Hola,
¿eres nuevo aquí?

Registrate y conecta tu empresa con financiación pública, partners y proyectos.

CNS2023-145392

Financiado

Ciencias de la computación y tecnología informática

RESUMENEXPECTED CONTRIBUTION. IN THIS PROJECT WE AIM AT IDENTIFYING FUNDAMENTAL PRINCIPLES FOR DEVELOPING BETTER MACHINE LEARNING ALGORITHMS FOR QUANTUM COMPUTER ARCHITECTURES. WE AIM AT UNDERSTANDING THE FUNDAMENTAL UNDERPINNING... ver más

01/01/2023

UGR

399K€

Presupuesto del proyecto: 399K€

Líder del proyecto

UNIVERSIDAD DE GRANADA No se ha especificado una descripción o un objeto social para esta compañía.

Total investigadores 5507

Financiación concedida El organismo AGENCIA ESTATAL DE INVESTIGACIÓN notifico la concesión del proyecto el día 2023-01-01

0% 100%

1 Participantes

UGR

399.03K€ | Lider

Proyectos interesantes

FIS2016-80681-P APRENDIZAJE CUANTICO Y NO CLASICALIDAD 185K€ Cerrado

PGC2018-095113-B-I00 TEMAS EMERGENTES EN TECNOLOGIAS CUANTICAS 88K€ Cerrado

QUARC QUARC-BEYOND QUANTUM ADVANTAGE: A PRACTICAL AND UNCONDITIONA... 190K€ Cerrado

PID2021-122547NB-I00 TECNOLOGIAS CLAVE PARA COMPUTACION CUANTICA 109K€ Cerrado

PID2021-128970OA-I00 MACHINE LEARNING CUANTICO DISIPATIVO: UN PUENTE ENTRE LOS SI... 104K€ Cerrado

EIN2020-112289 HACIA LA EXCELENCIA EN LA APLICACION DE UN PROYECTO PARA LA... 10K€ Cerrado

Últimas noticias

29-11-2024: IDAE En las últimas 48 horas el Organismo IDAE ha otorgado 4 concesiones

29-11-2024: ECE En las últimas 48 horas el Organismo ECE ha otorgado 2 concesiones

29-11-2024: CMVAMADRID En las últimas 48 horas el Organismo CMVAMADRID ha otorgado 37 concesiones

Líder del proyecto

UNIVERSIDAD DE GRANADA

Total investigadores 5507

Presupuesto del proyecto 399K€

Descripción del proyecto RESUMENEXPECTED CONTRIBUTION. IN THIS PROJECT WE AIM AT IDENTIFYING FUNDAMENTAL PRINCIPLES FOR DEVELOPING BETTER MACHINE LEARNING ALGORITHMS FOR QUANTUM COMPUTER ARCHITECTURES. WE AIM AT UNDERSTANDING THE FUNDAMENTAL UNDERPINNINGS OF QUANTUM COMPUTATIONAL ADVANTAGE IN QUANTUM MACHINE LEARNING. WE WILL BUILD THEORETICAL TOOLS FOR DELINEATING THE FRONTIER OF QUANTUM COMPUTATIONAL POWER. WE WILL SEEK NEW AVENUES FOR ALGORITHM DEVELOPMENT IN QUANTUM MACHINE LEARNING. FURTHERMORE, WE WILL SEEK APPLICATIONS OF SUCCESSFUL CLASSICAL MACHINE LEARNING METHODS FOR PROBLEMS OF INTEREST IN QUANTUM COMPUTING AND DEVELOPMENT OF QUANTUM TECHNOLOGIES.THE PROPOSAL IS SET-UP TO APPLY BUILT-EXPERTISE FROM PRIOR QUANTUM COMPUTING PROJECTS OF THE PI (MARI-CURIE ATHENEA3I, HORIZON RIA FOQACIA) TO UNDERSTAND OPEN QUESTIONS IN QUANTUM MACHINE LEARNING. IN PARTICULAR, THE PROPOSAL WILL BE INTEGRATED WITH THE OUTCOMES OF TWO ONGOING RESEARCH PROJECTS:1 FOUNDATIONS OF QUANTUM COMPUTATIONAL ADVANTAGE (FOQACIA) EU HORIZON RESSEARCH INNOVATION ACTION, INDEPENDENTLY LED BY THE PI AT UNIVERSITY OF GRANADA, PART OF EU-CANADA GRANT CONSORTIUM. AIMS AT DEVELOPING MATHEMATICAL MODELS AND SOFTWARE TO IDENTIFY STRUCTURES RESPONSIBLE FOR QUANTUM COMPUTATIONAL ADVANTAGES IN QUANTUM ALGORITHMS.2. QUANTUM ENIA / QUANTUM SPAIN PROJECT. EU RECOVERY, TRANSFORMATION AND RESILIENCE PLAN NEXTGENERATION EU, MINISTRY OF ECONOMIC AFFAIRS AND DIGITAL TRANSFORMATION OF THE SPANISH GOVERNMENT. (UNIVERSIDAD DE GRANADA). CO-LED BY THE PI WITH CO-PI DANIEL MANZANO, MEMBER OF THE HOST DEPARTMENT. RESEARCHING QUANTUM NEURONAL NETWORKS, VARIATIONAL QUANTUM ALGORITHMS AND QUANTUM RESOURCES HTTPS://QUANTUMSPAIN-PROJECT.ES/ACERCA-DEAS WELL AS OUR PRIOR MARI-CURIE/ATHENEA3I ACTION ON DEVELOPMENT OF MINIMAL QUANTUM COMPUTATIONAL DEVICES FOR SHOWING COMPUTATIONAL ADVANTAGES. WE EXPECT TO OBTAIN NEW MATHEMATICAL METHODS TO UNDERSTAND QUANTUM ADVANTAGES IN QUANTUM MACHINE LEARNING AS WELL AS NEW MACHINE LEARNING AND NEURAL NETWORK METHODS FOR PROBLEMS OF INTEREST IN QUANTUM COMPUTING.THE PROPOSAL PUTS FORWARD A CENTRAL TIMELY QUESTION IN THE AREA OF QUANTUM COMPUTING & MACHINE LEARNING. IT ADDRESSES PROBLEMS OF THEORETICAL NATURE OF KEY IMPORTANCE IN THESE EMERGING FIELDS OF TECHNOLOGY. THE PROPOSAL IS THUS MULTI- AND INTER-DISCIPLINARY AND IN THE STRATEGIC THEME OF ARTIFICIAL INTELLIGENCE OF ENIA. THE PROPOSAL IS IN THE FIELD OF QUANTUM COMPUTING, WHICH IS RELATED TO THE DEVELOPMENT OF MICROELECTRONICS & SEMICONDUCTOR TECHNOLOGY, SINCE SUCH TECHNOLOGIES ARE CORE COMPONENTS OF TYPES OF HARDWARE USED IN QUANTUM COMPUTING (SUCH AS SUPERCONDUCTING CIRCUITS, USED BY GOOGLE AI AND IBM). COMPUTACION CUANTICA\FISICA FUNDAMENTAL\APRENDIZAJE AUTOMATICO\INTELIGENCIA ARTIFICIAL\FUNDAMENTOS CUANTICOS\SIMULACIONES\VENTAJA CUANTICA\ALGORITMOS\TEORIA DE LA COMPUTACION\INFORMACION CUANTICA

Conecta tu I+D

Entra hoy

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores