Frontier Signals

Daily brief · All editions

July 31, 2026

IonQ closes its $1.8 billion acquisition of SkyWater Technology today, making a trapped-ion quantum hardware company the owner of the only exclusively U.S.-based semiconductor foundry.

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116 tracked items · 3 desks

The day's read

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Operator brief

  1. Quantum supply chain vertical integration begins

    [rising] -- IonQ's SkyWater acquisition, closing July 31, is the first time a quantum hardware developer has directly acquired a semiconductor foundry. Combined with ZuriQ's $25.5M seed round for 2D trapped-ion architectures (ETH Zurich spin-out, Infineon as fabrication partner), quantum hardware companies are increasingly pursuing control of their fabrication pathways rather than depending on contract fabs.

  2. AI factory power demand is compressing timelines

    [rising] -- NAVER's 55 MW AI factory has explicit plans to scale to gigawatt level; SK Telecom's gigawatt-scale Korea AI Cloud targets a first facility by 2027; European and Middle East sovereign AI deployments are in motion simultaneously. SunZia Wind Farm (3,650 MW, New Mexico) beginning commercial operations and CAISO solar surpassing natural gas output in five months of 2026 signal growing clean power supply, though interconnection constraints remain the binding variable.

  3. AMD on TSMC 2nm enters production ramp

    [rising] -- AMD's EPYC "Venice" processor is ramping production on TSMC N2, confirming yield at the current leading-edge geometry. AMD has also committed more than $10 billion in Taiwan ecosystem investments. The dual-vendor accelerator and server CPU market is now consolidating at 2nm, with meaningful competition pressure on hyperscaler sourcing decisions.

Quantum

  • P1 IonQ Closes $1.8B SkyWater Acquisition

    A quantum hardware company now controls a U.S. semiconductor foundry, restructuring the supply chain for trapped-ion systems.

    The read: Vertical integration at this stage gives IonQ faster iteration on ion trap fabrication and removes dependency on external foundry scheduling. The risk is capital allocation -- running a semiconductor fab is operationally distinct from quantum hardware R&D, and integration costs are not yet disclosed.

  • P2 IBM and Partners Demonstrate Quantum Advantage on Cloud Hardware

    IBM published three joint quantum advantage demonstrations with public circuit repositories, framing results as third-party verifiable.

    The read: "Quantum advantage" claims require scrutiny of workload selection and classical baseline methodology. The public circuit repositories are a meaningful step toward reproducibility, but independent replication results are not yet available. Watch for third-party benchmarks in the next 60 days.

  • P2 HRL Laboratories 18-Qubit Silicon Spin QPU Operates Without External Control Electronics

    A silicon spin QPU that removes room-temperature control racks addresses a key scaling bottleneck for silicon qubit systems.

    The read: Autonomous operation addresses one of the most cited infrastructure barriers for silicon spin qubits -- the external electronics footprint at cryogenic temperatures. Fabrication partner and performance metrics remain unspecified.

  • P2 ZuriQ Raises $25.5M Seed to Scale 2D Trapped-Ion Architecture with Infineon

    An ETH Zurich spin-out adds a production-qualified semiconductor manufacturer (Infineon) as fabrication partner alongside seed capital.

    The read: Infineon's involvement brings production-qualified semiconductor manufacturing into the quantum hardware stack earlier than most competitors. Seed stage means near-term commercialization timeline is speculative.

  • P2 QED-C and Center for Quantum Networks Release Quantum Networking Roadmap

    A 50-plus-expert roadmap maps near-term quantum networking applications and infrastructure requirements.

    The read: Roadmaps at this breadth signal that standards and interoperability discussions are formalizing, which typically precedes government and enterprise procurement decisions by 18-36 months.

Chips

  • P1 AMD EPYC Venice Enters TSMC 2nm Production Ramp

    The first major x86 server CPU is ramping on TSMC N2, confirming yield at the current leading-edge geometry.

    The read: A production ramp announcement (not sampling, not tape-out) at 2nm is a foundry yield signal. It de-risks TSMC N2 for other customers and advances the competitive clock for server CPU and accelerator procurement decisions.

  • P2 NVIDIA RTX PRO Blackwell GPU Expanding to Enterprise Server Lines

    Blackwell architecture is entering mainstream enterprise server platforms, not only hyperscale AI factory configurations.

    The read: Blackwell moving into general enterprise IT broadens the addressable market and accelerates depreciation cycles on Ampere-era hardware already in enterprise fleets.

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

    AMD is formalizing long-term infrastructure commitments in Taiwan alongside the TSMC 2nm production ramp.

    The read: Alongside the Venice production ramp, this signals AMD is positioning Taiwan as a sustained manufacturing and partnership hub rather than a tactical fab relationship.

  • P2 Warpage Management Becomes a Process-Control Constraint in Advanced Packaging

    As packages grow larger and thinner, warpage is shifting from a flatness specification to an in-process yield problem.

    The read: Warpage management at chiplet and 3D packaging scale is a yield tax on HBM stacks and CoWoS-scale configurations. It constrains ramp rate independent of silicon availability.

Power

  • P1 CAISO Solar Generation Surpassed Natural Gas for First Five Months of 2026

    Solar became the dominant non-hydro generation source in California across a sustained multi-month period for the first time.

    The read: Clean power availability in the CAISO footprint is improving faster than most projections. For AI compute operators with sustainability commitments, this reduces the cost of clean power matching in California. It does not resolve the interconnection queue problem for new large loads.

  • P1 SunZia Wind Project (3,650 MW) Starting Commercial Operations in New Mexico

    The largest U.S. wind farm -- more than three times the next-largest site -- is coming online this month.

    The read: 3,650 MW of new wind is material at the regional grid level. New Mexico sits near growing data center corridors in the Southwest. Transmission access to California and Texas markets will determine how much of this capacity serves AI-adjacent loads.

  • P2 Champlain Hudson Power Express Opens; NYISO Imports 52 GWh from Canada in One Day

    A new high-voltage DC line between Quebec and New York City enables significant clean power imports into the NYC metro area.

    The read: High-voltage transmission adds import diversity without new generation siting or permitting. For data center operators in the New York metro area, this improves clean power access from Quebec hydro.

  • P2 GE Vernova Expanding Pennsylvania Facility for U.S. Grid Supply Chain

    GE Vernova is expanding domestic manufacturing of high-voltage circuit breakers and switchgear at Charleroi, PA.

    The read: Grid supply chain expansion by a major equipment manufacturer signals sustained demand for interconnection hardware. This is consistent with accelerating data center build-out placing new interconnection requests into already-congested queues.

AI Compute

  • P1 NAVER Expanding AI Infrastructure from 55 MW to Gigawatt Scale Using NVIDIA DSX

    NAVER has committed to sovereign AI infrastructure at a scale where power capacity is the primary constraint, with a named starting figure.

    The read: 55 MW to gigawatt represents approximately an 18x increase in power demand from a single operator. Naming a specific starting capacity is more verifiable than prior sovereign AI announcements that cited compute counts alone. Power procurement timing will determine actual ramp pace.

  • P1 SK Group and NVIDIA Sign LOI Covering AI Factory Construction and Memory Supply

    SK Group (spanning SK hynix, SK Telecom, and others) signed non-binding letters of intent with NVIDIA covering AI factory construction and next-generation memory.

    The read: LOIs at any stated scale reflect negotiating positioning rather than confirmed capital deployment. The more concrete signal is the separately announced SK hynix multiyear technology partnership (see below), which carries product-level specificity.

  • P2 SK hynix and NVIDIA Announce Multiyear Memory Technology Partnership

    HBM supply chain and next-generation memory design are being formally tied to AI factory build-out commitments via a multiyear agreement.

    The read: A multiyear framework with NVIDIA gives SK hynix forward demand visibility for HBM4 and beyond, influencing capex on HBM production lines. It also increases NVIDIA's memory supply concentration risk at a time when HBM remains a production constraint.

  • P2 NVIDIA European Industrial AI Cloud: 10,000 GPUs Targeting Manufacturing Sector

    NVIDIA is building an AI factory in Germany specifically for European manufacturers, with hardware count specified.

    The read: A manufacturing-sector AI factory model is a distinct go-to-market from hyperscaler cloud access. The "world's first" primacy claim is not independently verifiable and is noted in Section 6.

  • P2 SK Telecom Gigawatt AI Cloud in Korea, First Factory Target 2027

    A major Asian telecom is committing to gigawatt-scale AI infrastructure with a defined first-deployment date.

    The read: A 2027 first-factory target for gigawatt infrastructure requires power procurement decisions beginning now. This aligns with broader signals that AI infrastructure build timelines are compressing from announcement to operational delivery.

Collected items by desk

Desk

Quantum

70 quantum research items collected on 2026-07-31; hardware, control, and industry signals routed.

All collected Quantum items (57)

Hardware and Error Correction

  • Lifting Lifted Product Codes

    Lifted product (LP) codes form an important class of quantum error correcting codes with favorable code parameters. We introduce a systematic construction of LP code families based on group extensions and graph lifts. The construction increases the code size while preserving the local structure of the Tanner graph, and relates code parameters, logical operators, and fault-to...

  • Learning Arbitrary Lindbladians from Time Evolution

    We study the problem of learning an unknown Markovian open-system generator from access to its physical time evolution. This generator, called a Lindbladian, contains Hamiltonian and dissipative coefficients indexed by an exponentially large family of possible Pauli terms. We propose an efficient algorithm that learns arbitrary Lindbladians from time evolution under minimal...

  • Logical computation with canonical lifted product codes

    High-rate quantum low-density parity-check (qLDPC) codes encode many logical qubits with low physical-qubit overhead, but realizing efficient fault-tolerant computation on such dense encodings remains a major challenge. Generic, code-agnostic techniques such as code surgery and gate teleportation apply broadly, but are difficult to make modular, low-overhead, and fully certi...

  • SymFT: Universal Fault-Tolerant Quantum Circuit Simulation via Symbolic Clifford--Pauli Frames and Stabilizer Coordinates

    Fault-tolerant protocols often consist largely of stabilizer subcircuits, yet the non-Clifford operations required for universality make exact sampling costly. We present SymFT, a high-throughput simulator for Clifford-dominated circuits with Pauli rotations, stochastic Pauli noise, mid-circuit Pauli measurements, and measurement-record-controlled Pauli feedback. It combines...

  • Spacetime Layout and Logical Compilation of Color Code

    Fault-tolerant quantum computing requires system-level coordination of logical primitives. Here, we establish a logical compilation framework for the color code, grounded in its topological structure and supporting universal logical operations. Based on its anyon-condensation and domain-wall structure, we introduce a spacetime block-diagram representation capturing logical p...

  • Generating broadband optical squeezing via Cascaded Micro-Ring Resonators

    Broadband squeezed light functioning as a Markovian reservoir can exponentially enhance light-matter interactions, benefiting quantum technologies. However, conventional single-cavity sources face a trade-off between squeezing depth and spectral bandwidth. We propose a scalable scheme for generating broadband squeezed vacuum using a cascade of parametric microring resonators...

  • Hayden--Preskill recovery at finite temperature on a quantum processor: dynamics and initial state from the SYK model

    In the original Hayden--Preskill recovery, the post-injection scrambler and initial state are {\it not related}. We extend this setup in two ways: by using a SWAP gate so that the scrambler and initial state are {\it related}, and by considering recovery at {\it finite} temperature. For this modified protocol, we show that the information is successfully recovered in the sen...

  • Optical linewidth narrowing for device-coupled single T centers

    Single T centers in silicon have emerged as promising optically active spins for quantum networking applications. One of the major obstacles to advancing the system is their broad optical linewidth due to spectral diffusion, which is two orders of magnitude larger than their cavity-enhanced radiative linewidth. We tackle this issue by utilizing above-band optical excitation...

Control and Quantum-AI Integration

  • Benchmarking Quantum Simulations of the Lipkin-Meshkov-Glick Model Using Large Tensor Networks

    As quantum computing matures, it is critical to benchmark its real-world problem solving performance against competitive classical methods, such as tensor networks. In this work, we leverage the Density Matrix Renormalization Group (DMRG) algorithm to compute ground state energies of the Lipkin Meshkov Glick (LMG) model as a comparative benchmark against popular noisy interm...

  • Counterdiabatic Driving under Variational Frame Dressing

    Counterdiabatic (CD) driving accelerates adiabatic protocols by prescribing auxiliary control fields, but often fails to map them to physically available operations. We derive a general formalism for such a mapping. We formulate CD driving in a variational dressed frame, where an unconstrained auxiliary generator reshapes the effective adiabatic problem while simultaneously...

  • Horizon Quantum and Quantum Machines Partner to Advance Real-Time Quantum Calibration

    Software infrastructure developer Horizon Quantum Computing (Nasdaq: HQ) and hybrid quantum-classical control provider Quantum Machines (QM) have announced a strategic collaboration to develop embedded calibration technologies for quantum computing hardware. By integrating Quantum Machines’ control systems with Horizon’s software architecture, the partnership aims to crea...

Commercial and Industry Context

  • Quantum Fidelity-per-Cost: A Metric for Evaluation of Quantum Computing Systems

    Cloud-accessible quantum computing has made hardware comparison not only a physics benchmark but also a practical purchasing decision. Cost-aware comparison of quantum computers remains underexplored and is difficult to do under the heterogeneous billing models offered by various cloud-based quantum computing providers. This paper makes two main contributions to enable price...

  • Structure-Preserving Quantum Simulation of Wave Equations on a Trapped-Ion Processor

    Wave equations provide a natural testbed for near-term quantum simulation of partial differential equations, but hardware demonstrations have remained limited in spatial dimension, equation class, system size, and physically meaningful output. We develop and benchmark structure-preserving, Fourier-based quantum circuits for the one- and two dimensional acoustic wave equation...

  • Towards Quantum Networks: Characterizing Raman Noise over Metropolitan-scale Fiber Network

    The coexistence of quantum and classical signals in optical fiber infrastructures represents a major challenge for large-scale quantum networks, as noise sources such as Raman scattering can significantly impact entanglement distribution, and the quantum protocols based on it. In this work, we analyze Raman scattering in the C-band, used for entanglement distribution, genera...

  • U.S. Naval Research Laboratory Outlines Strategic Quantum Research Priorities

    The U.S. Naval Research Laboratory (NRL) has highlighted the operational roadmap of its Quantum Science Institute (QSI), aligning the laboratory's research enterprise with national directives under Executive Order 14413 ("Ushering in the Next Frontier of Quantum Innovation"). Formally established in June 2025 as the primary quantum research center for the U.S. Navy, the i...

  • IBM and Ecosystem Partners Demonstrate “Trusted Quantum Advantage” Beyond Classical Supercomputers

    IBM and a coalition of research collaborators—including the University of Chicago, Qedma Quantum Computing, Algorithmiq, RIKEN, and BlueQubit—have announced three joint technical demonstrations of quantum advantage. Published alongside public circuit repositories on the Quantum Advantage Tracker, the studies report that IBM's cloud-accessible quantum hardware ran complex,...

  • QED-C and Center for Quantum Networks Release Quantum Networking Roadmap

    Schematic of the future quantum internet. Credit: Alireza Shabani, © 2026. The Quantum Economic Development Consortium (QED-C), in collaboration with the NSF-funded Center for Quantum Networks (CQN), has published its comprehensive Quantum Networking Applications Roadmap. Built on technical input from over 50 experts across national laboratories, academic research centers...

  • ZuriQ Secures $25.5M Seed Round and Advances 2D Trapped-Ion Fabrication with Infineon

    Swiss quantum hardware startup ZuriQ has raised $25.5 million (€22.4M) in seed funding to scale its 2D trapped-ion quantum computing architecture. Spun out of ETH Zürich in 2024 by Dr. Pavel Hrmo, Dr. Tobias Sägesser, and Dr. Shreyans Jain, the company builds on a $4.2 million pre-seed round raised in 2025. The funding round was [...]

  • IonQ Clears Final Regulatory Hurdle to Complete Acquisition of SkyWater Technology

    Trapped-ion quantum hardware developer IonQ (NYSE: IONQ) has secured final regulatory approval to finalize its acquisition of SkyWater Technology (NASDAQ: SKYT), the largest exclusively U.S.-based semiconductor foundry. First announced as a definitive $1.8 billion cash-and-stock transaction in January 2026, the deal is set to close on July 31, 2026. Following transaction...

Unrouted Items

  • On Optimal Measurement-State Preparation via Geometric Transport of the Squeezing Ellipse

    Preparation of optimal measurement states is a key requirement in quantum metrology utilizing squeezed states. We discuss a geometric framework that transforms an initially misaligned squeezed input into a measurement-optimal state in SU(2)-symmetric systems. Within this framework, the orientation of the squeezing ellipse constitutes an additional geometric degree of freedom...

  • Pauli Encodings & Unclonable Encryption

    The unclonable bit question asks whether quantum encryption can prevent an adversary from producing two systems that both reveal the plaintext once the key is disclosed. We introduce and study Pauli Encodings, a simple class of one-bit encryption schemes whose ciphertexts are normalized eigenspace projectors of Pauli strings. For every Pauli Encoding with K Pauli strings, we...

  • Explicit Matrices over Z_2 with CNOT and Row Complexity 4n-o(n) and Local Logic Gates

    In this article, we present an explicit family of invertible n×n matrices over Z_2 whose CNOT and row complexity is at least 4n-o(n); equivalently, reducing these matrices to the identity requires at least 4n-o(n) elementary row operations. Moreover, the same complexity lower bound holds in the stronger computational model where the CNOT g...

  • Quantum Chaos and Diffusive Transport from Geometric Randomness

    The physics of quantum chaos and diffusive transport is typically studied in settings with microscopic disorder or many-body interactions. In this Letter, we demonstrate that these phenomena can arise purely from geometric randomness. By studying non-interacting quantum particles on random locally tree-like layered graphs with uniform couplings, we show that the geometric ra...

  • Statistically secure uncloneable encryption of arbitrary messages

    Unconditional uncloneable encryption of a single bit with efficient encryption and decryption is now possible. However, whether the extension to messages of arbitrary length achieves statistical security remains to be known. Using the fact that the encoding bases for the single-bit scheme known to be secure consist of a subset of the Clifford unitaries, we show that this sch...

  • Quantum Computing Enabled ab initio Molecular Dynamics Simulations

    We demonstrate a quantum-classical workflow for ab initio molecular dynamics (AIMD) in which quantum measurements from a chemistry-inspired LUCJ ansatz are post-processed using Sample-based Quantum Diagonalization (SQD) to recover determinant subspaces and deliver energies and analytical nuclear gradients for dynamics. As an exact benchmark, we use full configuration interac...

  • A Provable Oracle-Free Quantum Algorithm for Nonlinear Dynamics on Hybrid Oscillator-Qubit Processors

    We develop a hybrid qubit--qumode algorithm for nonlinear ordinary differential equations of the form dotx=f(x) with drift of polynomial degree~L. Following the Fokker--Planck route of Tennie and Magri, the algorithm propagates the state density and returns the deterministic trajectory as the peak of that density in the small-noise limit. Th...

  • When quantum thermal states look classical

    At high temperature, quantum Gibbs states retain several classical features of the maximally mixed state: the absence of entanglement, the absence of magic, analyticity of the partition function, correlation decay, and algorithmic tractability. We prove new and sharp bounds showing that these features persist down to finite temperatures independent of system size, but fail a...

  • Exact chiral symmetry with quantum signal processing

    We give a quantum signal processing (QSP) algorithm for the overlap fermion Hamiltonian which preserves the Ginsparg-Wilson relation up to a controllable error ε_e. Quantum simulations of Dirac fermions with exact chiral symmetry are thus nearly free: applying the overlap Hamiltonian costs only a factor logarithmic in ε_e more than the Wilson-Dirac Hamiltonian. Comparing...

  • Spectral gaps of ironed two-qubit gadgets matching the iSWAP gap

    We prove that every ironed two-qubit gadget whose KAK-derived parameter satisfies a=5/9 has, on the complete graph K_n with ngeqslant5, the same second-moment spectral gap as the iSWAP gadget. The central step is a representation-theoretic localisation theorem: the largest strictly negative eigenvalue of the associated S_n-invariant operator always occurs...

  • Quantum Steering and Nonlocal Correlations Between Non-Interacting Delocalized Electrons Under Rashba Spin-Orbit Interaction

    We investigate quantum steering and nonlocal correlations between two electrons in a two-dimensional electron gas (2DEG) as functions of Rashba spin-orbit interaction (RSOI) strength and inter-electron separation. We focus particularly on the Bi/Ag(111) system characterized by its strong RSOI (α_0 = 3.05×10^(-11) eV~m), and we explore the influence of tuning intensity...

  • Classical Tensor Network and Quantum Fourier Transform Approaches for Large-Scale Carr-Madan Option Pricing

    Fourier-based methods are among the most widely used techniques for pricing European options when the characteristic function of the underlying asset process is available. Their applicability to increasingly fine discretizations, however, is limited by the rapidly growing memory requirements of classical Fourier transforms, which become a computational bottleneck for large-s...

  • Improved Convergence of Carleman-Embedded Quantum Algorithm for the Vlasov-Poisson System

    We extend the regime of convergence of Carleman-embedded quantum algorithms that solve the Vlasov-Poisson equations from kinetic plasma physics. We establish convergence, using both analytical and numerical lower bounds, for physically reasonable collision frequencies using a Fourier-Hermite expansion of the shifted phase-space distribution function. We also show that for a...

  • Nearly optimal quantum circuits for Boolean oracles

    Quantum oracle of Boolean functions is one of the central bridges between classical and quantum algorithms, but the study focusing at quantum circuit optimization of such oracle is yet closed. In this paper, we propose nearly optimal tradeoffs among circuit size, circuit depth and ancilla count, for quantum oracles of three kinds of Boolean functions: general total Boolean f...

  • Emergence of a Macroscopic Cat State and Multi-Channel Entanglement in a Frustrated Cluster Spin Chain

    We study a one-dimensional frustrated spin chain, which combines cluster-Ising and anisotropic next-nearest neighbor Ising models. We first offer a historical perspective that justifies the studied model. Then we study in detail the two quantum phases and prove that they are separated by a first order quantum phase transition. On one side, the ground state corresponds to a f...

  • Performance Benchmarking: Software for the Density Matrix Renormalization Group

    The performance of scientific software often determines the scale of problems that can be solved in practice. As multiple implementations of the same algorithm emerge, systematic evaluation is needed to compare their strengths and limitations. The density matrix renormalization group (DMRG) algorithm, widely used to study quantum systems, has over 50 software implementations...

  • No-Go Theorems for Quantum Transport Metrics from Fixed Cost Operators

    Coupling-based quantum optimal transport generalizes classical optimal transport by representing transport plans as bipartite states with prescribed marginals and evaluating their cost as the expectation of a fixed Hermitian operator. Friedland et al. [Phys. Rev. Lett. 129, 110402 (2022)] conjectured that the square root of the optimal cost associated with the SWAP projector...

  • The cycle C9 does not admit uniform mixing

    We study continuous-time quantum walks (CTQWs) on cycles. In particular, we prove that the cycle C_9 does not admit uniform mixing at any time via algebraic geometry and Gröbner basis techniques to rule out all cyclic 9-roots.

  • Optimal T Counts under Sparsity: from QROM to State Preparation and Block Encoding

    Many quantum algorithms require coherent access to classical data, often modeled by quantum read-only memory (QROM). We initiate the study of the T count of sparse QROM, in which only s of the 2^n addresses store nonzero data. We prove asymptotically optimal T-count bounds Θ(√sm + √sn) with square-root dependence on the support size s and message leng...

  • Interacting Quantum Symmetric Exclusion Process

    We introduce and solve the Interacting Quantum Symmetric Exclusion Process (IQSEP), a family of models describing the stochastic quantum hopping of charged particles along the edges of a lattice, with hopping amplitudes that depend on the occupations of neighbouring sites. In the absence of interactions, they reduce to the standard quantum simple symmetric exclusion process,...

  • Quantum Arago-Fresnel interference of displaced spin states of photons

    The four laws by Arago and Fresnel distinguish the coplanarity of two light beams to determine their capacity of interference, laying the historic milestone for conceptualizing the polarization of light. Equipped with modern descriptions of non-classical states, we re-investigate the macroscopic Arago-Fresnel interference producible by photon helicities. To this end, we comp...

  • Purifications for Convex Cones

    Motivated by the importance of the purification principle in quantum theory and generalized probabilistic theories, we study purifications using only the geometry of a finite-dimensional proper convex cone. We prove an existence theorem for indecomposable cones and intermediate tensor cones containing the maximally entangled state; in particular, every interior point of an i...

  • Approximate sampling from decoded quantum interferometry via Markov chain Monte Carlo methods

    Optimization problems are among the leading candidates for industrially relevant quantum advantage. Decoded quantum interferometry (DQI) has been proposed to tackle approximate optimization, establishing a connection to classical decoding problems. While previous work has primarily focused on the theoretical complexity of DQI, comparatively little is known about its empirica...

  • Deterministic QKD source robust against side-channel attacks

    Quantum key distribution (QKD) is secure in principle, but practical security can be undermined by discrepancies between real devices and the idealized models assumed in security proofs. Source side channels, including those exploited by Trojan-horse attacks, are particularly detrimental: neglecting them compromises implementation security, whereas accounting for them reduce...

  • Poset-refined majorization relations

    Several classical majorization relations for sums or products of matrices involve a majorizing vector of perfectly aligned eigenvalues or singular values. By relaxing the order of alignment to a partial order, we show that the majorization can be strengthened, provided the change-of-basis matrices admit an LU-approximation with respect to this partial order. In this way, we...

  • Slow-light-enhanced Atomic Frequency Comb Quantum Memory in Stoichiometric EuCl_3 · 6D_2O

    Rare-earth-doped crystals are promising candidates for quantum storage, yet their performance in free-space configurations is fundamentally restricted by low optical depth. Here, we demonstrate high-efficiency quantum storage in a stoichiometric EuCl_3 · 6D_2O crystal, which intrinsically provides high optical density without the complexity of cavity implementation....

  • Scaling theory of decoherence in Dicke superradiance

    The survival of many-body coherence depends on the competition between correlation buildup and decoherence. In Dicke superradiance, collective emission builds up correlations, producing a peak intensity scaling as N^2 for N emitters. We develop a scaling theory including local dephasing and spontaneous emission and obtain fully collective, partially collective, and indep...

  • Unification of Quantum Graph Properties

    Many properties of classical graphs are defined in terms of subsets of the vertex set. Examples include connected components, which are subsets X ⊆V(G) such that X ×X^c and E(G) are disjoint, or independent sets, for which X ×X and E(G) are disjoint. Direct generalisations of these definitions to quantum graphs are difficult to achieve, since t...

  • Observation of Moiré Time Crystal in Floquet-driven Rydberg Atomic Gases

    A Moiré time crystal is a non-equilibrium quantum phase emerging from the coherent interference of two distinct frequencies, at least one being the intrinsic oscillation of a symmetry-broken time crystal. Its hallmark is an ultra-long beat period, reflecting a time-domain mapping of the Moiré fringes that arise from mismatched spatial lattices. However, to date, no experimen...

  • Bridging continuous control and Floquet driving for charging many-body spin chains

    Recent advances in quantum information and quantum thermodynamics have reshaped the understanding of energy storage at the microscopic scale, paving the way toward protocols for storing and transferring energy in quantum devices. These systems, known as quantum batteries, offer a conceptual alternative to conventional macroscopic chemical batteries by exploiting quantum cohe...

  • Exponential Advantage of Multipartite Entanglement over Quantum Communication with Applications to Bounded-Storage Cryptography

    We establish an exponential communication advantage enabled by multipartite quantum entanglement. Building on the bipartite Hidden Matching problem, we introduce a communication task involving multiple spatially separated senders and a single receiver. We show that a shared Greenberger-Horne-Zeilinger state enables completion of this task using only logarithmically many bits...

  • A CPU+DCU Heterogeneous Parallel Framework for Post-Processing Reconstruction in Quantum Circuit Cutting

    In the NISQ era, limited qubit resources make it difficult to execute large quantum circuits directly on real hardware. Quantum circuit cutting mitigates this limitation by decomposing a large circuit into smaller subcircuits, but it shifts substantial overhead to classical post-processing. As circuit size, complexity, and cut count increase, reconstruction becomes a major c...

  • Pusan National University and UNIST Demonstrate Hybrid Quantum Interconnect Benchmark

    Researchers at Pusan National University and the Ulsan National Institute of Science and Technology (UNIST) have demonstrated direct two-photon interference between two physically distinct, un-synchronized quantum light sources: a warm cesium atomic vapor ensemble and a semiconductor quantum dot (QD). Published in Light: Science & Applications, the breakthrough achiev...

  • HRL Laboratories Demonstrates Self-Running Silicon QPU in Nature Benchmark

    In a study published today in Nature, hardware developer HRL Laboratories—jointly owned by Boeing and General Motors—demonstrated an 18-qubit silicon spin quantum processing unit (QPU) that operates autonomously without real-time direction from room-temperature electronics. The integrated architecture replaces traditional racks of external control instruments with a custo...

  • Booz Allen Backs the Search for Quantum’s Next Breakout Company

  • NIST’s Andrew Regenscheid Explains the Transition to Post-Quantum Cryptography

  • Pusan National University Researchers Have Developed a Hybrid Quantum Network with Indistinguishable Quantum Sources

  • Vexlum Opens UK Laboratory and Appoints Dr. Stefan Truppe to Lead Local Operations

Desk

Chips

46 chip stack items collected on 2026-07-31; memory, packaging, compute, and foundry signals routed.

All collected Chips items (39)

Compute Accelerators

Memory and Advanced Packaging

Foundry, Tools, and Capex

Unrouted Items

Desk

Power

24 power layer items collected on 2026-07-31; data center load, grid, generation, and cooling signals routed.

All collected Power items (20)

Data Center Power Demand

Grid and Generation

Unrouted Items

  • Energia Costa Azul, Mexico's second LNG terminal, shipped first cargo

    Energia Costa Azul, the second liquefied natural gas (LNG) export facility in Mexico, shipped its initial cargo from Phase 1 of the terminal on July 8, according to the project developer. The completion of the project adds 0.4 billion cubic feet per day (Bcf/d) of nominal export capacity from a single train, tripling Mexico's LNG export capacity. The facility is the first te...

  • Global liquefied natural gas trade volumes reached record high in 2025

    Global liquefied natural gas (LNG) trade volumes increased 5.4% to a record 56.3 billion cubic feet per day last year (Bcf/d), driven largely by U.S. LNG export capacity expanding to meet growing demand, according to a recent report from the International Group of Liquefied Natural Gas Importers (GIIGNL). Global LNG trade has slowed this year following the closure of the key...

  • 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...

  • ENGIE and La Caisse select GE Vernova for the next phase of the modernization of Dinorwig pumped storage hydropower plant in North Wales, UK

    Paris, FRANCE (July 28, 2026) — First Hydro Company (joint venture between ENGIE and La Caisse), and GE Vernova Inc. (NYSE: GEV), announce the next phase of the modernization/replanting of the Dinorwig pumped storage hydropower plant in North Wales, UK. Under the agreement, GE Vernova is

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    VERESEGYHÁZ, Hungary – July 27, 2026 — GE Vernova Inc. (NYSE: GEV) is proud to mark the 25th anniversary of its Veresegyház facility this year, celebrating a quarter-century of excellence as the company’s largest Gas Power manufacturing base outside the United States. To honor this milestone, the

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    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

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