Google Quantum AI and Keysight joined forces to enhance Quantum circuit simulations with frequency-domain flux quantization In the realm of superconducting quantum circuits, accurately modeling ...

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms.

How engineers could use time crystals in quantum circuit boards to significantly reduce errors and overcome major challenges in quantum computing.

Researchers have developed a new quantum circuit design that could reduce energy consumption in computing by up to 51%.

Zuchongzhi-3, a superconducting quantum computing prototype with 105 qubits and 182 couplers, has made significant advancements in random quantum circuit sampling. This prototype was successfully ...