Neural quantum states with a tailored 3D convolutional architecture simulate quench dynamics up to 1000 qubits and verify the 3D quantum Kibble-Zurek mechanism with RG-derived logarithmic corrections and data collapse.
Cardy,Scaling and Renormalization in Statistical Physics, Cambridge Lecture Notes in Physics (Cam- bridge University Press, 1996)
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
representative citing papers
The diagonal metric response of quantum relative entropy yields a susceptibility that diverges at quantum critical points in spin chains, with square-log divergence in the TFIM and power-law in a non-integrable three-spin Ising chain.
A protocol extracts scaling dimensions of d=3 CFTs from the spectrum of qubit Hamiltonians on polyhedral lattices, achieving few-percent accuracy on the 3D Ising model with 20 qubits.
citing papers explorer
-
Real-time Dynamics in 3D for up to 1000 Qubits with Neural Quantum States: Quenches and the Quantum Kibble--Zurek Mechanism
Neural quantum states with a tailored 3D convolutional architecture simulate quench dynamics up to 1000 qubits and verify the 3D quantum Kibble-Zurek mechanism with RG-derived logarithmic corrections and data collapse.
-
Metric response of relative entropy: A universal indicator of quantum criticality
The diagonal metric response of quantum relative entropy yields a susceptibility that diverges at quantum critical points in spin chains, with square-log divergence in the TFIM and power-law in a non-integrable three-spin Ising chain.
-
Qubit discretizations of d=3 conformal field theories
A protocol extracts scaling dimensions of d=3 CFTs from the spectrum of qubit Hamiltonians on polyhedral lattices, achieving few-percent accuracy on the 3D Ising model with 20 qubits.