Multipartite correlation enginee in open quantum systems
Abstract: Quantum correlations such as entanglement are not only a prerequisite for performing any meaningful task in quantum information processing but lie at the very heart of foundational quantum physics. The tasks of preserving and characterizing these correlations are rendered particularly challenging in the presence of noise, which dominates the current NISQ-era platforms. This challenge is triggering new approaches such as quantum reservoir engineering that employs controlled dissipation to act on a quantum system, such that the resultant dynamics naturally relax the system to an entangled state (or subspace) of interest. I will first describe how implementing a new generation of reservoir engineering protocols based on modular dissipation can realize deterministic scalable entanglement generation. Next, I will outline our recent progress towards characterizing complex correlations in multi-mode open and time-dependent systems.
Bio: Archana Kamal is an associate professor at University of Massachusetts Lowell where she leads the QUEST group (QUantum Engineering Science and Technology). She completed her PhD from Yale University and her postdoctoral research at MIT, where her research spanned both theoretical and experimental aspects of quantum information processing with superconducting quantum circuits. Some of the current themes pursued by her group include generation and control of large-scale entanglement, quantum measurement and readout, and applications of quantum information concepts to tackle questions in early Universe cosmology and out-of-equilibrium many-body systems. She was recognized with the TR 35 under 35 award from MIT Tech Review in 2018 for introducing the framework of active nonreciprocity in quantum-to-classical signal processing. She is also a recipient of Young Investigator Award from the AFOSR and Faculty Early Career award from the NSF.
