most citedScaling of contraction costs for entanglement renormalization algorithms including tensor Trotterization and variational Monte Carlo

2 citations · 2 across the 2 of their papers we have counts for

collaborators
Showing quant-phShow all

5 papers · 1 filter

quant-ph2024

Probing entanglement scaling across a quantum phase transition on a quantum computer

Qiang Miao, Tianyi Wang, Kenneth R. Brown +2

The investigation of strongly-correlated quantum matter is difficult due to the curse of dimensionality and intricate entanglement structures. These challenges are particularly pro…

quant-ph2024

Equivalence of cost concentration and gradient vanishing for quantum circuits: An elementary proof in the Riemannian formulation

Qiang Miao, Thomas Barthel

The optimization of quantum circuits can be hampered by a decay of average gradient amplitudes with increasing system size. When the decay is exponential, this is called the barren…

quant-ph2023

Isometric tensor network optimization for extensive Hamiltonians is free of barren plateaus

Qiang Miao, Thomas Barthel

We explain why and numerically confirm that there are no barren plateaus in the energy optimization of isometric tensor network states (TNS) for extensive Hamiltonians with finite-…

quant-ph2023

Absence of barren plateaus and scaling of gradients in the energy optimization of isometric tensor network states

Thomas Barthel, Qiang Miao

Vanishing gradients can pose substantial obstacles for high-dimensional optimization problems. Here we consider energy minimization problems for quantum many-body systems with exte…

quant-ph2023

Convergence and Quantum Advantage of Trotterized MERA for Strongly-Correlated Systems

Qiang Miao, Thomas Barthel

Strongly-correlated quantum many-body systems are difficult to study and simulate classically. We recently proposed a variational quantum eigensolver (VQE) based on the multiscale…