2 code implementations • 7 Feb 2020 • Mohamed Hibat-Allah, Martin Ganahl, Lauren E. Hayward, Roger G. Melko, Juan Carrasquilla
A core technology that has emerged from the artificial intelligence revolution is the recurrent neural network (RNN).
Disordered Systems and Neural Networks Strongly Correlated Electrons Computational Physics Quantum Physics
1 code implementation • 28 Jun 2019 • Martin Ganahl, Ashley Milsted, Stefan Leichenauer, Jack Hidary, Guifre Vidal
We use the MERA to approximate the ground state wave function of the infinite, one-dimensional transverse field Ising model at criticality, and extract conformal data from the optimized ansatz.
Computational Physics
3 code implementations • 3 May 2019 • Ashley Milsted, Martin Ganahl, Stefan Leichenauer, Jack Hidary, Guifre Vidal
TensorNetwork is an open source library for implementing tensor network algorithms in TensorFlow.
2 code implementations • 3 May 2019 • Chase Roberts, Ashley Milsted, Martin Ganahl, Adam Zalcman, Bruce Fontaine, Yijian Zou, Jack Hidary, Guifre Vidal, Stefan Leichenauer
TensorNetwork is an open source library for implementing tensor network algorithms.
1 code implementation • 7 Jan 2018 • Martin Ganahl, Guifre Vidal
Given the continuum Hamiltonian $H$, we consider a sequence of discretized Hamiltonians $\{H(\epsilon_{\alpha})\}_{\alpha=1, 2,\cdots, p}$ on increasingly finer lattices with lattice spacing $\epsilon_1 > \epsilon_2 > \cdots > \epsilon_p$.
Quantum Gases