Cargando…

Quantum simulation and machine learning

Detalles Bibliográficos
Autor principal:	Spannowsky, Michael
Lenguaje:	eng
Publicado:	2022
Materias:	QTI other events or meetings
Acceso en línea:	http://cds.cern.ch/record/2842086

Ejemplares similares

An LHC application of Quantum Machine Learning and INFN summary
por: Zuliani, Davide
Publicado: (2022)

Hybryd variational classical-quantum computing, the machine learning way
por: Carleo, Giuseppe
Publicado: (2022)

Quantum Computing and Simulation
por: Bauer, Christian Walter
Publicado: (2022)

Quantum simulation of collective neutrino oscillations
por: Roggero, Alessandro
Publicado: (2022)

Experimental quantum physics at CERN today
por: Doser, Michael
Publicado: (2022)

Quantum Communication and Quantum Computing in NREN perspective - PSNC activities
por: Rydlichowski, Piotr
Publicado: (2022)

Quantum theory for HEP
por: Lykken, Joseph
Publicado: (2022)

The Quantum Landscape - Keynote
por: Ribordy, Grégoire
Publicado: (2022)

Quantum computing science at CERN
por: Vallecorsa, Sofia
Publicado: (2022)

GESDA & The Open Quantum Institute
por: Hood, Marieke
Publicado: (2022)

Noise gates for quantum computing
por: Bassi, Angelo
Publicado: (2022)

Developing instrumentation for Quantum Computers
por: Kirste, Moritz
Publicado: (2022)

High Dimensional Quantum Computation
por: Cervera, Alba
Publicado: (2022)

Quantum generative models in HEP
por: Delgado, Andrea
Publicado: (2022)

History of quantum activities at CERN and UNIGE
por: Gisin, Nicolas, et al.
Publicado: (2022)

Quantum computing for lattice gauge theories
por: Li, Ying Ying
Publicado: (2022)

Quantum sensing theory and fundamental backgrounds
por: Blas, Diego
Publicado: (2022)

CERN Quantum Technology Initiative (CERN QTI)
por: Di Meglio, Alberto
Publicado: (2022)

Charting a continuous path to Quantum Advantage
por: Gambetta, Jay
Publicado: (2022)

Trapped ions quantum computing – challenges and perspectives
por: Kaminska, Anna
Publicado: (2022)

Analog quantum computing: from the lab to the industry
por: Estarellas, Marta
Publicado: (2022)

Applications of quantum computing to HEP: Recent Projects in ICEPP
por: Nagano, Lento
Publicado: (2022)

Ion traps and the road to fault tolerant quantum computing
por: Hempel, Cornelius
Publicado: (2022)

A quantum-inspired tool for bridging the NISQ ERA
por: Montangero, Simone
Publicado: (2022)

The ATIQ project: collaborative development of trapped-ion quantum computers
por: Torkzaban, Celeste
Publicado: (2022)

State-of-the-art and current challenges/hot topics of quantum communications
por: Tittel, Wolfgang
Publicado: (2022)

Intel Quantum SDK: A Platform for Efficient Execution of Variational Algorithms
por: Guerreschi, Gian Giacomo
Publicado: (2022)

QPlayLearn
por: Foti, Caterina
Publicado: (2022)

A practical introduction to quantum computing: from qubits to quantum machine learning and beyond
por: Fernandez-Combarro Alvarez, Elias
Publicado: (2020)

A practical introduction to quantum computing: from qubits to quantum machine learning and beyond
por: Fernandez-Combarro Alvarez, Elias
Publicado: (2020)

A practical introduction to quantum computing: from qubits to quantum machine learning and beyond
por: Fernandez-Combarro Alvarez, Elias
Publicado: (2020)

IBM Qiskit
por: Bäumer, Elisa
Publicado: (2022)

IBM Qiskit
por: Bäumer, Elisa
Publicado: (2022)

Opening and Welcome
por: CERN. Geneva
Publicado: (2022)

Q&A and Closing
por: Di Meglio, Alberto
Publicado: (2022)

QML Foundations: Building the case for QML in HEP
por: Dunjko, Vedran
Publicado: (2022)

Poster winners announcement
por: Di Meglio, Alberto
Publicado: (2022)

Development of detectors for ultra-low energy neutrinos
por: Cavoto, Gianluca
Publicado: (2022)

Closing
por: Di Meglio, Alberto
Publicado: (2022)

Welcome and introduction
por: Di Meglio, Alberto
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_ovvv22qat1rmk81sts8hjd07mf