Hardware

Google once again breakthrough in the quantum computer, released 72 qubits processor

According to a 9to5google foreign media report, Google Quantum Artificial Intelligence Laboratory announced the advent of the Bristlecone quantum processor, which “provides a more convincing proof of principle for building larger quantum computers.”

Quantum computing is often referred to as a frontier in the technology industry and is expected to dramatically improve the computational performance of the device. But the field is still in its early stages of development and many companies are exploring this area.

Quantum computing is the intersection of computer science and quantum physics. The current computer still relies on the Boolean logic system to operate, the Boolean type has only two values: true and false.

Quantum computing refers to a new design of hardware and software at the algorithmic level by replacing the Boolean logic system with quantum laws. For optimization, sampling, search or quantum simulation and other operations, quantum computing technology is expected to significantly improve the speed of operation.

At a meeting of the American Physical Society in Los Angeles, Google claimed that the Bristlecone processor could serve as a “test platform to study system error rates and the scalability of qubit technology, as well as in quantum simulation, optimization and machine learning.”

The Bristlecone processor has 72 qubits and “low error rates for data reads and logic operations such as single-quantum and double-qubit gates.”

Quantum hegemony is a quantum leap ahead of a traditional supercomputer when it comes to solving a well-defined computational science problem with a very low error-rate quantum processor.

However, no one has realized “quantum hegemony” yet. To achieve the goal of “quantum hegemony,” the required conditions are 49-qubit processors with circuit depths in excess of 40 and double-qubit bit errors less than 0.5%.

Google pointed out that cautiously optimistic, Bristlecone processor can achieve “quantum hegemony.” Quantum AI Lab says the integration of hardware and software is a key part of this process and may require “several iterations” before quantum computing can solve the problems that computers can not solve today.