New computing algorithms expand the boundaries of a quantum future

Quantum computing promises to harness the strange properties of quantum mechanics in machines that will outperform even the most powerful supercomputers of today. But the extent of their application, it turns out, isn't entirely ...

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 ...

Applying quantum computing to a particle process

A team of researchers at Lawrence Berkeley National Laboratory (Berkeley Lab) used a quantum computer to successfully simulate an aspect of particle collisions that is typically neglected in high-energy physics experiments, ...

Rethinking spin chemistry from a quantum perspective

Researchers at Osaka City University use quantum superposition states and Bayesian inference to create a quantum algorithm, easily executable on quantum computers, that accurately and directly calculates energy differences ...

CCNY team in quantum algorithm breakthrough

Researchers led by City College of New York physicist Pouyan Ghaemi report the development of a quantum algorithm with the potential to study a class of many-electron quantums system using quantum computers. Their paper, ...

Quantum leap for speed limit bounds

Nature's speed limits aren't posted on road signs, but Rice University physicists have discovered a new way to deduce them that is better—infinitely better, in some cases—than previous methods.

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