Universal Bound on Effective Central Charge and Its Saturation

Kavli Affiliate: Hirosi Ooguri | First 5 Authors: Andreas Karch, Yuya Kusuki, Hirosi Ooguri, Hao-Yu Sun, Mianqi Wang | Summary: The effective central charge (denoted by $c_{text{eff}}$) is a measure of entanglement through a conformal interface, while the transmission coefficient (encoded in the coefficient $c_{LR}$ of the two-point function of the energy-momentum tensor across the […]


Continue.. Universal Bound on Effective Central Charge and Its Saturation

Universal Bound on Effective Central Charge and Its Saturation

Kavli Affiliate: Hirosi Ooguri | First 5 Authors: Andreas Karch, Yuya Kusuki, Hirosi Ooguri, Hao-Yu Sun, Mianqi Wang | Summary: The effective central charge (denoted by $c_{text{eff}}$) is a measure of entanglement through a conformal interface, while the transmission coefficient (encoded in the coefficient $c_{LR}$ of the two-point function of the energy-momentum tensor across the […]


Continue.. Universal Bound on Effective Central Charge and Its Saturation

An efficient quantum algorithm for generation of ab initio n-th order susceptibilities for non-linear spectroscopies

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Tyler Kharazi, Torin F. Stetina, Liwen Ko, Guang Hao Low, K. Birgitta Whaley | Summary: We develop and analyze a fault-tolerant quantum algorithm for computing $n$-th order response properties necessary for analysis of non-linear spectroscopies of molecular and condensed phase systems. We use a semi-classical description in […]


Continue.. An efficient quantum algorithm for generation of ab initio n-th order susceptibilities for non-linear spectroscopies

Convergence Guarantees for RMSProp and Adam in Generalized-smooth Non-convex Optimization with Affine Noise Variance

Kavli Affiliate: Yi Zhou | First 5 Authors: Qi Zhang, Yi Zhou, Shaofeng Zou, , | Summary: This paper provides the first tight convergence analyses for RMSProp and Adam in non-convex optimization under the most relaxed assumptions of coordinate-wise generalized smoothness and affine noise variance. We first analyze RMSProp, which is a special case of […]


Continue.. Convergence Guarantees for RMSProp and Adam in Generalized-smooth Non-convex Optimization with Affine Noise Variance

Convergence Acceleration of Favre-Averaged Non-Linear Harmonic Method

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Kurt Webber, David Radford, Luca di Mare, Marcus Meyer | Summary: This paper develops a numerical procedure to accelerate the convergence of the Favre-averaged Non-Linear Harmonic (FNLH) method. The scheme provides a unified mathematical framework for solving the sparse linear systems formed by the mean […]


Continue.. Convergence Acceleration of Favre-Averaged Non-Linear Harmonic Method

Convergence Acceleration of Favre-Averaged Non-Linear Harmonic Method

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Kurt Webber, David Radford, Luca di Mare, Marcus Meyer | Summary: This paper develops a numerical procedure to accelerate the convergence of the Favre-averaged Non-Linear Harmonic (FNLH) method. The scheme provides a unified mathematical framework for solving the sparse linear systems formed by the mean […]


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Constraints on Dark Matter from Dynamical Heating of Stars in Ultrafaint Dwarfs. Part 2: Substructure and the Primordial Power Spectrum

Kavli Affiliate: Peter W. Graham | First 5 Authors: Peter W. Graham, Harikrishnan Ramani, , , | Summary: There is a large and growing interest in observations of small-scale structure in dark matter. We propose a new way to probe dark matter structures in the $sim 10 – 10^8 , M_odot$ range. This allows us […]


Continue.. Constraints on Dark Matter from Dynamical Heating of Stars in Ultrafaint Dwarfs. Part 2: Substructure and the Primordial Power Spectrum

Constraints on Dark Matter from Dynamical Heating of Stars in Ultrafaint Dwarfs. Part 2: Substructure and the Primordial Power Spectrum

Kavli Affiliate: Peter W. Graham | First 5 Authors: Peter W. Graham, Harikrishnan Ramani, , , | Summary: There is a large and growing interest in observations of small-scale structure in dark matter. We propose a new way to probe dark matter structures in the $sim 10 – 10^8 , M_odot$ range. This allows us […]


Continue.. Constraints on Dark Matter from Dynamical Heating of Stars in Ultrafaint Dwarfs. Part 2: Substructure and the Primordial Power Spectrum

Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization

Kavli Affiliate: Yi Zhou | First 5 Authors: Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou | Summary: Distributionally robust optimization (DRO) is a powerful framework for training robust models against data distribution shifts. This paper focuses on constrained DRO, which has an explicit characterization of the robustness level. Existing studies on constrained […]


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Repeating Nuclear Transients as Candidate Electromagnetic Counterparts of LISA Extreme Mass Ratio Inspirals

Kavli Affiliate: Dheeraj R. Pasham | First 5 Authors: Shubham Kejriwal, Vojtech Witzany, Michal Zajacek, Dheeraj R. Pasham, Alvin J. K. Chua | Summary: Extreme-mass-ratio inspirals (EMRIs) are one of the primary targets for the recently adopted millihertz gravitational-wave (GW) observatory LISA. Some previous studies have argued that a fraction of all EMRIs form in […]


Continue.. Repeating Nuclear Transients as Candidate Electromagnetic Counterparts of LISA Extreme Mass Ratio Inspirals