Frontier Signals

Daily brief

June 14, 2026.

60 quantum research items collected on 2026-06-14; hardware, control, and industry signals routed.

98 items · Quantum, Chips, Power · All briefs

Quantum

60 quantum research items collected on 2026-06-14; hardware, control, and industry signals routed.

Hardware and Error Correction

  • Diffusive Dynamics of Nonstabilizerness

    Symmetries shape the quantum-information dynamics of many-body systems, but their effect on nonstabilizerness, the resource complementary to entanglement, is less understood. We compute the stabilizer Rényi entropy, a measure of nonstabilizerness, in $\mathrm{U}(1)$-symmetric one-dimensional random circuits. The disorder-averaged dynamics is captured by a four-replica tensor...

  • Approximability limits for bounded-degree max-LINSAT and implications for decoded quantum interferometry

    For general max-k-XORSAT with $k \geq 3$, no polynomial-time algorithm can do substantially better than random guessing on worst-case instances unless $\mathsf{P} = \mathsf{NP}$: approximating beyond the random-assignment value of $1/2$ is $\mathsf{NP}$-hard. The picture changes when each variable appears in at most $D$ constraints. In that bounded-degree setting, polynomial...

  • Approximate quantum error correction theory of non-isometric codes

    Non-isometric encoding arises in various important contexts in quantum error correction, most notably in the finite-energy, non-ideal codewords inevitable in experimental realizations of continuous-variable codes, and holographic quantum gravity. In this work, we present a general and systematic theory of non-isometric quantum error-correcting codes. In particular, we employ...

  • Quantum Logic Codes: Complete Transversal Logical Clifford Instruction Sets for High-Rate Stabilizer Quantum Error Correcting Codes

    We study the structure and transversal logical capabilities of stabilizer quantum error correcting codes. Among our results, we identify universal lower bounds on circuit depth to generate a full logical Clifford algebra, and develop novel constructions of logical transversal gates including a new depth-one transversal phase $\mathrm{\overline{S}}$ gate in the rotated surfac...

  • Observation of Non-Gaussian Magnon Dynamics in a Two-Dimensional Long-Range XY Model

    Non-Gaussian evolution of high-order spin correlations characterizes important properties of quantum many-body systems. In practice, decoherence, statistical fluctuation and miscalibration of experimental parameters all hinder the witness of non-Gaussian dynamics. Here we demonstrate the crossover between Gaussian and non-Gaussian dynamics on a two-dimensional XY model with...

  • Invariant Measures and Weak-Magic-Injection Asymptotics in Random Monitored Quantum Circuits

    Monitored quantum circuits provide a natural setting in which scrambling, measurements, and measurement-conditioned updates compete within a stochastic many-body dynamics. From the viewpoint of nonstabilizer resource theory, this competition is especially relevant because Clifford-compatible operations preserve the stabilizer structure, while weak non-Clifford perturbations...

  • Foundations of Practical Quantum Advantage in Quantum-Informed Machine Learning for Predicting Chaos

    We develop theoretical foundations for a practical quantum-advantage mechanism in quantum-informed machine learning for chaotic dynamical systems. A family of k-indexed higher-order quantum statistical priors (Q-Priors) hosts the k-point marginal of the invariant measure on n_q = kq qubits, extending the single-site construction of prior work. We prove a two-stage advantage....

  • Kerr-induced nonreciprocal transparency and group delay in a hybrid cavity magnomechanical system

    We propose a scheme for realizing nonreciprocal transparency, Fano resonances, and slow/fast light in a hybrid cavity magnomechanical system containing two YIG spheres and a mechanical resonator. The nonreciprocal behavior originates from the magnon Kerr nonlinearity, which induces direction-dependent frequency shifts and modifies the interference pathways among cavity photo...

Control and Quantum-AI Integration

  • An LLM System for Autonomous Variational Quantum Circuit Design

    The design of high performing quantum circuits remains largely dependent on human expertise. We introduce an autonomous agentic framework that employs large language models (LLMs) to conduct iterative quantum circuit designs under explicit design constraints. Our system integrates seven components: Exploration, Generation, Discussion, Validation, Storage, Evaluation, and Rev...

  • Coupling-Grouped XY-QAOA for Joint Anomaly-Feature Selection

    Selecting anomalous samples and explanatory features under fixed budgets defines a coupled constrained-optimization problem. Sequential feature-first selection ranks features before choosing samples, which can overlook features whose utility depends on which samples are selected, especially when scores are calibrated from reference data that may be limited, noisy, or driftin...

  • Hamiltonian-Aware ADAPT Variational Quantum Eigensolver for Molecular Ground-State Simulation

    Designing compact ansätze in Variational Quantum Eigensolver (VQE) is crucial for solving energetic problems of practical molecules on near-term quantum devices. However, existing Adaptive Derivative-Assembled Pseudo-Trotter (ADAPT) ansätze face two challenges: improper operator selection and accumulation of degraded operators. In this paper, we propose the Hamiltonian-Aware...

  • Experiment-compatible measurement--feedback quantum state preparation with reinforcement learning

    Ground-state preparation is a critical task in quantum simulation and quantum computing, as it enables the study of correlated phases and the generation of entangled resource states. While measurement--feedback control has emerged as a promising route to state preparation, existing schemes either rely on handcrafted, task-specific policies or are designed using full quantum-...

  • Continuum Neural Momentum Eigenstate for Variationally Solving Quasiparticles

    We design the first neural quantum state for continuum particles that, for any chosen allowed momentum $\mathbf{k}$, is by construction an exact eigenstate of total momentum with eigenvalue $\mathbf{k}$. Our architecture, EVE, enables off-the-shelf VMC to solve for momentum-sector ground states. We test EVE on 2D bosons with mutual $1/r$ interactions, finding that a single u...

  • Graph Reinforcement Learning for Calibration-Aware Quantum Circuit Routing

    Quantum circuit routing is a key step in compiling programs for noisy intermediate-scale quantum processors. Routes that appear efficient by standard overhead metrics can still lose fidelity when they pass through poorly calibrated couplers. We study a calibration-aware graph reinforcement-learning router that uses same-day IBM Heron r2 calibration data to choose hardware-ed...

Commercial and Industry Context

  • Generalized two-qubit Hamiltonian for Projective Quantum Feature Maps

    Projected quantum feature maps provide a strategy for using quantum processors as feature generators for classical machine-learning models. Building on counterdiabatic Ising-glass and one-dimensional Heisenberg PQFMs, we introduce a generalized two-qubit Hamiltonian-based PQFM that provides a unified way to encode classical features through local Pauli fields and pairwise tw...

  • SEALSQ Advances Satellite-Based Post-Quantum Security Platform

    <a href="https://thequantuminsider.com/2026/06/12/sealsq-advances-satellite-based-post-quantum-security/" rel="nofollow" title="SEALSQ Advances Satellite-Based Post-Quantum Security Platform"><img alt="SEALSQ and WISeKey" class="webfeedsFeaturedVisual wp-post-image" height="670" src="https://thequantuminsider.com/wp-content/uploads/2026/06/2026-06-12_20-26.png" style="displa...

  • ORCA Computing Joins Digital Realty Innovation Lab in London

    <a href="https://thequantuminsider.com/2026/06/12/orca-computing-joins-digital-realty-innovation-lab-in-london/" rel="nofollow" title="ORCA Computing Joins Digital Realty Innovation Lab in London"><img alt="Orca computing logo - TQI" class="webfeedsFeaturedVisual wp-post-image" height="701" src="https://thequantuminsider.com/wp-content/uploads/2026/06/2026-06-12_17-00.png" s...

  • Google Declined U.S. Quantum Funding Initiative Over Program Restrictions

    <a href="https://thequantuminsider.com/2026/06/12/google-declined-u-s-quantum-funding-initiative-over-program-restrictions/" rel="nofollow" title="Google Declined U.S. Quantum Funding Initiative Over Program Restrictions"><img alt="Google Quantum AI" class="webfeedsFeaturedVisual wp-post-image" height="591" src="https://thequantuminsider.com/wp-content/uploads/2026/06/Google...

Unrouted Items

  • Semi-Device-Independent Certification for Nonlocality without Entanglement

    In this work, we investigate maximum-confidence discrimination, which encompasses minimum-error and unambiguous discrimination, for ensembles of separable states by considering global and separable measurements. We demonstrate that global measurements outperform separable ones, thereby establishing nonlocality without entanglement (NLWE) in terms of confidence in a detection...

  • To Cool, or Not to Cool? Displacement Sensing with Hot Quantum States

    Quantum-enhanced displacement sensing with bosonic systems is typically formulated assuming that the oscillator is cooled close to its ground state before nonclassical probe preparation. We investigate whether such near-ground-state initialization is necessary, or whether sensitive probes can instead be generated directly from thermal states. We analyze hot quantum probes pr...

  • Optimal classical shadow estimation of unitary channels at Heisenberg limit

    Full tomography of an unknown quantum evolution is resource-intensive and often unnecessary when the goal is only to predict selected properties. This motivates the study of classical shadow estimation of unitary channels (CSEU), a task in which one queries an unknown $d$-dimensional unitary $U$ and stores classical data that can later be used to predict expectation values $...

  • Quantized time in quantum walks under weak rank-K measurements

    Measurements can be used to monitor the evolution of quantum systems and may lead to a universally quantized time statistics. It is known that the mean return time is quantized for strong and indirect monitoring through the winding number of the return amplitude in a one-dimensional space. Here we discuss that under multi-channel strong or indirect monitoring, where the latt...

  • A ribbon ZX calculus for gauge theory

    ZX calculus provides a graphical formalism for reasoning about quantum processes, built from two interacting Frobenius algebras associated with the Z and X bases of a qubit. While it has found widespread application in quantum information and computing, its relationship to quantum field theory has only recently begun to be explored. In this work, we further develop this conn...

  • Generalized Exact Fractional Quantum Information Model with Memory Effects

    In this paper, we analyze quantum information measures in fractional quantum mechanics using the Riemann-Liouville derivative formalism adopted here. In this case, we initially reconsider the conventional definitions of Shannon entropy and Fisher information, subsequently extending them to fractional quantum systems described by nonlocal differential operator frameworks adop...

  • A refined thermodynamic analysis of nonsecular master equations

    We present a systematic thermodynamic analysis of nonsecular master equations. We consider master equations resulting either from the partial secular and the geometric-arithmetic approximations, two approximations ensuring the positivity of the system's dynamics when some of its transition frequencies are too small to enable the full secular approximation. Both cause the sys...

  • Reduced basis algorithm for solving nonlinear differential equations on quantum computers

    As quantum computing moves toward scientific computing applications, nonlinear differential equations remain a central challenge since quantum evolution is intrinsically linear. In this work, we introduce a reduced basis algorithm (RBA) for polynomial nonlinear ordinary differential equations (ODEs) and spatially discretized partial differential equations (PDEs). After time...

  • Quantum optical photoelectron interferometry

    We present a general theoretical framework for multiphoton processes driven by quantum light fields, establishing a direct link between photon statistics and photoelectron observables. Our results show that the autocorrelation and cross-correlation functions, which quantify the underlying photon statistics, are directly mapped onto the resulting photoelectron spectra. Althou...

  • Characterizing the functional role of quantum coherence in energy transfer

    Quantum coherence is understood to play a role in excitation energy transfer in open quantum systems, yet a quantitative approach to assessing its influence on the transfer process is still missing. Using Nakajima-Zwanzig projection operators, we derive a general memory kernel identity that enables us to characterize and quantify the impact of coherence in the eigenenergy ba...

  • From 2D Yang-Mills to Calogero-Sutherland via a colored particle

    We study Yang-Mills theory coupled to a particle on a cylinder, where gauge invariance and compactness reduce the dynamics to a finite dimensional quantum system. In the Abelian case, this yields a model equivalent to the Landau problem on a torus, with a degenerate ground state structure. We generalize this construction to non-Abelian gauge groups and show that, for SU(N),...

  • Beyond the Unruh vacuum: multi-time correlations in black hole collapse and evaporation

    The black hole information paradox originates from the thermal character of Hawking radiation, which appears to erase information about the collapsing matter. However, thermality constrains only observables defined at a single time and leaves the structure of temporal quantum correlations largely unexplored. Here we show that multi-time quantum-field correlations provide a c...

  • Steady-State Noise Signatures of Lindbladian Exceptional Points

    Exceptional points (EPs) are non-Hermitian degeneracies at which two or more eigenvalues and their corresponding eigenvectors coalesce. In open quantum systems, exceptional points can arise in the Lindbladian governing the dissipative dynamics. Their signatures have so far been mainly identified in finite-time observables, such as transient currents, while steady-state avera...

  • Exploring Exotic Spin-Dependent Interactions Beyond the Standard Model: Theoretical Foundations and Experimental Investigations

    New interactions mediated by novel particles propose solutions to several important questions in modern physics. Axions serve as examples of such particles; they are lightweight and interact weakly with ordinary matter. This category of particles, including those similar to axions-termed Axion-Like Particles (ALPs)-arises from diverse theoretical frameworks, such as the Pecc...

  • Understanding quantum behaviors of an electron in a uniform magnetic field alternatively

    Quantum mechanically, an electron moving in a uniform magnetic field forms Landau levels. A curious feature is that for states with a negative angular quantum number, the total probability current vanishes, which appears to contradict the classical picture of cyclotron motion. While a geometric interpretation based on classical orbits exists, alternative interpretations rema...

  • Where a Quantum Reservoir Works: A Transferable Operating Band

    In quantum reservoir computing, a fixed quantum system transforms an input signal, while learning reduces to training a simple linear readout on its measured outputs. Since the quantum dynamics themselves are never optimized, the method is well suited to today's hardware. Yet these dynamics must still be chosen carefully, because their settings remain fixed throughout traini...

  • Kubo-Martin-Schwinger conditions for non-Hermitian systems

    We investigate the extension of the Kubo--Martin--Schwinger (KMS) thermal equilibrium condition to non-Hermitian Hamiltonians with real spectra and biorthogonal eigensystems, providing a systematic analysis through three complementary routes. Our central result is a thermodynamic characterisation of quasi-Hermiticity: for $H \in M_d(\mathbb{C})$ diagonalisable with real spec...

  • Interference of critical dynamics associated with zero modes

    We study the interference of critical dynamics associated with zero modes (ICDZM) in the generalized Creutz ladders using closed quench paths that pass through two critical points successively. By reading out the final zero-mode transfer probability, we find rich ICDZM interference patterns dependent on the quench path. In particular, when the closed path links two topologic...

  • Robust Pretty Good Measurement via Hybrid Classical-Quantum Pseudoinverse Approximation and Circuit-Level Realization

    Pretty Good Measurement (PGM) is a near-optimal strategy for quantum state discrimination, but its practical realization becomes unstable when the ensemble operator is singular or ill-conditioned. We introduce a numerically robust PGM formulation based on the Moore-Penrose pseudoinverse, replacing the standard inverse square root with a threshold-regularized variant that rem...

  • Fibonacci Steady-States and Persistent Oscillations in an Ordered Multimode Dicke Model

    Ultracold atoms in multimode optical cavities provide a rich testbed for many-body phenomena enabled by light-mediated interactions. Recent experiments include realizations of spin glasses and associative memories, as described by multimode Dicke models with disordered couplings. However, the properties of multimode Dicke models with ordered coupling geometries remain largel...

  • Quantum charge pumping in helical systems: A comparative study of short- and long-range hopping

    Using the Keldysh non-equilibrium Green's function approach, we investigate charge pumping through a single-stranded helical structure described by a tight-binding model that includes either short-range hopping (SRH) or long-range hopping (LRH). While quantum pumping has been studied in various low-dimensional systems, the detailed behavior of the spectral current and the pu...

  • Quantum Otto engine powered by an anisotropic Heisenberg XYZ model under independent local magnetic fields

    We study a quantum Otto heat engine whose working substance is an anisotropic two-qubit Heisenberg XYZ model. Independent local magnetic fields are used to control each spin individually. The influence of the longitudinal coupling, anisotropy, transverse coupling, and local fields on the net work output and efficiency is systematically examined. Reducing the longitudinal cou...

  • Quantum walk-based optimisation for capacitated vehicle routing with homogeneous and heterogeneous fleets

    The capacitated vehicle routing problem (CVRP) is an appealing candidate for quantum optimisation due to its combinatorial complexity and practical importance. However, the problem's constrained search space poses a challenge for such quantum algorithms. We introduce a quantum walk-based optimisation algorithm (QWOA) for the CVRP with homogeneous or heterogeneous vehicle fle...

  • What Quantum Can Learn from the Data Center Playbook

    <a href="https://thequantuminsider.com/2026/06/13/what-quantum-can-learn-from-the-data-center-playbook/" rel="nofollow" title="What Quantum Can Learn from the Data Center Playbook"><img alt="ai generated, linked data, data center, futuristic, data, glowing, servers, woman, silhouette, data centre, data processing, artificial intelligence, cyberpunk, industrial, dystopian, da...

  • BQP Appoints Craig Marcinkowski to Board of Directors

    <a href="https://thequantuminsider.com/2026/06/12/bqp-appoints-craig-marcinkowski-to-board/" rel="nofollow" title="BQP Appoints Craig Marcinkowski to Board of Directors"><img alt="Abhishek Chopra, CEO of BQP and Craig Marcinkowski Board Member of BQP" class="webfeedsFeaturedVisual wp-post-image" height="823" src="https://thequantuminsider.com/wp-content/uploads/2026/06/2026-...

  • HKU Engineering Develops ‘Brain-Like’ Chip to Advance Quantum Computing And Deep-Space Exploration

    <a href="https://thequantuminsider.com/2026/06/12/hku-engineering-develops-brain-like-chip-to-advance-quantum-computing-and-deep-space-exploration/" rel="nofollow" title="HKU Engineering Develops &#8216;Brain-Like&#8217; Chip to Advance Quantum Computing And Deep-Space Exploration"><img alt="neuromorphic" class="webfeedsFeaturedVisual wp-post-image" height="486" src="https:/...

Chips

47 chip stack items collected on 2026-06-14; memory, packaging, compute, and foundry signals routed.

Compute Accelerators

Memory and Advanced Packaging

  • Mastering 3D-IC Verification Complexity

    <p>Multiphysics analysis for advanced packaging.</p> <p>The post <a href="https://semiengineering.com/mastering-3d-ic-verification-complexity/">Mastering 3D-IC Verification Complexity</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>

Custom Silicon and Networking

  • Optimizing EUV Source Efficiency With Radiation-Hydrodynamic Simulations (U. Of Osaka et al.)

    <p>Researchers from The University of Osaka, National Institute for Fusion Science, National Institutes for Quantum Science and Technology, and Osaka Metropolitan University, et al. have published “Optimization of EUV output by experimentally validated radiation-hydrodynamic simulations across a broad laser parameter space”. &#160; Abstract “Practical requirements such as im...

Foundry, Tools, and Capex

  • AMD Announces Production Ramp of Next-Generation AMD EPYC Processor “Venice” on TSMC 2nm Process Technology

  • Refining Vision-Language Models For Lithography Defect Detection

    <p>Researchers from Hanyang University, Korea University, and Korea Institute of Industrial Technology have published “Failure-Aware Refinement of Vision-Language Model for Lithography Defect Detection”. Abstract “Semiconductor lithography inspection requires reliable detection of small pattern defects such as bridge, burr, pinch, and contamination. In this study, we propose...

  • Boosting EUV Conversion Efficiency With 2-Micron Dual-Beam Laser Irradiation

    <p>Researchers from Utsunomiya University, RIKEN, The University of Tokyo, and Tohoku University, et al. have published “40% boost in extreme ultraviolet conversion efficiency via simultaneous dual-beam 2-µm laser irradiation”. Abstract “Scaling extreme ultraviolet (EUV) source power for next-generation lithography demands higher conversion efficiency (CE) at reduced per-pul...

  • Chip Industry Week In Review

    <p>14A PDKs; 2nm funding; memory deal; optimizing EUV output; KGD screening; McKinsey's auto chips report; HW security exploits; humanoids; H-1B policy; diamonds for heat; Europe's IC progress; imec's latest; fault-tolerant quantum HW; AI for EDA ontology.</p> <p>The post <a href="https://semiengineering.com/chip-industry-week-in-review-142/">Chip Industry Week In Review</a>...

Unrouted Items

Power

23 power layer items collected on 2026-06-14; data center load, grid, generation, and cooling signals routed.

Data Center Power Demand

  • Data center server energy use grows across the commercial building stock

    In the Annual Energy Outlook 2026 (AEO2026), our long-term outlook, we project electricity consumed by data center servers will increase across the commercial building stock, increasing more in standalone data centers than in all other data center rooms combined. By 2050, server consumption alone reaches between 446 billion kilowatthours (BkWh) and 818 billion BkWh. The high...

  • Commercial electricity sales have soared in Virginia, driven by data centers

    Commercial electricity sales in Virginia increased by nearly 30.0 million megawatthours (MWh) between 2019 and 2025, much faster growth than in any other state except Texas, a much larger state, according to our Annual Electric Power Industry Report. The growth in sales of electricity in Virginia is largely driven by a concentration of data centers, as well as electric vehic...

  • ENKA and GE Vernova mark the start of commercial operation of Türkiye’s first HA-powered plant

    Kırklareli, Türkiye -&nbsp;(May 12, 2026) ENKA and GE Vernova Inc (NYSE: GEV) today announced the start of commercial operations at the 852&nbsp;megawatts (MW) Kırklareli power plant in Kırklareli, about 20 miles from the Bulgarian border in Türkiye. The facility is the&nbsp;first HA-powered plant

Grid and Generation

  • Largest wind farm in the United States slated to begin commercial operations

    The SunZia Wind Project, the largest wind farm in the United States, is slated to begin commercial operations this month. The wind farm, located in New Mexico, has a total net summer generating capacity of 3,650 megawatts (MW) and is composed of 916 wind turbines. SunZia's capacity is more than three times larger than the next two largest wind farms, Alta Wind in Southern Ca...

  • China's nuclear power capacity nearly doubled since 2016

    From 2016 to 2024, China's nuclear generation capacity increased 76% (24 GW), based on our International Energy Statistics (IES) data. According to the International Atomic Energy Agency's Power Reactor Information System (PRIS), China added an additional 1.1 GW of nuclear power capacity in 2025 and 2.2 GW in 2026 (through May). China is continuing to build out its nuclear g...

  • Coal remains competitive for power generation in the central United States

    In the first four months of 2026, electricity, natural gas, and coal prices suggested continued favorable economics for coal generation in MISO. The dark spread of coal, the difference between the fuel costs for coal-fired generation and the wholesale electricity price, in the Midcontinent Independent System Operator (MISO) region outpaced a similar measure of revenue relati...

  • Electricity generation from solar could exceed coal in ERCOT for the first time in 2026

    In our most recent Short-Term Energy Outlook (STEO), we forecast that annual electric power generation from utility-scale solar will surpass that from coal for the first time in 2026 within the electricity grid that covers most of Texas. Solar generation is expected to reach 78 billion kilowatthours (BkWh) in 2026 in the electricity grid operated by the Electric Reliability...

  • Coal distributions for non-electric power use decline in the South

    The volume of coal delivered in the United States for uses other than power generation—primarily, for manufacturing—decreased by about half in the last 15 years. Coal delivered for these purposes in the South decreased the most in percentage terms between 2010 and 2025, falling 75%, or 14.7 million short tons (MMst), according to our Annual Coal Distribution Report and Quart...

  • GE Vernova Introduces GridOS® for Transmission and New AI Whitepapers at Orchestrate 2026

    ATLANTA, GA., June 9, 2026&nbsp;– GE Vernova (NYSE: GEV) today introduces GridOS for Transmission and released two new AI whitepapers addressing grid planning and autonomous grid-edge operations at Orchestrate 2026, the company's annual grid software conference bringing together utility leaders,

  • GE Vernova deepens India commitment with 3.8 MW workhorse turbine launch, Powerica order, ALMM certification, and Pune manufacturing build-out

    New Delhi, India&nbsp;(June 4, 2026) – GE Vernova Inc. (NYSE: GEV) announced today that it has signed an agreement with Powerica Limited to supply 28&nbsp;of its 3.8 MW–154m* onshore wind turbines for the Botad Wind Farm in Gujarat, India. The 100 MW project marks the debut of GE Vernova’s 3.8 MW

  • GE Vernova's HA gas turbine fleet surpasses 4 million operating hours as global power demand accelerates

    ATLANTA, GA -&nbsp;(May 26, 2026) -&nbsp;GE Vernova Inc. (NYSE: GEV) today announced that its HA gas turbine fleet has surpassed&nbsp;4 million commercial operating hours worldwide, marking an important milestone for one of the power industry’s most advanced and efficient gas turbine technologies.

Cooling and Electrical Infrastructure

  • Most planned natural gas pipeline capacity additions in 2026 and 2027 originate in Texas

    Developers plan to bring approximately 44.9 billion cubic feet per day (Bcf/d) of new pipeline capacity online in the United States in 2026 and 2027, according to our latest Natural Gas Pipeline Projects Tracker. Approximately 70% (31.6 Bcf/d) of this new capacity is already under construction. More than 66% (29.7 Bcf/d) of the capacity additions originate in Texas. Louisian...

Markets and Policy

  • Natural gas for power generation flat this summer, record high expected in 2027

    We forecast natural gas consumption by the U.S. electric power sector this summer will remain near recent highs and set a record next summer in our May Short-Term Energy Outlook (STEO). Despite a 2% increase in overall U.S. electricity demand this summer, we expect natural gas-fired electricity generation to be similar to last summer, primarily because of forecast increased...

Unrouted Items

  • U.S. natural gas storage capacity increased slightly in 2025

    Underground working natural gas storage capacity in the Lower 48 states increased slightly in 2025, according to our latest data, with growth concentrated in the South Central and Mountain regions. Underground natural gas storage provides a source of energy when demand increases, balancing U.S. energy needs. We calculate natural gas storage capacity in two ways: demonstrated...

  • GE Vernova to deliver pumped-storage technology for India’s 1.35 GW Upper Sileru hydropower plant

    VADODARA, INDIA&nbsp;(May 4, 2026) –&nbsp;GE Vernova Inc.&nbsp;(NYSE: GEV) announced today that it has secured an order from Megha Engineering &amp; Infrastructures Limited (MEIL) to deliver nine 150 MW pumped-storage units for the 1.35 GW Upper Sileru hydropower plant, located in the state of

The daily read, in your inbox