Cryogenic In-Memory Matrix-Vector Multiplication using Ferroelectric Superconducting Quantum Interference Device (FE-SQUID).
Shamiul AlamJack HutchinsMd. Shafayat HossainKai NiVijaykrishnan NarayananAhmedullah AzizPublished in: DAC (2023)
Keyphrases
- sparse matrix
- matrix multiplication
- eigenvalues and eigenvectors
- finite element
- matrix representation
- rows and columns
- magnetic field
- linear algebra
- floating point
- memory requirements
- linearly independent
- transformation matrix
- vector space
- memory usage
- main memory
- quantum inspired
- quantum mechanics
- quantum computing
- quantum probability
- symmetric matrices
- high temperature
- neural network
- dot product
- weight matrix
- limited memory
- high speed
- feature vectors
- logic circuits
- read write
- covariance matrix