Generic detection-based error mitigation using quantum autoencoders

Efficient error-mitigation techniques demanding minimal resources is key to quantum information processing. We propose a generic protocol to mitigate quantum errors using detection-based quantum autoencoders. In our protocol, the quantum data are compressed into a latent subspace while leaving errors outside, the latter of which is then removed by a measurement and postselection. Compared to previously developed methods, our protocol on the one hand requires no extra qubits, and on the other hand it has a near-optimal denoising power, in which under reasonable requirements all errors detected outside of the latent subspace can be removed, while those inside the subspace cannot be removed by any means. Our detection-based quantum autoencoders are therefore particularly useful for near-term quantum devices in which controllable qubits are limited while noise reduction is important.

Automated summary

Our protocol uses detection-based quantum autoencoders to efficiently mitigate quantum errors without the need for extra qubits, offering near-optimal denoising power by removing errors detected outside of the latent subspace. This technique is particularly useful for near-term quantum devices with limited controllable qubits and a focus on noise reduction.