MathWorks Week: Chemistry, Deep Learning and Quantum Computing

Join MathWorks engineers and Northeastern faculty for these insightful seminars in Climate Change, Quantum Computing, and AI.

Chemistry, Deep Learning and Quantum Computing

Thursday, March 3, 3 pm – 4 pm
Register: MathWorksNUSymposiumQuantumComputing.eventbrite.com

Graph Neural Networks for Chemistry Using MATLAB
Hossein Jooya, MathWorks

MATLAB’s new features in handling chemical structures, from small organic molecules to proteins will be demonstrated. Graph-convolutional (GC) and graph-attention (GA) networks are explained with various examples from toxicity prediction to molecular optimization. Attendees will have access to the shared code modules and can adapt them for their own research with hand-in-hand support from MathWorks technical team.

Photonic Quantum Technologies
Sunil Mittal, Professor, Dept. of Electrical and Computer Engineering

This talk will discuss the generation, manipulation, and measurements of quantum states of light, such as entangled photons, for applications in photonic quantum computation, quantum communications, and sensing.

Do You Trust Your Quantum Computers with Correct Answers?
Devesh Tiwari, Professor, Dept. of Electrical and Computer Engineering

Noisy Intermediate-Scale Quantum (NISQ) machines are increasingly being used to develop quantum algorithms and establish use cases for quantum computing. These devices, however, are highly error-prone and produce output which can be far from the correct output of the quantum algorithm. This talk will discuss some promising approaches towards estimating the correct program output on erroneous quantum devices.