Arline announced the release of Arline Benchmarks which is the first open-source automated benchmarking platform for quantum compilers! The name was given to the honour of Arline Greenbaum, the first wife of Richard Feynman, one […]
Researchers at Google’s AI Quantum team have used a quantum computer to simulate a chemical reaction, the Hartree-Fock approximation of a real chemical system, for the first time. The reaction is a simple one, but this marks […]
BBVA is closely following through various lines of research aimed at exploring applications of quantum computing in the world of finance. As part of this work, and in collaboration with Spanish startup Multiverse, the joint research team […]
Scientists at the U.S. Department of Energy’s (DOE) Argonne National Laboratory have developed a new algorithm based on reinforcement learning to find the optimal parameters for the Quantum Approximate Optimization Algorithm (QAOA). QAOA allows a quantum computer […]
Researchers at Chicago Quantum continue to investigate the use of quantum computers in Finance. They have now looked for building an optimal portfolio out of a universe of 60 U.S. listed, liquid equities. Starting from […]
Researchers at the University of Sussex have created an algorithm that speeds up the rate of calculations in the early quantum computers which are currently being developed. They have created a new way to route […]
Researchers at IBM T. J. Watson Research Center discovered unexpectedly a new mathematical proof of quantum advantage – the elusive threshold at which quantum computers outperform classical machines in certain use cases. They study shows […]
Computer scientists at UCLA have shown that existing compilers, which tell quantum computers how to use their circuits to execute quantum programs, inhibit the computers’ ability to achieve optimal performance. Specifically, their research has revealed […]
Boltzmann machine is a powerful tool for modeling probability distributions that govern the training data. A thermal equilibrium state is typically used for Boltzmann machine learning to obtain a suitable probability distribution. The Boltzmann machine […]
Variational quantum eigensolver (VQE) emerged as a first practical algorithm for near-term quantum computers. Its success largely relies on the chosen variational ansatz, corresponding to a quantum circuit that prepares an approximate ground state of […]