Quantum Simulations of Loop Quantum Gravity
Swapnil Nitin Shah

TL;DR
This paper reviews recent advances in quantum simulation techniques for Loop Quantum Gravity, highlighting the use of various quantum computing platforms to model complex quantum space-time geometries.
Contribution
It provides a comprehensive review of three state-of-the-art quantum simulation approaches for LQG using different quantum hardware technologies.
Findings
Superconducting qubit simulations of LQG states
Linear optical qubit implementations for LQG
NMR-based quantum simulations of LQG
Abstract
Loop Quantum Gravity (LQG) is one of the leading approaches to unify quantum physics and General Relativity (GR). The Hilbert space of LQG is spanned by spin-networks which describe the local geometry of quantum space-time. Simulation of LQG spin-network states and their dynamics is classically intractable and is widely believed to fall in the Bounded Quantum Polynomial (BQP) time complexity class. There have been many recent attempts to simulate these states using novel and off the shelf quantum computing technologies. In this article, we review three such efforts which utilize superconducting qubits, linear optical qubits and Nuclear Magnetic Resonance (NMR) qubits respectively. The articles chosen for this review represent state of the art in quantum simulations of LQG.
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Taxonomy
TopicsNoncommutative and Quantum Gravity Theories · Quantum Mechanics and Applications · Computational Physics and Python Applications
