All Outputs (5)

Methods for Simulating String-Net States and Anyons on a Digital Quantum Computer (2022)
Journal Article
Liu, Y., Shtengel, K., Smith, A., & Pollmann, F. (2022). Methods for Simulating String-Net States and Anyons on a Digital Quantum Computer. PRX Quantum, 3(4), Article 040315. https://doi.org/10.1103/prxquantum.3.040315

The finding of physical realizations of topologically ordered states in experimental settings, from condensed matter to artificial quantum systems, has been the main challenge en route to utilizing their unconventional properties. We show how to real... Read More about Methods for Simulating String-Net States and Anyons on a Digital Quantum Computer.

Data compression for quantum machine learning (2022)
Journal Article
Dilip, R., Liu, Y. J., Smith, A., & Pollmann, F. (2022). Data compression for quantum machine learning. Physical Review Research, 4(4), Article 043007. https://doi.org/10.1103/PhysRevResearch.4.043007

The advent of noisy-intermediate scale quantum computers has introduced the exciting possibility of achieving quantum speedups in machine learning tasks. These devices, however, are composed of a small number of qubits and can faithfully run only sho... Read More about Data compression for quantum machine learning.

Finite-depth scaling of infinite quantum circuits for quantum critical points (2022)
Journal Article
Jobst, B., Smith, A., & Pollmann, F. (2022). Finite-depth scaling of infinite quantum circuits for quantum critical points. Physical Review Research, 4(3), Article 033118. https://doi.org/10.1103/PhysRevResearch.4.033118

The scaling of the entanglement entropy at a quantum critical point allows us to extract universal properties of the state, e.g., the central charge of a conformal field theory. With the rapid improvement of noisy intermediate-scale quantum (NISQ) de... Read More about Finite-depth scaling of infinite quantum circuits for quantum critical points.

Crossing a topological phase transition with a quantum computer (2022)
Journal Article
Smith, A., Jobst, B., Green, A. G., & Pollmann, F. (2022). Crossing a topological phase transition with a quantum computer. Physical Review Research, 4(2), Article L022020. https://doi.org/10.1103/PhysRevResearch.4.L022020

Quantum computers promise to perform computations beyond the reach of modern computers with profound implications for scientific research. Due to remarkable technological advances, small scale devices are now becoming available for use. One of the mo... Read More about Crossing a topological phase transition with a quantum computer.

Identifying correlation clusters in many-body localized systems (2022)
Journal Article
Hémery, K., Pollmann, F., & Smith, A. (2022). Identifying correlation clusters in many-body localized systems. Physical Review B, 105(6), Article 064202. https://doi.org/10.1103/physrevb.105.064202

We introduce techniques for analyzing the structure of quantum states of many-body localized (MBL) spin chains by identifying correlation clusters from pairwise correlations. These techniques proceed by interpreting pairwise correlations in the state... Read More about Identifying correlation clusters in many-body localized systems.