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Related Experiment Video

Updated: Sep 13, 2025

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform

Published on: August 2, 2019

Charging a quantum spin network with superextensive precision.

Beatrice Donelli^1,2, Stefano Gherardini^1,2, Raffaele Marino³

¹Istituto Nazionale di Ottica, Consiglio Nazionale delle Ricerche, Largo Enrico Fermi 6, 50125 Firenze, Italy.

Physical Review. E

|August 1, 2025

Summary

This summary is machine-generated.

We developed a cooperative protocol to charge quantum spin networks efficiently. This method uses spin interactions and phase transitions to achieve superior charging precision, outperforming local methods significantly.

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Area of Science:

Quantum Information Science
Condensed Matter Physics
Quantum Computing

Background:

Quantum spin networks store energy in their magnetization.
Efficiently charging these networks to their highest energy state is crucial for applications.
Local charging protocols face limitations in precision and scalability.

Purpose of the Study:

To present a novel cooperative protocol for charging quantum spin networks.
To achieve superextensive charging precision by leveraging spin-spin interactions and critical phenomena.
To demonstrate the protocol's advantage over local charging methods.

Main Methods:

Utilizing spin-spin interactions within the quantum network.
Exploiting the crossing of a phase transition's critical point.
Implementing the protocol on the D-Wave Advantage quantum processing unit.

Main Results:

Achieved superextensive charging precision for quantum spin networks.
Demonstrated magnetization fluctuations scaling as 1/N, where N is the number of spins.
Outperformed local charging precision by four orders of magnitude on a D-Wave processor.

Conclusions:

The cooperative protocol offers a significant precision advantage over local methods.
The protocol is scalable and effective for charging large quantum spin networks.
This work advances the capability of energy storage and management in quantum systems.