output
20062026
most citedSciPy 1.0--Fundamental Algorithms for Scientific Computing in Python

40.2k citations

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40 papers · 1 filter

quant-ph2026

Semidefinite programming for understanding the limitations of Lindblad equations

Soumyadeep Sarma, Manas Kulkarni, Archak Purkayastha +1

Lindbladian quantum master equations (LEs) are the most popular descriptions for quantum systems weakly coupled to baths. But, recent works have established that in many situations…

quant-ph2025★ 1 cited

Information phases of partial projected ensembles generated from random quantum states and scrambling dynamics

Alan Sherry, Saptarshi Mandal, Sthitadhi Roy

The projected ensemble -- an ensemble of pure states on a subsystem conditioned on projective measurement outcomes on its complement -- provides a finer probe of ergodicity and inf…

quant-ph2025

Quantum circuit model for continuous-time quantum walks on random graphs

Sabyasachi Chakraborty, Rohit Sarma Sarkar, Sonjoy Majumder +1

Quantum-circuit implementations of continuous-time quantum walks (CTQWs) can provide an efficient route to model graph-based algorithms. However, constructing circuits that faithfu…

quant-ph2025

Digital controllability of transverse field Ising chains

Vincenzo Roberto Arezzo, Ruiyi Wang, Kiran Thengil +2

Quantum Annealing (QA) encounters limitations when the energy gap along the annealing path becomes exponentially small, leading to impractically long runtimes. In contrast, the suc…

quant-ph2025★ 2 cited

Partial projected ensembles and spatiotemporal structure of information scrambling

Saptarshi Mandal, Pieter W. Claeys, Sthitadhi Roy

Thermalisation and information scrambling in out-of-equilibrium quantum many-body systems are deeply intertwined: local subsystems dynamically approach thermal density matrices whi…

quant-ph2025

Do mixed states exhibit deep thermalisation?

Alan Sherry, Sthitadhi Roy

Deep thermalisation -- where ensembles of pure states on a local subsystem, conditioned on measurement outcomes on its complement, approach universal maximum-entropy ensembles -- r…