We employ an iterative algorithm to retrieve the parameters of interest. As in Goodman (2004), Lee's original model is enhanced by adding a linear mixing model for approximating bottom composition, which is used
Finding the ground state of a quantum many-body system is a fundamental problem in quantum physics. In this work, we give a classical machine learning (ML) algorithm for predicting ground state properties with an inductive bias encoding geometric locality. The proposed ML model can efficiently pre...
However, accurately representing the Fermi-Hubbard ground state for large instances may be beyond the reach of near-term quantum hardware. Here we show experimentally that an efficient, low-depth variational quantum algorithm with few parameters can reproduce important qualitative features of medium-size...
In contrast, we treat this problem as a nonlinear system of two variables and provide some solution properties (e.g. existence, uniqueness) of the system. We also develop an iterative algorithm and a simulation based algorithm for this problem....
Validating the certificate chain of the server[google.com:443] with authentication type RSA, while also using the SSLEngine. See below for the full chain of the server: [[ [ Version: V3 Subject: CN=*.google.com, O=Google LLC, L=Mountain View, ST=California, C=US Signature Algorithm: ...
public ApplicationGatewayLoadDistributionAlgorithm loadDistributionAlgorithm() Get the loadDistributionAlgorithm property: Load Distribution Targets resource of an application gateway. Returns: the loadDistributionAlgorithm value.loadDistributionTargets public List loadDistri...
The effectiveness of the velocity model improved when Vp was modeled as a function of these investigated parameters collectively rather than in isolation. Thus, an integrated study such as multi-regression analysis would help to present a more realistic picture that affect the relations between ...
We present an object-oriented Python library for the computation of properties of highly-excited Rydberg states of alkali atoms. These include single-body effects such as dipole matrix elements, excited-state lifetimes (radiative and black-body limited) and Stark maps of atoms in external electric ...
= null) { Dictionary<XName, object> propertyBag = new Dictionary<XName, object>(); bool isCompressed = (encodingOption == 1); using (MemoryStream memoryStream = new MemoryStream(serializedDataProperties)) { // if the instance state is compressed using GZip algorithm if (isCompressed) { /...
Solving a jigsaw puzzle on the same molecular images can help the model pay attention to the more global structural information and learn the concepts of spatial rationality to improve the generalization of the pretraining model. In this task, by using the maximal Hamming distance algorithm in ...