Predicting the behavior of many interacting quantum particles is a complicated process but is key to harness quantum computing for real-world applications. Researchers have developed a method for ...
The traveling salesman problem is considered a prime example of a combinatorial optimization problem. Now a Berlin team led by theoretical physicist Prof. Dr. Jens Eisert of Freie Universität Berlin ...
Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...
New landmark peer-reviewed paper published in Science, “Beyond-Classical Computation in Quantum Simulation,” unequivocally validates D-Wave’s achievement of the world’s first and only demonstration of ...
Right now, quantum computers are small and error-prone compared to where they’ll likely be in a few years. Even within those limitations, however, there have been regular claims that the hardware can ...
CHICAGO — Think of a corn maze as a problem. Think of the people in the maze as traditional computers trying to solve the problem. They’re limited to attempting one route at a time. That’s one way of ...
The company is establishing itself as an integral player in this emerging technology.
TL;DR: A California-based startup, D-Wave, has achieved quantum computational supremacy by solving a complex materials simulation problem beyond the reach of classical computers. Their annealing ...
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