Google Achieves Quantum Supremacy with Sycamore Processor

Quantum Supremacy Achieved with Programmable Superconducting Processor
This post details Google AI Quantum's groundbreaking achievement of quantum supremacy using a novel 54-qubit processor named Sycamore. The research, published in Nature, marks a significant milestone in the decades-long quest to harness the power of quantum computing.
The Challenge and the Goal
For over 30 years, the potential of quantum computing has been discussed, but practical utility and investment viability remained open questions. To address this, the Google AI Quantum team set a decisive short-term goal: to demonstrate quantum supremacy. This experiment served as a critical benchmark to validate their engineering progress and confirm that their quantum systems were heading in the right direction.
The Quantum Supremacy Experiment
The experiment was designed around a sensitive computational benchmark that would fail if any component of the quantum computer was not performing optimally. The team tested their new processor by running random quantum circuits, gradually increasing the number of qubits and circuit depth. They compared the processor's performance against classical simulations and theoretical models.
Key Findings:
- The Sycamore processor, with its 54 qubits, executed a specific computational task in 200 seconds.
- Classical supercomputers, even the world's fastest, would require an estimated 10,000 years to produce a similar output.
- This achievement represents the first experimental challenge to the extended Church-Turing thesis, which posits that classical computers can efficiently simulate any reasonable model of computation.
The Sycamore Processor
The Sycamore processor is a fully programmable, 54-qubit device featuring a two-dimensional grid architecture. Each qubit is connected to four others, enabling rapid interaction across the processor and making emulation by classical computers computationally infeasible.
Technological Advancements:
- High-Fidelity Two-Qubit Gates: Significantly improved performance and parallelism.
- Interaction Control: A new control mechanism allows for turning off interactions between neighboring qubits, reducing errors in a multi-connected system.
- Optimized Design: Reduced crosstalk and new control calibrations to mitigate qubit defects.
- Forward Compatibility: The architecture is designed for future implementation of quantum error correction.
Testing the Limits of Quantum Mechanics
To ensure the future utility of quantum computers, the team also rigorously tested the fundamental principles of quantum mechanics. Experiments were conducted on a scale far exceeding previous tests (up to 10 quadrillion state-space dimensions), confirming that quantum mechanics behaves as expected in these extreme regimes. Measurements of two-qubit gate errors accurately predicted the benchmarking results, indicating no unexpected physics hindering performance.
Applications and Future Directions
The Sycamore processor is capable of running general-purpose quantum algorithms. Beyond the supremacy demonstration, the team is exploring near-term applications in:
- Quantum Physics Simulation
- Quantum Chemistry
- Generative Machine Learning
A notable new application is certifiable quantum randomness, which provides a verifiable source of randomness crucial for computer science.
Future Objectives:
- Accessibility: Making supremacy-class processors available to external collaborators, researchers, and companies to foster algorithm development and application discovery for NISQ (Noisy Intermediate-Scale Quantum) processors.
- Fault Tolerance: Accelerating the development of fault-tolerant quantum computers, which promise significant advancements in areas like materials science (e.g., lightweight batteries, efficient catalysts), and medicine (e.g., drug discovery).
Acknowledgements
The project benefited from collaborations with institutions such as the University of California Santa Barbara, NASA Ames Research Center, Oak Ridge National Laboratory, and Forschungszentrum Jรผlich.
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Image: Artist's rendition of the Sycamore processor mounted in the cryostat and a photograph of the Sycamore processor.
Original article available at: https://research.google/blog/quantum-supremacy-using-a-programmable-superconducting-processor/