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Revolutionary Quantum Computer from China Breaks AI Speed Record – 180 Million Times Faster!

Revolutionary Quantum Computer from China Breaks AI Speed Record – 180 Million Times Faster!

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Quantum Computer Jiuzhang Solves AI Problem Faster than Any Classical Supercomputer

In a landmark achievement, Chinese researchers have claimed that their Jiuzhang quantum computer solved an AI problem faster than any classical supercomputer. The experiment used Jiuzhang to solve a problem that had previously challenged classical computers, using over 200,000 samples to solve the problem. In contrast, the fastest classical supercomputer would take around five years to process the same number of samples, but Jiuzhang took less than a second.

Implementing Two Algorithms in AI

The researchers used the quantum computer to implement and accelerate two algorithms, random search and simulated annealing, which are commonly used in the field of AI. This marked the first time that such an achievement had been accomplished using a quantum computer.

Quantum Computer Advantages over Classical Computers

The result of this experiment means that noisy quantum computers now offer an advantage over classical computers in an extended list of tasks. The editor for Physics declared this in a synopsis article published by the American Physical Society’s report on papers from the Physical Review journals.

Quantum Advantage over Classical Algorithms

The article in Physics went on to say that with the Jiuzhang quantum processor’s success, previous claims of quantum advantage had been challenged by suggestions that the quantum computer was not competing against the best-possible classical algorithm for the task. An open question remains on whether the Jiuzhang processor will have an edge over classical algorithms optimized for solving graph problems.

What Makes a Quantum Computer Different from Classical Computers?

In traditional computing, a bit represents either a zero or a one as its basic unit of information. In contrast, a qubit can represent zero, one, or both at the same time. Qubits can represent all possibilities simultaneously, making them theoretical faster and more powerful than traditional computers. However, their subatomic particles are fragile, short-lived and prone to error if exposed to even a slight disturbance from the surroundings. Most quantum computers operate in extremely cold and isolated environments to prevent disruption.

Jiuzhang’s Unique Approach

Jiuzhang differs from other quantum computers, as it uses light as the physical medium for calculation. This means that it does not require working sealed in extremely low temperatures and can operate with stability for longer periods.

Conclusion

The success of the Jiuzhang quantum computer in solving an AI problem faster than any classical supercomputer marks a hallmark achievement in the field of quantum computing. This success has extended the tasks for which quantum computers offer an advantage over classical computers. Researchers worldwide will undoubtedly continue to test and optimize quantum computers for the practical application of classical computers.

FAQ

What problem did the Jiuzhang quantum computer solve?

The Jiuzhang quantum computer solved an AI problem that was previously challenging for classical computers using over 200,000 samples to solve the problem.

What algorithms were used in this experiment?

The researchers used the quantum computer to accelerate two algorithms, random search and simulated annealing, which are commonly used in the field of AI.

Did the Jiuzhang quantum computer have an advantage over classical computers?

Yes, the success of Jiuzhang marked the first time a quantum computer had an advantage over classical computers in an extended list of tasks. Noisy quantum computers can now provide an edge over classical computers.

What is unique about the Jiuzhang approach?

Unlike other quantum computers, Jiuzhang uses light as the physical medium for calculation. Thus, it does not require working sealed in extremely low temperatures, making it more stable for longer periods.

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