Implementation of Tensor Neural Networks

Tensor networks are a quantum inspired technique that provide useful mechanisms for solving hard problems, usually in the realm of quantum mechanics and many-body systems, through the manipulation and operation of tensors. The main challenge underlying this project is the productionalization of a quantum-inspired deep learning algorithm which currently exists as a proof of concept (POC). That POC was specifically built for a single user’s needs, applied to the fair pricing of financial derivatives.

Faculty Supervisor:

Hausi Müller

Student:

Partner:

Multiverse Computing

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

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