A team of engineers, physicists and quantum specialists at Google Research has found that reducing noise to a certain level allows the company's sycamore quantum chip to beat classical computers ...

Evidence that a quantum computer can solve a problem faster than a classical computer – quantum advantage – is therefore a key measure of success. The first claim of quantum advantage came in 2019, ...

In fact, random circuit sampling – in which all qubits are initialized in a given state and allowed to evolve via quantum gates before having their states measured at the output – is often used to ...

To generate certified randomness, the team used a method called random circuit sampling, or RCS. The idea is to feed the quantum computer a series of tough problems, known as challenge circuits.

To create their random number, the researcher used a technique called random circuit sampling. It essentially leans on quantum computing (which operates under different rules than classical computing ...

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 ...

This challenge has now been addressed by leveraging random circuit sampling (RCS) to generate certified randomness. Randomness is an essential resource for many applications in areas such as ...

Schematic diagram of the Zuchongzhi-3 chip. 105 qubits and 182 couplers are integrated on the same chip to perform quantum random circuit sampling tasks. Credit: USTC Schematic diagram of the ...

Zuchongzhi-3, a superconducting quantum computer prototype with 105 readable qubits and 182 couplers has been unveiled by Chinese scientists who claim it processes quantum random circuit sampling ...

According to a statement from JPMorganChase, the researchers leveraged a task originally designed to demonstrate quantum advantage, known as Random Circuit Sampling (RCS), to perform a certified ...

For instance, Google’s groundbreaking Sycamore processor created a benchmark in 2019 by completing a random circuit sampling task in 200 seconds – a task that would have taken about 10,000 ...