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.
hub
Machine behaviour
25 Pith papers cite this work. Polarity classification is still indexing.
25
Pith papers citing it
hub tools
citation-role summary
background 4
citation-polarity summary
fields
quant-ph 8 cs.LG 4 astro-ph.EP 2 cs.AI 2 cs.AR 1 cs.CR 1 hep-ph 1 physics.app-ph 1 physics.atom-ph 1 physics.comp-ph 1years
2026 25roles
background 4polarities
background 4representative citing papers
FeynmanBench is the first benchmark for evaluating multimodal LLMs on diagrammatic reasoning with Feynman diagrams, revealing systematic failures in enforcing physical constraints and global topology.
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.
SpinTune applies reinforcement learning to discover adaptive dynamical decoupling sequences that outperform standard methods at preserving coherence in simulated Carbon-13 spin bath environments.
Spectral partitioning on pairwise mutual-information graphs from agent hidden states detects representational coalitions that behavioral measures miss in multi-agent AI.
Lottery BP adds randomness to belief propagation decoding and uses syndrome voting to achieve far higher accuracy on topological quantum codes while reducing reliance on expensive global decoders.
Astrocytic gains in a Hopfield network evolve under replicator dynamics to produce emergent self-attention as softmax routing on the gain simplex at fixed points.
A hybrid optimization strategy using classical pre-compilation, iterative extrapolation, and noise-aware quantum refinement achieves orders-of-magnitude gains in fidelity for state preparation in analog simulators with programmable long-range interactions.
Thin-film lithium niobate modulators implement electro-optic Softmax and Sigmoid alternatives for transformers that maintain competitive accuracy under 4-bit quantization and characterized noise up to 10 GBaud.
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.
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.
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.
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.
A framework with operational criteria and a trapped-atom hardware proposal for achieving statistically significant quantum advantage in latency-constrained nonlocal games.
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.
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.
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.
citing papers explorer
-
Logical Compilation for Multi-Qubit Iceberg Patches
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.
-
FeynmanBench: Benchmarking Multimodal LLMs on Diagrammatic Physics Reasoning
FeynmanBench is the first benchmark for evaluating multimodal LLMs on diagrammatic reasoning with Feynman diagrams, revealing systematic failures in enforcing physical constraints and global topology.
-
Non-Markovian Electroweak Baryogenesis: Memory Effects on CP-Violating Transport and Gravitational Waves
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: 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.
-
Generative diffusion models for spatiotemporal influenza forecasting
Influpaint uses generative diffusion models on image-encoded influenza data to produce realistic and diverse epidemic trajectories that match leading ensemble methods in accuracy.
-
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.
-
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.
-
Scouting By Reward: VLM-TO-IRL-Driven Player Selection For Esports
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.
-
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.
-
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.
-
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.
-
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.
-
Lottery BP: Unlocking Quantum Error Decoding at Scale
Lottery BP adds randomness to belief propagation decoding and uses syndrome voting to achieve far higher accuracy on topological quantum codes while reducing reliance on expensive global decoders.
-
Emergent Self-Attention from Astrocyte-Gated Associative Memory Dynamics
Astrocytic gains in a Hopfield network evolve under replicator dynamics to produce emergent self-attention as softmax routing on the gain simplex at fixed points.
-
Programming long-range interactions in analog quantum simulators
A hybrid optimization strategy using classical pre-compilation, iterative extrapolation, and noise-aware quantum refinement achieves orders-of-magnitude gains in fidelity for state preparation in analog simulators with programmable long-range interactions.
-
Integrated electro-optic attention nonlinearities for transformers
Thin-film lithium niobate modulators implement electro-optic Softmax and Sigmoid alternatives for transformers that maintain competitive accuracy under 4-bit quantization and characterized noise up to 10 GBaud.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.