Name: Navigating Quantum and AI Career Trajectories: A Beginner’s Mini-Course on Computational Methods and their Applications
Start: 2024-05-21T08:00:00-04:00
End: 2024-05-24T17:00:00-04:00
Location: Perimeter Institute for Theoretical Physics

Navigating Quantum and AI Career Trajectories: A Beginner’s Mini-Course on Computational Methods and their Applications

from Tuesday, 21 May 2024 (08:00) to Friday, 24 May 2024 (17:00)

Monday, 20 May 2024
Tuesday, 21 May 2024

08:30 Registration
Registration
08:30 - 09:15

09:15 Opening Remarks
Opening Remarks
09:15 - 09:30
Room: PI/2-292 - Time Room
09:30 Quantum Machine Learning
Quantum Machine Learning
09:30 - 11:00
Room: PI/2-292 - Time Room
Contributions

09:30 Quantum Machine Learning - Alvaro Ballon Bordo (Xanadu)
11:00 Break
Break
11:00 - 11:30
Room: PI/1-124 - Lower Bistro
11:30 Restricted Boltzmann Machines (RBMs)
Restricted Boltzmann Machines (RBMs)
11:30 - 13:00
Room: PI/2-292 - Time Room
Contributions

11:30 Restricted Boltzmann Machines (RBMs) - Mohamed Hibat-Allah (Perimeter Institute for Theoretical Physics)
13:00 Lunch and free time (Lunch is NOT provided)
Lunch and free time (Lunch is NOT provided)
13:00 - 14:00

14:00 Quantum and AI ethics session - hosted by Quantum Ethics Project
Quantum and AI ethics session - hosted by Quantum Ethics Project
14:00 - 15:00
Room: PI/2-292 - Time Room

15:00 Break
Break
15:00 - 15:30
Room: PI/1-124 - Lower Bistro

15:30 Tutorial (Quantum Machine Learning)
Tutorial (Quantum Machine Learning)
15:30 - 17:00
Room: PI/2-292 - Time Room
Wednesday, 22 May 2024
09:30 Quantum Machine Learning
Quantum Machine Learning
09:30 - 11:00
Room: PI/2-292 - Time Room
Contributions

09:30 Quantum Machine Learning - Alvaro Ballon Bordo (Xanadu)
11:00 Break
Break
11:00 - 11:30
Room: PI/1-124 - Lower Bistro

11:30 Tutorial (RBMs)
Tutorial (RBMs)
11:30 - 13:00
Room: PI/2-292 - Time Room

13:00 Lunch and free time (Lunch is NOT provided)
Lunch and free time (Lunch is NOT provided)
13:00 - 14:00
14:00 Colloquium: Deeptech Commercialization through Entrepreneurial Capabilities - Elicia Maine
Colloquium: Deeptech Commercialization through Entrepreneurial Capabilities
- Elicia Maine
14:00 - 15:30
Room: PI/2-292 - Time Room Deeptech or science-based innovations often spend more than a decade percolating within academic and government labs before their value is recognized (Park et al., 2022). This development lag time prior to venture formation is only partly due to technological development hurdles. Because science-based inventions are often generic in nature (Maine & Garnsey, 2006), meaning that they have broad applicability across many different markets, the problem of identifying a first application requires the confluence of deep technical understanding with expert knowledge of the practice of commercialization. This process of technology-market matching is a critical aspect of the translation of science-based research out of the lab (Pokrajak 2021, Gruber and Tal, 2017; Thomas et al, 2020, Maine et al, 2015) and is often delayed by a lack of capacity to identify, prioritize and protect market opportunities. Typically, deeptech innovations can take 10-15 years of development, and tens (or even hundreds) of millions of dollars of investment to de-risk before a first commercial application (Maine & Seegopaul, 2016). Academics seeking to commercialize such inventions face the daunting challenge of competing for investment dollars in markets that are ill suited to the uncertainty and timescales of deep tech development. The time-money uncertainty challenge faced by science-based innovators is compounded by the fact that most of the scientists and engineers with the world-leading technical skills required to develop science-based inventions, lack innovation skills training, and so cannot navigate the complexities of early and pre-commercialization development critical to venture success. Some researchers, having developed a mix of technical and business expertise, have demonstrated a long-term ability to serially spin out successful ventures (Thomas et al., 2020). Entrepreneurial capabilities, which can be learned, enable scientist-entrepreneurs to play formative roles in commercialising lab-based scientific inventions through the formation of well-endowed university spin-offs. (Park et al, 2022; 2024). Commercialization postdocs, when supported by well designed training, stipends, and de-risking supports, can lead the mobilization of fundamental research along multiple commercialization pathways. Recommendations are provided for scholars, practitioners, and policymakers to more effectively commercialise deeptech inventions.
15:30 Break
Break
15:30 - 16:00
Room: PI/2-292 - Time Room
16:00 Panel discussion: Turning Invention into Innovation - Paul Smith Melissa Chee Jake Malliaros Raymond Laflamme Elicia Maine
Panel discussion: Turning Invention into Innovation
- Paul Smith
- Melissa Chee
- Jake Malliaros
- Raymond Laflamme
- Elicia Maine
16:00 - 17:30
Room: PI/3-394 - Skyroom Turning Invention into Innovation: Exploring Opportunities in Quantum and AI
Thursday, 23 May 2024
09:30 Quantum Machine Learning
Quantum Machine Learning
09:30 - 11:00
Room: PI/2-292 - Time Room
Contributions

09:30 Quantum Machine Learning - Alvaro Ballon Bordo (Xanadu)
11:00 Break
Break
11:00 - 11:30
Room: PI/1-124 - Lower Bistro
11:30 Recurrent Neural Networks (RNNs)
Recurrent Neural Networks (RNNs)
11:30 - 13:00
Room: PI/2-292 - Time Room
Contributions

11:30 Recurrent Neural Networks (RNNs) - Schuyler Moss (University of Waterloo)
13:00 Lunch and free time (Lunch is NOT provided)
Lunch and free time (Lunch is NOT provided)
13:00 - 14:00

14:00 Speed Networking Event
Speed Networking Event
14:00 - 15:00
Room: PI/2-251 - Upper Bistro

15:00 Break
Break
15:00 - 15:30
Room: PI/1-124 - Lower Bistro

15:30 Tutorial (Quantum Machine Learning)
Tutorial (Quantum Machine Learning)
15:30 - 17:00
Room: PI/2-292 - Time Room
Friday, 24 May 2024
09:30 Transformers
Transformers
09:30 - 11:00
Room: PI/2-292 - Time Room
Contributions

09:30 Transformers - Mohamed Hibat-Allah (Perimeter Institute for Theoretical Physics)
11:00 Break
Break
11:00 - 11:30
Room: PI/2-292 - Time Room

11:30 Tutorial (RNN wave functions)
Tutorial (RNN wave functions)
11:30 - 13:00
Room: PI/2-292 - Time Room

13:00 Concluding Remarks
Concluding Remarks
13:00 - 13:15
Room: PI/2-292 - Time Room