Google's Sycamore quantum computer chip can now outperform the fastest supercomputers, new study suggests

A recent study highlights that Google's Sycamore, a 67-qubit quantum processor, now surpasses the most advanced supercomputers, entering a novel "weak noise phase" that enhances its computational capacity. Spearheaded by Alexis Morvan, this research, published on October 9 in Nature, showcases that quantum computers excel in certain areas where classical counterparts lag behind. These breakthroughs in quantum processing units (QPUs) signify the transition into a stable, computationally intricate phase, elevating their performance beyond classical supercomputers during particular calculations.

Despite the promise, quantum computing still faces the challenge of high noise data. Error rates persist, stemming from the intrinsic noise of qubits—highly sensitive elements susceptible to environmental disturbances. Approximately one in every 100 qubits encounters failure compared to one in a billion classical bits. As such, achieving "quantum supremacy" remains beyond reach without cutting-edge error-correction technologies or quantum computers boasting millions of qubits; currently, machines exhibit around 1,000 qubits max.

To assess their capabilities, Google scientists employed random circuit sampling (RCS), benchmarking the performance of supercomputing qubits amidst low-temperature conditions. The findings revealed qubits’ ability to transition to a "weak noise phase," achieving computations too complex for classical machines, as confirmed on Sycamore.

Google Quantum AI emphasizes progressing towards practical implementations unattainable by classical computers as pivotal. Indeed, this development marks a milestone toward meaningful applications with real-world impact, underscoring that successful RCS benchmark achievement indicates further potential in surpassing classical challenges.

Earlier, SSP wrote that Google removed Kaspersky Lab's Antivirus from Play Store due to US restrictions.