Frontier Signals

Daily brief · All editions

June 30, 2026

The Open Compute Project finalizes QPU-in-data-center integration standards on the same day AMD enters TSMC 2nm production for EPYC Venice, while EIA's Annual Energy Outlook 2026 projects US data center server energy reaching 446-818 BkWh by 2050.

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

118 tracked items · 3 desks

The day's read

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Operator brief

  1. [rising] Power demand planning has a new long-range baseline. EIA's AEO2026 projects data center server electricity consumption at 446 BkWh (low case) to 818 BkWh (high case) by 2050, with standalone data centers absorbing the largest share of growth. Virginia already absorbed nearly 30 million MWh in commercial electricity growth between 2019 and 2025, driven primarily by data center concentration. Operators without secured long-horizon power agreements face both cost and supply risk in constrained grid regions.

  2. [rising] Quantum infrastructure is entering the data center planning cycle. OCP's new QPU integration framework defines mechanical, thermal, and electrical rules for deploying Quantum Processing Units inside production data centers and AI factories. Standards finalization typically precedes procurement activity by 2-4 years; infrastructure planners building 2028+ roadmaps should begin evaluating QPU rack, power, and cooling allocations.

  3. [flat] Advanced node supply is ramping but allocation windows are compressing. AMD has entered production on TSMC 2nm with EPYC Venice, and NVIDIA continues to distribute Blackwell across enterprise servers and sovereign AI deployments across Europe and Asia. Demand for leading-edge foundry capacity remains high across CPU and GPU markets; next-generation inference capacity windows are likely to tighten through 2027.

Quantum

  • P1 OCP Establishes QPU-in-Data-Center Integration Standards

    OCP's Future Technologies Initiative finalized a community framework defining the architectural, mechanical, thermal, and electrical integration rules required to deploy Quantum Processing Units inside production data centers and automated AI factories.

    The read: Standards bodies formalizing integration specifications typically signal that closed pilot deployments are already underway. Data center architects designing 2028-and-beyond facilities should treat this as a credible procurement precursor for hybrid classical-quantum racks.

  • P2 NIST and SRI International Launch $20M Quantum Manufacturing Engineering Center

    NIST commits $20 million as anchor funding for the Quantum Manufacturing Engineering Center (QMEC), a public-private effort with SRI International focused on closing the gap between laboratory quantum hardware and commercial production at scale.

    The read: A federally anchored manufacturing center targets specific yield and reproducibility bottlenecks that private investment alone has not resolved. The hardware modalities chosen for QMEC's initial funded projects will indicate which platforms the US government considers closest to producible.

  • P2 IBM Releases Qiskit Paulice for Low-Overhead Spacetime Error Detection

    IBM Quantum launched Qiskit Paulice, an open-source Qiskit add-on that automatically identifies, scores, and injects hardware-efficient spacetime Pauli check error-detection codes into near-term Clifford circuits.

    The read: Tooling that reduces QEC overhead without requiring fault tolerance extends the useful window of current NISQ-class devices. Developers running variational or hybrid workloads should evaluate Paulice for practical readout noise mitigation at low circuit depth.

Chips

  • P1 AMD EPYC Venice Enters Production on TSMC 2nm

    AMD announced production ramp of next-generation EPYC "Venice" server processors on TSMC 2nm process technology.

    The read: Venice on 2nm is the first major server CPU on this node, positioning AMD to deliver improved compute density for data center builds in late 2026 and into 2027. Buyers evaluating server refresh cycles should factor Venice availability into procurement timelines.

  • P2 Semiconductor Engineering Week-in-Review: IBM 7-Angstrom, Onsemi/Synaptics, $250M CHIPS Act Award

    Semiconductor Engineering's weekly roundup covers IBM's 7-angstrom chip process with 40% more SRAM area, Onsemi's acquisition of Synaptics, a $250 million CHIPS Act award (recipient not extracted from feed), and a new advanced packaging site.

    The read: Higher SRAM density on IBM's 7-angstrom node reduces dependence on external HBM for certain AI inference workloads. The advanced packaging site addition reflects continued private investment in heterogeneous integration capacity.

  • P2 NVIDIA RTX PRO Blackwell Server Edition Rolls Into Enterprise Server Platforms

    NVIDIA announced RTX PRO 6000 Blackwell Server Edition GPU availability across major enterprise server form factors, targeting CPU-to-accelerated compute migration.

    The read: Inserting accelerators into existing enterprise server form factors lowers the adoption barrier for organizations not ready to build dedicated AI factory infrastructure. This is a market diffusion signal, not a frontier performance announcement.

Power

  • P1 EIA AEO2026: Data Center Server Energy Reaches 446-818 BkWh by 2050

    EIA's Annual Energy Outlook 2026 projects data center server electricity consumption rising substantially through 2050, with standalone data centers absorbing more growth than all other data center room types combined.

    The read: Infrastructure planners who anchor long-term power agreements to today's data center density will face material underestimates within a 10-year window. The low-versus-high spread of 372 BkWh reflects genuine uncertainty in AI workload intensity growth. Power procurement strategies need scenario flexibility, not point estimates.

  • P1 Virginia Commercial Electricity Growth: +30M MWh Between 2019 and 2025, Data Center Driven

    Virginia recorded a nearly 30 million MWh increase in commercial electricity sales between 2019 and 2025, driven primarily by data center concentration, with faster growth than any other state except Texas.

    The read: Virginia's grid is already absorbing concentrated data center load at a scale no other state has matched. This is a leading indicator of grid stress conditions that high-concentration states like Texas, Arizona, and Ohio will face within 3-5 years. Operators planning new sites in these markets should factor in interconnection queue delays and capacity pricing risk.

  • P2 CAISO: Solar Generation Surpassed Natural Gas for First Five Months of 2026

    Utility-scale solar surpassed natural gas generation in California's grid for the first five months of 2026, with solar rising 21% year-over-year while natural gas fell 60%.

    The read: A 60% drop in gas-fired generation in CAISO is structurally significant and reflects both solar oversupply during daytime hours and shifting dispatch economics. Data center operators in California relying on gas-based standby power assumptions should reassess backup and UPS strategies in light of changing grid dynamics.

  • P2 SunZia Wind Project (3,650 MW) Begins Commercial Operations in New Mexico

    SunZia Wind, the largest wind farm in the United States at 3,650 MW across 916 turbines, is beginning commercial operations in New Mexico.

    The read: SunZia adds substantial renewable generation to the Southwest grid. Combined with accelerating Texas solar in ERCOT, the US Southwest is consolidating as a structurally favorable region for renewable-backed data center siting.

AI Compute

  • P1 NAVER Expands Sovereign AI Infrastructure Starting at 55 MW with NVIDIA DSX

    NAVER and NVIDIA announced NAVER will build out sovereign AI infrastructure beginning at 55 megawatts, with a stated pathway to gigawatt scale using the NVIDIA DSX platform for full-stack AI deployment.

    The read: 55 MW is a credible near-term commitment; gigawatt-scale represents a multi-year stated intention, not a current contract. NAVER's announcement, alongside SK Telecom's parallel Korea gigawatt-scale AI cloud announcement, signals a concentrated sovereign AI infrastructure buildout in South Korea using NVIDIA infrastructure as the common denominator.

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

    NVIDIA announced a Germany-based industrial AI cloud for European manufacturers, comprising 10,000 GPUs including DGX B200 systems and RTX PRO Servers, targeting manufacturing applications from design and simulation to factory digital twins.

    The read: The 10,000-GPU figure is a concrete deployment density reference for European industrial AI factory design. European manufacturers accessing this shared infrastructure are effectively outsourcing AI capex; the tradeoff is reduced control over data sovereignty and workload scheduling.

  • P2 Foxconn and Taiwan Government Co-Build Blackwell AI Factory Supercomputer

    Foxconn, NVIDIA, and the Taiwan government announced a jointly developed AI factory supercomputer using NVIDIA Blackwell infrastructure, targeting researchers, startups, and industrial users in Taiwan.

    The read: Taiwan's government involvement alongside Foxconn (a major NVIDIA OEM partner) positions this as both strategic and commercial. Compute capacity and access model details are not yet public; watch for subsequent announcements with hardware specifications.

Collected items by desk

Desk

Quantum

70 quantum research items collected on 2026-06-30; hardware, control, and industry signals routed.

All collected Quantum items (59)

Hardware and Error Correction

  • Cavity-mediated probabilistic magic T-gate injection

    Non-Clifford gates are a necessary resource for universal quantum computation, yet their fault-tolerant implementation typically relies on magic-state distillation, which incurs significant overhead in qubit count and circuit depth. In this work, we propose a probabilistic cavity-based magic-state injection protocol. Our scheme exploits controlled atom-cavity interactions an...

  • Untangling QLDPC Codes with Biased Noise Ancilla

    Remarkable technical progress has made high-rate, high-distance, quantum low-density parity-check codes (QLDPC) promising candidates for scalable quantum computing. However, it is hard to design low-depth syndrome extraction circuits that do not spread errors from ancilla qubits to multiple data qubits, also known as hook errors, for general QLDPC codes. Additionally, widely...

  • Bridging the NISQ and Fault-Tolerant Regimes: Generative-ML-Assisted Quantum Selected CI for Molecular Simulations

    Calculation of binding energies for protein-ligand molecular systems requires accurate treatment of the electronic structure, a quantum chemistry problem that scales exponentially on classical hardware, while current quantum hardware remains too noisy for the required circuit depths. This report presents a hybrid quantum-classical workflow performed on the Fujitsu FX700 idea...

  • Quantization and Biphoton Statistics of k-Gap Solitons in Nonlinear Photonic Time Crystals

    Nonlinear photonic time crystals (PTCs) can support solitons inside momentum k gaps, where the amplification of k gap modes is saturated by Kerr nonlinearity, forming spatially homogeneous but temporally localized excitations. Yet their quantum nature remains unclear. Here we quantize nonlinear k gap dynamics of PTCs and show that k gap solitons are represented by biphoton F...

  • Blueprint for a fault-tolerant compound photon-atom quantum architecture

    Fault-tolerant quantum computing requires architectures that simultaneously address scalability, connectivity, and error correction under realistic noise constraints. We present a compound photonic-atomic quantum computing platform that uses cavity QED to realize near-deterministic entangling operations between flying photonic qubits and stationary atomic qubits. Photons pro...

  • Learning the structure of open quantum systems

    We design an algorithm for learning the coefficients of an n-qubit constant-local Lindbladian to ε error with O(g d^2 log(n) / ε^2) total evolution time, where g is the single-site energy and d is the (approximate) degree of the interaction graph. Though Lindbladians present new challenges not present in the special case of Hamiltonians, our al...

  • Phase-Altered Interleaved Randomized Benchmarking for Compiled Quantum Gates

    Interleaved randomized benchmarking (IRB) provides a scalable estimate of a gate's error rate, but its standard guarantees require the interleaved gate to be Clifford~\cite{Magesan2012Interleaved,magesan2012characterizing}. In superconducting processors, many non-Clifford phase gates in compiled circuits are implemented virtually as software-defined frame updates rather than...

  • All-optical switching of continuous-variable entanglement in an absorption-suppressed plasmonic nanodimer

    A subwavelength quantum-photonic circuit element should simultaneously generate nonclassical light, suppress plasmonic loss, and remain dynamically tunable. We show that an orthogonal plasmonic nanorod dimer can satisfy all three requirements. A phase-locked control polarization induces plasmonic refractive-index enhancement, driving the probe response toward a near-zero-ext...

Control and Quantum-AI Integration

  • Revisiting crossed-correlated baths in open quantum systems simulated by HEOM or T-TEDOPA

    Excited-state dynamics of open quantum systems is analyzed by the hierarchical equations of motion (HEOM) or the thermalized time-evolving density operator with orthogonal polynomials algorithm (T-TEDOPA) method when a discrete ab initio linear vibronic model is parametrized by continuous temperature-dependent spectral densities leading to crossed correlation functions,...

  • Working with measurement-based computations on qudits

    Measurement-based quantum computing is a universal model of quantum computation in which successive product measurements of an entangled resource state drive the computation. The non-deterministic nature of measurements necessitates adaptivity to ensure an overall deterministic computation. Flow structures characterise cases in which such an adaptive correction procedure is...

  • Staged Hybridisation for Visual Quantum Reinforcement Learning via Knowledge Distillation

    Visual environments are a demanding setting for quantum reinforcement learning (QRL): high-dimensional observations, unstable RL optimisation, and constrained variational quantum circuits (VQCs) are difficult to train jointly. This paper studies knowledge distillation (KD) as a staged hybridisation strategy for visual QRL. Instead of training a hybrid visual agent end-to-end...

  • Stable Qubit Readout and the Identifiability of Population Change

    Stable readout statistics are often taken as evidence for a well-defined physical response, but stability alone need not identify which state quantity has changed. We analyze this issue for finite collections of qubit states measured by binary readouts, focusing on changes in computational-basis population. The central question is when reproducible response data certify the...

  • Action on the Sphere: An Interfering Mean-Field Propagator for the Bose-Hubbard Dimer

    The Bose-Hubbard system has been studied extensively both theoretically and experimentally, in particular in the context of ultracold atomic gases in optical lattices. Even in the two-mode case the many-particle dynamics display complex interference effects resulting in revival and breakdown phenomena as well as tunnelling. The most basic theoretical description is the mean-...

  • A Modular Benchmark of Variational Quantum Attack Algorithms for S-DES

    Variational quantum algorithms (VQAs) have emerged as a promising approach to quantum cryptanalysis on noisy intermediate-scale quantum (NISQ) devices. Although numerous variational attack schemes have been proposed for symmetric cryptosystems, a systematic and modular benchmarking framework to evaluate their performance is still lacking. In this work, we present a comprehen...

  • RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines

    Quantum computing provides a powerful paradigm for representing and transforming high-dimensional information through superposition, entanglement, and measurement-induced nonlinear features. While current quantum hardware is not yet practical for direct large-scale vision-language model (VLM) inference, simulated quantum computation can be used during model construction to g...

  • WiMi Explores Neural Networks for Twin-Field Quantum Key Distribution Optimization

Commercial and Industry Context

Unrouted Items

  • Authentication in Quantum Networks

    In this review, we survey the cryptographic task of authentication from the perspective of quantum communication. We review three main flavours of authentication that are often conflated in the literature: authentication of classical messages, authentication of quantum messages, and entity authentication, also covering recent hardware-assisted approaches. We compare represen...

  • Provable random-matrix spectral ramp in a static, geometrically local Hamiltonian

    Quantum chaos is commonly associated with the emergence of random-matrix statistics in the spectra of quantum systems. A useful diagnostic is provided by the spectral form factor (SFF), which for random matrix ensembles displays a universal linear-growth regime (`ramp'). In the last decade, a landmark result by Bertini, Kos and Prosen (BKP) identified for the first time a cl...

  • Provably Efficient Learning of Fermionic Correlations under Particle-Number Symmetry

    Predicting local fermionic correlations is a central task in quantum many-body physics, as these correlations encode many physically relevant local observables. The ubiquitous particle-number symmetry imposes strong structural constraints on quantum states, suggesting that local correlations should be learned with fewer samples than by symmetry-agnostic approaches. However,...

  • Finite-size effects in Schulz-Shastry-Luttinger models for determining anyonic signatures in 1d spin chains

    We study finite-size properties of Schulz-Shastry-Luttinger liquids to reveal anyonic signatures, realized as low-energy excitations on top of the helical ground state in saturated spin-1/2 zigzag chains. The model features asymmetric and marginal couplings of density and phase gradients and belongs to the Schulz-Shastry class. We investigate periodic and Dirichlet boundary...

  • Demonstration of unpartible entanglement

    We report on the first experimental verification of mode-independent entanglement. Commonly, the entanglement of a state is firmly based on pre-defined parties that are correlated, and the state might be disentangled when the definition of the parties is changed. Exceeding this party-dependent concept, we realize a type of quantum entanglement that persists even if the parti...

  • Modulation theory formulation of atomic light-matter interaction

    We provide a re-formulation of the light-matter interaction of trapped-atom systems in terms of classical modulation theory. We introduce commuting ``mean'' quadrature operators together with ``deviation'' operators that describe the quantum fluctuations resulting from the uncertainty principle. From the ``mean'' position operator stems an accurate approximate expression for...

  • Connecting Density Matrix Spectroscopy to Biexciton Entanglement Dynamics

    Quantum entanglement is one of the most intriguing features of quantum mechanics. To investigate the entanglement between two excitons in a biexciton, an experimental technique called density matrix spectroscopy (DMS) has recently been developed. DMS combines stimulated emission tomography and pump-probe techniques to obtain a time-resolved density matrix of the polarization...

  • Quantum-enhanced Monte Carlo Tree Search framework for combinatorial optimization problems

    Over the past decades, the operations research community has developed numerous effective optimization algorithms, yet quantum computing is emerging as a new computational paradigm with the potential to approach optimization problems more efficiently. Grover's algorithm offers a provable speedup for combinatorial optimization, but its circuit depth places it beyond current n...

  • Provable Quantum Advantage for Dynamical Phase Transition

    The universal scaling of critical behavior in phase transitions is a cornerstone of physics. Dynamical quantum phase transitions (DQPTs) are their nonequilibrium analogues: abrupt nonanalyticities that emerge as a quantum system evolves in time. Yet the hardness and cost of detecting this phenomenon remain largely unexplored. We prove that estimating DQPT to a certain precis...

  • Quantum Lazy Sampling and Path Recording for Any Group

    A central challenge in quantum algorithms and cryptography is reasoning about algorithms with oracle access to a random group element (e.g. a random function, permutation, or unitary). Can we efficiently simulate such algorithms? Can we determine what they know after t queries? A classical tool for this is lazy sampling: the oracle does not commit to the full group element u...

  • Existence and absence of Bose-Einstein condensation in the interacting random Kac-Luttinger model

    In this paper, we study interacting bosons at zero temperature in a random and higher-dimensional continuum model introduced by Kac and Luttinger. For weak interactions we prove that there is condensation in the lowest eigenstate of the one-particle Hamiltonian (type-I BEC). For strong interactions, however, we show that condensation in a localized state cannot occur. We als...

  • Quantum percolation based dynamic propagation connectivity for critical-area identification in transport networks

    Transport networks often lose functionality through gradual degradation in link operating conditions before topological disconnection occurs. Link-centred and binary percolation measures identify important facilities or connectivity failures, but they provide limited information on which spatial areas cause the largest loss of network-wide propagation capability. This paper...

  • Exact calculation of entanglement negativity for a 1+1D massless scalar field using phase space methods

    Quantum fields exhibit a rich entanglement structure which is still not fully understood. In this work, we study the entanglement structure of the vacuum state of a massless scalar field in (1+1)-dimensions -- a paradigmatic case for both high energy and condensed matter physics. We fully characterize the entanglement negativity between two arbitrary compact spacelike-separa...

  • Multiparameter Quantum Estimation and Degeneracy Structure in Three-Flavor Neutrino Oscillations

    Achieving precision measurements of neutrino oscillation parameters and resolving parameter degeneracies remain central challenges in neutrino physics. This work presents a systematic investigation of three-flavor neutrino oscillations within the framework of quantum estimation theory using the quantum Fisher information matrix (QFIM). The behavior of all six independent ele...

  • Quantum percolation theory for dynamic propagation connectivity of transport networks

    Connectivity degradation in transport networks under structural disturbance is a central problem in network resilience research. Existing methods rely mainly on percolation theory and topological connectivity measures. They focus on whether paths exist and whether connected components fragment. These approaches cannot capture functional degradation where network topology rem...

  • Quadratic Gauge Transformation

    Symmetries plays a significant role in understanding the conservation laws in Quantum field theories. Here, we attempted a quadratic type dimensionless gauge transformation to achieve the invariance in QFTs. We have shown the extensive study of invariance of complex scalar, Abelian and Non- Abelian theories and established the conservation laws. We included an explicit graph...

  • Spin bath mediated long-lived coherent oscillations of NV centers in diamond

    Decoherence is the biggest bottleneck in all quantum technologies. For nitrogen-vacancy (NV) centers in diamond, the loss of coherence is caused by the electron and nuclear spin bath of the diamond lattice. Here, we demonstrate that the spin bath - that typically causes decoherence - entangles the spin states of the NV electron and the host ^(14)N nucleus. The many-body in...

  • Enhanced Magnon Synchronization in Coupled WGM Optomagnonic Resonators with Phase-Dependent Photon Hopping

    We investigate quantum synchronization in a coupled cavity optomagnonic system which consists of two spatially separated optical whispering-gallery-mode (WGM) resonators and each resonator is also coupled to a yttrium iron garnet (YIG) sphere through the optomagnonic interaction. Phase-dependent single-photon hopping factor couples the two optical resonators and provides an...

  • Programmable generation of flying cat-qubits

    We propose a framework for the direct generation of flying cat-qubit states from vacuum using time-dependent two-photon drives in nonlinear bosonic systems. We study both Kerr-based and two-photon-dissipation-based generation. By engineering Kerr nonlinearity, two-photon driving, and dissipation, we demonstrate logical control of a cat qubit during its generation and emissio...

  • Hall viscosity from metric-sensitive dichroic probes

    Hall viscosity characterizes the geometric response of a quantum Hall droplet to deformations of the underlying metric, yet it has remained difficult to measure directly. We propose a spectroscopic probe based on circular dichroism, using chiral metric-sensitive drives -- implemented as rotating quadrupolar ("saddle") perturbations -- that effectively modulate the metric and...

  • Perfect elliptic dichroism: Probing the metric of anisotropic quantum Hall droplets

    Understanding the geometry of quantum Hall systems is a central challenge in modern condensed matter physics. We introduce a framework for probing the geometric structure of quantum Hall droplets by engineering the geometry of a dichroic probe and identifying the onset of "perfect elliptic dichroism", a regime in which the system responds exclusively to an elliptically polar...

  • Coherent Control of Quantum and Classical Correlations in Photoionization

    The ability to control quantum correlations in strongly driven systems is a central challenge across quantum science, with implications for ultrafast dynamics, quantum control, and information processing. In photoionization, the emitted electron and residual ion may form an entangled system whose correlations encode the underlying light-matter interaction, yet control of the...

  • Deterministic nonlinear bunching of bosons

    The ability of bosonic energy quanta to bunch together in an energy-conserving interaction is a fundamental feature of quantum harmonic oscillators. Linear systems together with measurement allow for the conditional concentration of energy quanta and, subsequently, breeding of the quantum states, but only with an exponentially decreasing success rate. Deterministic, energy-c...

  • Equality Conditions for an Additive Three-Observable Uncertainty Relation

    Uncertainty relations play a fundamental role in quantum mechanics by quantifying the intrinsic limitations on the simultaneous sharpness of incompatible observables. Beyond the standard two-observable product form, additive uncertainty relations for triples of observables provide a natural framework for describing collective constraints among three noncommuting components....

  • Rendering Coherent Scattering via Quantum Collision Models

    Traditional light rendering techniques treat the optical properties of materials as static, yet this assumption breaks down in cases where these properties dynamically evolve in response to incident illumination. We present a novel shading framework that combines classical ray-tracing with a quantum collision model to explore the effect of coherent light-matter interactions...

  • Temporal modes of quantum states of light scattered by a two-level system

    Non-Gaussian quantum states of light are of paramount importance to quantum computing. Nevertheless, their deterministic generation is challenging problem due to the difficulty to control nonlinearities in physical systems. In this work, we characterize the light stemming from one of the most fundamental quantum optics configurations: the unidirectional scattering of multimo...

  • Texas A&M Researchers Invent Laser-Based ‘TRIP’ Spectroscopy to Quantify Noncovalent Quantum Forces in Drug Discovery

    (A) Aromatic π-π stacking interactions exist in protein and protein complexes. (B) Overview of the workflow using TRIP for direct measurement of π-π stacking in the dimers of SARS-CoV-2 main protease, Mpro. A interdisciplinary research team spanning the Institute for Quantum Science and Engineering (IQSE) and the departments of Chemistry, Biology, and Electrical & Com...

  • Who’s News: Strategic Advisory Appointments at LFI and BTQ Technologies

    LFI has appointed Michael Datta to its Board of Advisors, effective June 20, 2026. Datta is a veteran operator in defense and manufacturing sectors with over 20 years of experience founding, scaling, and advising companies across the US-Australia corridor. He is currently Co-Founder and Chief Strategy Officer at Ares Armaments and a Strategic Advisor at [...] The p...

  • Open Compute Project Foundation Establishes Data Center Architecture Standards for Multi-Modal QPU Infrastructure Integration

    The Open Compute Project (OCP) Foundation’s Future Technologies Initiative (FTI) has finalized a landmark global community framework outlining the core architectural, mechanical, thermal, and electrical integration rules required to deploy Quantum Processing Units (QPUs) inside production data centers and automated AI factories. The joint white paper—co-authored by a mult...

  • A Deeper Dive Into the Recent White House Executive Orders

    By Doug Finke Ever since the White House released the new Executive Orders on quantum technology a few days ago, we have received numerous comments on them. If you haven’t already seen them, you can view our report on these Executive Orders here and a related report on the announcement from the U.S. Department of [...]

  • South Korea Commits 200 Trillion Won to R&D, Quantum Listed as Strategic Tech

  • SEEQC Files Registration Statement for Proposed Initial Public Offering

  • NIST Taps SRI to Establish The Quantum Manufacturing Engineering Center (QMEC)

  • Texas A&M Researchers Develop Quantum Technique for Drug Discovery

  • QuTech Demonstrates Coherent Diamond Quantum Emitter Interface for Quantum Networks

Desk

Chips

47 chip stack items collected on 2026-06-30; memory, packaging, compute, and foundry signals routed.

All collected Chips items (39)

Compute Accelerators

Memory and Advanced Packaging

  • Chip Industry Week In Review

    Onsemi to buy Synaptics; IBM's 7Å chip w/40% more SRAM area; 1nm MoS2 nanotubes; AI pressure points; memory updates; $250M CHIPS Act award; trade secret theft; new advanced packaging site; MEMS capacity; humanoids; earnings.

Custom Silicon and Networking

Foundry, Tools, and Capex

Unrouted Items

Desk

Power

30 power layer items collected on 2026-06-30; data center load, grid, generation, and cooling signals routed.

All collected Power items (20)

Data Center Power Demand

  • Metered electricity demand in the New York ISO falls midday because of small-scale solar

    An increase in electricity generation from small-scale solar in New York has decreased the midday demand for metered electricity, amid overall declining load in the state. The trend is particularly notable in the early spring (March and April), when solar generation has an outsized impact because demand is relatively low and conditions for solar generation are favorable.

  • 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

  • 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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