Daily brief · All editions
May 22, 2026
Federal CHIPS Act quantum commitments land alongside NVIDIA's GTC Paris European AI infrastructure push; AMD's EPYC Venice enters TSMC 2nm production ramp while EIA projects U.S. data center server electricity reaching 446-818 BkWh by 2050.
The day's read
Automated read, not yet reviewed by a human · How this worksOperator brief
- Rising
U.S. DoC signed nine letters of intent allocating $2.013 billion under CHIPS Act for quantum hardware and foundry developers; GlobalFoundries simultaneously launched a dedicated Quantum Technology Solutions business unit with active customer engagements. Federal quantum manufacturing support is moving from policy to procurement.
- Rising
NVIDIA's GTC Paris announcements cover a Germany-based 10,000-GPU industrial AI cloud (DGX B200 and RTX PRO), Blackwell infrastructure partnerships across European nations and enterprises, DGX Cloud Lepton compute marketplace expansion, and separate AI factory commitments for Saudi Arabia and Taiwan. Sovereign AI infrastructure spend is transitioning from pilot to named deployment at scale.
- Blocker
EIA's Annual Energy Outlook 2026 projects U.S. data center server electricity reaching 446-818 BkWh by 2050. Coal retirements in 2025 came in at 2.6 GW, the lowest annual figure since 2010, with 4.8 GW of planned retirements deferred and 1.1 GW cancelled. Virginia commercial electricity grew 30 million MWh in six years. Grid capacity is now a structural constraint for AI infrastructure expansion timelines.
Quantum
P1 U.S. DoC $2.013 Billion CHIPS Act Quantum LOIs
Nine non-binding letters of intent bring federal quantum hardware investment into execution range across hardware and foundry developers.
The read: LOIs are pre-contractual, but the simultaneous scope across nine developers signals a concerted effort to build domestic quantum fabrication capacity rather than rely on offshore foundries. Execution depends on contract conversion, which has historically taken 12-24 months from LOI stage.
P1 GlobalFoundries Quantum Technology Solutions Launch
An established high-volume contract semiconductor manufacturer formally enters the quantum hardware fabrication market.
The read: Dedicated foundry capacity from a volume manufacturer removes a key commercialization constraint for hardware developers previously dependent on academic or boutique fabs. The DoC announcement accompanying the launch suggests alignment with the CHIPS Act LOI portfolio.
P2 Flatiron Institute/CCQ: Classical Simulation Challenges Prior Supremacy Benchmark
Researchers at the Simons Foundation's Center for Computational Quantum Physics published work showing classical simulation methods can replicate outputs previously attributed to quantum advantage.
The read: This result narrows the specific benchmark rather than the field. Quantum hardware continues to progress on error correction and qubit counts. But it reinforces the principle that supremacy claims require sustained peer scrutiny before operators treat them as architectural decision inputs.
P2 Quantinuum and bp: Seismic Imaging Collaboration Scales from Pilot
A quantum-hybrid seismic imaging project transitions from a completed feasibility pilot to a production-oriented scaling phase targeting complex geophysical wave physics.
The read: Industrial quantum applications reaching production-scale trials remain uncommon. Seismic imaging is compute-intensive, and hybrid speedups in wave physics modeling could carry direct economic value for energy exploration before fault-tolerant quantum systems are available.
P2 Xanadu: QROM Toffoli Overhead Reduced ~50%; Nasdaq/TSX Listing
Xanadu published a QROM optimization reducing non-Clifford Toffoli gate overhead by approximately half, and completed a public listing on Nasdaq and TSX (ticker: XNDU).
The read: The algorithmic result is peer-verifiable and meaningful for any algorithm with QROM-heavy memory access. The public listing creates a capital-markets reference for quantum hardware company valuation that was not previously available.
Chips
P1 AMD EPYC Venice: TSMC 2nm Production Ramp
AMD's next-generation server CPU enters volume production on TSMC's 2nm process node.
The read: A high-volume datacenter CPU entering production on 2nm is the clearest validation yet that the node has moved from risk silicon to commercial yield. This is a supply-side timing signal for system integrators planning next-generation datacenter builds on 2nm-class silicon.
P2 Chiplet Economics: Cost Rises Are Not Automatic Disqualifiers But Require Accounting
A Semiconductor Engineering analysis examines conditions under which chiplet disaggregation raises total system cost and what forces might change that trajectory.
The read: The cost trajectory for chiplets is not automatically favorable over monolithic dies, particularly at low volumes or for designs where yield improvement does not offset packaging overhead. As AI accelerator packages grow more complex, per-unit packaging cost is a design variable.
P2 Low-Temperature Solders: Material Reliability Constraint for Chiplets and Photonics
Warpage, thermal sensitivity, and brittleness in low-temperature solders are creating reliability risk in complex multi-chiplet and photonic packages.
The read: Photonic co-packaging, targeted for next-generation AI interconnects, is entering the same thermal budget and material reliability space as advanced chiplet packaging. This is an active manufacturing constraint, not a future concern.
Power
P1 EIA AEO2026: Data Center Server Electricity Projected at 446-818 BkWh by 2050
The U.S. government's primary long-range energy forecast shows standalone data center server consumption growing faster than all other data center room types, with the 2050 range spanning nearly 2x depending on scenario.
The read: A 2x spread between scenarios is operationally significant. Operators building 10-plus-year infrastructure plans should stress-test against the high scenario; the gap implies that efficiency improvements alone cannot be counted on to flatten demand.
P2 ERCOT: Utility-Scale Solar Forecast to Exceed Coal Generation in 2026
EIA projects 78 BkWh of utility-scale solar generation in ERCOT for 2026, projected to exceed coal output in that grid for the first time.
The read: Texas is simultaneously the largest data center growth market in the U.S. and the region where this generation-mix crossover is occurring. For AI infrastructure operators, this shifts the renewable energy credit landscape and the average carbon intensity of Texas grid power.
P2 Coal Retirement Slowdown: 2.6 GW Retired in 2025, Lowest Since 2010
Planned coal plant retirements are being deferred or cancelled, keeping older generation capacity online longer than projected.
The read: Deferred retirements reflect grid reliability pressure from accelerating load growth. For AI infrastructure operators, the practical consequence is a dirtier average grid mix in major data center regions for longer than earlier retirement schedules implied.
P2 Virginia Commercial Electricity: +30 Million MWh (2019-2025)
Virginia's commercial electricity sales grew 30 million MWh in six years, the fastest growth of any state except Texas, driven primarily by data center concentration.
The read: Northern Virginia's utility infrastructure is now co-located with a material fraction of U.S. AI infrastructure. Utility interconnection capacity in that corridor is a direct constraint on new data center deployment timelines, not merely a cost variable.
AI Compute
P1 NVIDIA European AI Infrastructure: Industrial AI Cloud and Blackwell Partnerships
NVIDIA announced a Germany-based industrial AI cloud with 10,000 GPUs (including DGX B200 and RTX PRO Servers), alongside Blackwell infrastructure partnerships across European nations.
The read: These announcements are deployment commitments, not roadmap items. The industrial AI cloud framing signals NVIDIA's intent to position as infrastructure provider to manufacturers, not only to hyperscalers. The convergence of sovereign AI policy and industrial use case is shaping the next tranche of GPU demand.
P2 NVIDIA and HUMAIN: Saudi Arabia AI Factory Partnership
NVIDIA and Saudi Arabia's HUMAIN, a Public Investment Fund AI subsidiary, announced a partnership to build AI factories in Saudi Arabia.
The read: Sovereign AI infrastructure commitments across Europe, the Middle East, and Asia-Pacific are clustering within a short announcement window. The pace of ex-U.S. AI factory buildout is accelerating, with direct implications for global GPU allocation and supply chain concentration.
P2 AMD: Over $10 Billion in Taiwan Ecosystem Investment
AMD announced more than $10 billion in Taiwan ecosystem investment commitments targeting AI infrastructure supply chain and manufacturing.
The read: Both major GPU/CPU vendors are deepening supply chain concentration in Taiwan through the TSMC relationship. At $10 billion-plus, the scale of AMD's commitment mirrors NVIDIA's infrastructure expansion trajectory.
P2 Oracle and NVIDIA: Agentic AI Inference Integration
Oracle and NVIDIA announced integration between NVIDIA's accelerated computing and inference stack and Oracle's AI infrastructure and generative AI services.
The read: Enterprise cloud providers integrating NVIDIA's inference stack natively reduces friction between hardware procurement and production deployment. This is a supply-side signal for enterprise AI adoption velocity.
Collected items by desk
Desk
Quantum
70 quantum research items collected on 2026-05-22; hardware, control, and industry signals routed.
All collected Quantum items (59)
Hardware and Error Correction
Sudden death of entanglement, rebirth of magic
Local Markovian noise cannot bring entanglement back, but it can bring magic back. Unlike separability, stabilizer membership is not preserved by local channels, allowing dissipation to push states out of the stabilizer polytope as well as in. Under local amplitude damping, the n-qubit GHZ family α|0^n⟩+β|1^n⟩ (0<α<β) loses its magic at a lower damping stre...
Quantum Batteries in two-dimensional material-based Josephson Junctions
We investigate the solid-state implementation of a Dicke-like quantum battery consisting of a two-dimensional material-based Josephson junction inductively coupled to a resonator, using graphene as a representative example. In this configuration, Andreev bound states naturally act as non-interacting, energetically non-degenerate two-level systems, and the setup allows for bo...
Long-range nonstabilizerness of topologically encoded states from mutual information
We study long-range nonstabilizerness (LRN), namely the obstruction to remove nonstabilizerness with shallow-depth local quantum circuits. In one-dimensional settings, the mutual information between disconnected spatial regions has proven to be a powerful tool to diagnose LRN. In this work, we focus on encoded states of two-dimensional topologically-ordered systems, and expl...
Ratchet Universality and optimal suppression of shot noise in biharmonically-driven tunnel junctions
This Letter discusses two retrodictions of the law of ratchet universality which explain previous numerical and experimental results concerning the diode effect in conventional superconducting tunnel-junctions in one case, and controlled suppression of electron-hole pair generation in a tunnel junction in the other, both in the presence of biharmonic driving fields. Our stud...
The relative entropy of magic and its nonadditivity
In most stabilizer-based quantum computing schemes, so-called magic states are a necessary resource for implementing non-transversal quantum gates. With the resource theory of magic, it is possible to analyze and quantify the generation of the non-stabilizer states. The relative entropy is a measure used in various resource theories. For single qubits, we characterize magic...
Open optical or plasmonic resonators are placed on and connected through surfaces or via waveguides, forming complex lightguiding nanostructures, e.g. for integrated photonic quantum devices. We derive general boundary conditions for quasinormal modes that account for the structure's specific geometry. We then present a general quantization scheme for multiple, interacting q...
Electron modulation and ultrafast near-field imaging with vectorial laser fields
Controlled interaction of laser light with electron beams is fundamental for ultrafast electron microscopy and electron-based quantum optics, yet their direct coupling is forbidden in free space. Here we use longitudinally polarized light at a thin membrane and show that the emerging focal fields can modulate the electron beam in a direct, coherent and linear way, without th...
Symmetry Breaking as Quantum Gate: Entropy and Weak Mixing Angle
We establish a correspondence between two independent entropic probes -- the variation of Rényi mutual information (RMI) across the electroweak symmetry breaking (EWSB) transition and the stabilizer Rényi entropy (SRE) -- in tree-level 2→2 elastic scatterings. After angular averaging, the RMI (helicity basis) and the SRE (fixed beam basis) exhibit identical dependence o...
Control and Quantum-AI Integration
Bottom-up open EFT for non-Abelian gauge theory with dynamical color environment
We develop a bottom-up open effective field theory (EFT) for non-Abelian gauge theories within the Schwinger--Keldysh formalism. Instead of integrating out the environment completely and starting from a nonlocal influence functional, we retain the slow environmental response variables explicitly and construct a local system-environment EFT. The environmental sector is descri...
Measurement-based quantum heat engines have attracted significant interest as alternatives to conventional thermal engines, as they replace the hot thermal reservoir with quantum measurements, thereby offering greater controllability and simpler implementation. Motivated by these advantages, we investigate a measurement-driven quantum Otto engine with a qubit working substan...
A Formal Basis for Quantum Cryptographic Exposure Measurement under HNDL Threat
An adversary copies your encrypted traffic today and waits for a quantum computer to decrypt it later. How exposed are you? We show that the functional form of the answer is not merely a calibration choice -- it is structurally justified by three assumptions about adversarial production and value-decay dynamics. Under those assumptions, the HNDL compromise probability factor...
Reinforcement learning for ion shuttling on trapped-ion quantum computers
Scalable trapped-ion quantum computing is commonly realized with modular chips that feature distinct zones with specific functionalities, such as storage, state preparation, and gate execution. To execute a quantum circuit, the ions must be transported between these zones. This process is called ion shuttling. To achieve reliable computation results, the shuttling process mu...
Factorization rule for multitime correlations in non-Markovian open quantum systems
Experiments performed on quantum systems often measure multitime correlation functions. When quantum systems are weakly coupled to their environment, the time evolution of such correlation functions can be reduced to that of the reduced density matrix by the quantum regression theorem (QRT). While no QRT is available for general non-Markovian open quantum systems, we show th...
Computable lower bound of the parameterized entanglement monotone
Although numerous measures of entanglement have been proposed so far, the calculation of a given faithful entanglement measure is a hard work since it is always involved in some optimization process. It is, therefore, important to estimate the lower bound of a given entanglement measure for an arbitrary quantum state. This results in a subject of intensive mathematical resea...
Q-PhotoNAS: Hybrid Quantum Neural Architecture Search Framework on Photonic Devices
Photonic quantum computing is a promising platform for scalable quantum machine learning, but designing effective hybrid architectures remains challenging under hardware and optimization constraints. Existing approaches rely on manually tuned architectures that fail to account for the collaboration between classical preprocessing, phase encoding, and photonic circuit structu...
Kipu Quantum Launches Hybrid Framework to Enable Offline Inference for Quantum Machine Learning
Kipu Quantum has released an off-line Digitized Quantum Feature Extraction (DQFE) pipeline that allows quantum-enhanced machine learning models to execute inference operations entirely on classical hardware. The architecture separates the quantum and classical processing loops, restricting quantum processor utilization to an initial, specialized training stage. By elimina...
Commercial and Industry Context
Optically trapped ultracold polar molecules can have multiple long-lived states for coding quantum information, and can exhibit electric dipole-dipole interactions~(DDI) which enables entanglement generation. The general understanding on the quantized motion~(QM) of molecules in the traps is that it causes fluctuation of DDI. Here, we find that the molecular QM can realize a...
GlobalFoundries Launches Specialized Business Unit to Expand Onshore Quantum Hardware Manufacturing
GlobalFoundries (GF) has established a new business division, Quantum Technology Solutions, to scale commercial fabrication capabilities for the quantum computing industry. The unit enters the market with active customer engagements and a pipeline of quantum hardware developers preparing to scale production. In conjunction with this launch, the U.S. Department of Commerce...
Quantinuum and bp Expand Collaboration Targeting Quantum-Accelerated Seismic Imaging
Quantinuum has entered into a scaled technical project with multinational integrated energy firm bp to develop quantum-hybrid algorithms for subsurface seismic imaging. The project transitions from a successful feasibility pilot into a production-oriented scaling phase designed to model more complex geophysical wave physics properties. The industrial application targets c...
WISeKey and SEALSQ Introduce Quantum-Resilient Robotics Platform and Operational Architecture
WISeKey International Holding Ltd and its public semiconductor and public key infrastructure (PKI) subsidiary, SEALSQ Corp, have launched the official platform and technology roadmap for WISeRobot.ch. The initiative integrates conversational artificial intelligence with hardware-embedded post-quantum cryptography (PQC) to shield autonomous systems against quantum-accelera...
Quantinuum and bp Explore Quantum Computing for Seismic Imaging
Unrouted Items
How many systems can be dephased before the quantum switch becomes causally definite?
Quantum processes with indefinite causal order -- so-called causally nonseparable processes -- can exhibit various advantages over quantum circuits with a fixed or a well-defined causal structure. A natural question is how much nonclassicality is required for a process to display causal nonseparability. Here we address this by investigating how many systems can be dephased (...
One-photon communication in atomic media
We consider the problem of single-photon transmission through an atomic medium, using quantum channel fidelity to describe the resulting information loss. We find that the normalized fidelity decreases monotonically with coupling strength, establishing a performance bound for quantum communication through such media. Our results hold for several channel types and for determi...
We establish that the non-adiabaticity parameter has a direct geometric interpretation as the instantaneous evolution speed of a driven quantum state in projective Hilbert space under the Fubini Study metric. In contrast to conventional asymptotic approaches, the proposed framework provides a strictly local geometric criterion that allows non-adiabatic instability and its no...
Adiabatic Quantum Phase Estimation
Quantum phase estimation (QPE) is a central algorithmic primitive that estimates eigenvalues of a Hamiltonian up to precision ε in Heisenberg-limited time T=Θ(1/ε). Standard gate-based implementations of QPE require deep controlled time-evolution circuits and are not native to analog hardware. Here, we present a simple adiabatic protocol for QPE that achieves (up to loga...
A sharp interaction-degree threshold for simulating QAOA
We identify a sharp interaction-degree threshold for the classical simulation of QAOA with $2$-local cost functions. At degree $3$, classical sampling from depth-$1$ QAOA with small multiplicative error would collapse the polynomial hierarchy to its third level. At degree $2$, exact classical sampling from depth-p QAOA on n qubits runs in time n^(O(1)) whenever $p = O(...
Quantum circuit design via dynamic Pauli constraints
We introduce a novel software-oriented model of quantum computation motivated by the practical constraints of near-term quantum hardware. In this model, gates are specified by constraints expressed in terms of Pauli observables, with each disjoint layer of gates accompanied by a pairwise or k-local quantum state tomography of the device. We prove that the model is equivale...
Self-testing of exact entanglement embezzlement
We consider bipartite exact entanglement embezzlement with a catalyst state vector ψ in a Hilbert space H using unitaries (or more generally, contractions). If M ⊆B(H) is a von Neumann algebra and U ∈M_d ⊗M and V ∈M' ⊗M_d are unitaries (or more generally contractions), then suc...
We demonstrate a practical countermeasure against a well-known class of attacks on quantum key distribution (QKD) systems that exploit detection efficiency mismatch, where the receiver's detectors do not exhibit identical responses to incoming photons across all degrees of freedom. This class of quantum hacking strategies is broad and significantly includes the time-shift at...
Entanglement Dynamics across a Monitored Quantum Point Contact
We compute the entanglement dynamics across a monitored quantum point contact, where particle losses are recorded on a given site, and demonstrate how this single-site local monitoring substantially reshapes the entanglement production. Contrary to the unitary case, where entanglement entropy grows logarithmically in time, here we find first a linear growth, up to a maximum...
Joint Unitarity and a Single Definite Outcome in a Quantum Measurement
We investigated the possibility that a single measurement run with a definite outcome is a joint unitary evolution of all the participating systems, and measurement runs with different definite outcomes correspond to different unitary maps. With reasonable assumptions, we derived a lower bound of the dependence of the environment after measurement on the state of the system...
We present a streamlined implementation of a computational framework for constructing and analyzing reduced dynamical maps for complex system--bath models at finite temperature. The methodology is based on three established ingredients of quantum dynamics: the Choi--Jamiołkowski isomorphism for the representation of quantum channels, thermofield (TFD) purification of thermal...
Minimal Permutation-Invariant Qudit Codes from Edge-Colorings of Complete Graphs
We study permutation-invariant quantum codes in the symmetric subspace Sym^n(C^q) of n qudits of local dimension q. For every integer q≥2, we construct a permutation-invariant code with parameters ((4,q,2))_q. Thus four physical qudits suffice to encode one logical qudit with distance two in the symmetric sector for every local dimension. We...
As trapped-ion quantum computing scales to larger qubit registers and more complex control protocols, classical control systems face a fundamental tradeoff: sub-microsecond board-level feedback requires tight hardware coupling, whereas maintainability and extensibility require clean, modular software abstractions. This paper presents QuCtrl-BELL (Bell), a compiler-driven sof...
Dual wavelength source of entanglement for space quantum communication
We report the demonstration of a bulk, intrinsically phase-stable source of polarization- and time-energy-entangled photon pairs at 810nm and 1550nm, directly coupled into single-mode optical fibers. This highly non-degenerate wavelength combination is well suited for hybrid quantum communication networks, enabling low-loss transmission in optical fibers at 1550nm while main...
Shielded inner-shell transitions in atomic samarium for tests of fundamental physics
Forbidden atomic transitions provide some of the most stringent low-energy tests of physics beyond the Standard Model, with sensitivity set by the interplay between the sought-for signals and systematics suppressed by symmetry. Here we identify the previously unobserved 4f^66s^2 ^5D_0 level of neutral samarium at 14 564.90(2) cm^(-1), opening the...
Modular Variables and the Limits of Phase Detectability in Open Quantum Systems
Modular variables serve as a striking example of quantum nonlocality, particularly in superpositions of wave packets that are spatially well separated, where the relative phase between components cannot be accessed through conventional local measurements. In this work, we explore the time evolution of Hermitian modular operators for Gaussian wave-packet superpositions under...
Emulation of Optically Interconnected Quantum Data Centers Topologies for Cost-Fidelity Benchmarking
We emulate optically interconnected quantum processors in ring, star, and line topologies using a quantum computer. GHZ benchmarks show that the star provides the best trade-off between cost and fidelity under transduction and fiber noise.
Statistical Interpretation of the Procedures Measurement of Physical Quantities
This work develops a conceptual framework for the foundations of quantum physics, linking two main approaches: the algebraic formulation and quantum probability. Rather than proposing new axioms or theories, the text reorganizes and synthesizes existing models, highlighting their assumptions, conceptual structures, and operational significance. The analysis begins with von N...
Geometric Construction of Optimal Teleportation Witnesses
Not all entangled states are useful for quantum teleportation. We present a geometric method to construct optimal teleportation witnesses, which provide operational necessary and sufficient criteria for identifying the teleportation usefulness of arbitrary two-qudit entangled states. Specifically, by developing a two-layer iterative cutting-plane algorithm to solve the short...
Three sins against physics by an exaggerated quantum information perspective
I point out three ways in which the perspective of quantum information may lead to distorted claims about physics: forgetting that light does not need to be quantised to show coherence; ignoring the generators of unitary evolutions; and approaching the discovery of nature as a fight against an adversary.
The unified entropy as a promotion of the von Neumann entropy exhibits distinct diversity which contains the Tsallis entropy, the Rényi entropy, the von Neumann entropy as special cases. The unified-(r,t) entropy entanglement with $0
We provide a general theoretical derivation of the phase sensitivity achieved by SU(1,1) interferometers under homodyne detection. The general expressions obtained accommodate arbitrary input states and include internal and external losses. In this systematic review, both full SU(1,1) interferometers with two parametric amplifiers and the truncated interferometers with only...
We demonstrate how the relative phase between the multiple time periodic driving can decide the emergence and the favorable localization direction of non-Hermitian skin modes. For the static non-Hermitian quantum chain with parity time symmetry, non-Hermitian skin effects (NHSEs) can be prohibited. As the dynamical driving is turned on, NHSEs get artificially reactivated, wh...
Nonclassical Cutoff Fluctuations in Squeezed-Light-Driven High-Harmonic Generation
Strong-field high-harmonic generation (HHG) is conventionally described semiclassically, with the driving laser treated as a classical field. This approximation becomes insufficient in nanoscale interaction geometries, where extreme spatial confinement raises the vacuum-field amplitude to the ~10^-2 level relative to the driving-field amplitude. When the quantum fluctuations...
Multi-Modal Spectroscopy Theory for Ultrafast Control of Rabi Oscillations
We propose a three-cavity scheme to realize full control of the emitter-cavity coupling strength in cavity quantum electrodynamics (cQED). The involvement of coupled oscillators gives rise to transient dynamics comprising multiple spectral components, which significantly increases the numerical cost to resolve the fluorescence spectrum in the time domain. A generalized senso...
A2QTGN: Adaptive Amplitude Quantum-Integrated Temporal Graph Network for Dynamic Link Prediction
Dynamic link prediction is important for modeling evolving interactions in complex systems, including social, communication, financial, and transportation networks. Classical temporal graph models capture sequential dependencies, but they may struggle to represent concurrent and rapidly changing node-edge interactions in large dynamic graphs. We propose A2QTGN (Adaptive Ampl...
Phase-tunable remote nonreciprocal charging in waveguide QED
Remote quantum batteries require directional and controllable energy transfer between spatially separated quantum nodes, yet most existing protocols rely on direct charger-battery Hamiltonian couplings. Here we propose a phase-tunable waveguide-QED architecture for remote quantum-battery charging, in which a driven charger and a remote battery are coupled solely via engineer...
Dissipation-Selected Resonant Fronts in a Driven-Dissipative Bose-Hubbard Lattice
Spatially structured dissipation organizes driven quantum matter beyond Hamiltonian control. We show that a dissipation gradient combined with a Stark-induced detuning ramp selects a nonlinear resonance slice in a two-dimensional driven-dissipative Bose-Hubbard lattice, producing a pinned density front in generalized Gross-Pitaevskii simulations. The underlying resonance con...
Photon Anomalous Blockade in Waveguide Cavity QED with Atomic Mirrors
Waveguide cavity quantum electrodynamics (QED) with atomic mirrors is a growing research area of quantum optics and can be applied to quantum information processing. We here study the photon statistics of output fields from a waveguide cavity QED system, in which the waveguide is coupled to quantized mirror atoms and one driven medium atom. Our results show that the photon b...
Device-Independent Quantum Secret Sharing Protocol Enhanced by Advantage Distillation
Device-independent quantum secret sharing (DI-QSS) provides high security by eliminating the need to trust devices, yet its practical performance is limited by channel loss and noise. This work extends advantage distillation from two-party quantum key distribution (QKD) to three-party DI-QSS, redesigning the corresponding data interaction and verification procedures. The tec...
SBQuantum has been awarded two defense procurement contracts totaling $3 million CAD ($2.2 million USD) to deliver and validate its proprietary quantum diamond magnetometers in operational military environments. Funded through the Government of Canada’s primary defense innovation initiatives, the dual awards support the deployment of localized quantum-sensing platforms to...
Illinois Consolidates Position as National Leader in Quantum Workforce Infrastructure Development
A joint institutional research coalition has published a foundational workforce study positioning Illinois as a primary national hub for quantum information science and technology (QIST) talent development. The first-of-its-kind report was co-authored by the Illinois Science and Technology Coalition (ISTC), the Illinois Economic Development Corporation (IEDC), the Illinoi...
Xanadu Announces Algorithmic QROM Optimization Cutting Toffoli Gate Overhead by Half
Xanadu Quantum Technologies Limited has finalized a public stock exchange listing on the Nasdaq and TSX (Ticker: XNDU), accompanied by the announcement of a core algorithmic optimization in Quantum Read-Only Memory (QROM) modules. Detailed in a technical pre-print by researchers Danial Motlagh and Matthew Pocrnic, the architectural blueprint reduces the non-Clifford opera...
The U.S. Department of Commerce has signed nine non-binding letters of intent (LOIs) to allocate $2.013 billion in federal incentives under the CHIPS and Science Act. Administered by the CHIPS Research and Development Office, the capital injection establishes a national portfolio targeting advanced manufacturing, sovereign microelectronics innovation, and hardware optimiz...
Quantum Dynamics Advance Overturns Claim of ‘Quantum Supremacy,’ Opens New Research Directions
Illinois Report Highlights Growth in Quantum Workforce Development
Xanadu Develops More Efficient Quantum Read-Only Memory Method
Desk
Chips
46 chip stack items collected on 2026-05-22; memory, packaging, compute, and foundry signals routed.
All collected Chips items (39)
Compute Accelerators
NVIDIA RTX PRO Servers With Blackwell Coming to World’s Most Popular Enterprise Systems
NVIDIA today announced that the NVIDIA RTX PRO™ 6000 Blackwell Server Edition GPU is coming to the world’s most popular enterprise servers, speeding the shift from traditional CPU systems to accelerated computing platforms.
NVIDIA Builds World’s First Industrial AI Cloud to Advance European Manufacturing
NVIDIA today announced it is building the world’s first industrial AI cloud for European manufacturers. This Germany-based AI factory will feature 10,000 GPUs, including through NVIDIA DGX™ B200 systems and NVIDIA RTX PRO™ Servers, and enable Europe’s industrial leaders to accelerate every manufacturing application, from design, engineering and simulation to factory digital...
NVIDIA DGX Cloud Lepton Connects Europe’s Developers to Global NVIDIA Compute Ecosystem
NVIDIA today announced the expansion of NVIDIA DGX Cloud Lepton™ — an AI platform featuring a global compute marketplace that connects developers building agentic and physical AI applications — with GPUs now available from a growing network of cloud providers.
Europe Builds AI Infrastructure With NVIDIA to Fuel Region’s Next Industrial Transformation
NVIDIA today announced it is working with European nations, and technology and industry leaders, to build NVIDIA Blackwell AI infrastructure that will strengthen digital sovereignty, support economic growth and position the continent as a leader in the AI industrial revolution.
NVIDIA Announces DGX Cloud Lepton to Connect Developers to NVIDIA’s Global Compute Ecosystem
NVIDIA today announced NVIDIA DGX Cloud Lepton™ — an AI platform with a compute marketplace that connects the world’s developers building agentic and physical AI applications with tens of thousands of GPUs, available from a global network of cloud providers.
Foxconn Builds AI Factory in Partnership With Taiwan and NVIDIA
NVIDIA and Foxconn Hon Hai Technology Group today announced they are deepening their longstanding partnership and are working with the Taiwan government to build an AI factory supercomputer that will deliver state-of-the-art NVIDIA Blackwell infrastructure to researchers, startups and industries.
NVIDIA Blackwell GeForce RTX Arrives for Every Gamer, Starting at $299
NVIDIA today announced the NVIDIA GeForce RTX™ 5060 family of GPUs, including two graphics cards that deliver neural rendering and NVIDIA Blackwell architecture innovations for every gamer — starting at just $299.
Oracle and NVIDIA Collaborate to Help Enterprises Accelerate Agentic AI Inference
Oracle and NVIDIA today announced a first-of-its-kind integration between NVIDIA accelerated computing and inference software with Oracle’s AI infrastructure, and generative AI services, to help organizations globally speed creation of agentic AI applications.
Memory and Advanced Packaging
With Chiplets, What Role Does Economics Play?
Costs can rise with chiplets. Will that change? Will it matter?
Low-Temp Solders Are Suddenly Critical For Chiplets And Photonics
Warpage, heat, and brittleness can cause huge reliability problems for expensive designs.
Foundry, Tools, and Capex
Taiwan, Europe packaging buildout; 2nm ramps; quantum big $; 2 new university hubs; agent honeypots; Samsung strike averted; extreme environment chip design; quantum-dot qubit device fabricated w/high-NA EUV; EU flagship power electronics project; CNTs.
Unrouted Items
NVIDIA and Global Telecom Leaders Commit to Build 6G on Open and Secure AI-Native Platforms
NVIDIA today announced a commitment — together with Booz Allen, BT Group, Cisco, Deutsche Telekom, Ericsson, MITRE, Nokia, OCUDU Ecosystem Foundation, ODC, SK Telecom, SoftBank Corp. and T-Mobile — to build the world’s next generation of wireless networks on AI-native, open, secure and trustworthy platforms.
NVIDIA today announced a collaboration with Palantir Technologies Inc. to build a first-of-its-kind integrated technology stack for operational AI — including analytics capabilities, reference workflows, automation features and customizable, specialized AI agents — to accelerate and optimize complex enterprise and government systems.
NVIDIA Partners With Novo Nordisk and DCAI to Advance Drug Discovery
NVIDIA today announced a collaboration with Novo Nordisk to accelerate drug discovery efforts through innovative AI use cases. The work supports Novo Nordisk’s agreement with DCAI to use the Gefion sovereign AI supercomputer.
Siemens and NVIDIA Expand Partnership to Accelerate AI Capabilities in Manufacturing
Siemens and NVIDIA announced today an expansion of their partnership to accelerate the next era of industrial AI and digitalization and enable the factory of the future.
NVIDIA Partners With Europe Model Builders and Cloud Providers to Accelerate Region’s Leap Into AI
NVIDIA GTC Paris at VivaTech—NVIDIA today announced that it is teaming with model builders and cloud providers across Europe and the Middle East to optimize sovereign large language models...
NVIDIA Powers Europe’s Fastest Supercomputer
NVIDIA today announced that the JUPITER supercomputer, powered by the NVIDIA Grace Hopper™ platform, is the fastest in Europe — delivering a more than 2x speedup for high-performance computing and AI workloads compared with the next-fastest system.
NVIDIA RTX PRO Servers Speed Trillion-Dollar Enterprise IT Industry Transition to AI Factories
NVIDIA today announced it is speeding the trillion-dollar IT infrastructure transition to enterprise AI factories with NVIDIA RTX PRO™ Servers and a new NVIDIA Enterprise AI Factory validated design for building data centers that deliver universal acceleration for AI, design, engineering and business applications.
NVIDIA Launches AI-First DGX Personal Computing Systems With Global Computer Makers
NVIDIA today announced that Taiwan’s leading system manufacturers are set to build NVIDIA DGX Spark and DGX Station™ systems.
NVIDIA and the Kingdom of Saudi Arabia (KSA) today announced partnerships to transform the country into a global powerhouse in AI, cloud and enterprise computing, digital twins and robotics.
HUMAIN and NVIDIA Announce Strategic Partnership to Build AI Factories of the Future in Saudi Arabia
HUMAIN, the new full AI value chain subsidiary of Saudi Arabia’s Public Investment Fund, today announced a landmark strategic partnership with NVIDIA, the world leader in AI computing infrastructure, to drive the next wave of artificial intelligence development.
NVIDIA today announced a collaboration with GE HealthCare to advance innovation in autonomous imaging, focused on developing autonomous X-ray technologies and ultrasound applications.
NVIDIA, Alphabet and Google Collaborate on the Future of Agentic and Physical AI
Joint Initiatives Span Infrastructure and Open Model Optimizations, Offer Major Strides in Robotics, Drug Discovery and MoreSAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) -- Building on ...
NVIDIA Introduces HGX-2, Fusing HPC and AI Computing into Unified Architecture
GTC Taiwan—NVIDIA today introduced NVIDIA HGX-2, the first unified computing platform for both artificial intelligence and high performance computing.
How Architecture Firm WBCM Is Moving to 100% Virtualization
Small IT teams often have to play big to keep up with their firm’s global operations. That’s the case at Whitney Bailey Cox & Magnani, LLC (WBCM), an architecture, engineering and construction services group that designs and builds projects for the U.S. Army Corps of Engineers, the NFL’s Baltimore Ravens, Lockheed Martin, the Ritz-Carlton and […]
Rendering Made Easy: Iray Server Makes Light Work of Complex Designs
Ever wish you could harness the power of an entire network of workstations to make light work of your most complex designs? Now you can, with Iray Server, our distributed rendering software. Available for a free 90-day trial starting today, Iray Server coordinates a network of machines as a “cluster” to speed the creation of…
More Users, Better Performance: NVIDIA GRID Boosts Blast Extreme in VMware Horizon
What IT department wouldn’t want to be able to do more with their current infrastructure? With NVIDIA GRID, they can. NVIDIA GRID acceleration of Blast Extreme — a new protocol for optimizing the mobile cloud — is now supported in VMware Horizon 7. What’s that mean for IT managers? Reduced latency. Improved performance. And up…
How Virtual Reality Is Making the Leap into Everyday Life
Headlines about virtual reality often focus on how it’s upending the world of gaming. But VR is also revolutionizing fields across everyday life — areas like medicine, architecture, education, product design and retailing. A great example is Audi’s new virtual showroom where you can explore each of their models in vivid detail through VR. The German…
AMD Announces More Than $10 Billion in Taiwan Ecosystem Investments to Accelerate AI Infrastructure
AMD Gives Consumers and Businesses More AI PC Options with Expanded Ryzen™ AI 400 Series Portfolio
AMD and TCS to bring state-of-the-art ‘Helios’ rack-scale AI architecture to India
Beyond Ideal Crystals: The Case For Scale In Atomistic Modeling
Capturing important details without making calculations impractically expensive.
Advancing Heterogeneous Integration Through Industry Roadmap Improvements
More detailed roadmaps are needed to guide how the industry stacks, connects, powers, and cools tomorrow's chips.
AI & Energy: Bending The Curve
Sustaining AI progress requires energy-efficient computing with holistic co-design and co-optimization across the entire ecosystem.
Enabling Production-Ready AI For Semiconductor Manufacturing
Deep learning for inspection needs an operationalization layer that puts capability in the hands of engineers closest to the process.
Cost-Effective High-Performance Flip Chip MicroLeadFrame (fcMLF) Package Introduction
Enabling electrical and thermal performance enhancements while maintaining the manufacturing efficiency and scalability of the MLF leadframe technology.
Desk
Power
22 power layer items collected on 2026-05-22; data center load, grid, generation, and cooling signals routed.
All collected Power items (17)
Data Center Power Demand
Data center server energy use grows across the commercial building stock
In the Annual Energy Outlook 2026 (AEO2026), our long-term outlook, we project electricity consumed by data center servers will increase across the commercial building stock, increasing more in standalone data centers than in all other data center rooms combined. By 2050, server consumption alone reaches between 446 billion kilowatthours (BkWh) and 818 billion BkWh. The high...
Commercial electricity sales have soared in Virginia, driven by data centers
Commercial electricity sales in Virginia increased by nearly 30.0 million megawatthours (MWh) between 2019 and 2025, much faster growth than in any other state except Texas, a much larger state, according to our Annual Electric Power Industry Report. The growth in sales of electricity in Virginia is largely driven by a concentration of data centers, as well as electric vehic...
Small modular reactors and microreactors under development in the United States
Electric utilities in the United States currently operate about 98 gigawatts (GW) of nuclear generating capacity, but very little nuclear capacity has been built in the last few decades. High capital costs and lengthy licensing and approval processes have limited the expansion of nuclear power. However, several companies are developing new small modular reactor (SMR) designs...
U.S. coal-fired generating capacity retired in 2025 was the least in 15 years
During 2025, the U.S. electric power sector retired 2.6 gigawatts (GW) of coal-fired generating capacity at four power plants, the least since 2010. At the beginning of 2025, coal plant operators had planned to retire 8.5 GW of capacity; however, 4.8 GW of planned retirements were delayed to a future year, and the operators of two coal plants (1.1 GW) cancelled plans to reti...
Rooftop solar photovoltaic systems account for 20% of Puerto Rico's capacity mix
Rooftop solar generating capacity in Puerto Rico totaled 1,456 megawatts (MW) at the end of 2025, 20% of the overall capacity mix. Rooftop solar capacity has increased faster than other sources over the past decade. Between 2016 and 2025 rooftop solar installations accounted for 81% of the new generating capacity in Puerto Rico, according to data from our Electric Power Mont...
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
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...
Hydropower generation expected to recover despite snow drought in the West
In our April Short-Term Energy Outlook (STEO), we expect U.S. hydropower generation will increase by 5% in 2026 but remain 1.8% below the 10-year average following snow drought conditions in some states. Hydropower generation in 2025 increased to 245 billion kilowatthours (BkWh), about 4 BkWh more than the record-low generation year 2024. In 2026, we expect generation will b...
GE Vernova secures order to modernize key power plants in Egypt
CAIRO, Egypt (April 29, 2026) – GE Vernova Inc. (NYSE: GEV) announced today that it received an order from an affiliate of Egyptian Electricity Holding Company (EEHC,) Middle Delta Electricity Production Company (MDEPC), to modernize power generation infrastructure and improve
GE Vernova announces new wind turbine orders from BBWind and Greenvolt Power in Germany
MADRID, SPAIN (April 23, 2026) - GE Vernova’s Wind segment announced today that it has secured agreements to supply 71.5 MWs of onshore wind turbines to BBWind and Greenvolt Power for various projects across Germany. The deals, which were booked in the Q4 of 2025, represent a significant milestone
Staffordshire, U.K. (April 22, 2026) – The GE Vernova Foundation today announced Engineers of Change, a dynamic new initiative designed to inspire the next generation of engineers and energy leaders through early exposure to engineering, hands-on learning, and direct connections with industry
Greenville, S.C. (April 22, 2026) – The GE Vernova Foundation today announced Engineers of Change, a dynamic new initiative designed to inspire the next generation of engineers and energy leaders through early exposure to engineering, hands-on learning, and direct connections with industry
Unrouted Items
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
GE Vernova expands manufacturing capacity in Vietnam to support growing global electrification needs
Hai Phong, Vietnam | March 10, 2026 – GE Vernova (NYSE: GEV) today announced an investment of approximately $200 million to expand manufacturing capacity within its Electrification segment by establishing a new facility in Hai Phong, Vietnam. GE Vernova’s Electrification segment provides
HANOI, Vietnam (March 10, 2026) – GE Vernova Inc. (NYSE: GEV) today hosted the inaugural Energy of Change Summit in Hanoi, bringing together over 400 senior representatives from government, national utilities, suppliers, and energy ecosystem stakeholders across Vietnam and Asia. Hosted by Scott
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