Curious about quantum computing's real-world applications? Check out the MPI-PKS talk by Prof.Smith from the University of Nottingham, and learn with hands-on examples using the IBM Cloud quantum computers and @qiskit python library🧑‍💻

🔗 https://enabla.com/set/92/pub/642/about

The lecture covers the basics of quantum mechanics necessary to understand quantum circuits and explores two applications in many-body physics: finding ground states and simulating non-equilibrium dynamics. Perfect for beginners and experts alike. Don't miss out!

All #Enabla lectures are #free and #OpenAccess. If you like what we're doing, please support us by liking, sharing, following this account, leaving some comments under this post & asking questions on Enabla. Any of these actions help us a lot; thank you!🙏

#QuantumComputing #IBMQuantum #Qiskit #QuantumCircuits #NISQ #ManyBodyPhysics

Can the output distribution of #quantumcircuits be efficiently learned? In our work, we show that learning the output distributions of brickwork random quantum circuits is average-case hard in the statistical query model.

https://scirate.com/arxiv/2305.05765

“Measurement-induced phase transitions on dynamical quantum trees” by Xiaozhou Feng (heard about its posting from Brian Skinner on Twitter):

https://www.youtube.com/watch?v=GIAn1-kKPOc

#StatMech #Quantum #MIPT #QuantumCircuits