Quantum-Enhanced Sensing Enabled by Scrambling-Induced Genuine Multipartite Entanglement
Guantian Hu, Wenxuan Zhang, Zhihua Chen, Liuzhu Zhong, Jingchao Zhao, Chilong Liu, Zixing Liu, Yue Xu, Yongchang Lin, Yougui Ri, Guixu Xie, Mingze Liu, Haolan Yuan, Yuxuan Zhou, Yu Zhang, Chang-Kang Hu, Song Liu, Dian Tan, Dapeng Yu

TL;DR
This paper demonstrates a scalable quantum sensing protocol using many-body scrambling and multipartite entanglement on a superconducting quantum processor, surpassing the standard quantum limit.
Contribution
It experimentally realizes a universal, scrambling-based quantum sensing protocol, linking sensitivity enhancement to out-of-time-order correlators and multipartite entanglement.
Findings
Achieved quantum-enhanced sensitivity beyond the standard quantum limit.
Observed a sensitivity scaling consistent with twice the Heisenberg limit for up to 10 qubits.
Established a connection between sensitivity enhancement and out-of-time-order correlators.
Abstract
Quantum sensing leverages quantum resources to surpass the standard quantum limit, yet many existing protocols rely on the preparation of complex entangled states and Hamiltonian engineering, posing challenges for universality and scalability. Here, we report an experimental realization of a universal protocol, known as Butterfly Metrology, proposed in [arXiv:2411.12794], demonstrating a scrambling-based approach for quantum-enhanced sensing on a superconducting quantum processor. By exploiting many-body information scrambling, we observe quantum-enhanced sensitivity to an encoded phase beyond the standard quantum limit, with a scaling consistent with a factor-of-two of the Heisenberg limit for system sizes of up to 10 qubits. Importantly, we experimentally establish a connection between the enhanced sensitivity and the dynamics of the out-of-time-order correlator (OTOC), and show that…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
