Noise-Protected Superconducting Quantum Circuits

Jens Koch

Pradeep Kumar, J. W. Freeland, Clare C. Yu +6 more

Michel Devoret

PARK KUN HEE

András Gyenis, Agustín Di Paolo, Jens Koch +3 more

Artificial atoms realized by superconducting circuits offer unique opportunities to store and process quantum information with high fidelity.Among them, implementations of circuits that harness intrinsic noise protection have been rapidly developed in recent years.These noise-protected devices constitute a new class of qubits in which the computational states are largely decoupled from local noise channels.The main challenges in engineering such systems are simultaneously guarding against both bit-and phase-flip errors, and also ensuring high-fidelity qubit control.Although partial noise protection is possible in superconducting circuits relying on a single quantum degree of freedom, the promise of complete protection can only be fulfilled by implementing multimode or hybrid circuits.This Perspective reviews the theoretical principles at the heart of these new qubits, describes recent experiments, and highlights the potential of robust encoding of quantum information in superconducting qubits.

Jincheng Zhang

This paper proposes a novel architecture for adaptive quantum circuits leveraging the protective effects of topological defects in superconducting quantum circuits. The core concept involves constructing superconducting circuits incorporating multiple topological defects, wherein the circuit's quantum states can be dynamically reconfigured upon encountering noise, preserving quantum computation accuracy. This approach addresses the critical challenge of noise resilience in quantum computing by exploiting the inherent robustness of topological protection. The design emphasizes adaptability, allowing the circuit to self-correct and maintain fidelity under fluctuating environmental conditions. Mathematical formulations describe the circuit dynamics and the topological protection mechanism. The proposed architecture offers a promising pathway toward robust and scalable quantum computation. ---