CERN Accelerating science

Video Lectures

Najnovije dodano:
2023-11-27
14:55
Opening / Knobloch, Jens (speaker) (Helmholtz-Zentrum Berlin & Universität Siegen) ; Tecker, Frank (speaker) (CERN) ; Vollinger, Christine (speaker) (CERN)
2023 - 0:59:53. CERN Accelerator School; CAS course on "RF for Accelerators", 18 June - 01 July 2023, Berlin Germany External links: Talk details; Event details In : CAS course on "RF for Accelerators", 18 June - 01 July 2023, Berlin Germany

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2023-11-27
13:40
INVITED TALK: Topics in quantum topological data analysis / Dunjko, Vedran (speaker) (Leiden University)
Abstract: Although still a relatively niche field in classical machine learning, topological data analysis has raised substantial interest from the perspective of quantum algorithms in the last few years. In this talk we will introduce the topic of topological data analysis, and discuss the state-of-art of quantum algorithms for this problem, together with their promises and limitations, possible generalisations and connections to many-body physics..
2023 - 0:41:58. QTI other events or meetings; Quantum Techniques in Machine Learning (QTML conference 2023) External links: Talk details; Event details In : Quantum Techniques in Machine Learning (QTML conference 2023)

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2023-11-27
13:40
INVITED TALK: Accelerating Discovery in Particle Physics with AI / Ngadiuba, Jennifer (speaker) (FNAL)
The quest to understand the fundamental constituents of the universe is at the heart of particle physics. However, the complexity of particle interactions, the volume of data produced by experiments, and the intricacy of theoretical models present significant challenges to advancements in this field. [...]
2023 - 0:44:32. QTI other events or meetings; Quantum Techniques in Machine Learning (QTML conference 2023) External links: Talk details; Event details In : Quantum Techniques in Machine Learning (QTML conference 2023)

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2023-11-27
13:40
INVITED TALK: The signal and the noise: learning with random quantum circuits and other agents of chaos / QUEK, Yihui (speaker) (Harvard University)
What can we quantum-learn in the age of noisy quantum computation? Both more and less than you think. Noise limits our ability to error-mitigate, a term that refers to near-term schemes where errors that arise in a quantum computation are dealt with in classical pre-processing. [...]
2023 - 0:36:15. QTI other events or meetings; Quantum Techniques in Machine Learning (QTML conference 2023) External links: Talk details; Event details In : Quantum Techniques in Machine Learning (QTML conference 2023)

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2023-11-27
13:40
INVITED TALK: Approximate Autonomous Quantum Error Correction with Reinforcement Learning / Gneiting, Clemens (speaker) (Riken)
Quantum error correction will ultimately empower quantum computers to leverage their full potential. However, substantial device overhead and the need for frequent syndrome measurements, which are themselves error-prone, render the demonstration of logical qubits that significantly surpass break-even still challenging. [...]
2023 - 0:44:20. QTI other events or meetings; Quantum Techniques in Machine Learning (QTML conference 2023) External links: Talk details; Event details In : Quantum Techniques in Machine Learning (QTML conference 2023)

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2023-11-27
11:28
Multipacting Breakdowns / Wuensch, Walter (speaker) (CERN)
The lecture “Multipactor and Breakdown” gives an introduction into the two main arcing phenomena encountered in high-power RF systems. The basic resonant character of multipactor and the role of secondary electron yield is shown. [...]
2023 - 0:52:15. CERN Accelerator School; CAS course on "RF for Accelerators", 18 June - 01 July 2023, Berlin Germany External links: Talk details; Event details In : CAS course on "RF for Accelerators", 18 June - 01 July 2023, Berlin Germany

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2023-11-27
11:28
HOM mitigation / Baboi, Nicoleta (speaker) (DESY)
Higher Order Modes (HOM) in accelerating structures are resonant electromagnetic fields excited and left behind by charged particle bunches. They can dramatically degrade the beam quality in accelerators, such as the multi-bunch energy spread and transverse emittance and therefore, one has to study and make them harmless carefully. [...]
2023 - 0:36:52. CERN Accelerator School; CAS course on "RF for Accelerators", 18 June - 01 July 2023, Berlin Germany External links: Talk details; Event details In : CAS course on "RF for Accelerators", 18 June - 01 July 2023, Berlin Germany

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2023-11-27
11:28
High beta cavities II / Wuensch, Walter (speaker) (CERN)
The lectures “High-Beta Cavities I and II” cover the main concepts that underly acceleration of relativistic beams, with a focus on traveling wave acceleration. These include the concepts of phase velocity and synchronism with the beam, group velocity, periodically loaded accelerating structures, the Brillouin diagram and the fundamental theorem of beam loading derived from an energy balance point of view..
2023 - 0:38:29. CERN Accelerator School; CAS course on "RF for Accelerators", 18 June - 01 July 2023, Berlin Germany External links: Talk details; Event details In : CAS course on "RF for Accelerators", 18 June - 01 July 2023, Berlin Germany

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2023-11-27
11:28
Transverse deflecting cavities / Burt, Graeme (speaker)
Many applications require RF cavities that deflect the beam transversely, where the field needs to vary faster than can be achieved using magnets. This lecture studies dipole modes used for these applications and uses Panofsky-Wenzel theorem to look at transverse voltages, beam loading and mode requirements. [...]
2023 - 0:55:36. CERN Accelerator School; CAS course on "RF for Accelerators", 18 June - 01 July 2023, Berlin Germany External links: Talk details; Event details In : CAS course on "RF for Accelerators", 18 June - 01 July 2023, Berlin Germany

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2023-11-27
11:28
RF manipulations II / Damerau, Heiko (speaker) (CERN)
Beyond increasing the energy of charged particles, RF frequency systems in accelerators allow to control longitudinal beam properties like distance between the bunches, their length, position in time, as well as the orbit length in a synchrotron. This is essential to adapt the beam parameters to the requirements of experiments or downstream accelerators. [...]
2023 - 0:58:07. CERN Accelerator School; CAS course on "RF for Accelerators", 18 June - 01 July 2023, Berlin Germany External links: Talk details; Event details In : CAS course on "RF for Accelerators", 18 June - 01 July 2023, Berlin Germany

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