Update files at 2023-09-20 10:18:06

research.html

@@ -236,6 +236,8 @@ <h3>Machine Learning Research</h3>
             <ol>
                 <li>Studied the effects of noise on the performance of reservoir computing, a non-linear recurrent neural network. Presented findings on how noise influences the capacity of the system to learn a function. <a href="http://arxiv.org/abs/2302.10862v1" target="_blank">Find Details Here.</a></li>
                 <li>Explored the possibility of utilising a quantum circuit as a kernel in quantum machine learning. This probe into the dynamics of n qubits offers a non-linear mapping for better understanding quantum machine learning. <a href="http://arxiv.org/abs/1806.08321v2" target="_blank">Find Details Here.</a></li>
+                <li>Worked on optimizing a parameterized quantum circuit using a classical computer in the context of quantum machine learning. Devised strategies to make optimal use of the available sample space. <a href="http://arxiv.org/abs/2205.06845v5" target="_blank">Find Details Here.</a></li>
+                <li>Demonstrated that physical, noisy analog reservoir computers have limited capabilities in computing deterministic functions, but indicated these can learn functions with outputs as random variables. <a href="http://arxiv.org/abs/2307.14474v1" target="_blank">Find Details Here.</a></li>
             </ol>
         </div>
     </div>
@@ -246,7 +248,6 @@ <h3>Machine Learning Research</h3>
             <h3>Asymptotic Characterization</h3>
             <ol>
                 <li>Delineates a "no free lunch" theorem for sensor performance across various frequencies, with the help of entanglement. <a href="http://arxiv.org/abs/2203.05520v2" target="_blank">Find Details Here.</a></li>
-                <li>Demonstrated that physical, noisy analog reservoir computers have limited capabilities in computing deterministic functions, but indicated these can learn functions with outputs as random variables. <a href="http://arxiv.org/abs/2307.14474v1" target="_blank">Find Details Here.</a></li>
             </ol>
         </div>
     </div>
@@ -258,7 +259,6 @@ <h3>Control, Numerical Methods and Optimization</h3>
             <ol>
               <li>Explored using convex optimization to design controls for a quantum computer with randomized errors, shifting from systematic errors. Demonstrated possibilities of using the objective function towards favoring sparsity and error maps conducive to Monte Carlo simulation. <a href="http://arxiv.org/abs/2001.02779v2" target="_blank">Find Details Here.</a></li>
               <li>Analyzed the feasibility of deformable mirrors in addressing single ions using analytical models and numerical solvers. This adds to the understanding of quantum computers' scaling problem. <a href="http://arxiv.org/abs/2203.05196v2" target="_blank">Find Details Here.</a></li>
-              <li>Worked on optimizing a parameterized quantum circuit using a classical computer in the context of quantum machine learning. Devised strategies to make optimal use of the available sample space. <a href="http://arxiv.org/abs/2205.06845v5" target="_blank">Find Details Here.</a></li>
             </ol>
         </div>
     </div>