A team of researchers from D-Wave, NASA Ames Research Center and University of Florence has successfully employed D-Wave quantum annealers as Boltzmann samplers to perform quantum-assisted, end-to-end training of QVAE (Quantum Variational AutoEncoder). The development […]
The Fermi-Hubbard model is of fundamental importance in condensed-matter physics, yet is extremely challenging to solve numerically. Finding the ground state of the Hubbard model using variational methods has been predicted to be one of […]
Current quantum computer technology is still too noisy and imperfect to construct a universal digital quantum computer with quantum error correction. Inspired by the evolution of classical computation, an alternative paradigm merging the flexibility of […]
Quantum Machines (QM), an Israeli startup, funded with $5.5 million by Battery Ventures and TLV Partners, has just revealed the Quantum Orchestration Platform (QOP), a full hardware and software solution, which is claimed as the […]
Researchers at the Department of Energy’s Oak Ridge National Laboratory have developed a quantum chemistry simulation benchmark to evaluate the performance of quantum devices and guide the development of applications for future quantum computers. The […]
Atos announces that it is continuing to enrich its quantum development ecosystem, through the creation of a global User Group of the Atos Quantum Learning Machine (QLM), which will be chaired by Henri Calandra, a representative from French […]
Google has used its Sycamore record-breaking quantum computer to achieve the biggest quantum chemistry simulation ever. The team modeled the behavior of a long chain of hydrogen atoms. The simulation of large molecules is one of the […]
Interesting article from Tennin Yan, QunaSys CEO & Co-founder. The startup is developing quantum computer algorithms and applications. As he states, a quantum computer simulator is an essential tool for quantum algorithm research. Most researchers […]
Researchers at Freie Universität Berlin and Rice University, Texas, reviewed recent ML (Machine Learning) methods for molecular simulation, with particular focus on (deep) neural networks for the prediction of quantum-mechanical energies and forces, coarse-grained molecular […]
Scientists at Singapore University of Technology and Design and others researchers in China propose a hybrid quantum-classical convolutional neural network (QCCNN), inspired by convolutional neural networks (CNNs) but adapted to quantum computing to enhance the […]