latent Structures in Robust Pulse Sequences via Model-Based Reinforcement Learning

    RL generates robust, high-fidelity control pulses that remain effective across hardware operating conditions without requiring reinitialization.

    The read: Operational quantum hardware spends significant engineering time on recalibration. Reducing this via automated pulse optimization has real cost implications for quantum cloud providers, even if underlying qubit counts remain modest.

Chips

  • P1 AMD Announces Production Ramp of EPYC "Venice" on TSMC 2nm

    The first major server CPU is entering production on TSMC's 2nm process node, marking a foundry transition from the 3/4nm generation.

    The read: 2nm server CPU production is a leading indicator for data center compute density and power efficiency in the 2027 server refresh cycle. Packaging and CoWoS capacity at TSMC remain the most likely constraint. Actual performance and TCO data are not yet public.

  • P1 UCIe vs. BoW: Practical Insights for Choosing Chiplet Interconnect Standards

    A technical analysis contrasts UCIe and Bunch-of-Wires (BoW) chiplet interconnect standards across bandwidth, latency, power, and toolchain maturity for real deployment decisions.

    The read: Chiplet interconnect choice has multi-year lock-in implications. Practical guidance from neutral sources is useful for teams designing AI accelerator packages. No single standard dominates across all use cases.

  • P2 NVIDIA RTX PRO Servers With Blackwell Coming to Enterprise Systems

    RTX PRO 6000 Blackwell Server Edition is being integrated into major enterprise server platforms, extending Blackwell architecture into general enterprise IT beyond hyperscale AI factories.

    The read: Enterprise server integration for Blackwell-class GPUs broadens the addressable market beyond cloud and HPC. Whether enterprise workloads can generate sufficient utilization to justify capital outlay against cloud alternatives is the operative question.

  • P2 Research Bits: High-NA EUV Redesign and Embedded Liquid Cooling

    Research directions include redesigning high-NA EUV optics and integrating embedded liquid cooling into chip packaging, both relevant to sub-2nm fab roadmaps.

    The read: High-NA EUV optics redesign addresses throughput and yield at the most advanced lithography nodes. Embedded liquid cooling in packaging responds to power density constraints already forcing architectural changes in AI accelerator design. Both are 3–5 year horizon items.

Power

  • P1 EIA AEO2026: Data Center Server Energy Projects to 446–818 BkWh/Year by 2050

    EIA's Annual Energy Outlook 2026 projects standalone data center energy consumption in a wide range reflecting uncertainty in AI load growth trajectories.

    The read: The 372 BkWh spread between scenarios reflects genuine modeling uncertainty around AI inference workload intensity and hardware efficiency improvement rates. Grid planners and utility investors cannot yet anchor to a single number. This is a primary-source forecast, not a vendor projection.

  • P1 CAISO: Solar Generation Exceeded Natural Gas in First Five Months of 2026

    Utility-scale solar surpassed natural gas generation in California's grid for January through May 2026, with solar up 21% and natural gas down 60% versus the same period in 2024.

    The read: A 60% reduction in CAISO natural gas generation constrains peaker capacity available for firm power contracts to data centers in California. California's grid is not representative of the Southeast, Midwest, or Texas, where AI data center growth is also concentrated and renewable penetration is lower.

  • P1 SunZia 3,650 MW Wind Farm Begins Commercial Operations

    The largest US wind farm, SunZia, has entered commercial operations in New Mexico with 916 turbines and 3,650 MW of capacity.

    The read: SunZia adds meaningful renewable generation adjacent to growing data center markets in the Southwest. Transmission connectivity to high-demand load centers remains a gating factor for how much of this capacity directly offsets data center fossil fuel use.

  • P2 Virginia Commercial Electricity: ~30 Million MWh Growth (2019–2025)

    Virginia added roughly 30 million MWh in commercial electricity sales between 2019 and 2025, with data centers as the primary driver and the growth rate second only to Texas nationally.

    The read: Northern Virginia's concentration of hyperscale data centers makes it the clearest real-world demand signal for AI-era power growth. The pace is already stressing local transmission infrastructure, a pattern likely to repeat in other high-density markets (Iowa, Texas, Arizona) on a 2–5 year lag.

  • P2 ERCOT Solar Projected to Exceed Coal for First Time in 2026

    The EIA Short-Term Energy Outlook forecasts utility-scale solar in ERCOT reaching 78 BkWh in 2026, surpassing coal output for the first time.

    The read: Texas grid composition is shifting faster than most multi-decade capacity plans anticipated. This affects the carbon intensity of data centers operating on ERCOT power.

  • P2 US Pipeline Capacity Additions 2026–2027: 44.9 Bcf/day Planned

    44.9 Bcf/day of US pipeline capacity additions are planned for 2026–2027, with 70% already under construction and 66% originating from Texas.

    The read: Substantial new pipeline from Texas reinforces natural gas as the near-term dispatchable backstop for AI factory load growth, creating a tension with corporate clean-energy commitments in the sector. Infrastructure commissioned now locks in gas dependence for 20–30 years.

AI Compute

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

    NVIDIA and SK hynix are entering a multiyear co-design partnership targeting next-generation memory architectures for AI factory workloads.

    The read: Co-design between the dominant GPU platform and a leading HBM supplier at the multiyear horizon signals that memory bandwidth and power density are the anticipated bottleneck for next-generation AI accelerators. This reduces the likelihood that memory supply will be a commodity variable and increases vertical integration risk for competing memory suppliers.

  • P1 Europe Sovereign AI Buildout: Multiple Nations, Blackwell Infrastructure

    NVIDIA announced Blackwell-based AI infrastructure partnerships across European nations, including a Germany-based industrial AI cloud with 10,000 GPUs (DGX B200 and RTX PRO Systems), and collaborations with European model builders and cloud providers.

    The read: European sovereign AI deployment is crossing from pilot to national infrastructure scale. The industrial AI framing (manufacturing digital twins) distinguishes this deployment from general-purpose cloud. Scale figures beyond Germany require independent verification.

  • P2 NAVER Expands Sovereign AI Infrastructure: 55 MW Starting Capacity

    NAVER is expanding AI infrastructure using NVIDIA's DSX platform, beginning at 55 MW with stated ambitions toward larger scale.

    The read: NAVER's 55 MW anchor is notable as a concrete, near-term committed capacity figure in a news cycle dominated by aspirational gigawatt numbers. DSX platform adoption by a major consumer internet operator (rather than a hyperscaler) widens the addressable deployment base.

  • P2 SK Telecom and NVIDIA: Gigawatt-Scale AI Cloud, First Factory Online 2027

    SK Telecom and NVIDIA are building AI infrastructure for South Korea using NVIDIA DSX; first factory is targeted for 2027 with gigawatt-scale ambition stated.

    The read: The 2027 date for first factory is the actionable near-term milestone. Telecom operators entering AI infrastructure as owners (rather than resellers) is a structural shift with implications for hyperscale cloud market share in Asia.

  • P2 Foxconn and Taiwan Building AI Factory Supercomputer with NVIDIA

    Foxconn Hon Hai and the Taiwan government announced a partnership with NVIDIA to build a Blackwell-based AI factory supercomputer for researchers, startups, and industries.

    The read: Taiwan sovereign compute now has a named hardware partner and ODM integrator. Foxconn's manufacturing role expanding into AI factory operation represents vertical integration by a contract manufacturer into compute services. Geographic concentration of both fab capacity and AI factory deployments increases single-geography risk.

Collected items by desk

Desk

Quantum

60 quantum research items collected on 2026-06-24; hardware, control, and industry signals routed.

All collected Quantum items (54)

Hardware and Error Correction

  • Rapid Cavity-Based Mid-Circuit Measurement and Feedforward in a Neutral Atom Array

    Measuring part of a quantum system in the midst of its evolution and acting on the result in real time is essential for numerous quantum information protocols. Neutral-atom arrays are a leading platform for quantum information processing, but their mid-circuit measurement-and-feedforward cycle times have remained slow, typically exceeding 1 ms. Here we demonstrate fast mid-c...

  • Large-Language-Model Discovery of Quantum LDPC Codes through Structured Concept Evolution

    Quantum computers could outperform classical machines on important problems, but only if the errors that pervade quantum hardware can be corrected at scale. Quantum low-density parity-check (qLDPC) codes offer a promising route to this goal by combining sparse parity checks with finite encoding rate and growing distance, but their construction remains a challenging discrete...

  • Compressed Quantum Operators and Roots of Hermite Polynomials

    The fundamental position and momentum operators of quantum mechanics are unbounded, but finite rank compressions of the operators can be considered to obtain partial information on the operators and their properties. Motivated by problems in photonic quantum computing, we bring together results from quantum theory and the theory of orthogonal polynomials to show that a natur...

  • A high-fidelity two-qubit gate for multimode superconducting P-mon qubits

    To scale superconducting quantum processors, it is essential to achieve long coherence times while engineering interactions that do not introduce additional decoherence channels. In superconducting qubit systems, this can be realized using multimode circuits that feature a protected qubit mode alongside a distinct mediator mode. Building on this concept, our recently develop...

  • A Universal All-Fiber Quantum Buffer for the Telecom Band

    The realization of a scalable quantum internet relies on the ability to temporally align asynchronous photonic signals through on-demand buffering. While matter-based quantum memories achieve long storage times, their extremely narrow bandwidths and cryogenic requirements pose significant barriers to integration with existing telecommunications infrastructure. Conversely, cu...

  • Auxiliary Schmidt Rank as a Resource for Photonic Bell Measurements

    In quantum communication and fusion-based quantum computation, photonic Bell measurements are fundamentally limited when only passive linear optics is employed. While for qubits, some Bell states can be unambiguously identified with static beam splitters and no extra photons or entanglement, additional auxiliary photons or at least additional auxiliary degrees of freedom wit...

  • Offline Channel-Independent QAOA Angles for RIS Power Aggregation: Unit-Circle Phase Dictionaries and Infinite-Size Spin-Glass Limits

    Reconfigurable intelligent surfaces (RIS) maximize received power by setting per-element phases. Discrete-phase optimization is NP-hard in the worst case, while the quantum approximate optimization algorithm (QAOA) applied to RIS faces limited phase alphabets, either per-problem angle optimization or uncharacterized training cost exposed to barren plateaus, and no scalable p...

  • When to Skip Syndrome Extraction in Surface-GKP Codes

    Fault-tolerant quantum error correction requires repeated syndrome extraction to address errors induced by the syndrome-extraction circuit itself. However, repeated syndrome extraction incurs significant overhead in terms of gate count and ancilla consumption (e.g., Gottesman-Kitaev-Preskill (GKP) states). Moreover, noisy syndrome extraction can itself inject additional erro...

Control and Quantum-AI Integration

Commercial and Industry Context

Unrouted Items

  • Universality beyond the Kibble-Zurek mechanism in the condensation of coherently coupled Bose gases

    We study the universal spatial statistics of point-like topological defects formed during the nonequilibrium condensation of a coherently coupled Bose gas using the stochastic projected Gross-Pitaevskii equation. The symmetry-breaking transition is driven by a linear quench of the chemical potential, leading to stochastic vortex nucleation in the individual condensate compon...

  • Introduction to matrix-product states and tensor networks

    These notes provide an introduction to tensor-network methods in quantum many-body physics, with an emphasis on matrix-product states (MPS). They develop the basic tensor-network language, including graphical notation, virtual indices, bond dimensions, gauge freedom, canonical forms, QR and singular-value decompositions, and the role of entanglement in controlling the effici...

  • Anomalous weak values in a generalized Mach-Zehnder interferometer extracted directly from intensity measurements

    Weak values provide a powerful framework for characterizing quantum systems. Their experimental extraction conventionally relies on weak conditioned von Neumann measurements, involving weak interactions and meter states that increase experimental complexity and often limit measurement efficiency. Here we introduce a method to fully characterize path weak-values in a generali...

  • Faster algorithm for achieving minimal-size quantum decision diagrams

    The decision diagram (DD) data structure enables fast linear-algebra calculations by bringing vectors into a normal form and subsequently merging equivalent ones, yielding a minimally-sized DD modulo the equivalence relation. A fruitful application area is quantum-circuit simulation, where the vectors represent quantum states. The Local Invertible Map Decision Diagram (LIMDD...

  • Two-Electron Effects Extend High-Harmonic Generation into the keV Regime

    Two-electron processes can generate high harmonics beyond the conventional single-active-electron cutoff. Motivated by recent experimental evidence of an extended secondary plateau in the helium high-harmonic spectrum [S. Wang et al, Optica, (2023); S. Wang et al, In Print in Nature Photon., (2026)], we present a two-electron generalisation of the strong-field approximation....

  • Asymptotic Compression of Interactive Quantum Communication using Type-Constrained de Finetti Reduction

    For many information processing tasks, de Finetti-style theorems can often simplify the analysis in worst-case input scenarios for which the task exhibits some permutation-invariance symmetry, as they can allow for a reduction from an analysis on worst-case inputs to that of i.i.d. inputs. If further information is available on the inputs, it might be advantageous to reflect...

  • On the Limits of Stretching Quantum Pseudorandomness

    Pseudorandom states, introduced by Ji, Liu, and Song (CRYPTO '18), are quantum analogues of classical pseudorandom generators. A fundamental property of classical pseudorandom generators is that their output can be stretched to arbitrary polynomial length. Whether an analogous stretching property holds for quantum pseudorandom states remains unclear. In this work, we prove t...

  • Rotational Vacuum Friction of Nonabsorbing Particles

    A nonabsorbing particle rotating in vacuum can lose angular momentum only by converting mechanical energy into electromagnetic radiation. Here, we develop a quantum theory of rotational vacuum friction for small lossless particles and show that axial symmetry qualitatively changes the leading dissipation channel. At zero temperature, the frictional torque scales as M∝...

  • On the localization transition from MAA to AA models

    Despite their potential similarity between the mosaic Aubry-André (MAA) and AA models, the MAA model allows mobility edges (MEs), whereas the AA model does not. Here we develop a new double quasiperiodic MAA (DMAA) model consisting of one primitive MAA with nonzero even-site potentials and the other modified one with both nonzero odd-site potentials and a tunable amplitude f...

  • Symmetric mass generation of interacting chiral fermions on a one-dimensional lattice without fermion doubling

    Symmetric mass generation is the interaction-induced opening of a fermion gap without spontaneous symmetry breaking. The anomaly-free 3-4-5-0 model of Wang and Wen provides a minimal one-dimensional setting for this phenomenon, but a direct lattice realization faces two obstacles: fermion doubling for local chiral discretizations and perturbative irrelevance of the six-fermi...

  • Exceptional by Design: Long-Range Hopping as a Knob for Exceptional Point Control

    Exceptional points are degeneracies unique to non-Hermitian systems, where eigenvalues and eigenvectors coalesce, rendering the Hamiltonian defective. We investigate the exceptional-point structure and topological properties of a generalized non-Hermitian Rice-Mele model with balanced gain and loss, as well as next-nearest-neighbor hopping. The system hosts only second-order...

  • Nonlinear refractive index of warm rubidium vapor

    The potential to precisely control both the linear and nonlinear index of refraction through optical manipulation of the atomic states has recently pushed warm alkali vapors to the forefront of research in the field of quantum sensors, quantum memories, and quantum fluids of light. Rubidium (Rb) vapor in centimeter-scale glass cells or millimeter-scale MEMS cells has proven...

  • Preparing multi-qudit states in a definite-weight subspace

    We formulate a deterministic algorithm for preparing arbitrary multi-qudit states in a definite-weight subspace. By ordering the corresponding computational basis states according to a Gray code for multiset permutations, the state-preparation task is reduced to performing a sequence of controlled 2-qudit Gray rotations. We use this algorithm to prepare exact eigenstates of...

  • Reachability and optimal-time certificates for quantum control

    Finite-time control is central to quantum technologies, yet rigorous limits on reachable targets and optimal control times remain largely unknown. We develop a framework for finite-time reachability and optimal-time certificates in constrained quantum control based on moment relaxations with implicitly time-dependent differential constraints. For fixed control horizons and c...

  • The Quantum Split-Step Fourier Algorithm for Nonlinear Optical Waveguides

    We introduce the Quantum Split-Step Fourier (QSSF) algorithm for nonlinear optical waveguides, a numerical framework that combines split-step propagation of the nonlinear Schrödinger equation with a commutator-preserving Bogoliubov evolution of Gaussian quantum fluctuations. The method propagates the classical mean field together with the Bogoliubov matrices U and V, fro...

  • The Vector and Canonical Components of the Momentum Operator in 3D Euclidean Space Spanned by General Curvilinear Coordinates

    We construct the Hermitian vector and canonical components of the momentum operator in 3D Euclidean space spanned by general curvilinear coordinates (GCC's) using a simple, natural and unified approach based on identifying the momentum operator in any coordinate system as mass times the velocity operator. When this latter is calculated by applying the Heisenberg equation of...

  • Electrical-Circuit Simulation of the Uhlmann Phase

    The Uhlmann phase extends the concept of geometric phases to mixed quantum states through a parallel-transport condition on purification amplitudes, but its experimental realization has so far required sophisticated quantum platforms with carefully engineered auxiliary degrees of freedom. In this work, we reformulate the Uhlmann parallel-transport condition as a linear matri...

  • No-deleting principle for two unitary copies

    Pati and Braunstein defined a deleting machine and showed the impossibility of deleting one of two identical copies of an unknown quantum state. So far, no one has defined two non-identical copies of a quantum state, of course no one has discussed the impossibility of deleting one of two non-identical copies of an unknown quantum state. In this paper, we define u|ψ> and $U...

  • Exact log-depth preparation of highly entangled matrix product states

    Preparing matrix product states (MPS) on a quantum device is a key subroutine in many quantum algorithms. The most competitive methods, based on the renormalisation group, prepare translationally invariant MPS of size L and bond dimension χ, up to an error ε, in circuit depth O(χ^4log(L/ε)) or O(χ^6loglog(L/ε)). We...

  • Perfect State Transfer on Quotient Graphs in Shunt Decomposition-Based Quantum Walks

    This paper investigates perfect state transfer (PST) in discrete-time quantum walks constructed via the shunt decomposition method. The walks are defined on a graph G and its associated quotient graph G/π, induced by an equitable partition π. Through the shunt decomposition of G, we derive an explicit relation between the shift operator of the parent graph G and th...

  • Free-Space CV-QKD with Single-Mode Fiber Reception: Effective Coupling Statistics and Protocol-Dependent Reference Noise

    We study free-space continuous-variable quantum key distribution (CV-QKD) with single-mode fiber (SMF) reception under atmospheric turbulence. The optical channel is modeled by split-step propagation through random phase screens, followed by finite-aperture collection and projection onto the guided receiving mode. We first examine the standard GG02 setting and ask which rece...

  • On the Berry-Keating Operator

    We review here two different viewpoints on the Berry-Keating operator H_(BK), whose connection to the Riemann hypothesis remains an intriguing and not yet fully understood question, despite considerable attention in the recent literature. In particular, we propose two somehow complementary views to H_(BK): the first is based on a purely Hilbertian point of view, on dilat...

  • Multipartite synchronization residuals in driven-dissipative spin networks

    We introduce a phase-space measure of quantum synchronization that quantifies relative phase localization for two-qubit and three-qubit systems. This measure is built from the first angular moments of phase distributions obtained from Husimi-Q quasiprobability functions. Using this framework, we formulate a new class of synchronization residuals, motivated by subadditivity-t...

  • Wigner's Phase Space Current for Variable Beam Splitters -- Phase Space Rotations and Newtonian Trajectories

    Beam splitters allow us to superpose two continuous single mode quantum systems. To study the behaviour of beam splitters' strongly mode mixing dynamics we consider variable beam splitters acting on Wigner's phase space distribution, W , the evolution of which is governed by the continuity-equation {\partial τ} W = - {\nabla} J. We derive the form of the corresponding Wigner...

  • Universal Extraction of Quantum Critical Exponents and Phase Transitions via Tailored Hilbert Space

    Finite-size scaling and the renormalization group form the central toolkit for analyzing quantum phase transitions (QPTs). In this Letter, we introduce a novel Hilbert-space tailoring scheme to probe quantum critical phenomena. Applied to the second-order QPT of the one-dimensional (1D) XY model, our method yields precise critical points and exponents on lattices containing...

  • Non-adiabatic transitions in the density matrix formalism

    We show that a density matrix formalism provides a useful description of non-adiabatic transitions in two-state quantum systems. Compared to a traditional Hamiltonian formalism, even in the absence of decoherence when there is full equivalence between the two, the density matrix formalism provides a convenient change of variables that yields a powerful general analytical sol...

  • Discovery of connectivity-trainability trade-off of IQP Circuits for Hamiltonian Optimization

    Instantaneous Quantum Polynomial-time (IQP) circuits are promising candidates for near-term quantum advantage due to the conjectured classical hardness of their sampling task. However, their capabilities for optimization remain largely unexplored. We present a systematic investigation of the performance and trainability of IQP circuits for Hamiltonian optimization. Our resul...

  • Doppler-enhanced superheterodyne Rydberg microwave receiver

    We report the enhanced sensitivity of the Rydberg microwave (MW) receiver by exploiting the Doppler effect in a vapor cell. A two-photon Rydberg ladder scheme is implemented via the co-propagation of probe and coupling lasers, which enhances the Doppler effect. When an MW field is applied, microwave dressing modifies the velocity-dependent resonance condition, enabling stron...

  • Monitoring Beam Splitter Entanglement using Quantumness

    We report on an experiment in which two independent squeezed vacuum states get entangled by mixing them with a balanced beam splitter. We follow standard practice and use an inseparability criterion to quantify their entanglement. However, this only allows us to witness the entanglement, but not to determine the deleterious effects of experimental imperfections due to the be...

  • From Spectral Singularities to Multipartite Entanglement Scaling at Higher-Order Exceptional Points

    Exceptional points (EPs) are non-Hermitian spectral singularities exhibiting fractional-power responses, yet their implications for multipartite entanglement of interacting quantum many-body systems remain largely unexplored. Here we develop a general framework that links higher-order non-Hermitian degeneracies to the scaling behavior of genuine multipartite entanglement in...

  • Dynamical low-rank methods for the Wigner equation I: separable difference potential

    Recent advances in dynamical low-rank approximation (DLRA) have demonstrated its effectiveness in high-dimensional simulations. However, existing DLRA algorithms still face significant challenges when handling systems that involve complex collision terms, including the pseudo-differential operator (rmΨ) in the Wigner equation, a representative operator characterized by...

  • Initial-state-dependent dephasing effect in non-Hermitian Su-Schrieffer-Heeger models

    Understanding the dynamical evolution of non-Hermitian systems under extra external dissipation is essential. Dephasing, a major realistic dissipation, is conventionally considered detrimental to information processing. However, its impact on non-Hermitian systems remains largely unexplored. Here, we focus on finite-sized non-Hermitian Su-Schrieffer-Heeger (SSH) lattice mode...

  • Low Spatial Cost CCZ Magic State Factory

    We propose a design framework for reconstructing gate-based magic state distillation protocols as compact joint-measurement architectures implementable with the surface code. The goal is to reduce the surface-code resource cost of a magic state factory while preserving the logical function and error-detection structure of the distillation protocol. We construct a reduced arc...

  • Gate-Controlled Spin Qubits in Confined Altermagnets

    We propose gate-defined spin qubits in electrostatically confined altermagnetic quantum dots. Elliptical confinement of the d-wave altermagnetic structure produces a low-energy doublet with opposite spin polarization. For the range of parameters used here, the qubit states energy gap lies in the microwave range while the leakage gap remains in the meV range. Even without s...

  • Qubic Raises $2.5 Million Seed Round for Quantum Computing Hardware

  • BTQ Technologies Appoints Brandt Pasco as Post-Quantum Cryptography Advisor

  • Aegiq Uses NVIDIA cuQuantum to Develop Quantum-Ready CFD Methods

Desk

Chips

45 chip stack items collected on 2026-06-24; memory, packaging, compute, and foundry signals routed.

All collected Chips items (39)

Compute Accelerators

Memory and Advanced Packaging

Foundry, Tools, and Capex

Unrouted Items

Desk

Power

27 power layer items collected on 2026-06-24; data center load, grid, generation, and cooling signals routed.

All collected Power items (17)

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

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

  • 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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