Learning quantum systems

V Gebhart, R Santagati, AA Gentile, EM Gauger… - Nature Reviews …, 2023 - nature.com
The future development of quantum technologies relies on creating and manipulating
quantum systems of increasing complexity, with key applications in computation, simulation …

Quantum certification and benchmarking

J Eisert, D Hangleiter, N Walk, I Roth… - Nature Reviews …, 2020 - nature.com
With the rapid development of quantum technologies, a pressing need has emerged for a
wide array of tools for the certification and characterization of quantum devices. Such tools …

Predicting many properties of a quantum system from very few measurements

HY Huang, R Kueng, J Preskill - Nature Physics, 2020 - nature.com
Predicting the properties of complex, large-scale quantum systems is essential for
develo** quantum technologies. We present an efficient method for constructing an …

Theory of quantum system certification

M Kliesch, I Roth - PRX quantum, 2021 - APS
The precise control of complex quantum systems promises numerous technological
applications including digital quantum computing. The complexity of such devices renders …

General framework for randomized benchmarking

J Helsen, I Roth, E Onorati, AH Werner, J Eisert - PRX Quantum, 2022 - APS
Randomized benchmarking refers to a collection of protocols that in the past decade have
become central methods for characterizing quantum gates. These protocols aim at efficiently …

Efficient estimation of Pauli channels

ST Flammia, JJ Wallman - ACM Transactions on Quantum Computing, 2020 - dl.acm.org
Pauli channels are ubiquitous in quantum information, both as a dominant noise source in
many computing architectures and as a practical model for analyzing error correction and …

Experimental neural network enhanced quantum tomography

AM Palmieri, E Kovlakov, F Bianchi, D Yudin… - npj Quantum …, 2020 - nature.com
Quantum tomography is currently ubiquitous for testing any implementation of a quantum
information processing device. Various sophisticated procedures for state and process …

Quantum process tomography with unsupervised learning and tensor networks

G Torlai, CJ Wood, A Acharya, G Carleo… - Nature …, 2023 - nature.com
The impressive pace of advance of quantum technology calls for robust and scalable
techniques for the characterization and validation of quantum hardware. Quantum process …

Quantum advantages for Pauli channel estimation

S Chen, S Zhou, A Seif, L Jiang - Physical Review A, 2022 - APS
We show that entangled measurements provide an exponential advantage in sample
complexity for Pauli channel estimation, which is both a fundamental problem and a …

Nonstabilizerness determining the hardness of direct fidelity estimation

L Leone, SFE Oliviero, A Hamma - Physical Review A, 2023 - APS
In this work, we show how the resource theory of nonstabilizerness quantifies the hardness
of direct fidelity estimation protocols. In particular, the resources needed for a direct fidelity …