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The density-matrix renormalization group in the age of matrix product states

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abstract

The density-matrix renormalization group method (DMRG) has established itself over the last decade as the leading method for the simulation of the statics and dynamics of one-dimensional strongly correlated quantum lattice systems. In the further development of the method, the realization that DMRG operates on a highly interesting class of quantum states, so-called matrix product states (MPS), has allowed a much deeper understanding of the inner structure of the DMRG method, its further potential and its limitations. In this paper, I want to give a detailed exposition of current DMRG thinking in the MPS language in order to make the advisable implementation of the family of DMRG algorithms in exclusively MPS terms transparent. I then move on to discuss some directions of potentially fruitful further algorithmic development: while DMRG is a very mature method by now, I still see potential for further improvements, as exemplified by a number of recently introduced algorithms.

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Multimode-cavity picture of non-Markovian waveguide QED

quant-ph · 2024-03-11 · unverdicted · novelty 7.0

A multimode-cavity picture is introduced for non-Markovian waveguide QED via spatial decomposition, approximating dynamics with a finite and growing number of cavity modes.

Symmetry breaking phases and transitions in an Ising fusion category lattice model

cond-mat.str-el · 2026-04-22 · unverdicted · novelty 7.0

The Ising fusion category lattice model features a symmetric critical phase equivalent to the Ising model, a categorical ferromagnetic phase with threefold degeneracy, and a critical categorical antiferromagnetic phase with fourfold degeneracy described by an Ising CFT.

Quantum Kernels are Spectral Tensor Networks

quant-ph · 2026-06-18 · unverdicted · novelty 6.0

Quantum kernels are spectral tensor networks because their Fourier coefficient tensors are matrix product operator factorizations, with kernel target alignment acting as Frobenius cosine similarity on frequency grids.

Fermionic Hamiltonian engineering with local control

quant-ph · 2026-06-15 · unverdicted · novelty 6.0

Linear-programming method for conjugating local fermionic unitaries with free evolution realizes arbitrary complex tunneling coefficients in fermionic lattice models constrained only by connectivity.

Simulating quantum circuits with a neural statebank

quant-ph · 2026-06-07 · unverdicted · novelty 6.0

A compact neural statebank based on autoregressive Transformers simulates 34-qubit quantum circuits with ~0.01 infidelity using 0.3 million parameters, outperforming tested approximate simulators.

Dense $\mathrm{QC_2D_2}$ with uniform matrix product states

hep-lat · 2026-05-16 · unverdicted · novelty 6.0

Uniform MPS simulations of dense 1+1D SU(2) gauge theory find Tomonaga-Luttinger liquid infrared behavior with central charge 1, density modulations at the predicted wavenumber, and a smooth crossover in the Luttinger parameter from K~1 to K~1/2 that realizes the quarkyonic picture with coexisting q

Quantum Machine Learning for State Tomography Using Classical Data

quant-ph · 2025-07-01 · unverdicted · novelty 6.0

A variational quantum circuit trained solely on classical measurement outcomes reconstructs diverse quantum states including GHZ, spin-chain ground states, and random circuits with fidelities above 90% on simulators and real NISQ hardware.

Estimating the best separable approximation of non-pure spin-squeezed states

quant-ph · 2025-04-10 · unverdicted · novelty 6.0

Lower bounds on the best separable approximation distance for non-pure spin-squeezed states are obtained from the complete set of spin-squeezing inequalities, with symmetry-exploiting optimization for upper bounds, revealing finite-temperature entanglement in ordered phases of the XXZ model.

Preparing High-Fidelity Thermofield Double States

quant-ph · 2026-05-04 · unverdicted · novelty 6.0

A gapped parent Hamiltonian built from two copies of a target Hamiltonian plus ultra-local inter-copy couplings allows adiabatic preparation of high-fidelity thermofield double states for ETH-obeying systems.

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quant-ph · 2026-05-04 · unverdicted · novelty 4.0

A hybrid tensor network framework interpolates between classical and quantum models via controllable post-selection, with a trainable hyperparameter that complements bond dimension to enhance quantum machine learning.

Mixed-spin Heisenberg ladders in a magnetic field

cond-mat.str-el · 2026-06-26 · unverdicted · novelty 3.0

DMRG study of (1/2,1) Heisenberg ladders finds 1/3 magnetization plateau for J_perp>0 (limited range for J_perp<0) and locates the KT critical point via finite-size transverse spin correlations.

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hep-th · 2026-06-09 · unverdicted · novelty 3.0

Lecture notes develop semiclassical methods to compute large-n scaling dimensions of composite operators in CFTs, recovering known results in free theory and deriving one-loop corrections at the Wilson-Fisher fixed point.

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