17 papers in the last 30 days, 3 in the 30 days before (+467%).
Entangled Measurement Outcomes for Optimal Postselection in Quantum Batteries (opens in a new tab)
arXiv - Quantum physics
Postselection can enhance the performance of a selected quantum battery branch, raising the question of whether the optimum can always be achieved by product measurements on the auxiliary subsystems. For battery auxiliary states obtained by mixing a pure state with global white noise of strength p, the conditional ergotropy reduces to a generalized Rayleigh quotient. For 0 <1, whereas the three qu
arXiv - AI / ML / NLP
Interval predictions from conformal prediction are usually read as "90% coverage", but on nested battery data that number promises the fleet average, not the individual cell. We measure the gap on 124 public LFP cells under a preregistered three-tier reporting protocol (fleet, batch, cell): pooled coverage looks healthy (0.875-0.906 across splits) while the worst cell is covered 0.1-2% of the time
arXiv - AI / ML / NLP
Accurately predicting the transport properties of liquid electrolytes is critical for next-generation battery design and requires force fields that are both quantum-mechanically accurate and fast enough for long-timescale simulation. Recent large-scale pretrained machine learning interatomic potentials (MLIPs) approach density-functional-theory accuracy, but remain too slow to access the necessary
Harnessing Non-Markovian Memory for Quantum-Battery Capacity (opens in a new tab)
arXiv - Quantum physics
Non-Markovianity is commonly characterized through information-theoretic signatures of memory. Here we take a thermodynamic perspective and ask whether such memory can be operationally harnessed to enhance quantum-battery capacity. Within the process-tensor framework, we compare memoryless and memory-enhanced strategies and define their performance gap as the memory-assisted capacity advantage of
arXiv - Atmospheric physics + Materials
In this work, we use spin-polarized density functional theory (DFT) to identify substantial third-order, nonadditive configurational energy contributions in lithium-rich oxyfluorides that quadratic unconstrained binary optimization (QUBO) models cannot represent. We test the extension from QUBO to higher-order unconstrained binary optimization (HUBO) in two disordered-rocksalt cathode materials, L
arXiv - AI / ML / NLP
Transition-metal-based batteries rely on critical elements such as lithium, cobalt, and nickel. Their extraction creates environmental and supply-chain challenges. Organic electrode materials (OEMs) reduce this reliance and provide broad molecular tunability. However, OEM-based batteries still show limited long-term cycling stability. Their design also requires the joint optimization of coupled me
arXiv - Quantitative finance + Economics
How should a dependent economy respond when a polycrisis turns economic integration from a source of efficiency into a surface of vulnerability? This paper develops the exposure-capability framework, which maps a country's strategic options along two dimensions - the concentration of its external dependence and the depth of its productive capability - and yields four ideal strategies. It applies t
arXiv - Quantitative finance + Economics
Battery swapping replaces a depleted EV battery with a charged one, reducing waiting time and enabling off-peak charging. Evidence on acceptance, however, remains concentrated in Asian markets, and most studies examine individual adoption intentions. This study asks whether current UK EV users judge swapping differently as a purchase option and as a technology for the transport system. Using Behav
arXiv - Atmospheric physics + Materials
arXiv:2610.34505v1 Announce Type: new Abstract: Amorphous solid-state electrolytes (SSEs) are attractive candidates for safe, high-energy-density all-solid-state batteries. The recent discovery that amorphous LiTaCl$_6$ and LiNbCl$_6$ reach room-temperature ionic conductivities above 10 mS cm$^{-1}$ with activation energies below 0.2 eV has spurred a broad search for new amorphous halide Li conduc
arXiv - AI / ML / NLP
arXiv:2610.33654v1 Announce Type: new Abstract: High penetrations of distributed energy resources (DERs) and fast-varying electric vehicle (EV) charging intensify voltage and line-limit violations in distribution networks (DNs), making safe, low-cost operation increasingly challenging. This paper proposes a physics-informed safe deep reinforcement learning (DRL) framework for coordinating communit
arXiv - AI / ML / NLP
arXiv:2610.34614v1 Announce Type: new Abstract: We release a battery of 28 propensities for AI research, with expert-written rubrics, synthetic datasets, and annotated demand intervals, built with the method of Romero-Alvarado et al. (2026). We selected a wide collection of generic propensities that may influence the behavior of AI systems and humans. They are inspired by psychometric, psychologic
Dephasing-powered open quantum-dot battery (opens in a new tab)
arXiv - Quantum physics
arXiv:2610.33408v1 Announce Type: cross Abstract: We propose a simple realization of an open quantum battery powered by local dephasing. The setup consists of a triple-quantum-dot chain coupled at one end to a thermal reservoir, with the dot at the opposite end strongly detuned to form a high-energy storage element. Local dephasing populates this highly excited state and autonomously drives the sy
arXiv - Atmospheric physics + Materials
arXiv:2608.04690v2 Announce Type: replace Abstract: Lithium lanthanum zirconate (LLZO) garnets are among the most promising solid electrolytes for next-generation batteries owing to their high ionic conductivity, chemical stability, and compatibility with lithium metal. Raman spectroscopy is commonly employed to distinguish the highly conductive cubic phase from the poorly conductive tetragonal ph
arXiv - AI / ML / NLP
arXiv:2610.34159v1 Announce Type: new Abstract: Lithium-ion batteries are widely used in industrial applications, but their performance gradually degrades over time, making accurate lifetime prediction important for safety and reliability. However, reliable lifetime assessment generally requires extensive degradation testing, which is both costly and time-consuming. To reduce this burden, recent d
arXiv - Quantum physics
arXiv:2610.35734v1 Announce Type: new Abstract: Quantum batteries are quantum systems that potentially serve as fuel for other quantum devices by receiving and supplying energy. In this work, we propose a theoretical scheme to enhance ergotropy and charging power of quantum Battery in the system under consideration through squeezed light. Moreover, The system comprises a coherently driven charger
arXiv - Quantum physicsalso Quantum computing
arXiv:2606.28082v2 Announce Type: replace-cross Abstract: We investigate extractable work storage in a capacitively coupled double quantum dot (DQD) quantum battery (QB) subjected to experimentally motivated detuning charge noise. The battery is modeled as two interacting charge qubits with an Ising-type capacitive coupling and is charged by resonant microwave modulation of the tunnel coupling cha
arXiv - Quantum physics
Protecting quantum batteries from environmental noise remains a challenge. Using exact Burshtein-Kubo equations, we study a two-spin quantum battery with Dzyaloshinskii-Moriya (DM) coupling under indepen dent local longitudinal random telegraph noise (RTN). At a fixed effective noise scale, the DM-assisted slow switching protocol yields a superadditive transient ergotropy gain and near-maximal erg
arXiv - Quantum physicsalso Quantum computing
We investigate a finite-time quantum-battery charging architecture in which a driven two-level working system transfers nonequilibrium resources to an interacting two-qubit battery through a weakly anharmonic three-level mediator. Finite-time driving generates coherence and ergotropy, while excitation-number conservation organizes the transfer into distinct dynamical sectors. The mediator then pro
arXiv - Quantitative finance + Economics
Existing studies consistently find that home batteries optimized against real-time electricity prices create new load peaks in local distribution grids. This is because all assets respond to the same price signal in sync. However, most of these studies are simulations, and they all treat wholesale prices as exogenous, i.e., unaffected by the battery dispatch. This paper argues that assuming prices
Beyond Embedding Transfer: Component Roles in Grokking Transfer and Stability (opens in a new tab)
arXiv - AI / ML / NLP
Warm-start transfer accelerates delayed generalization (grokking) on algorithmic tasks, yet which architectural components drive this acceleration and whether transferred circuits remain stable under continued optimization remain unclear. Across a scale-matched 108-run factorial battery ($N=12$ paired seeds), transferring internal attention/MLP matrices ($B$) alongside representations ($E+U$) lift
Quantum Batteries in two-dimensional material-based Josephson Junctions (opens in a new tab)
arXiv - Quantum physics
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 both single-photon and tw
Hybrid Qubit-Qutrit Quantum Battery: Nonclassicality and Energy Performance (opens in a new tab)
arXiv - Quantum physicsalso Quantum computing
We propose and analyze a hybrid qubit-qutrit quantum battery (QB) based on a mixed spin-1/2 and spin-1 system interacting via an anisotropic Heisenberg exchange coupling in the presence of a homogeneous magnetic field. The nonclassical properties of the system are characterized using the l1-norm of coherence and negativity, which quantify quantum coherence and entanglement, respectively. The perfo
arXiv - AI / ML / NLP
This work presents a systematic review of the application of natural language processing (NLP) along the entire battery life cycle, instead of the review of one stage or method, and introduces a novel conceptual technical language processing (TLP) framework for the European Union (EU)'s proposed digital battery passport (DBP) and other general battery predictions, as the main objective. It follows