Quantum algorithm could help AI think faster Researchers present a quantum speed-up for machine learning Date: February 2, 2018 Source: Centre for Quantum Technologies at the National University ...

When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a ...

Specially designed quantum algorithms, which are lists of operations — analogous to a cooking recipe — that tell a computer to do something can further speed up calculations to accelerate scientific ...

Qunova therefore estimates that its algorithm has the potential to deliver a quantum advantage for chemical computations, over classical computers, using a NISQ machine with as few as 40-60 qubits.

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do so for some critical optimization tasks.

When quantum computers become powerful enough, they could theoretically crack the encryption algorithms that keep us safe. The race is on to find new ones.

Random circuit sampling, a popular technique for showing the power of quantum computers, doesn’t scale up if errors go unchecked.

Recently, [Jabrils] set out to accomplish a difficult task: porting a quantum-inspired algorithm to run on a (simulated) quantum computer. Algorithms are often inspired by all sorts of natural phen… ...

Their paper, published in Nature Physics, introduces a new quantum algorithm that simulates natural cooling processes, which was successfully used to predict the local minima of quantum many-body ...