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

Posted by dbos Berkeley

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

Posted by dbos UCAS

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

Posted by dbos Berkeley

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

Posted by dbos Berkeley

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

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

Posted by dbos Stanford

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

Posted by dbos Stanford

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

Posted by dbos UCAS

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

Posted by dbos MIT

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

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

Posted by dbos MIT

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

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

Posted by dbos MIT

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