As quantum devices move from the NISQ to the pre-fault tolerant era, understanding the nature of quantum dynamics requires the combination of unitary evolution, mid-circuit measurements, and conditional feedback, which are the required ingredients for quantum error correction. At the same time, novel phenomena have been uncovered because of the competition of entangling unitary evolution and disentangling local measurements, which drives a measurement induced phase transition in the structure of the entanglement. Upon the incorporation of feedback from the measurement outcomes, it’s possible to steer the dynamics to a predetermined quantum state. This is only possible after overcoming the inherent chaotic evolution of generic quantum dynamics that defines a control induced phase transition that can be observed in correlation functions. Recent advances in adaptive quantum circuits have allowed for the direct experimental realization of these measurement and control induced phase transitions on superconducting qubit and trapped ion hardware.
This five-part lecture series will cover our modern understanding of quantum dynamics in isolated and monitored quantum many-body systems. We will present four technical lectures that cover classical and quantum chaos, the current analog and digital quantum platforms, monitored quantum dynamics, and adaptive quantum circuits. In the final lecture we will present a tutorial on how to use our open-source quantum dynamic simulation software.
Lecture 1: Classical chaos and quantum chaos/thermalization in isolated quantum systems.
Lecture 2: Analog and digital quantum simulators from unitary dynamics to midcircuit measurements.
Lecture 3: Monitored quantum dynamics in random quantum circuits.
Lecture 4: Adaptive quantum circuits and control induced phase transitions.
Lecture 5: Open quantum dynamics software tutorial.
Date and Time: 03, 05,08, 09, 11 June 2026 at 11:30 AM - 1:30 PM (IST)
Zoom link: https://icts-res-in.zoom.us/j/93229887751?pwd=rWQPOtP5PJERt0iguqDhwrXdHhJblD.1
Meeting ID: 932 2988 7751
Passcode: 583327