SOURCE-LINKED INTELLIGENCE
FIrst NEar-TErm ApplicationS of QUAntum Devices
xtbook quantum algorithms, yet they hold great potential. With their advent, much research has been devoted to finding them a first practical application. Focus on optimization, quantum chemistry and machine learning has been intense, and the developments are closely monitored by governments and industry alike. Variational algorithms in a classical-quantum feedback loop and adiabatic algorithms have been the dominant paradigm. However, important bottle-necks remain that severely maim the performance of NISQ devices and the field yearns for a novel approach. FINE-TEA-SQUAD, FIrst NEar-TErm ApplicationS of QUAntum Devices, proposes a radically new vision: to develop a unifying framework that will yield the first practical applications of NISQ devices. The main objectives are (A) to design experimentally-friendly protocols for quantum state preparation circumventing major existing bottlenecks (high number of repetitions, noise-induced barren plateaus...) and characterize broad families of states that can be prepared in a scalable way, (B) to develop a practical certification toolset ame
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1485042.5
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T00:21:03.701Z. This is not the publication date.