PERSPECTIVE QUANTUM #10

ISEQ, INTRIQ, COPL, Québec Quantique, Optonique et NUMANA  invite you Wednesday, April 6th from 10:00 a.m. to 12:30 p.m the 10th webinar of the Quantum Perspective series with Santosh Radha et Ian Buckley from Agnostiq on getting Started with Hybrid Classical and Quantum Workflows with Covalent

Abstract: 

Workflow orchestration tools are widely used to optimize and organize computations in the data science and machine learning industries. Covalent[1] is a new open-source Python tool which extends these principles to the academic community, with the goal of making computational experiments scalable, manageable, and reproducible. In this talk, we’ll discuss general principles of workflows and then focus on how Covalent is applied to scientific calculations in a quantum machine learning tutorial.

Based in Toronto, Agnostiq develops software tools and applications that aim to make quantum and high performance computing resources more accessible to enterprises and developers. Along with algorithmic research, Agnostiq is developing Covalent, an open source workflow orchestration platform designed to help users manage and execute tasks on heterogeneous compute resources.
 

Speakers:

Santosh Radha, PhD, Head of quantum algorythms, Agnotiq

Santosh holds a PhD in theoretical physics from Case Western Reserve University, where he initially started working on massive gravity and then moved to condensed matter physics. His research was to theoretically and computationally understand the topological effects occurring in quantum systems as a result of "knotted" wave functions in both interacting and non-interacting fermionic systems and its impact in lower dimensional entanglement. Apart from these, he is interested in a lot of domains, particularly in the intersection of mathematics, Physics, Computer Science and music.

 

Ian Buckley, Community and Partnerships Lead, Agnotiq

Ian received his PhD in Theoretical Physics from the Blackett Laboratory, Imperial College London. From physics, Ian moved into finance. He conducted research in & taught financial mathematics at Imperial College London, King's College London (where he received tenure), University of Toronto & McMaster University. In industry, Ian modelled financial risk at BARRA (now MSCI) & S&P Capital IQ.Prior to joining Agnostiq, Ian was the Modelling Lead with the Canadian Securities Transition Office (CSTO), advising the federal government, & building economic, econometric, network & agent-based models for systemic risk.