activity
20192026
most citedThe Variational Power of Quantum Circuit Tensor Networks

89 citations · 235 across the 11 of their papers we have counts for

collaborators

12 papers

quant-ph2026

Quantum error correction well below the color code threshold

Ali Lavasani, Adam P. Reed, Joan M. Dreiling +20

Quantum error correction enables scalable fault-tolerant quantum computation by suppressing logical errors exponentially with code distance once physical error rates fall below a c…

quant-ph2025

Superconducting pairing correlations on a trapped-ion quantum computer

Etienne Granet, Sheng-Hsuan Lin, Kevin Hémery +31

The Fermi-Hubbard model is the starting point for the simulation of many strongly correlated materials, including high-temperature superconductors, whose modelling is a key motivat…

quant-ph2025★ 8 cited

Digital quantum magnetism on a trapped-ion quantum computer

Reza Haghshenas, Eli Chertkov, Michael Mills +56

Digital quantum matter -- realized when discrete quantum gates approximate continuous time evolution -- is susceptible to heating into chaotic, structureless states. If digitizatio…

quant-ph2025★ 19 cited

Tensor networks for quantum computing

Aleksandr Berezutskii, Minzhao Liu, Atithi Acharya +25

In the rapidly evolving field of quantum computing, tensor networks serve as an important tool due to their multifaceted utility. In this paper, we review the diverse applications…

quant-ph2024★ 32 cited

The computational power of random quantum circuits in arbitrary geometries

Matthew DeCross, Reza Haghshenas, Minzhao Liu +49

Empirical evidence for a gap between the computational powers of classical and quantum computers has been provided by experiments that sample the output distributions of two-dimens…

quant-ph2023★ 13 cited

Probing critical states of matter on a digital quantum computer

Reza Haghshenas, Eli Chertkov, Matthew DeCross +11

Although quantum mechanics underpins the microscopic behavior of all materials, its effects are often obscured at the macroscopic level by thermal fluctuations. A notable exception…

quant-ph2022★ 1 cited

Qubit-efficient simulation of thermal states with quantum tensor networks

Yuxuan Zhang, Shahin Jahanbani, Daoheng Niu +2

We present a holographic quantum simulation algorithm to variationally prepare thermal states of -dimensional interacting quantum many-body systems, using only enough hardware q…

quant-ph2022★ 6 cited

Simulating challenging correlated molecules and materials on the Sycamore quantum processor

Ruslan N. Tazhigulov, Shi-Ning Sun, Reza Haghshenas +6

Simulating complex molecules and materials is an anticipated application of quantum devices. With strong quantum advantage demonstrated in artificial tasks, we examine how such adv…

cond-mat.str-el2021★ 24 cited

Holographic simulation of correlated electrons on a trapped ion quantum processor

Daoheng Niu, Reza Haghshenas, Yuxuan Zhang +3

We develop holographic quantum simulation techniques to prepare correlated electronic ground states in quantum matrix product state (qMPS) form, using far fewer qubits than the num…

quant-ph2021★ 89 cited

The Variational Power of Quantum Circuit Tensor Networks

Reza Haghshenas, Johnnie Gray, Andrew C. Potter +1

We characterize the variational power of quantum circuit tensor networks in the representation of physical many-body ground-states. Such tensor networks are formed by replacing the…

cond-mat.str-el2020★ 4 cited

Numerical continuum tensor networks in two dimensions

Reza Haghshenas, Zhi-Hao Cui, Garnet Kin-Lic Chan

We describe the use of tensor networks to numerically determine wave functions of interacting two-dimensional fermionic models in the continuum limit. We use two different tensor n…

cond-mat.str-el2019★ 39 cited

Conversion of projected entangled pair states into a canonical form

R. Haghshenas, Matthew J. O'Rourke, Garnet Kin-Lic Chan

We propose an algorithm to convert a projected entangled pair state (PEPS) into a canonical form, analogous to the well-known canonical form of a matrix product state. Our approach…