Talks

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.

Celestial Holography encompasses a decade-long endeavor to understand a flat space realization of the holographic principle starting from symmetries in the infrared.  But where does it fit within other attempts at constructing a flat hologram? This colloquium delves into some fun tensions in the literature and hopes for resolving them.

Abstract: Randomness is a powerful resource for information-processing applications. For example, classical randomness is essential for modern information security and underpins many cryptographic schemes. Similarly, quantum randomness can protect quantum information against noise or eavesdroppers who wish to access or manipulate that information. These observations raise a set of related questions: How quickly and efficiently can we generate quantum randomness? How much quantum randomness is necessary for a given task? What can we use quantum randomness for? In this talk, I address these questions using all-to-all Brownian circuits, a family of random quantum circuits for which exact results can often be obtained via mean-field theory. I will first demonstrate that all-to-all Brownian circuits form k-designs in a time that scales linearly with k. I will then discuss how these circuits can be applied to study Heisenberg-limited metrology and quantum advantage. In particular, I will discuss a time-reversal protocol that can achieve Heisenberg-limited precision in cavity QED and trapped ion setups; I will also discuss the application of these circuits to studying classical spoofing algorithms for the linear cross-entropy benchmark, a popular measure of quantum advantage.

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