CRiSP uses neural-guided MCTS and curriculum learning to insert Clifford prefixes before parameterized rotations in VQAs, yielding mean 3.17x and max 45x gains in energy accuracy on 22-qubit QAOA benchmarks versus prior Clifford initializers.
Implementing the nelder-mead simplex algorithm with adaptive parameters.Comput
9 Pith papers cite this work, alongside 1,098 external citations. Polarity classification is still indexing.
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A new three-point inverse solution using the α-β model reconstructs meteoroid masses and bulk densities from limited fireball observations, achieving 88% convergence on the EN catalog and producing a continuous density range of 300-4000 kg m^{-3} instead of discrete PE categories.
JWST imaging reveals a z=0.92 disk galaxy with an X-shaped bulge, nuclear stellar disk, and extended disk whose bar geometry matches present-day systems, showing bar-driven secular evolution largely complete 7.6 Gyr ago.
First multiband P-L relations for Cepheids in S-PLUS system with reddening maps of the Magellanic Clouds from single-epoch photometry.
Neural mean-field games integrate mean-field game theory with neural SDEs to learn strategic interactions from data in a model-free way, demonstrated on games and viral dynamics.
The paper presents MaRDI Open Interfaces, a package providing unified interfaces and automated language interoperability for nonlinear optimization.
A new optimization-based calibration method allows accurate spatially varying power-law attenuation modeling in ultrasound wave simulations with mean errors below 3%.
ECA-NM optimizes CDM reaction/diffusion parameters so hydrogen flame and detonation properties match detailed chemistry and FA/DDT experiments, with far lower error and cost than a genetic algorithm.
MaRDI Open Interfaces supplies common interfaces for nonlinear optimization solvers, shown via an application to physics-informed neural network training on the viscous Burgers' equation.
citing papers explorer
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Classical State Preparation for Variational Quantum Algorithms via Reinforcement Learning
CRiSP uses neural-guided MCTS and curriculum learning to insert Clifford prefixes before parameterized rotations in VQAs, yielding mean 3.17x and max 45x gains in energy accuracy on 22-qubit QAOA benchmarks versus prior Clifford initializers.
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Consistency between dynamical modeling and photometrically derived masses of fireballs
A new three-point inverse solution using the α-β model reconstructs meteoroid masses and bulk densities from limited fireball observations, achieving 88% convergence on the EN catalog and producing a continuous density range of 300-4000 kg m^{-3} instead of discrete PE categories.
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Bar-driven secular evolution largely complete in a disk galaxy 7.6 billion years ago
JWST imaging reveals a z=0.92 disk galaxy with an X-shaped bulge, nuclear stellar disk, and extended disk whose bar geometry matches present-day systems, showing bar-driven secular evolution largely complete 7.6 Gyr ago.
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Variables in S-PLUS: I. Multiband period-luminosity relations and reddening maps of the Magellanic Clouds using classical Cepheids
First multiband P-L relations for Cepheids in S-PLUS system with reddening maps of the Magellanic Clouds from single-epoch photometry.
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Neural Mean-Field Games: Extending Mean-Field Game Theory with Neural Stochastic Differential Equations
Neural mean-field games integrate mean-field game theory with neural SDEs to learn strategic interactions from data in a model-free way, demonstrated on games and viral dynamics.
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MaRDI Open Interfaces for Interoperable Nonlinear Optimization
The paper presents MaRDI Open Interfaces, a package providing unified interfaces and automated language interoperability for nonlinear optimization.
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Spatially heterogeneous power-law attenuation with multiple relaxation mechanisms for ultrasound modeling
A new optimization-based calibration method allows accurate spatially varying power-law attenuation modeling in ultrasound wave simulations with mean errors below 3%.
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An efficient method based on the evolutionary center algorithm for optimizing chemical-diffusive models for flame acceleration and DDT
ECA-NM optimizes CDM reaction/diffusion parameters so hydrogen flame and detonation properties match detailed chemistry and FA/DDT experiments, with far lower error and cost than a genetic algorithm.
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Software package MaRDI Open Interfaces for improved interoperability in numerical optimization
MaRDI Open Interfaces supplies common interfaces for nonlinear optimization solvers, shown via an application to physics-informed neural network training on the viscous Burgers' equation.