High-throughput assessment of defect-nuclear spin register controllability for quantum memory applications
Filippos Dakis, Evangelia Takou, Edwin Barnes, Sophia E. Economou

TL;DR
This paper introduces an efficient method to evaluate and optimize the controllability of defect-nuclear spin systems for quantum memory, enabling high-throughput assessment of entanglement capabilities in large nuclear spin registers.
Contribution
The paper presents a systematic, scalable approach for assessing defect-nuclear spin controllability, aiding the selection and engineering of quantum memory candidates.
Findings
Certain control sequences outperform others depending on nuclear spin composition.
Gate fidelities are affected by register size and presence of unwanted nuclear spins.
The approach facilitates high-throughput exploration of defect systems for quantum memories.
Abstract
Quantum memories play a key role in facilitating tasks within quantum networks and quantum information processing, including secure communications, advanced quantum sensing, and distributed quantum computing. Progress in characterizing large nuclear spin registers coupled to defect electronic spins has been significant, but selecting memory qubits remains challenging due to the multitude of possible assignments. Numerical simulations for evaluating entangling gate fidelities encounter obstacles, restricting research to small registers, while experimental investigations are time-consuming and often limited to well-understood samples. Here we present an efficient methodology for systematically assessing the controllability of defect systems coupled to nuclear spin registers. We showcase the approach by investigating the generation of entanglement links between defects in SiC and randomly…
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.
Taxonomy
TopicsSemiconductor materials and devices · Advanced Memory and Neural Computing · Advanced Materials Characterization Techniques
