About | People | Research | Industry | Outreach | Events |
Title: Using Boson Sampling for Efficient Simulation of Molecular Spectra on a Small Quantum Processor
Date/Time: 25-Mar, 09:30AM
Venue: Online Event
Abstract: ‘Circuit QED’ is non-linear quantum optics extended to superconducting electrical circuits and represents a leading architecture for the eventual creation of large-scale fault-tolerant quantum computers. Recent remarkable theoretical and experimental progress in our ability to measure and manipulate the quantum states of individual microwave photons is leading to novel applications in quantum information processing, bosonic quantum error correcting codes and quantum simulations of bosonic systems. In this talk I will discuss how the ability to make repeated quantum non-demolition (QND) measurements of photon numbers allow accurate quantum simulation of the vibrational spectra of small molecules using efficient boson sampling.
Register in advance for this meeting:
https://nus-sg.zoom.us/meeting/register/tZAudO-hrToiHtKr4jaXDSLgEUmpXYNh4BGC
After registering, you will receive a confirmation email containing information about joining the meeting.
Title: Near-term quantum machine learning techniques
Date/Time: 11-Mar, 10:00AM
Venue: Online Via Zoom
Abstract: In this talk, I will introduce our theoretical and experimental works in the field of quantum machine learning. First, we will see variational algorithms, where parametrized quantum circuits are trained to construct a machine learning model. The methods use the exponentially large space of quantum systems for storing features of input data. We will also discuss our recent extension of the method to the task of time-series analysis. Secondly, I will present our experimental implementation of a quantum machine learning algorithm on a solid-state NMR platform
Registration:
https://nus-sg.zoom.us/meeting/register/tZEufu6pqzkqGdXpLglMVLrlFT5WVHijSYnl
After registering, you will receive a confirmation email containing information about joining the meeting.