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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NLEFT calculation of 5S2 dd scattering produces scattering length 12.96 fm and effective range 3.62 fm, indicating stronger repulsion than prior work.
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.
Across 19 multimodal LLMs, local Feynman-diagram recognition stays high while topological reconstruction and full amplitude derivation collapse.
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.
A gossip-native DAG consensus layer for decentralized federated learning certifies model-origin provenance via Hashgraph-style virtual voting, achieving learning quality comparable to blockchain-assisted FL with lower coordination overhead.
A survey of 1,250 papers organizes AI self-improvement along two axes—what is improved and loop closure—finding that demonstrated self-improvement strength tracks a verification hierarchy from formal verifiers down to intrinsic self-assessment.
MD simulations of 0.1–1 keV radiation cascades in bulk fullerite reveal a unique thermalization phase lasting hundreds of picoseconds, cross-linking of C60 molecules, and a threshold displacement energy of 18 eV.
Local 2- and 3-cycles enhance RNN computational capacity for Boolean functions, predicted by structural statistics, while adding interneurons boosts large networks.
citing papers explorer
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VOW: Verifiable and Oblivious Watermark Detection for Large Language Models
VOW formulates LLM watermark detection as a secure two-party computation using a Verifiable Oblivious Pseudorandom Function to achieve private and cryptographically verifiable detection.
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Fine-Tuning Small Reasoning Models for Quantum Field Theory
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.
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Machine learning isotope shifts in molecular energy levels
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.
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Continuous-variable two-dimensional cluster states in the microwave domain
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.
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Continuous thermochemical sources of AlF molecules
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.
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FeynmanBench: Benchmarking Multimodal LLMs on Diagrammatic Physics Reasoning
Across 19 multimodal LLMs, local Feynman-diagram recognition stays high while topological reconstruction and full amplitude derivation collapse.
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Wilson-Loop-Ideal Bands and General Idealization
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.
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SpinTune: Improving the Reliability of Quantum Sensor Networks for Practical Quantum-Classical Utility
SpinTune applies reinforcement learning to discover adaptive dynamical decoupling sequences that outperform standard methods at preserving coherence in simulated Carbon-13 spin bath environments.
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Hidden Coalitions in Multi-Agent AI: A Spectral Diagnostic from Internal Representations
Spectral partitioning on pairwise mutual-information graphs from agent hidden states detects representational coalitions that behavioral measures miss in multi-agent AI.
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Lottery BP: Unlocking Quantum Error Decoding at Scale
A randomized, locally-guided belief-propagation decoder breaks degeneracy deadlocks in quantum error correction, reducing logical error rate and expensive global-decoder invocations by orders of magnitude.
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A scalable infrastructure for strontium optical clocks with integrated photonics
Demonstrates magneto-optical traps for all stable strontium isotopes using co-designed atomic beam slowing, PIC-met surface laser delivery, and integrated frequency-comb stabilization, advancing bulk-optics-free Sr optical clocks.
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Dispersion of collective modes in spinful fractional quantum Hall states on the sphere
CF exciton trial states accurately capture collective mode dispersions in spinful FQH states on the sphere at all wavelengths, while density-wave states miss high-energy parton modes in singlet cases at fillings like 2/5.
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Benchmarking open-source tools for in silico antiviral drug discovery
Boltz-2 and fine-tuned DrugFormDTA lead ML-based binding prediction while GNINA leads docking tools on a cleaned antiviral dataset, with performance varying by viral protein.
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Space-Time Tradeoffs of Pauli-Based Computation in Distributed qLDPC Architectures
Large qLDPC blocks in distributed quantum computing enable Pauli-based computation to run up to 10x faster than surface codes for optimization algorithms by using spare nodes to bypass serialization bottlenecks.
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Arqon: A suite of control applications enabling a reliable quantum network
Arqon delivers reliable quantum network service via admission control and scheduling that satisfies defined reliability requirements for accepted demands in static topologies, with O(k^3) and O(N^3) complexity.
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Operational criteria for quantum advantage in latency-constrained nonlocal games
A framework with operational criteria and a trapped-atom hardware proposal for achieving statistically significant quantum advantage in latency-constrained nonlocal games.
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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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Explaining Machine Learning and Memorization with Statistical Mechanics
Thesis uses statistical mechanics to study DAM and RBM models for understanding memorization, low-dimensional learning, and adversarial robustness in neural networks.
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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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Breaking Free from the Swampland of Impossible Universes through the DESI Portal
A review of string-inspired dynamical dark energy models claiming compatibility with DESI's hints of evolving dark energy under swampland constraints.
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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.