Simulating quantum systems is complex due to the “curse of dimensionality”, which is exacerbated in open quantum systems that interact with their environment. Indeed, tra- ditional computational methods struggle with the exponential growth of Hilbert space in these systems. This thesis introduces the Open-Time Variational Monte Carlo (otVMC) method, which combines the quantum trajectory formalism with Monte Carlo tech- niques to enable real-time simulations of open quantum systems. By exploiting stochas- tic Schrödinger equations and a variational approach, otVMC significantly reduces com- putational complexity. Applied to a dissipative many-body spin system with long-range interactions, this method successfully simulates up to 180 spins and provides insights into time evolution of the spin-squeezing parameter. Despite some limitations, such as potential biases and challenges with accuracy in the long-time evolution, otVMC offers a robust tool for studying the dynamics of large, strongly interacting systems and holds promise for future extensions to continuous and higher-dimensional systems.

COMBINING QUANTUM TRAJECTORIES AND TIME-DEPENDENT VARIATIONAL MONTE CARLO FOR MANY-BODY OPEN QUANTUM SYSTEMS

D'ALBERTO, JACOPO
2024

Abstract

Simulating quantum systems is complex due to the “curse of dimensionality”, which is exacerbated in open quantum systems that interact with their environment. Indeed, tra- ditional computational methods struggle with the exponential growth of Hilbert space in these systems. This thesis introduces the Open-Time Variational Monte Carlo (otVMC) method, which combines the quantum trajectory formalism with Monte Carlo tech- niques to enable real-time simulations of open quantum systems. By exploiting stochas- tic Schrödinger equations and a variational approach, otVMC significantly reduces com- putational complexity. Applied to a dissipative many-body spin system with long-range interactions, this method successfully simulates up to 180 spins and provides insights into time evolution of the spin-squeezing parameter. Despite some limitations, such as potential biases and challenges with accuracy in the long-time evolution, otVMC offers a robust tool for studying the dynamics of large, strongly interacting systems and holds promise for future extensions to continuous and higher-dimensional systems.
18-dic-2024
Inglese
GALLI, DAVIDE EMILIO
MENNELLA, ANIELLO
Università degli Studi di Milano
Milano
145
File in questo prodotto:
File Dimensione Formato  
phd_unimi_R13469.pdf

embargo fino al 25/05/2025

Dimensione 3.13 MB
Formato Adobe PDF
3.13 MB Adobe PDF

I documenti in UNITESI sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14242/184564
Il codice NBN di questa tesi è URN:NBN:IT:UNIMI-184564