Holographic Computational Complexity as a measure for the Multiverse

Das, Suruj Jyoti and Roy, Shubho Ranjan (2018) Holographic Computational Complexity as a measure for the Multiverse. Masters thesis, Indian Institute of Technology Hyderabad.

[img] Text
Thesis_Msc_PH_3987.pdf - Accepted Version
Restricted to Repository staff only until 2030.

Download (8MB) | Request a copy


The landscape of solutions in String Theory leads to the possibility of di�erent universes with its own physical laws and fundamental constants (like cosmological constant(cc), rank of gauge groups and so on). Also, in cosmology, the process of in ation becomes eternal once quantum uctuations are taken into account and gives rise to many universes. Thus, it is plausible that the various distinct string vacua landscape are populating the di�erent pocket universes of the in ationary multiverse. It is hard to de�ne probabilities in the multiverse. In a new approach for multiverse analysis [9] , the multiverse is taken as a simulation by a quantum supercomputer, and the time taken for simulation is the computational complexity. Universes which have less complexity are produced more easily and are common. A recent conjecture by Susskind [10], relates the computational complexity to the Einstein-Hilbert action. The aim of this project is to compute the complexity for a multiverse with two vacua , a pure dS spacetime separated by a domain wall from a Schwarshild AdS spacetime. Di�erent domain wall trajectories are possible. We compute the Einstein-Hilbert action term of this system for the case when the de Sitter radius is less than the black hole event horizon radius.

[error in script]
IITH Creators:
IITH CreatorsORCiD
Roy, Shubho RanjanUNSPECIFIED
Item Type: Thesis (Masters)
Subjects: Physics
Divisions: Department of Physics
Depositing User: Team Library
Date Deposited: 06 Jun 2018 04:21
Last Modified: 06 Jun 2018 04:21
URI: http://raiith.iith.ac.in/id/eprint/3987
Publisher URL:
Related URLs:

Actions (login required)

View Item View Item
Statistics for RAIITH ePrint 3987 Statistics for this ePrint Item