Search Talks

In recent years, ‘measurement-induced phase transitions’ (MIPT), have led to a new paradigm for dynamical phase transitions in quantum many-body systems. I will discuss a model of continuously monitored or weakly measured arrays of Josephson junctions (JJAs) with feedback. Using a variational self-consistent harmonic approximation, as well as analysis in the semiclassical limit, strong feedback and measurement limit, and weak coupling perturbative renormalization group, I will show that the model undergoes re-entrant superconductor-insulator MIPTs in its long-time non-equilibrium steady state as a function of measurement and feedback strength. I will contrast the phase diagram of monitored JJA with the well-studied case of dissipative JJA.
 

We discuss the entanglement between two critical spin chains induced by the Bell-state measurements, when each chain was independently in the ground state before the measurement. This corresponds to a many-body version of “entanglement swapping”. We employ a boundary conformal field theory (CFT) approach and describe the measurements as conformal boundary conditions in the replicated field theory. We show that the swapped entanglement exhibits a logarithmic scaling, whose coefficient takes a universal value determined by the scaling dimension of the boundary condition changing operator. We apply our framework to the critical spin-1/2 XXZ chain and determine the universal coefficient by the boundary CFT analysis, which is verified by a numerical calculation.

This talk is based on M. Hoshino, M. O., and Y. Ashida, arXiv:2406.12377
 

Measurement induced phase transitions (MIPT) occur when the natural entangling dynamics in many-body systems is overcome by persistent but random single particle measurements. The entanglement originates from two-qubit gates, and we consider circuits when this is fixed and the one qubit operations are random unitaries. This talk discusses how the entangling power and other local unitary invariants of special two-qubit gates modify the phase transition parameters with much more robust circuits possible than with typical gates. Apart from the usual bipartite entanglement, the possible relevance of some other characterizations of local entanglement structure in MIPT are also discussed. Entangling power, gate typicality and Measurement-induced Phase Transitions,

Based on: Sourav Manna, Vaibhav Madhok, Arul Lakshminarayan, arXiv:2407.17776
 

Climate Scientists are increasingly turning to Machine Learning to answer various questions in their domain. In this talk, we will discuss a few typical problems related to Indian Monsoon, and discuss ML-based approaches for them. Specifically, we will focus on multi-scale forecasting, downscaling, and attribution to large-scale drivers.

Many-body localization is one of several conceptual example of how an interacting system of many particles can fail to reach thermal equilibrium. This talk discusses the emerging understanding of systems that fail to thermalize, with a particular focus on quantum information quantities such as entanglement. The importance of entanglement as a constraint on classical computation is complemented by new approaches to measure entanglement in solid-state systems using old techniques such as neutron scattering. New experimental systems in quantum matter such as nitrogen vacancy centers in diamond are, at least on accessible time scales, neither localized nor conventionally thermalizing, and while simple phenomenological models seem to capture the physics in some cases, the reasons why such models work are so far not well understood.

This presentation will delve into the intricate dynamics of the Indian Summer Monsoon Rainfall (ISM), focusing on the crucial role of oceanic and land moisture sources. By synthesizing findings from recent studies, we will explore the complex interplay between atmospheric circulation, oceanic processes, and land-surface conditions that shape the variability of the ISMR. We will present evidence highlighting the dominant influence of moisture transported from the western Indian Ocean on the overall ISM rainfall. Additionally, we will discuss the significant contribution of moisture recycling within the Ganges basin to regional precipitation patterns. Our research has also revealed the importance of land-atmosphere interactions, particularly the role of vegetation cover and soil moisture, in modulating the monsoon system. We will demonstrate the role of human water management, such as irrigation, in shaping monsoon rainfall patterns. By understanding these intricate processes, we aim to improve our ability to predict the onset, intensity, and spatial distribution of the ISM, which has profound implications for water resource management, agriculture, and disaster risk reduction in South Asia.

Projected ensemble, formed by the collection of pure states obtained by partial measurement of a quantum many body system and labeled by the measurement outcome provides a means to define a distribution of states in the Hilbert space, thereby going beyond the limitations of density matrices that can describe the unlabeled states. We discuss this and some results in the context of a many body system where conserved charges have local support.
 

In this talk, the moist physical processes associated with extreme precipitation will be discussed and the lack of representation of moist dynamics in numerical model will be emphasized. It will be shown with specific example the current status of forecasting extreme by NWP models and also by data driven models. The talk will throw insights on the gaps that can be addressed for possible improvement of moist dynamics vis-a-vis the fidelity of models in capturing extreme precipitation