Skip to content

Details

Abstract: The transverse shape of light has emerged in recent years as a promising platform for encoding quantum information, for the multiple levels that it affords and the ease with which shape can be controlled. To demonstrate, I will discuss two recent experiments. The first is on ignorance: One might ask if ignorance of a whole system implies ignorance of its parts. Our classical intuition tells us yes, however quantum theory tells us no: it is possible to encode information in a quantum system so that despite some ignorance of the whole, it is impossible to identify the unknown part. I will give an experimental evidence that supports this counterintuitive fact. The second is on learning: We used a tomographic technique inspired by machine learning to track a quantum state as the state changes. The method is computationally efficient and also robust—it converges to a good estimate even in the presence of strong noise. Developing techniques like this is especially important for systems that are of high dimensionality, where making tomographically complete measurements become impractical.

Related topics

Cloud Computing
Quantum Physics
Quantum Algorithms
Quantum Computing
Quantum Entanglement

You may also like