Lecture

Quantum Optomechanics: Manipulating Light and Matter

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Description

This lecture covers the field of cavity quantum optomechanics, focusing on manipulating light and matter at the nano-, micro-, and macroscale. Starting with early questions on the nature of radiation, it progresses to quantum optics and recent experimental demonstrations. The lecture explores new applications such as quantum transducers and microwave-to-optics conversion, linking quantum computers. It delves into on-chip signal processing, precision searches for new physics, and testing quantum gravity. The foundations of macroscopic quantum physics are discussed, including quantum superposition of massive objects. Cavity quantum optomechanics enables chip-scale technologies, unprecedented sensing capabilities, and opens new avenues for fundamental physics.

Official source

Related concepts (32)

Quantum computing

A quantum computer is a computer that exploits quantum mechanical phenomena. At small scales, physical matter exhibits properties of both particles and waves, and quantum computing leverages this behavior, specifically quantum superposition and entanglement, using specialized hardware that supports the preparation and manipulation of quantum states. Classical physics cannot explain the operation of these quantum devices, and a scalable quantum computer could perform some calculations exponentially faster than any modern "classical" computer.

Signal processing

Signal processing is an electrical engineering subfield that focuses on analyzing, modifying and synthesizing signals, such as sound, , potential fields, seismic signals, altimetry processing, and scientific measurements. Signal processing techniques are used to optimize transmissions, digital storage efficiency, correcting distorted signals, subjective video quality and to also detect or pinpoint components of interest in a measured signal. According to Alan V. Oppenheim and Ronald W.

Loop quantum gravity

Loop quantum gravity (LQG) is a theory of quantum gravity, which aims to reconcile quantum mechanics and general relativity, incorporating matter of the Standard Model into the framework established for the intrinsic quantum gravity case. It is an attempt to develop a quantum theory of gravity based directly on Einstein's geometric formulation rather than the treatment of gravity as a mysterious mechanism (force). As a theory LQG postulates that the structure of space and time is composed of finite loops woven into an extremely fine fabric or network.

Quantum gravity

Quantum gravity (QG) is a field of theoretical physics that seeks to describe gravity according to the principles of quantum mechanics. It deals with environments in which neither gravitational nor quantum effects can be ignored, such as in the vicinity of black holes or similar compact astrophysical objects, such as neutron stars as well as in the early stages of the universe moments after the Big Bang Three of the four fundamental forces of nature are described within the framework of quantum mechanics and quantum field theory: the electromagnetic interaction, the strong force, and the weak force; this leaves gravity as the only interaction that has not been fully accommodated.

Digital signal processing

Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide variety of signal processing operations. The digital signals processed in this manner are a sequence of numbers that represent samples of a continuous variable in a domain such as time, space, or frequency. In digital electronics, a digital signal is represented as a pulse train, which is typically generated by the switching of a transistor.

Related lectures (64)

IQ Demodulation: FPGA and MATLAB

Explores IQ demodulation using FPGA and MATLAB for noisy quantum signals.

CCD Mixing Techniques: Optical Detection Solutions

Discusses CCD mixing techniques and their applications in optical detection systems, covering configurations, operations, and the importance of clocking mechanisms.

Quantum Signal Processing

Covers IQ demodulation of noisy quantum signals using FPGA and MATLAB.

Basic Properties of Optical Detectors: Formalism and Characteristics

Discusses the fundamental properties and characteristics of optical detectors, including responsivity, quantum efficiency, and the impact of noise on detection limits.

Neural Signals and Signal Processing