Google’s Quantum AI Reaches Major Milestone in 2023

Google’s 72 Qubit Processor Sycamore Demonstrates Quantum Advantage

In a major milestone in the quest for practical quantum computing, Google announced in March 2023 that its AI Quantum laboratory in Santa Barbara has achieved quantum advantage using a 72 qubit quantum processor called Sycamore. This demonstration of quantum supremacy marks a significant step forward for Google’s quantum AI computing efforts.

What is Quantum Advantage?

Quantum advantage refers to the point where a quantum computer can solve a problem that is practically impossible for even the most powerful classical supercomputers in a reasonable amount of time.

By achieving quantum advantage on a specific sampling task using Sycamore, Google has shown for the first time that we have reached this milestone where a quantum computer can outperform a classical computer.

Details of Google’s Achievement

The quantum advantage demonstration used Sycamore, a 72 qubit quantum processor with 53 functioning qubits. It performed a task called random circuit sampling in 200 seconds.

To simulate and verify Sycamore’s results, Google used the Summit supercomputer at Oak Ridge National Lab, currently the world’s most powerful supercomputer. Summit would take around 10,000 years to perform the same sampling task that Sycamore can do in 200 seconds.

This effectively proves that Sycamore can solve this sampling problem faster than any existing classical supercomputer. Google has published a paper detailing its experiment in the journal Nature.

Why Google’s Quantum AI Advantage is Significant

While the sampling task itself has limited practical applications, this result has enormous implications for the field of quantum computing and artificial intelligence.

1. Proof that Quantum Computers Can Outperform Classical Computers

By demonstrating an unambiguous quantum advantage, Google has proven that we can build quantum computers that are faster than classical systems for at least some specific problems. This shatters doubts that quantum computers might not ever work as expected.

2. Validation of Quantum Supremacy as a Milestone

The concept of quantum advantage or supremacy has been hypothetical until now. Google’s Sycamore experiment validates it as a real milestone on the quantum computing roadmap.

3. Shows Path to Building Larger, More Powerful Qubit Systems

To have practical applications, quantum computers will need to scale to thousands of logical qubits with low error rates. Google’s Sycamore proves that the techniques used to build it can be scaled up further.

4. Major Implications for Quantum Artificial Intelligence

Quantum computing is expected to enable new quantum machine learning and artificial intelligence breakthroughs. Google’s achievement shows that quantum AI may soon become a reality.

What Comes Next After Quantum Advantage?

While an impressive achievement, Google’s quantum AI, Sycamore advantage demonstration is still a long way from unleashing the full potential of quantum computing. Here are the next steps needed in the quantum computing journey:

1. Building Larger Qubit Systems

To tackle real-world problems, quantum computers will need to scale to hundreds, thousands or even millions of qubits from the 72 qubit Sycamore.

2. Improving Qubit Interconnectivity

Connecting large numbers of qubits efficiently remains a challenge. The connectivity between qubits needs to improve drastically.

3. Advances in Quantum Error Correction

Reducing errors in quantum operations will require major advances in quantum error correcting codes and other techniques.

4. Developing Full-Stack Quantum Software

To utilize future quantum computers, improved software, compilers and algorithms tailored for quantum systems need to be developed.

5. Applications Development and Testing

Real-world use cases and killer applications that demonstrate quantum advantage over classical computers need to be explored and developed.

The Future of Quantum Computing after Quantum Advantage

Google’s quantum AI advantage result does not mean quantum computing is ready for practical use yet. But it definitively proves we are on the right path.

Within the next decade, we can expect larger qubit quantum computers that can solve meaningful problems in quantum chemistry, artificial intelligence, financial modeling and more.

When the full potential of quantum computing is realized, it will revolutionize many industries and enable us to solve problems we cannot even conceive today. Google’s breakthrough result takes us one step closer to that future.


Google’s demonstration of quantum advantage with its Sycamore processor marks a verifiable milestone in the pursuit of quantum computing. By definitively performing a task faster than the world’s most powerful supercomputers, Google has crossed an important quantum computing milestone.

The Sycamore processor validates that quantum systems can outpace classical ones and shows a promising path toward building larger qubit systems. Realizing the full potential of quantum computing remains a difficult engineering challenge still. But Google’s quantum AI advantage result provides hope that we can make quantum computing practical in the years ahead.


What is quantum advantage?

Quantum advantage refers to a quantum computer’s ability to solve a problem much faster than even the most powerful classical supercomputers. Google has demonstrated this for the first time using its Sycamore processor.

What problem did Google’s Sycamore quantum computer solve?

Sycamore performed random circuit sampling with 53 functioning qubits. This specific sampling task would take the world’s most powerful supercomputer around 10,000 years.

How many qubits does Google’s Sycamore have?

Sycamore is a 72 qubit processor, but only 53 qubits were operational for the quantum advantage experiment.

Has quantum advantage been proven before?

No, Google’s result with Sycamore is the first unambiguous demonstration of quantum advantage over classical supercomputers.

Does this mean quantum computers can now solve all problems faster?

No, Sycamore performed a narrow sampling task. We are still years away from general purpose quantum computing applications. But this is a major milestone.

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