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20202026
most citedQuantum Liang Information Flow as Causation Quantifier

23 citations · 27 across the 6 of their papers we have counts for

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quant-ph2026

Quantum Liang Information Flow vs. Out-of-Time-Order Correlators as Chaos Diagnostics in the Mixed-Field Ising Chain

Bin Yi

We systematically compare Quantum Liang Information Flow (QLIF) a recently proposed causal information measure with the out-of-time-order correlator (OTOC) as diagnostics of quantu…

quant-ph2026

Directional Dynamics of the Non-Hermitian Skin Effect

Bin Yi

The dynamical consequences of the non-Hermitian skin effect (NHSE) remain largely unexplored despite extensive studies of its static properties. Here we address this gap by applyin…

quant-ph2024★ 2 cited

Quantum Liang Information Flow Probe of Causality across Critical Points

Roopayan Ghosh, Bin Yi, Sougato Bose

Investigating causation in the quantum domain is crucial. Despite numerous studies of correlations in quantum many-body systems, causation, which is very distinct from correlations…

quant-ph2022★ 23 cited

Quantum Liang Information Flow as Causation Quantifier

Bin Yi, Sougato Bose

Liang information flow is a quantity widely used in classical network theory to quantify causation, and has been applied widely, for example, to finance and climate. The most strik…

quant-ph2021★ 2 cited

Massive Spatial Qubits for Testing Macroscopic Nonclassicality and Casimir Induced Entanglement

Bin Yi, Urbasi Sinha, Dipankar Home +2

An open challenge in physics is to expand the frontiers of the validity of quantum mechanics by evidencing nonclassicality of the centre of mass state of a macroscopic object. Yet…

quant-ph2020

Frozen discord in stochastic dephasing environment

Bin Yi

Preserving quantum coherence is fundamental challenge in the field of quantum computation. Here, I investigate the frozen discord phenomenon and non-Markovianity for qubits experie…