Collective many-body dynamics in a solid-state quantum sensor controlled through nanoscale magnetic gradients
Piotr Put, Nathaniel T. Leitao, Haoyang Gao, Christina Spaegele, Oksana Makarova, Lillian B. Hughes Wyatt, Andrew C. Maccabe, Matthew Mammen, Bartholomeus Machielse, Hengyun Zhou, Szymon Pustelny, Ania C. Bleszynski Jayich, Federico Capasso, Leigh S. Martin, Hongkun Park

TL;DR
This paper demonstrates the control and observation of collective many-body dynamics in dense solid-state spin ensembles using magnetic gradients and global control, enabling disorder-resilient quantum behavior for advanced sensing applications.
Contribution
It introduces a method combining magnetic field gradients with global control to realize and probe collective spin dynamics in dense diamond ensembles, overcoming disorder limitations.
Findings
Observation of disorder-resilient collective spin evolution
Control of nanometer-scale spin spirals
Potential for enhanced quantum metrology and imaging
Abstract
Coherent collective dynamics of strongly interacting qubits are a central resource in quantum information science, with applications from quantum computing and simulation to metrology. While electronic spins interact strongly via dipolar couplings in dense solid-state ensembles, imperfections and positional disorder pose major obstacles to coherent correlated behavior, limiting their usefulness. Here, we realize collective many-body dynamics by combining time-dependent magnetic field gradients with global coherent control of dense electron spin ensembles in diamond. We control and probe the dynamics of nanometer-scale spin spirals, and, by exploiting Hamiltonian engineering that enhances the microscopic symmetry of the interactions, we observe a disorder-resilient collective spin evolution. Our results establish a pathway to interaction-enhanced quantum metrology and nanoscale imaging…
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.
