CORDIS Project
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HyNNet NISQ aims to develop hybrid quantum-classical algorithms for characterizing quantum states on near-term quantum computers. By integrating machine learning techniques, the project seeks to enhance the measurement and analysis of quantum systems, facilitating advancements in quantum computing applications.
The objective of HyNNet NISQ is to develop tools based on hybrid quantum-classical algorithms for the characterization and measurement of quantum states prepared on near-term quantum computers.Currently available quantum devices can perform computations that are challenging for classical computers.
However, applications of quantum computers in science and economy require a further development of quantum hardware and algorithms.
One of the major challenges is the measurement and characterization…
FRIEDRICH-ALEXANDER-UNIVERSITAET ERLANGEN-NUERNBERG
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Switzerland, Basel
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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