Photo-assisted shot noise can detect different tunneling charges in the ν=2/3 fractional quantum Hall state even when one tunneling amplitude is much smaller than the other.
Mixed citations
Accurate structure prediction of biomolecular interactions with AlphaFold 3
Mixed citation behavior. Most common role is background (60%).
citation-role summary
citation-polarity summary
representative citing papers
FTPrimitiveBench is a new benchmark suite for testing surface-code logical primitives under Pauli-biased, measurement-biased, and spatially non-uniform noise models, revealing that noise structure interacts distinctly with each primitive and decoder.
Entanglement in ttbar production at lepton colliders is typically reduced by scalar mediators but shows sizable deviations in U(1)B-L and Randall-Sundrum models, positioning quantum-information observables as probes for new neutral interactions.
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.
Most institutions should start with the smallest quantum capability layer that delivers repeatable near-term value and builds expertise rather than acquiring large on-premises systems.
Thesis uses statistical mechanics to study DAM and RBM models for understanding memorization, low-dimensional learning, and adversarial robustness in neural networks.
Spectral butterflies form in parameter-dependent Schrödinger operators on weighted Delone sets and reflect fractal self-similar structures, with the framework extending across dimensions and to non-Abelian groups.
A synthesis of expert insights from the ADAC Quantum Computing Working Group and member survey on the complementary roles of quantum and classical high-performance computing in future hybrid infrastructures.
citing papers explorer
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FTPrimitiveBench: A Benchmark Suite For Logical Computation Under Hardware-Motivated and Biased Noise Models
FTPrimitiveBench is a new benchmark suite for testing surface-code logical primitives under Pauli-biased, measurement-biased, and spatially non-uniform noise models, revealing that noise structure interacts distinctly with each primitive and decoder.
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Disentangling new physics with quantum entanglement in $t\bar{t}$ production at future lepton colliders
Entanglement in ttbar production at lepton colliders is typically reduced by scalar mediators but shows sizable deviations in U(1)B-L and Randall-Sundrum models, positioning quantum-information observables as probes for new neutral interactions.
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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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What quantum computer to buy?
Most institutions should start with the smallest quantum capability layer that delivers repeatable near-term value and builds expertise rather than acquiring large on-premises systems.
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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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The butterflies' effects
Spectral butterflies form in parameter-dependent Schrödinger operators on weighted Delone sets and reflect fractal self-similar structures, with the framework extending across dimensions and to non-Abelian groups.
- AI Slop and the Software Commons
- A PMP-inspired Evaluation Framework for Assessing Deep-Learning Earth System Models