Quantum Systems Are Told By Artificial Intelligence

Quantum Systems Are Told By Artificial Intelligence ...

Quantum systems are defined as systems that operate according to quantum mechanics. These systems include atoms, molecules, and subatomic particles, and are well-known for their unique properties such as superposition, entanglement, and quantum interference.

Controlling basketball's trajectory is relatively simple, as it only requires mechanical force and human skill. However, controlling quantum systems like atoms and electrons is a much more challenging task. This is because tiny particles are susceptible to fluctuations that may result in their deviation from their intended trajectory in unexpected ways. Additionally, environmental factors like temperature cause the basketball to sag.

Researchers from the Okinawa Institute of Science and Technology (OIST) in Japan have discovered a method to effectively cool a micro-mechanical object to its quantum state and control its motion in an optimized manner.

The purpose of this paper is to develop quantum control through the application of an artificial intelligence agent (left). For instance, to cool the quantum ball down to the bottom of the well in the presence of environmental noises, the AI controller, which is based on reinforcement learning, would identify intelligent control pulses (middle polar graph).

Micro-mechanical objects, which are small compared to anatom or electron, behave typically when kept at a high temperature, or even at room temperature. However, quantum behavior might be realized in such systems if they can be cooled down to their lowest energy state, which physicists refer to as the ground state.

Dr. Bijita Sarma, the lead author of the paper and a Postdoctoral Scholar at the OIST Quantum Machines Unit headed by Professor Jason Twamley, says it must learn to program fast cooling and control techniques.

She and her co-workers developed a machine learning-based approach that demonstrates how artificial controllers may be employed to discover non-intuitive, intelligent pulse sequences that can cool a mechanical object from high to ultracold temperatures faster than other standard methods. These control pulses are self-discovered by the machine learning agent.

Quantum computing has the potential to revolutionize the world by enabling fast computing speeds and changing cryptographic techniques. That is why many research institutes and big-tech companies such as Google and IBM are investing a lot of time in developing such technologies. However, to achieve this, researchers must maintain full control over the operation of such quantum systems at an extremely high speed.

"Our proposed quantum control algorithm using an AI controller has shown the promise to make a quantum system stable," said Dr. Sarma. "Thus, our proposed quantum control technique using an AI controller may represent a step towards self-driving cars, similar to quantum machines."

Bijita Sarma, Sangkha Borah, A Kani, and Jason Twamley, 29 November 2022, Physical Review Research. DOI: 10.103/PhysRevResearch.4.L042038 Bijita Sarma, Sangkha Borah, A Kani, and Jason Twamley, 29 November 2022, Physical Review Research. DOI: 10.1103/PhysRevResearch.4.L042038

You may also like: