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Perspective Quantum #10 : Getting Started with Hybrid Classical and Quantum Workflows with Covalent

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Perspective Quantum #10 : Getting Started with Hybrid Classical and Quantum Workflows with Covalent

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April 6, 2022 10:00 PM

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April 6, 2022 12:00 PM

Date

April 6, 2022 10:00 PM

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April 6, 2022 12:00 PM

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Perspective Quantum #10 : Getting Started with Hybrid Classical and Quantum Workflows with Covalent

En collaboration avec ISEQ, COPL, Québec Quantique, Optonique et NUMANA, l'INTRIQ  vous invite le mercredi 6 avril dès 10h00 au 10e webinaire de la série Perspective Quantum avec M. Santosh Radha et M.Ian Buckley de la compagnie torontoise Agnostiq. Ils présenteront alors Getting Started with Hybrid Classical and Quantum Workflows withCovalent.

Programmation :
10 h 00 – Réseautage
10 h 30 – Mot d’ouverture par Nicolas Godbout, Professeur à Polytechnique Montréal et directeur de l’INTRIQ
10 h 35 – Getting Started withHybrid Classical and Quantum Workflows with Covalent (webinaire en anglais)
11 h 25 – Mot de clôture
11 h 30 – Réseautage
12 h 00 – Fin

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.

1. https://github.com/AgnostiqHQ/covalent

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.

Perspective Quantum #10 : Getting Started with Hybrid Classical and Quantum Workflows with Covalent

In collaboration with ISEQ, COPL, Québec Quantique, Optonique and NUMANA, INTRIQ invites you to attend on April 6th to the 10th webinar of the Perspective Quantum series with Mr Santosh Radha and MrIan Buckley of the Toronto based Agnostiq. They will present Getting Started with Hybrid Classical and Quantum Workflows withCovalent.

Schedule :
10:00 AM - Networking
10:30 AM - Opening remarks by Nicolas Godbout, Professor at Polytechnique Montreal and Director of INTRIQ
10:35 AM  - Getting Started withHybrid Classical and Quantum Workflows with Covalent
11:25 AM - Closing remarks
11:30- 12:00 -Networking

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.

1. https://github.com/AgnostiqHQ/covalent

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

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

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.

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