Quantum certification and benchmarking

By Jens Eisert, Dominik Hangleiter, N. Walk, Ingo Roth, Damian Markham, Rhea Parekh, Ulysse Chabaud, Elham Kashefi. Nature Reviews Physics, 2019

427 citations recorded by the source corpus.

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 are critical because the powerful applications of quantum information science will only be realized if stringent levels of precision of components can be reached and their functioning guaranteed. This Technical Review provides a brief overview of the known characterization methods for certification, benchmarking and tomographic reconstruction of quantum states and processes, and outlines their applications in quantum computing, simulation and communication. Quantum technologies require an extremely precise functioning of their components which is ensured by sophisticated tools for device characterization. This Technical Review surveys and assesses the currently available tools according to their overall complexity, information gain, and underlying assumptions. To ensure the correct functioning of a quantum device, its components must be certified and benchmarked. Certification, benchmarking and characterization tasks are particularly demanding in quantum simulation and computing applications. The most common tools for certification and benchmarking are surveyed and assessed according to the information that may be extracted from the protocol, the assumptions underlying the protocol, and its complexity in terms of samples, measurements and post-processing. We highlight particularly important concepts, protocols and applications and list key figures of merit — information gain, complexity and underlying assumptions — for several protocols. To ensure the correct functioning of a quantum device, its components must be certified and benchmarked. Certification, benchmarking and characterization tasks are particularly demanding in quantum simulation and computing applications. The most common tools for certification and benchmarking are surveyed and assessed according to the information that may be extracted from the protocol, the assumptions underlying the protocol, and its complexity in terms of samples, measurements and post-processing. We highlight particularly important concepts, protocols and applications and list key figures of merit — information gain, complexity and underlying assumptions — for several protocols.

Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics

View Paper: https://www.semanticscholar.org/paper/a7eb9228e21bd43b95c089a42640c2daea7bd2e1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Atomic and Molecular Physics, and Optics

Citations in the corpus

Quantum Simulators: Architectures and Opportunities (2019, background): “However, these tools become forbiddingly difficult to implement at the level of 10 to 50 qubits, let alone for larger and more complex quantum elements [110].”
Quantum error mitigation (2022, methodology): “Their noise calibration can simply be carried out using standard gate noise benchmarking/characterisation techniques (Eisert et al., 2020; Kliesch and Roth, 2021), e.”
The randomized measurement toolbox (2022, background): “The literature on noise characterization is already the subject of entire review articles [77, 89], so we necessarily limit the scope of our discussion.”
Practical quantum advantage in quantum simulation (2022, background): “But the next step for experiments will be to verify the simulation being performed when it is beyond the bounds of classical simulation, that is, in a regime where verification of the quantum device by direct comparison with classical computations is a priori not possible 74,75 .”