Adaptive Quantum Circuits: From Nonequilibrium Many-Body Physics to Quantum Information Processing

Organizers:

Thomas Iadecola, Penn State University
Crystal Noel, Duke University
Maika Takita, IBM
Justin Wilson, Louisiana State University

Adaptive quantum circuits, in which mid-circuit measurements are used to condition subsequent quantum operations, are rapidly becoming available across several experimental platforms. These circuits offer a promising route from noisy intermediate-scale devices toward early fault-tolerant quantum technologies, with potential applications to state preparation, quantum algorithms, and error correction.

At the same time, adaptive circuits provide a versatile setting for exploring nonequilibrium quantum matter. They exhibit measurement-induced phase transitions, novel mixed-state phases with long-range or topological order, and deep connections to classical dynamical systems, statistical mechanics, and field theory. Understanding which features of these phenomena are intrinsically quantum, experimentally observable, and useful for computation is a central challenge for the field.

This conference will bring together researchers from academia and industry working at the intersection of quantum information science, condensed matter physics, and AMO physics. Topics will include adaptive quantum algorithms, near-term experimental implementations, measurement-induced criticality, mixed-state phases and topology, quantum error correction, and the stability of adaptive protocols to noise and imperfections. By placing theoretical developments in direct contact with emerging experimental capabilities, the meeting aims to clarify the role of adaptivity as both a tool for quantum technologies and a platform for new many-body physics.

Learn more at the conference website: https://aqc2027.condmat.org/