EQUIPTNT | Enhanced quantum information processing targeting the near term

Summary
Progress in the fabrication, control and readout of systems consisting of a small number of qubits has catapulted quantum computation from a primarily theoretical pursuit into the lab. With the growing availability of small and relatively noise-free devices and the imminent arrival of larger next-generation equipment, new theoretical questions are being asked about the potential of quantum computation. In particular, one may ask if quantum computing devices may yield computational benefits even in the presence of noise or constraints on their size or geometrical layout of qubits.

The project EQUIPTNT will characterize the computational capabilities of near-term quantum devices by studying their potential to yield disruptive boosts in information-processing power. It will investigate and design new quantum algorithms adapted to limited hardware: the aim here is to provide computational advances while maximizing noise-tolerance without placing excessive demands on experimental capabilities. It will establish trade-off relations between noise levels, computational power, and the amount and nature of available computational resources. EQUIPTNT will also develop tools for simulating the quantum many-body dynamics of information-processing setups by classical algorithms, in order to pinpoint the origin of quantum advantage, and provide means for certifying the functionality of quantum hardware.

EQUIPTNT will establish new theoretical and algorithmic methods to address the question of ''best use'' for a given finite set of resources. Its interdisciplinary approach will yield novel principles for the design, simulation and validation quantum information processing protocols. Corresponding results will have direct application to near-term quantum devices, providing insights into the architecture and use of schemes tailored towards specific experimental platforms.
Unfold all
/
Fold all
More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/101001976
Start date: 01-10-2021
End date: 30-09-2026
Total budget - Public funding: 1 398 436,00 Euro - 1 398 436,00 Euro
Cordis data

Original description

Progress in the fabrication, control and readout of systems consisting of a small number of qubits has catapulted quantum computation from a primarily theoretical pursuit into the lab. With the growing availability of small and relatively noise-free devices and the imminent arrival of larger next-generation equipment, new theoretical questions are being asked about the potential of quantum computation. In particular, one may ask if quantum computing devices may yield computational benefits even in the presence of noise or constraints on their size or geometrical layout of qubits.

The project EQUIPTNT will characterize the computational capabilities of near-term quantum devices by studying their potential to yield disruptive boosts in information-processing power. It will investigate and design new quantum algorithms adapted to limited hardware: the aim here is to provide computational advances while maximizing noise-tolerance without placing excessive demands on experimental capabilities. It will establish trade-off relations between noise levels, computational power, and the amount and nature of available computational resources. EQUIPTNT will also develop tools for simulating the quantum many-body dynamics of information-processing setups by classical algorithms, in order to pinpoint the origin of quantum advantage, and provide means for certifying the functionality of quantum hardware.

EQUIPTNT will establish new theoretical and algorithmic methods to address the question of ''best use'' for a given finite set of resources. Its interdisciplinary approach will yield novel principles for the design, simulation and validation quantum information processing protocols. Corresponding results will have direct application to near-term quantum devices, providing insights into the architecture and use of schemes tailored towards specific experimental platforms.

Status

SIGNED

Call topic

ERC-2020-COG

Update Date

27-04-2024
Images
No images available.
Geographical location(s)
Structured mapping
Unfold all
/
Fold all
Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.1. EXCELLENT SCIENCE - European Research Council (ERC)
ERC-2020
ERC-2020-COG ERC CONSOLIDATOR GRANTS