Google’s Processor Achieves Quantum Supremacy

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In a groundbreaking development that could revolutionize computing, Google has achieved a major milestone in quantum supremacy with its latest 70 qubit quantum processor. The tech giant’s researchers claim their quantum computer can execute a complex calculation in just 200 seconds that would take the world’s fastest classical supercomputer over 47 years to complete.

This latest breakthrough builds on Google’s previous quantum supremacy claim in 2019, when its 53 qubit Sycamore processor performed a task in 200 seconds that would take the most advanced supercomputers 10,000 years. The new 70 qubit system represents a significant leap in quantum computing power, with the researchers estimating it is approximately 241 million times more powerful than the earlier 53 qubit version.The experiment, detailed in a paper published on the arXiv preprint server, involved sampling the results of random quantum circuit operations. While the task itself has little practical application, it serves as a proof-of-principle demonstration of quantum supremacy – the ability of a quantum computer to outperform classical computers on certain types of calculations.”Quantum computers hold the promise of executing tasks beyond the capability of classical computers,” the Google researchers stated in their paper. “We estimate the computational cost against improved classical methods and demonstrate that our experiment is beyond the capabilities of existing classical supercomputers.”

The immense power of quantum computers stems from the unique properties of quantum bits, or qubits. Unlike classical bits which can only exist in a state of 0 or 1, qubits can exist in a quantum superposition of both states simultaneously. This allows quantum computers to process an exponentially larger number of possibilities in parallel.

For example, two qubits can represent four states (00, 01, 10, 11) at once, three qubits can represent eight states, and so on. This massive parallelism is what enables quantum computers to tackle certain problems, like factoring large numbers or simulating chemical reactions, far more efficiently than classical computers.

However, building a practical, error-corrected quantum computer remains an immense challenge. Qubits are extremely fragile and prone to errors from environmental interference. As more qubits are added, the error rate typically increases, limiting the size and complexity of quantum circuits.

Google’s latest breakthrough demonstrates a new technique called quantum error correction that allows increasing the number of qubits without raising the error rate. By grouping individual qubits into logical units of 49, the researchers were able to build a more powerful 70 qubit processor with lower error rates than previous designs.

“This breakthrough is the first demonstration of a logical qubit prototype, showing that it’s possible to reduce errors by increasing the number of qubits in a scheme known as quantum error correction,” Google’s Quantum AI team stated.

While still far from a practical, general-purpose quantum computer, Google’s achievement represents a major milestone on the path to realizing the immense potential of quantum computing. Potential applications include accelerating drug discovery, designing more efficient batteries and materials, optimizing complex logistics and supply chains, and even modeling the complex physics of fusion power.

However, the road ahead remains long and challenging. Experts caution that Google’s quantum supremacy claim, while impressive, still relies on a highly specialized task with no real-world use case. Significant further research and engineering breakthroughs will be needed to build a quantum computer capable of solving practical problems faster than classical supercomputers.

Nevertheless, Google’s latest quantum computing milestone has once again captured the world’s attention and underscores the rapid progress being made in this cutting-edge field. As the race to build the first practical quantum computer heats up, the potential rewards for the winner are immense – a transformative leap in computing power that could unlock new scientific discoveries and revolutionize entire industries.

 

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