changed bullet lists and homepage

Author: DrWatt

index.html

@@ -25,18 +25,20 @@
     <main>
         <section id="home">
             <h2>Welcome to Our Website</h2>
-            <p>This is the introductory section of your website.</p>
+            <p>Quantum4HEP is a small group of researchers dedicated to develop quantum algorithms for the High Energy Physics (HEP) field of study. It started with the collaboration of three PhD students at the University of Bologna, two in physics and one in data science and computation specialized in quantum computing, as a way to bridge the gap between the theoretical advantages of this new technology and their practical applications.</p>
         </section>
 
-        <section id="about">
-            <h2>About Us</h2>
-            <p>Write about your company, team, or mission here.</p>
+        <section id="conf">
+            <h2>Conferences and Pubblications</h2>
+            <ul>
+                <li>Parallel talk @ 22nd International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT2024): <br><a href="https://indico.cern.ch/event/1330797/contributions/5796497">QUnfold: Quantum Annealing for Distributions Unfolding in High-Energy Physics </a></li>
+            </ul>
         </section>
-
+<!--
         <section id="services">
             <h2>Our Services</h2>
             <p>Describe the services or products you offer here.</p>
-        </section>
+        </section>-->
     </main>
 
     <!-- Footer Section -->

projects.html

@@ -38,8 +38,10 @@ <h2>Quantum Error Mitigation with Autoencoders - <a href="https://github.com/Qua
 
         <section id="thesis">
             <h2>Thesis supervised</h2>
-                - QUnfold a quantum annealing-based unfolding tool for HEP: a case study on entangled tt¯ pair production at the ATLAS experiment <a href="https://amslaurea.unibo.it/32515"><b>PDF</b></a><br>
-                - Machine learning for quantum error mitigation on NISQ devices <a href="https://amslaurea.unibo.it/32365"><b>PDF</b></a>
+            <ul>
+                <li>QUnfold a quantum annealing-based unfolding tool for HEP: a case study on entangled tt¯ pair production at the ATLAS experiment <a href="https://amslaurea.unibo.it/32515"><b>PDF</b></a></li>
+                <li>Machine learning for quantum error mitigation on NISQ devices <a href="https://amslaurea.unibo.it/32365"><b>PDF</b></a></li>
+            </ul>
 
         </section>
 

styles.css

@@ -23,7 +23,7 @@ header {
     text-align: center;
     justify-content: space-between;
     align-items: center;
-    transition: padding 0.8s ease, font-size 0.8s ease;
+    transition: padding 0.3s ease, font-size 0.3s ease;
     z-index: 1000;
 
 
@@ -36,7 +36,7 @@ header {
     text-align: center;
     justify-content: space-between;
     align-items: center;
-    transition: padding 0.8s ease, font-size 0.8s ease;
+    transition: padding 0.3s ease, font-size 0.3s ease;
     z-index: 56;
     padding: 10px 10px;
 }