A new heuristic compiler for multi-qubit iceberg patches reduces circuit depth by 34 percent, cuts gate counts, and improves fidelity metrics on 71 benchmarks compared with naive mapping.
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Gupta, Neereja Sundaresan, Thomas Alexander, Christopher J
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In small-budget RCTs where significance tests decide scale-up, optimal pilot sampling shifts from representative to single homogeneous subpopulation as budget shrinks.
TianJi-Environ is a WRF-Chem-based multi-agent AI framework for autonomous validation of atmospheric chemistry mechanisms through executable experiments and evidence assessment.
DiffCodeGen clusters code candidates by behavioral similarity from fuzzing-synthesized inputs and selects the largest cluster's medoid, matching or exceeding prior test-time scaling methods with far less token and time cost.
Non-Markovian memory effects narrow the viable parameter space for electroweak baryogenesis, shift optimal wall velocities lower, produce non-monotonic baryon asymmetry dependence on memory timescale, and can enhance gravitational-wave signals.
VOW formulates LLM watermark detection as a secure two-party computation using a Verifiable Oblivious Pseudorandom Function to achieve private and cryptographically verifiable detection.
Influpaint uses generative diffusion models on image-encoded influenza data to produce realistic and diverse epidemic trajectories that match leading ensemble methods in accuracy.
Small 7B reasoning models were fine-tuned on synthetic and curated QFT problems using RL and SFT, yielding performance gains, error analysis, and public release of data and traces.
Neural network corrects residual errors in isotopologue energy extrapolations for CO2 (MAE reduction in >87% of levels vs Marvel) and transfers patterns to improve CO predictions in >93% of samples.
A multimodal VLM-TO-IRL framework with GAIL learns professional-specific reward functions from telemetry and tactical commentary to rank esports players by stylistic alignment.
Experimental realization of 2D CV cluster states with 191 modes and -1.2 dB nullifier squeezing in the microwave domain using multi-tone parametric amplification.
Continuous thermochemical sources produce bright AlF molecular beams that can be cooled to low rotational temperatures and velocities using buffer gas, potentially aiding molecular trapping.
Large-scale study of Copilot health queries finds substantial personal and caregiving intent, with time-of-day and device variations plus heavy focus on navigating existing healthcare systems.
Steep expulsive potentials in 1D and 2D Schrödinger equations support continuous spectra of normalizable bound states, including even/odd states in 1D and vortex states in 2D.
Introduces Wilson-loop-ideal bands saturating the quantum metric Wilson-loop bound and a general monotonic flow construction applied to moiré models to achieve low-error ideal states for correlated physics.
Sidewall poled TFLN waveguides achieve 4.2 mW UV output at 390 nm with record efficiency and low propagation loss.
GMP density-mode dispersion on the Haldane sphere accurately describes primary Jain states at long wavelength after deriving the sphere version of the LLL density-operator algebra.
A Feynman diagram framework is introduced to analytically compute finite-size and higher-ħ quantum corrections to phase shifts in matter wave interferometers for power-law and arbitrary potentials.
Local 2- and 3-cycles enhance RNN computational capacity for Boolean functions, predicted by structural statistics, while adding interneurons boosts large networks.
Proposes Shapiro steps in excitonic Josephson junctions as a probe of interlayer exciton superfluidity, predicting resolvable plateaus in graphene and TMD bilayers with nonmonotonic density dependence across the BCS-BEC crossover.
A PAI-tube injector delivers warm SF6 into a <3 K buffer gas cell with <200 mW heat load, enabling cold BaF production and planned use for RaF/RaOH.
Pulse-optimized implementations of single- and double-qubit excitations in VQE reduce runtimes by up to 15.3 times on silicon spin-qubit processors.
LLM agents run closed-loop design of photonic components and a full modulator by proposing, simulating, and refining against acceptance criteria.
Demonstration of 23.5 dB flat-top parametric gain spanning 100 THz and 313 mW on-chip power in PPLT integrated circuits for all-band amplification via cascaded second-order processes.
citing papers explorer
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Too Big, Too Small, Too $O_2$: The Pandoro Effect from Oxygen Gradients in Tomographic Volumetric Additive Manufacturing
The Pandoro effect is a truncated-cone distortion in tomographic volumetric additive manufacturing caused by vertical oxygen gradients from thermal hysteresis during resin preparation, mitigated by interface removal, atmosphere control, and a differentiable ray-optical photochemical model.
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Solving the Inverse Source Problem in Femtoscopy with a Toy Model
Tikhonov regularization reconstructs the input Gaussian source function from correlation functions generated by a square-well toy model in femtoscopy.
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Going off Pattern? QAOA Parameter Heuristics and Potentials of Parsimony
Numerical experiments on QAOA show optimal parameters often break expected patterns, performance becomes less parameter-sensitive with depth, and component-wise iterative fixing performs competitively or better at low depth.
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Low-Threshold Surface-Emitting Whispering-Gallery Mode Microlasers
Micropillars with low-absorption DBRs enable surface-emitting WGM lasing at 930-970 nm for 3-7 μm diameters, with single-mode operation at 130 K showing Q ≈ 8000 and ~240 μW threshold.
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Managing Classical Processing Requirements for Quantum Error Correction
A two-level decoder scheduling framework reduces classical processing requirements for quantum error correction by 10-40% on fault-tolerant benchmarks by managing bursty workloads as shared resources.
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Fabless Quantum Chip Design and Commercial Production
Proposes a fabless-foundry ecosystem for superconducting quantum chips built on certified PDKs, SPICE-Q multiphysics modeling, parameterized cells, Q-EDA automation, and a quantum-IP market.
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Spin-orbit correlation of quarks within quarkonium
Computes spin-orbit correlation distributions for charmonium and B_c mesons by linking parity-odd EMT matrix elements to light-front dynamics.
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Emergent Neutrino Texture Geometry from Dark Matter and Lepton Flavor Violation in the Scotogenic Model
Numerical scans in the minimal scotogenic model indicate that approximate neutrino texture structures emerge dynamically from dark matter and lepton flavor violation consistency conditions.
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High-Accuracy Numerical Solutions of Particle Motion in Static Magnetic Fields
The Parker-Sochacki method delivers 4 to 13 orders of magnitude better kinetic energy conservation than Runge-Kutta methods for charged particle motion in static magnetic fields while running faster at matched accuracy.
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AI-Assisted Scientific Assessment: A Case Study on Climate Change
Case study demonstrates that a Gemini AI integrated into a climate science workflow produced most of a 79-paper synthesis on AMOC stability in 46 person-hours, with experts retaining the majority of AI output while adding critical content and oversight.
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Thermal and Electrical Properties of (Cr,Mo,Ta,V,W)C High-Entropy Carbide Ceramics
Synthesis of (Cr,Mo,Ta,V,W)C high-entropy carbides yields thermal conductivity rising from 7 to 12 W/mK between room temperature and 200°C, electrical resistivity tunable by excess carbon from 137 to 120 μΩ·cm, and Vickers hardness of ~29 GPa.
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A machine-learning-assisted progressive digit-randomness screening framework for detecting non-random patterns in raw numerical research data
FDRS combines digit frequency tests, association metrics, entropy, KL divergence, and ML models to assign risk grades to numerical datasets, showing separation between normal and irregular simulated data with high AUC.
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Cuttlebot: a platform demonstration for complex, autonomous, bio-inspired swimmers
The Cuttlebot uses four artificial muscles for undulatory fin swimming and achieves 2.5 cm/s translation and 10 deg/s rotation under autonomous control from the CORE platform.
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A Specialized Importance-Aware Quantum Convolutional Neural Network with Ring-Topology (IA-QCNN) for MGMT Promoter Methylation Prediction in Glioblastoma
IA-QCNN applies quantum principles via ring-topology convolution and importance weighting to achieve claimed high-accuracy MGMT methylation prediction from MRI with fewer parameters and noise robustness than classical models.
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Symmetry-Resolved Second Harmonic Generation in Quantum and Functional Materials
The paper reviews applications of rotational anisotropy second harmonic generation to identify crystallographic, magnetic, and hidden order parameters across condensed matter systems.
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NCCR PlanetS: Observational and computational characterization of exoplanet atmospheres
The paper reviews physical processes, modeling techniques, retrieval methods, and observational strategies for characterizing exoplanet atmospheres, emphasizing Swiss research progress.
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Review of Superconducting Qubit Devices and Their Large-Scale Integration
A review summarizing superconducting qubit types, DiVincenzo criteria implementations, coherence limits from defects, and large-scale integration strategies for quantum computing.
- Function, Complexity and Thermodynamics in Adaptive and Intelligent Soft Matter Systems: An Information-Theoretical Formulation
- FeynmanBench: Benchmarking Multimodal LLMs on Diagrammatic Physics Reasoning