Skip to content
Silico Studio

Ideas at a glance

  • Portfolio
  • About
  • Blog
  • Contact
Search

Does the future influence the past?

Public engagement, Quantum mechanics / By David Abbasi

Do we have free will? What is time? Can we travel backwards in time? What experiments can tell us about all these questions?

I've recently came across an old experiment known as the delayed-choice quantum eraser, which left me with goosebumps. At first I tought as if time do not exist. While trying to wrap my mind about this, I decided to make the most of this new tool that generates a podcast digesting complex concepts for you in a really engaging way. Here's is the audio generated from two references: the Stanford Encyclopedia of Philosophy and, of course, the Wikipedia.

I hope it serves as a good introduction for you to keep thinking about head-scractcher concepts and the very deep structure of reality.

Listen to the podcast: Does the future influence the past?

← Previous Post
Next Post →

Archives

  • October 2024
  • September 2023
  • March 2023
  • December 2022
  • November 2022
  • August 2022

Categories

  • Artifical Inteligence
  • Carbon nanotubes
  • Computational Chemistry
  • Discovery
  • High Pressure
  • Machine Learning
  • Molecular Machines
  • Neural Networks
  • Open Source
  • Outreach
  • Public engagement
  • Quantum mechanics
  • Software
  • Superconductivity
  • Tools
  • Tutorials
  • Workflow

Recent Posts

  • Máquinas Moleculares – El arte de construir en pequeño
  • Does the future influence the past?
  • Entra en la química computacional por la puerta NANO
  • How Diamonds Unveiled a Room Temperature Superconductor
  • Exploring the Nanoscale: Simulating Carbon Nanotubes Filled with Small Molecules

Recent Comments

    admin Artificial Inteligence Atomistic Simulation Computational Chemistry conda Density Functional Theory Diamond Anvil Cell Experimental Physics Free will High Pressure IDE jupyter JupyterLab Life Linux Machine Learning Materials Science Molecular Dynamics Molecular Machines Neural Networks Open Source Public Engagement Pyiron Python Quantum Chemistry Quantum mechanics Reality Research Room Temperature Science Software ssh Superconductivity Tutorials Workflow

    This webpage has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie grant agreement Nº 847635

    • email: hellosilicostudio@gmail.com 
    • Copyright © 2023 Silico Studio