He calls the back and forth between the quantum- and classical-computing communities a “symbiotic relationship,” in which the two sides challenge each other by developing ever-more sophisticated ...

Quantum computer succeeds where a classical algorithm fails Quantum computers coupled with traditional machine learning show clear benefits.

The introduction of MicroAlgo's Classical Boosted Quantum Optimization Algorithm (CBQOA) marks the dawn of a new era in the fusion of quantum and classical computing for optimization.

Seeking to reduce the computing power needed for the widely used dynamic mode decomposition algorithm, a team of researchers in China led by Guo-Ping Guo developed a quantum-classical hybrid algorithm ...

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.

Tang’s discovery of a powerful new machine-learning algorithm for classical computers upended assumptions about computing challenges that were thought to require quantum computers.

Quantum computers promise enormous computational power, but the nature of quantum states makes computation and data ...

Our classical algorithm, based on Metropolised independence sampling, allowed the boson sampling problem to be solved for 30 photons with standard computing hardware.

Physicists have introduced an approach for simulating the quantum approximate optimization algorithm using a traditional computer. Instead of running the algorithm on advanced quantum processors, the ...

Amazon Web Services Inc. is trying to make quantum computing more accessible with the launch of Amazon Braket Hybrid Jobs today. Announced at re:Invent 2021, it’s a new feature with its Amazon Braket ...