itensor

DMRGPy is a Python library to compute quasi-one-dimensional spin chains and fermionic systems using matrix product states with DMRG as implemented in ITensor. Most of the computations can be performed both with DMRG and exact diagonalization for small systems, which allows one to benchmark the results.

Real-space parallel density matrix renormalization group (DMRG) based on ITensor

Python wrapper for ITensor

Using simple TRG code to benchmark different tensor implements.

User interface to solve quantum many-body spin systems with matrix product states (using ITensor)

Reproducible cross-library ground-state DMRG benchmark comparing MPSKit, ITensorMPS, TenPy, and YASTN

Spatiotemporal quenches in long-range TFI models | PRB 108, 024310 (2023) | Rydberg atoms & trapped ions

安装和使用ITensor

ITensor analysis of 2D-TFI model | Published in PRB 111, 054311 (2025)

Bose-Hubbard and extended Bose-Hubbard model DMRG calculations and classification of phases.

Load quantum circuits from OpenQASM files and simulate their result.

Notebook laboratory for quantum error correction, tensor-network simulation, fault-tolerant compilation, and quantum algorithms.

DMRG solver for 1D anyon chains (non-factorized Hilbert spaces), built on ITensor. Used in Phys. Rev. Lett. 128, 231603 (2022).

DMRG simulation of coupled frustrated spin-1/2 ladders using ITensors.jl. Includes calculation of energy, magnetization, and correlation matrices.

Implementation of locally purified density operators based on ITensor.

Quantum many-body dynamics simulation: this package provides MPS/TEBD simulation of quantum caustics in the quenched transverse-field Ising chain, cross-checked against exact diagonalisation and a Qiskit circuit. Julia and ITensor. Implementation behind Singh Roy et al., Phys. Rev. A (2026): arXiv:2410.06803

Browser-native quantum chemistry in WebGPU and TypeScript. HF, UHF, DFT, MP2, CCSD, unrestricted CCSD and CCSD(T), with WGSL kernels for the CCSD(T) triples and the Fock build. EE/IP/EA-EOM-CCSD, Cholesky density fitting, statevector and MPS/DMRG. Cross-checked against PySCF, ITensor and brute-force Hamiltonians.