Frontier Signals

Daily brief · All editions

June 23, 2026

Two Trump executive orders place quantum on a federal technology priority track while a cluster of national AI factory commitments anchored by NVIDIA's Blackwell platform closes across Asia, Europe, and the Middle East; EIA's AEO2026 simultaneously quantifies the power consequence: US data center server electricity alone is projected at 446-818 BkWh annually by 2050.

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115 tracked items · 3 desks

The day's read

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Operator brief

  1. rising

    Two executive orders signed June 22-23 direct federal agencies to protect US quantum research from foreign acquisition and to accelerate post-quantum cryptography adoption. Organizations managing federal contracts, cryptographic infrastructure, or sensitive IP should initiate PQC migration assessments now; compliance timelines are expected within the next 90 days.

  2. rising

    Sovereign AI factory commitments are materializing at scale within a single reporting cycle: NAVER (55 MW initial capacity, gigawatt-scale target), SK Telecom (gigawatt-scale cloud, Korea, online 2027), Germany-based industrial AI cloud (10,000 GPUs), and multiple European and Middle Eastern nations have announced NVIDIA DSX platform deployments. These are capacity commitments, not pilot projects. Telcos rather than hyperscalers are increasingly the build partners.

  3. blocker

    EIA's Annual Energy Outlook 2026 projects US data center server electricity at 446-818 BkWh by 2050, with standalone data centers growing fastest. Virginia added 30 million MWh of commercial electricity in six years, primarily from data centers. Power availability and grid interconnection, not chip supply, are likely to become the binding constraint on AI infrastructure expansion within this decade.

Quantum

  • P1 Trump Signs Two Executive Orders on Quantum Technology

    Federal policy now explicitly targets both the cryptographic threat (post-quantum migration) and the commercial opportunity (quantum innovation acceleration); these directives reach into federal contracting.

    The read: This is the most consequential near-term signal for US quantum operators. Agencies will drive PQC adoption requirements into supply-chain contracts within 90 days of signing. Organizations without a PQC inventory should treat this as a trigger.

  • P1 Duke University and IonQ Demonstrate Tripartite Entanglement of Remote Atomic Qubits

    A three-node Greenberger-Horne-Zeilinger (GHZ) state generated across spatially separated trapped-ion modules validates the basic architectural template for distributed quantum computing networks.

    The read: Two meters is lab scale. The milestone is not the distance but the architecture: three independent hardware modules sharing quantum state via a photonic link is the template for future modular quantum networks. This is incremental but documented progress toward distributed processing.

  • P2 IBM Nighthawk Validated in Quantum Chromodynamics and Cybersecurity Benchmarks

    Two independent peer-reviewed papers demonstrate hardware-native execution on IBM Nighthawk across QCD (particle physics) simulation and cybersecurity workloads, both near-term practical use cases.

    The read: Independent researchers, not IBM internal teams, authored these validations. Seeing two distinct practical workloads on a single platform in the same reporting cycle is noteworthy. QCD simulation and cryptographic applications are two of the strongest arguments for near-term quantum advantage.

  • P2 Bunny Codes: Superconducting QEC via Enriched Gate Sets

    A newly discovered class of qLDPC codes exploits native CNOT and CXSWAP gate availability in superconducting hardware to reduce syndrome extraction circuit depth.

    The read: This is a software-hardware co-design result. If CXSWAP native gates become standard on superconducting hardware, Bunny codes allow compilers to run leaner syndrome extraction, reducing logical qubit overhead. Track this for hardware roadmap integration.

Chips

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

    AMD has formally announced production ramp of its next-generation EPYC server CPU on TSMC 2nm, the current leading-edge commercial node.

    The read: A 2nm server CPU entering production ramp confirms TSMC 2nm has achieved customer qualification at volume. Data center operators planning 2026-2027 server refresh cycles should note this as a supply chain timing signal.

  • P2 High-NA EUV Mask Economics Shape Litho Adoption

    Rising mask costs and tighter dimensional tolerances for high-NA EUV are forcing chipmakers to make volume-dependent lithography choices, with some products likely remaining on 0.33 NA EUV longer.

    The read: High-NA EUV adoption will not be uniform. Low-volume products may find 0.33 NA EUV more economical for longer than expected, which complicates node-transition forecasting for both chipmakers and their customers.

  • P2 AMD Commits More Than $10B in Taiwan Ecosystem Investments

    AMD announces more than $10 billion in Taiwan ecosystem investments to accelerate AI infrastructure.

    The read: Investment at this scale is consistent with AMD's effort to position against NVIDIA in the AI accelerator market and to deepen TSMC dependency across design, manufacturing, and packaging. Taiwan supply chain access is the strategic rationale.

Power

  • P1 EIA AEO2026: Data Center Server Electricity to Reach 446-818 BkWh by 2050

    The US Energy Information Administration's Annual Energy Outlook 2026 formally quantifies data center server electricity growth; standalone data centers grow faster than all other data center room types combined.

    The read: These are federal agency projections, not vendor estimates. The high-case figure represents roughly 16% of current total US electricity consumption dedicated to data center servers alone. This range now anchors any credible decade-scale power procurement model for AI infrastructure operators.

  • P1 Solar Surpasses Natural Gas in CAISO, January-May 2026

    Utility-scale solar exceeded natural gas generation in California ISO for the first five months of 2026, representing a structural shift rather than a seasonal effect.

    The read: A 60% decline in natural gas generation in CAISO in five months reflects both solar overbuild and demand-response dynamics. This sets a precedent for other ISOs and alters the economics of gas-backed data center power procurement agreements signed on pre-2026 assumptions.

  • P2 SunZia Wind Project (3,650 MW) Enters Commercial Operations

    The largest US wind farm, New Mexico, begins commercial operations with 916 turbines and 3,650 MW net summer capacity.

    The read: SunZia adds large-scale interregional renewable capacity in the Southwest. For data center operators in the Southwest or Mid-Continent ISO regions, this improves the renewable matching economics of long-term power purchase agreements.

  • P2 Virginia Commercial Electricity Sales: +30M MWh Since 2019

    Virginia added nearly 30 million MWh of commercial electricity sales between 2019 and 2025, growth driven primarily by data center concentration.

    The read: Virginia's data center density has made it a stress test for East Coast grid capacity. Growth at this rate is not sustainable at current interconnection speeds, which is driving siting constraints that operators are already factoring into 2027 and beyond planning cycles.

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

    EIA STEO forecasts Texas ERCOT solar at 78 BkWh in 2026, projected to surpass coal generation for the first time.

    The read: ERCOT's rapid solar buildout is changing the generation mix faster than most prior forecasts projected. For data center operators in Texas, this shifts the economics of 24/7 clean energy sourcing but introduces evening peak reliability questions in the absence of adequate storage.

AI Compute

  • P1 NVIDIA and SK hynix: Multiyear Memory Partnership for AI Factories

    NVIDIA and SK hynix formalize a multiyear technology partnership to develop next-generation memory for the global AI factory buildout and to co-advance semiconductor design and manufacturing.

    The read: Framing this as "next-generation memory for AI factory buildout" positions the agreement as an HBM roadmap alignment rather than a spot-supply arrangement. Memory bandwidth is the primary utilization bottleneck for current AI accelerators; a formal roadmap partnership affects how quickly that bottleneck shifts.

  • P1 NAVER Expands Sovereign AI Infrastructure With NVIDIA DSX Platform

    NAVER commits to sovereign AI infrastructure expansion beginning at 55 MW with a stated target of gigawatt-scale capacity using the NVIDIA DSX full-stack platform.

    The read: The DSX platform commitment carries architectural consequences beyond GPU procurement. Customers adopting DSX lock into NVIDIA's integrated networking, compute, and software stack. Watch whether NAVER's gigawatt target attracts co-investment from other Korean enterprises or government entities.

  • P1 SK Telecom Plans Gigawatt-Scale AI Cloud in Korea (Online 2027)

    SK Telecom, a national telco, announces plans for a gigawatt-scale AI cloud in Korea using the NVIDIA DSX platform with the first AI factory coming online in 2027.

    The read: A major telco, not a hyperscaler, commissioning gigawatt-scale AI compute is a structural shift in who owns AI infrastructure capacity. This pattern is repeating across multiple national telcos. The 2027 timeline is ambitious; watch for phased capacity disclosures.

  • P2 NVIDIA Germany Industrial AI Cloud: 10,000 GPUs (DGX B200 and RTX PRO)

    NVIDIA is building a Germany-based AI cloud for European manufacturers featuring 10,000 GPUs, including DGX B200 systems and RTX PRO Servers.

    The read: The "industrial AI cloud" framing signals vertical specialization: manufacturing toolchain integration, not general-purpose compute. 10,000 GPUs is substantial but below hyperscaler class; the differentiation is software and integration depth with industrial workflows.

  • P2 Foxconn AI Factory in Taiwan With NVIDIA Blackwell

    NVIDIA, Foxconn (Hon Hai Technology Group), and the Taiwan government are jointly building an AI factory supercomputer to deliver Blackwell infrastructure to researchers, startups, and industries.

    The read: Taiwan government participation alongside Foxconn and NVIDIA reflects the sovereign dimension of AI compute access. This positions Taiwanese research institutions and startups for preferential access to Blackwell-generation infrastructure, with implications for Taiwan's competitiveness in AI model development.

Collected items by desk

Desk

Quantum

70 quantum research items collected on 2026-06-23; hardware, control, and industry signals routed.

All collected Quantum items (60)

Hardware and Error Correction

  • Emergent Andreev Reflection from a Lattice Duality Defect

    Andreev reflection converts an incoming fermion into an outgoing hole and is usually tied to a superconducting interface. We show that an analogous charge-conjugating boundary condition emerges from a purely lattice duality defect. Starting from a Majorana representation of the transverse-field Ising chain, we construct a folded lattice model in which a boundary Majorana imp...

  • Multi-scale reconstruction of single-ion damage tracks in diamond via nitrogen-vacancy centers

    Understanding particle-induced damage tracks in solid-state materials underpins emerging applications in rare-event detection and quantum defect engineering. Resolving these tracks requires multi-scale readout, from event localization at the millimeter scale to track-morphology reconstruction at the nanoscale. Nitrogen-vacancy (NV) centers in diamond provide such a platform,...

  • A quantum algorithm for one-shot signatures

    We provide a pre-obfuscation circuit-level implementation of an efficient one shot signature scheme, which has known applications to delegated signatures, secured token transfer, and publicly verifiable randomness. The algorithm consists of two stages: a key generation stage where a classical public key/quantum secret key pair is produced, and a signing stage where the quant...

  • Efficient Energy-Constrained Semi-Device-Independent QRNG with an Integrated Heterodyne Receiver

    Semi-device-independent QRNG frameworks represent a particularly attractive approach, combining strong security guarantees with high randomness generation rates while relying only on reduced and practical physical assumptions. A recently proposed approach based on photon-number constraints is particularly suited to photonic implementations, where these assumptions can be eas...

  • Chaos Generation and Control with Molecular Optomechanical System

    Chaos is central to secure communication and physical random-number generation. Conventional cavity-optomechanical implementations, however, usually rely on weak single-photon optomechanical coupling and low-frequency mechanical modes, so access to deterministic chaotic dynamics often requires large driving power and careful suppression of thermal noise. Here we theoreticall...

  • Bunny Codes: Broadening Superconducting Quantum Error Correction Capability through Advanced Control Engineering

    Drawing on advances in superconducting qubit control schemes that unlock enriched native gate sets at the hardware level, we systematically examine how harnessing this enlarged physical two-qubit gate pool -- specifically CNOT and CXSWAP -- streamlines syndrome extraction for certain qLDPC codes with nonlocal stabilizers. Through an exhaustive search, we discover a set of qL...

  • Linear optical Bell state measurement for rotation-symmetric cat codes

    Rotation-symmetric cat (RS-cat) codes are a bosonic-code platform for quantum information processing, combining finite-energy realizability with robustness against photon loss through their discrete rotational symmetry. For applications in long-distance quantum communication and fusion-based quantum computation (FBQC), efficient Bell state measurement (BSM) is a key primitiv...

  • All-optical Implementation of Generalized Quantum Teleportation

    Measurement-based continuous-variable optical quantum computing inherently offers high-speed, large-scale operations, yet its practical performance remains constrained by the processing latencies and throughput bottlenecks imposed by classical electronic feedforward circuits. To overcome these limitations, we propose a loss-tolerant, all-optical feedforward (AOFF) architectu...

Control and Quantum-AI Integration

Commercial and Industry Context

  • Prethermal rotating-frame solid echo in a dipolar nuclear-spin network

    Floquet prethermalization can endow interacting quantum solids with long-lived, approximately conserved quantities, enabling Hamiltonian engineering and new dynamical probes. Using a hyperpolarized network of dipolar-coupled ^(13)C nuclear spins in diamond driven by pulsed spin-locking, we access a rotating-frame prethermal plateau with quasi-conserved transverse magnetiza...

  • Wess-Zumino terms in 0+1 SU(N) superspin systems

    These notes present a self-contained introduction to Wess-Zumino (WZ) terms in quantum systems with SU(N) symmetry, emphasizing the interplay between geometry, topology, and condensed-matter applications. We begin with the SU(2) spin coherent-state path integral, where the Berry phase appears as a WZ term encoding the symplectic structure of the Bloch sphere. This exampl...

  • Protecting Qubits from Purcell Decay via Permanent Dipoles

    Reading out a qubit often requires coupling it to a resonator, but that same resonator can also give the qubit an extra path to decay. Here, we study a way to reduce this loss using a built-in permanent electric dipole. The dipole shifts the cavity field in different directions for the qubit ground and excited states. This shift makes the relevant wave functions overlap less...

  • President Trump Signs Two Executive Orders on Quantum Technology

    President Donald J. Trump has signed two Executive Orders aimed at cementing American leadership in the quantum era. Together with their accompanying Fact Sheets, the directives lay out a strategy designed to protect the nation from advanced cryptographic attacks while simultaneously encouraging commercial and scientific quantum innovation. Here is a breakdown of key prov...

  • Podcast with Helmut Katzgraber, General partner at 55North

    Yuval Boger interviews Helmut Katzgraber, general partner at 55North and former quantum leader at AWS. They discuss Helmut’s view that the most promising near- to mid-term quantum applications are in quantum simulation for materials, chemicals, and pharma, rather than optimization. They also explore European competitiveness, venture opportunities across the quantum stack,...

  • Infleqtion Launches America’s Quantum Space Initiative to Develop Orbital Technology Infrastructure

    Neutral-atom developer Infleqtion (NYSE: INFQ) has launched America’s Quantum Space Initiative to accelerate the deployment of quantum technologies within the aerospace sector. The public-private coalition brings together a group of founding innovators, including Voyager Technologies, Monarch Quantum, Armada, and the University of Colorado Boulder. Operating through a col...

  • IBM Nighthawk Processor Validated in Quantum Chromodynamics and Cybersecurity Benchmarks

    Independent researchers from the IBM Quantum Network have published two separate technical studies validating real-world applications on the IBM Nighthawk quantum processor framework. Orchestrated through the RPI-IBM Future of Computing Research Collaboration, the peer-reviewed papers demonstrate scalable, hardware-native executions across particle physics simulations and...

  • Duke University and IonQ Demonstrate Tripartite Entanglement of Remote Atomic Qubits

    Researchers from the Duke Quantum Center and IonQ have demonstrated the distributed generation of a Greenberger–Horne–Zeilinger (GHZ) state across a three-node quantum network using individual trapped atomic ions. The experimental configuration consisted of three spatially separated hardware modules positioned approximately 2 meters apart, linked by 3-meter single-mode op...

Unrouted Items

  • Robust Structure Learning of k-local Lindbladians

    We present an efficient protocol for learning an unknown k-local Lindblad generator on n qubits using only product-state preparations, short-time evolution, and single-qubit Pauli measurements, without prior knowledge of the interaction structure. For fixed k and bounded weighted interaction strength, the protocol estimates all Hamiltonian and dissipative Pauli--GKSL c...

  • Genuine certification of incompatible quantum instruments through sequential communication tasks

    Quantum instruments constitute the general description of quantum dynamics, encompassing both quantum measurements and quantum channels as special cases. Consequently, the incompatibility of quantum instruments represents a fundamental manifestation of nonclassicality in quantum theory. Here, we establish the operational significance of this notion by demonstrating communica...

  • Log-concavity and tunneling: adiabatic quantum optimization for convex functions (with a spike)

    Quantum tunneling is expected to provide a computational speedup in quantum computing, a phenomenon that Adiabatic Quantum Optimization (AQO) aims to leverage. While some academic proofs of concept have been studied, such as the "Hamming weight with a spike" (HWS) problem, the algorithmic gains of this effect remain underexplored. In this work we extend the analysis underlyi...

  • Random dimension reduction and learning symmetric properties of quantum states

    We introduce a procedure called random dimension reduction that simultaneously reduces the dimensions of many, potentially distinct quantum states while preserving properties invariant under the tensor power action of an isometry. This provides a black-box method to replace the dimension with the maximum rank in the sample complexity of learning symmetric properties, even th...

  • Genuine Global Kochen-Specker Contextuality as Classical Coordination Cost

    Classical simulations of quantum correlations can fail because no low-communication local hidden-variable model exists, or because no single noncontextual hidden state can explain all compatible measurement contexts. This manuscript studies a third regime: genuine global Kochen-Specker contextuality, where local subsystems are noncontextual and the tested multipartite blocks...

  • Structure-Aware Variance Reduction for Unbiased Randomized Hamiltonian Simulation

    Randomized Hamiltonian simulation methods are often governed by a trade-off between systematic bias and sampling overhead. We study how classical variance-reduction techniques can be applied to such methods without changing their mean channel, and therefore without introducing additional bias. As a motivating unbiased estimator, we formulate continuous time-evolution probabi...

  • How Stark units enter SIC overlaps

    It has been observed that the mutual scalar products of the vectors in a SIC-POVM are given by algebraic units, and at least in some cases by square roots of Stark units. The full picture is somewhat more complicated, especially if non-minimal SIC-POVMs are considered. We present a mixture of exact and numerical evidence suggesting that the overlap units are always products...

  • Dissipative preparation of Laughlin-like states

    Fractional quantum Hall (FQH) states are a central paradigm of strongly correlated quantum matter and a key platform for topological quantum computation. Here, we propose a purely dissipative protocol based on local loss and pump channels for preparing Laughlin-like states at filling 1/3, with a possible extension to other 1/M filling states. We show that Laughlin-like s...

  • Full-Field Mode Sorter for Optical Knots

    Optical knots are topologically structured light fields whose phase or polarization singularities trace linked or knotted trajectories during propagation, making them promising candidates for high-dimensional optical information carriers. Their use in communication or quantum-information protocols, however, requires a practical readout method that can distinguish a chosen kn...

  • On the cryptographic potential of single-qubit rotations

    In the domain of quantum communication, cryptographic protocols often require users to have access to trusted qubit sources or detectors. Recently, it was shown that on an architecture called the Qline, several protocols can equivalently be performed by parties capable only of single-qubit rotations. In this work, we introduce two composably secure constructions that togethe...

  • Bounding Classical and Quantum Correlations in Bayesian Networks with Quasiprobabilities

    Bell's theorem reveals that quantum theory is in tension with classical causal reasoning and, in particular, the notion of local causality. This is now understood as a particular example of non-classicality in the study of correlations in (Bayesian) networks with both unobserved and observed nodes: the correlations are probability distributions over the observed nodes. There...

  • Ultra-Peripheral Collisions as a Nuclear-Structure Interferometer with Interpretable Multitask Deep Learning

    Precise knowledge of nuclear structure is essential across fundamental physics, yet probing these structures is notoriously difficult. To address this challenge, ultra-peripheral collisions (UPCs) provide a femtoscopic tomography for imaging the atomic nucleus. UPCs offer a pristine electromagnetic pathway: coherent vector-meson photoproduction generates patterns of diffract...

  • Irreversibility Enhances Quantum-Enhanced Markov-Chain Monte Carlo

    Detailed balance underlies conventional Markov-chain Monte Carlo (MCMC) algorithms. Yet in classical systems, breaking detailed balance generates irreversible probability currents and can accelerate sampling. Whether irreversibility can similarly enhance quantum MCMC remains an intriguing question. Here we show that irreversibility provides a new route to improving the recen...

  • The adaptive nature of confirmation bias

    In this paper, the phenomenon generally classified as confirmation bias is formulated on the space of square-root probabilities (or equivalently, using the structures of quantum probability). In this framework, observations are modelled by matrices, rather than random variables on a probability space. In the problem of binary hypothesis testing, an optimal evidence choice mi...

  • Fast quantum-state transfer in Su-Schrieffer-Heeger chains beyond the noninteracting regime

    Shortcuts to adiabaticity have made topological edge-state transfer fast in the single-particle regime, but their extension to interacting systems is obstructed by nonlinear phase accumulation. We show that this obstruction can be removed in Su-Schrieffer-Heeger chains by making the next-nearest-neighbor shortcut hopping phase tunable. In the mean-field regime, this yields a...

  • Jacobi exceptional orthogonal polynomials for extended Scarf I potentials with position-dependent mass

    We show that the Scarf I potential problem in a position-dependent mass background of the type m(α;x) = (1 + αsin x)^(-2), 0<α<1, can be solved by using a point canonical transformation mapping the corresponding Schr\" odinger equation onto that of the Scarf I potential with constant mass. The inverse point canonical transformation then provides some exactly-solvable ra...

  • Tuning Quantum MPS

    Matrix Product State (MPS) methods are among the most effective approaches for the classical simulation of quantum circuits, but their practical performance depends strongly on simulator hyperparameters, and default settings are often suboptimal. In this work, we propose a two-stage framework for automatic hyperparameter selection for quantum MPS simulation. In the first sta...

  • Quantum Key Distribution Without Shared Reference Frame Under Unital Noise

    We consider a general and practical scenario of quantum key distribution (QKD) over an unknown, stationary, unital qubit channel. Furthermore, due to practical limitations, e.g., relative movement and rotation of communicating parties, a global shared reference frame cannot be established. This scenario can routinely appear in satellite QKD. We propose two methods to overcom...

  • Quantum Advantage in Tolerant Junta Testing

    We establish the first super-polynomial quantum advantage for the tolerant junta testing problem in the adaptive setting. Specifically, we show that within a certain parameter regime, tolerant k-junta testing with high precision can be solved using poly(k) quantum queries, whereas any classical algorithm requires at least k^(Ω(log k)) queries. The problem of...

  • Entropic Uncertainty Relations for Mutually Unbiased Operator Frames

    We develop an operator-frame formulation of entropic uncertainty relations in the Hilbert-Schmidt space of operators. For general continuous indexed operator frames, we derive an entropic uncertainty relation for the associated coefficient distributions by combining endpoint norm estimates with Riesz-Thorin interpolation. We then identify a distinguished class of mutually un...

  • Angular-time evolution and edge-spin dynamics in the Haldane phase of the S=1 bilinear-biquadratic chain

    We investigate the angular-time evolution -- a parameter-time evolution generated by the entanglement Hamiltonian -- for the bipartitioned ground state of the S=1 bilinear-biquadratic chain under the open boundary condition with the up edge spin. Using a matrix-product-state representation of the ground-state wavefunction, we calculate the angular-time spin correlation funct...

  • Understanding Squeezed States of Light Through Wigner's Phase-Space

    This paper starts with the transition from classical physics to quantum mechanics which was greatly aided by the concept of phase space. The role of canonical transformations in quantum mechanics is addressed. The Wigner phase-space distribution function is then defined which arises from the formulation of the density matrix, followed by the harmonic oscillator in phase spac...

  • An Efficient and Perfect Secret Sharing Scheme on a Class of Non-Maximal Quantum Access Structure

    Quantum secret sharing is one of the core security technologies in the field of quantum communication. Aiming at the problems of high quantum resource consumption and the difficulty in balancing security and efficiency existing in current quantum secret sharing schemes under non-maximal quantum access structure(QAS), this paper focuses on the judgment criteria of non-maximal...

  • Satellite Mission Planning with Rydberg Atoms

    Quantum computers relying on cold atoms are being built and promise a high flexibility in the way information in encoded into the physical system. In particular, the analog mode is spiking interest in the field of optimization as a classically intractable number of configurations can be tackled. In this work, we investigate a problem that requires every-day scheduling of cri...

  • Wigner-Negative Magnon Steady States from Incoherent Qubit Pumping

    We show that incoherently pumped qubits can realize a cascaded dissipative mechanism for stabilizing Wigner-negative magnon steady states. The mechanism combines qubit pumping with dispersive magnon-number selectivity to direct the steady-state population toward selected magnon Fock states. In the single-qubit case, the single-magnon population can approach unity, accompanie...

  • A single-electron double quantum dot with Rashba spin-orbit interaction as a working substance for heat machines

    We investigate the thermodynamic performance of a quantum Otto machine whose working substance is a single electron confined in a double quantum dot under an external magnetic field and Rashba spin-orbit interaction. The Hamiltonian is controlled by the Zeeman splitting, the interdot tunneling amplitude, and the Rashba coupling, which induces spin-flip tunneling between loca...

  • Emergence of Gaussian entanglement and non-Gaussianity in high-harmonic generation driven by bright squeezed light

    High harmonic generation (HHG) is a highly nonlinear optical process in which radiation from a strong driving field is up-converted into its high-order harmonics. In atomic systems, this nonlinearity manifests itself through the intensity scaling of the emitted harmonics with the driving field strength. Despite the highly nonlinear nature of HHG, when the driving field is pr...

  • Lewis-Ermakov approach for the time-dependent two-level system

    We construct an explicit Lewis-Ermakov-type dynamical invariant for time-dependent two-level systems by exploiting their algebraic correspondence with the time-dependent harmonic oscillator through the su(2) and su(1,1) algebras, which share the common complexification sl(2,C). This invariant provides a closed-form evolution operator and an exact propagator fo...

  • A Measurement-Like Test of Continuous Spontaneous Localization with a Reversible Nanoparticle Pointer

    We propose a measurement-like interferometric test of Continuous Spontaneous Localization (CSL), in which a trapped nanoparticle acts as a reversible mesoscopic pointer rather than as the initially prepared microscopic superposition. A microscopic two-branch system applies opposite weak forces to the nanoparticle, temporarily amplifying which-branch information into branch-c...

  • Generalization of catability for parity-less cat states

    We extend the nullifier-based certification framework of catability from parity-defined coherent cat states to parity-less Kerr cat states. Since Kerr cats cannot be distinguished by parity alone, we replace the parity component of the original nullifier with a displaced-parity operator that captures their characteristic interference structure. The resulting generalized cata...

  • Nonlinear Geometrizability of State-Dependent Proto-Area in Approximate Holographic Codes

    State-dependent proto-area data produced by approximate recovery need not be compatible with a single local bulk metric. Using recovery maps calibrated on the code channel and held fixed along a logical-state family, we derive exact finite-resolution criteria and, near the hyperbolic disk, necessary and sufficient conditions for a regular proto-area two-jet to arise from a m...

  • How Many Qubits Does a Quantum Computer Need?

    Guest post by Zeynep Koruturk, Dr. Kris Naudts, & Donald Harmitt of Firgun Ventures and Professor Bob Coecke of Relational Intelligence Limited Few questions in the quantum sector are asked more often, or answered more loosely, than how many qubits a useful quantum computer will require. Press releases announce systems with hundreds of qubits, then [...] The po...

  • The Quantum Industry Responds to Trump Administration’s New Executive Order

  • Trump Administration Executive Order Places Quantum at Center of Federal Technology Strategy

  • Trump Administration Expected to Issue Executive Order on Protecting Quantum Research

  • NTHU Researchers Develop World’s Brightest Room-Temperature Single-Photon Source

  • Europe Expands Quantum-GPU Computing as NVIDIA Announces 35 New AI Supercomputers

Desk

Chips

45 chip stack items collected on 2026-06-23; memory, packaging, compute, and foundry signals routed.

All collected Chips items (39)

Compute Accelerators

Foundry, Tools, and Capex

Unrouted Items

Desk

Power

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

All collected Power items (16)

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

  • 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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