Grants and Contributions:
Title:
Quantum Variational Autoencoders for Particle Detector Simulation at the Large Hadron Collider
Agreement Number:
1003270
Agreement Value:
$405,900.00
Agreement Date:
Mar 23, 2023 - Mar 31, 2026
Description:
The project team will utilize a quantum annealing processors for replacing the computationally expensive first-principles simulation with synthetic data generated by a quantum-assisted Machine Learning model – the Quantum Variational Autoencoder (QVAE). Simulated data enables the analysis of the real data at the Large Hadron Collider (LHC). The LHC, and the experiments that capture and analyze proton-proton collisions produced by the LHC, ATLAS and CMS, are a global scientific effort that resulted in the discovery of the Higgs Boson and the awarding of the 2013 Nobel prize in Physics. This quest continues now to study the Higgs Boson and search for new discoveries, but the cost of generating simulated data threatens the physics reach of upcoming upgrades to the LHC. The QVAEs combine deep encoder and decoder neural networks with a Quantum Boltzmann Machine implementing the latent space – a hidden representation of the data. This latent space can be efficiently sampled utilizing Quantum Annealing devices, creating plentiful and fast simulations of particles and their interactions with the detector.
Organization:
National Research Council Canada
Expected Results:
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.
Location:
Vancouver, British Columbia, CA V6T 2A3
Reference Number:
172-2022-2023-Q4-1003270
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
745884338
Recipient Type:
Not-for-profit organization or charity
Additional Information:
This agreement has been amended 1 time(s). The end date of this agreement has been modified by 365 days.
Amendment Date
Dec 10, 2024
Recipient's Legal Name:
Triumf
Federal Riding Name:
Vancouver Quadra
Federal Riding Number:
59040
Program:
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Purpose:
Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.
NAICS Code:
541710
Amendments: