Quantum computer benchmarking is a key problem because computational performance can be enhanced by error detection and correction, rather than extending hardware.
With tensor factorization algorithms, classical computational costs of quantum simulation scale polynomially. This is the most efficient framework in this field today.
After the completion of this project, we will have optically produced quantum bits stable at room temperature, which can be manipulated by optical means and entangled states can be created.
We develop quantum protocols and algorithms optimized for the so-called noisy intermediate-scale quantum solutions, the state-of-the art type of early quantum computers available today.