Quantum Simulation with Ultracold Atoms in Optical Lattices | Qiskit Quantum Seminar IMMANUEL BLOCH

Episode 148
40 years ago, Richard Feynman outlined his vision of a quantum computer for quantum simulations of complex calculations of physical problems. Today, his dream of analog and digital quantum simulations has become a reality and a highly active field of research across different platforms ranging from ultracold atoms and ions, to superconducting qubits and photons. In my talk, I will outline how ultracold atoms in optical lattices started this vibrant and interdisciplinary research field 20 years ago and now allow probing quantum phases in- and out-of-equilibrium with fundamentally new tools and single particle resolution and control. Novel (hidden) order parameters, entanglement properties, full counting statistics or topological features can now be measured routinely and provide deep new insight into the world of correlated quantum matter. I will introduce the measurement and control techniques in these systems and delineate recent applications regarding quantum simulations of strongly correlated electronic systems.
IMMANUEL BLOCH is scientific director at the Max Planck Institute of Quantum Optics in Garching and holds a chair for experimental physics at the Ludwig Maximilians University of Munich. His scientific work is among the most frequently cited in the field of quantum physics and has helped to open a new interdisciplinary research field at the interface of atomic physics, quantum optics, quantum information science and solid state physics. For his research, he has received numerous international awards, including the Körber European Science Prize, the Harvey Prize, the Zeiss Research Award and was named Clarivate Citation Laureate in 2022 for his pioneering work on quantum simulations.

[@manalbenrabhi665]

🎯 Key points for quick navigation:
00:00:00 *🚀 Introduction to 3D Python Setup*
- Overview of the tutorial's goals and the stages to set up a 3D Python environment.
- Aim is to transform your setup capability from basic to ready for 3D development.
00:00:53 *🧩 Step 1: Environment Setup with Miniconda*
- Guide on downloading and installing Miniconda for a lightweight Python environment.
- Importance of using Python 3.9 for compatibility with future libraries.
- Creating a new environment to isolate projects.
00:02:48 *📦 Step 2: Using Pip and Package Management*
- Explanation of using Pip and not mixing Conda for installing packages to avoid conflicts.
- Installation of Pip with Conda for package management.
00:03:48 *📚 Step 3: Installing Essential Libraries*
- Installation of essential libraries like Numpy, SciPy, Scikit-learn, Matplotlib, and Open3D.
- Purpose and use of each library within the 3D app development environment.
00:06:04 *🖥️ Step 4: Installing and Exploring an IDE*
- Installation of the Spider IDE for easier coding and testing within a local environment.
- Features of the Spider IDE: debugging, profiling, and variable exploring.
00:07:11 *🧱 Step 5: Exploring the Spider IDE*
- Overview of Spider IDE interface and functionalities, focusing on script writing and execution.
- Highlights the flexibility and convenience of using Spider for developing Python scripts.
00:09:00 *📂 Step 6: Structuring Code and First Applications*
- Importance of organizing code, data, and results within structured folders.
- Preparation for building standalone scripts without complex project files initially.
00:10:26 *✍️ Stage 7: Writing and Testing the First Script*
- Demonstrates writing a Python script that creates a sphere using Open3D and visualizes it.
- Explanation of running scripts, working with the console, and variables in the IDE.
00:13:38 *🎉 Experimenting with the Script and Conclusion*
- Testing the randomness and parameters of the script to create various 3D shapes.
- Encouragement to experiment and adapt the tool for further exploration in 3D Python development.
- Conclusion with an invitation to access more resources and future tutorials.
Made with HARPA AI

[@malikmouaji9555]

University of Yaounde 1, Yaoundé, Cameroon.
Please can we do this simulation if the optical lattice is discrete?

[@lancemason8912]

Santa Barbara, home to the Institute for Theoretical Physics, which I walked past once, and Virgil Elings' incomparable collection of motorcycles.

[@Jinyue-kx1fe]

university of chicago

[@karadisridhar]

India

[@jeffreysolomonken.chijioke2515]

Canada