  A promising area of applications for quantum computing is in linear algebra
problems. In this work, we introduce two new quantum t-SVD (tensor-SVD)
algorithms. The first algorithm is largely based on previous work that proposed
a quantum t-SVD algorithm for context-aware recommendation systems. The new
algorithm however seeks to address and fix certain drawbacks to the original,
and is fundamentally different in its approach compared to the existing work.
The second algorithm proposed uses a hybrid variational approach largely based
on a known variational quantum SVD algorithm.
