Using fungal electrical activity for computing

Materials have a variety of properties that can be used to solve computational problems, according to studies in substrate-based computing.BZ computers, slime mold computers, plant computers, and collision-based liquid marbles ...

Solving 'barren plateaus' is the key to quantum machine learning

Many machine learning algorithms on quantum computers suffer from the dreaded "barren plateau" of unsolvability, where they run into dead ends on optimization problems. This challenge had been relatively unstudied—until ...

Solving materials problems with a quantum computer

Quantum computers have enormous potential for calculations using novel algorithms and involving amounts of data far beyond the capacity of today's supercomputers. While such computers have been built, they are still in their ...

Fifty perfect photons for 'quantum supremacy'

Fifty is a critical number for quantum computers capable of solving problems that classic supercomputers cannot solve. Proving quantum supremacy requires at least 50 qubits. For quantum computers working with light, it is ...

Machine learning to scale up the quantum computer

,,Quantum computers are expected to offer tremendous computational power for complex problems –currently intractable even on supercomputers—in the areas of drug design, data science, astronomy and materials chemistry ...

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