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 ...
Quantum computing could lead to revolutions in cryptography, materials design and telecommunications. But fulfilling those promises could be many years away ...
Strongly interacting systems play an important role in quantum physics and quantum chemistry. Stochastic methods such as Monte Carlo simulations are a proven method for investigating such systems.
A team of researchers at the University of Waterloo have made a breakthrough in quantum computing that elegantly bypasses the fundamental "no cloning" problem. The research, "Encrypted Qubits can be ...
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 ...
Magnetic materials are used to make MRI machines, hard drives, wireless chargers, and phone speakers. It takes a lot of expensive research and development to create new materials. “And there’s no ...
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