Matrix-model simulations using quantum computing, deep learning, and lattice monte carlo
Matrix quantum mechanics plays various important roles in theoretical physics, such as a
holographic description of quantum black holes, and it underpins the only practical …
holographic description of quantum black holes, and it underpins the only practical …
Unsupervised strategies for identifying optimal parameters in quantum approximate optimization algorithm
As combinatorial optimization is one of the main quantum computing applications, many
methods based on parameterized quantum circuits are being developed. In general, a set of …
methods based on parameterized quantum circuits are being developed. In general, a set of …
Optimized low-depth quantum circuits for molecular electronic structure using a separable-pair approximation
We present a classically tractable model that leads to optimized low-depth quantum circuits
leveraging separable-pair approximations. The obtained circuits are well suited as a …
leveraging separable-pair approximations. The obtained circuits are well suited as a …