/Artificial giant atom exhibits promising properties for quantum computers (via Qpute.com)

Artificial giant atom exhibits promising properties for quantum computers (via Qpute.com)

An international research team has recorded new quantum properties on an artificial giant atom. The quantum system under investigation is claimed to be equipped with a memory, which is a new discovery that may be used for building a quantum computer. The group, which consists of German, Indian, and Swedish scientists, examined an artificial quantum system and observed new properties. The experiments were conducted at the Chalmers University of Technology, Sweden, while the theory was completed by Dr. Lingzhen Guo, Florian Marquardt’s division at the Max Planck Institute for the Science of Light (MPL), Erlangen. The measured effect has never been seen before on a single quantum system.

The giant atom consists of a superconducting quantum interference device (SQUID) loop that is tethered to an antenna, i.e., the transmon qubits, the quantum computing equivalent of a bit in a classic computer. By employing the piezoelectric effect, the team could excite the giant atom with acoustic waves. The ‘earthquake at the nano-level’ alters the energy state of the system. Upon the release of the absorbed energy, the team saw a different reaction than that is expected when a normal atom releases its energy. The team observed that the giant artificial atom seems to have a memory. Dr. Guo elaborates that first, the energy level flattens out, simply to come back to life soon and emit another energy boost, which signifies that the giant atom communicates with its past from the environment. This is where the team saw a memory effect at the single-atom level, adds Dr. Guo.

The giant atoms could be employed in building a quantum computer. It has been postulated that the intrinsic time-delayed feedback of giant atoms could be manipulated to produce cluster states for universal measurement-based quantum computation that needs significantly fewer hardware resources than required in gate-based approaches.

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