gCANS is a cutting-edge quantum algorithm used for stochastic gradient descent. This algorithm is designed to adaptively allocate shots for each gradient component measured at every iteration. With the help of advanced technology, gCANS offers an efficient way to allocate shots based on a criterion that reflects the overall shot cost for the iteration.
What Makes gCANS Unique?
The unique aspect of gCANS is that it optimizes the use of quantum resources. It does so by adaptively distributing t
Variational Entanglement Detection: An Overview
If you have ever watched an action-packed science fiction movie or read a futuristic novel, you have likely come across the term "quantum entanglement." This phenomenon involves two or more quantum particles that can be linked in a peculiar way, despite being separated by great distances. When two particles are entangled, their states become correlated, which means that whatever happens to one particle affects the other, regardless of the distance
Variational Trace Distance Estimation, or VTDE, is an innovative algorithm that efficiently estimates the trace norm by using a single ancillary qubit. This unique algorithm is a significant breakthrough in quantum computing, and it can help to overcome the barren plateau issue with logarithmic depth parameterized circuits.
What is Variational Trace Distance Estimation (VTDE)?
VTDE is a quantum algorithm that can be used to estimate the trace norm of a matrix by utilizing a single ancillary q
Variational Quantum Singular Value Decomposition (VQSVD)
Variational Quantum Singular Value Decomposition (VQSVD) is a quantum algorithm that is used for singular value decomposition. Singular value decomposition is the process of breaking down a matrix into smaller matrices, making it easier to analyze. VQSVD is a variational algorithm, which means it employs optimization techniques to change the parameters of a quantum neural network or parameterized quantum circuit to learn the singular vect