Methods for electronic structure based on Gaussian and molecular orbital discretizations offer a well established, compact representation that forms much of the foundation of correlated quantum chemistry calculations on both classical and quantum computers. Despite
Quantum-Kit is a graphical desktop application for quantum circuit simulations. Its powerful, memory-efficient computational engine enables large-scale simulations on a desktop. The ability to design hybrid circuits, with both quantum and classical bits and controls,
Quantum circuits constructed from Josephson junctions and superconducting electronics are key to many quantum computing and quantum optics applications. Designing these circuits involves calculating the Hamiltonian describing their quantum behavior. Mario Gely, in the group of Gary
A growing number of quantum technology firms are raising cash from private investors and VCs, particularly in the sector of quantum computing and quantum software. According to an analysis by Nature, private investors had funded at
Although several models have been proposed towards assisting machine learning (ML) tasks with quantum computers, a direct comparison of the expressive power and efficiency of classical versus quantum models for datasets originating from real-world applications
We have just sadly been told that Peter Wittek has gone missing on a Himalaya expedition. Peter has been one of the most influential member of the quantum machine learning community. We hope he’ll be
Solving linear systems of equations is central to many engineering and scientific fields. Several quantum algorithms have been proposed for linear systems, where the goal is to prepare |x⟩ such that A|x⟩∝|b⟩. While these algorithms are promising, the
