Induction-Detection Electron Spin Resonance with Sensitivity of 1000 Spins: En Route to Scalable Quantum Computations

TL;DR

This paper demonstrates a highly sensitive electron spin resonance detection method capable of sensing fewer than 1000 spins with high spatial resolution, advancing the development of scalable solid-state quantum computers.

Contribution

It introduces a novel ESR detection scheme using a small resonator and cryogenic amplification to achieve unprecedented sensitivity and resolution for quantum computing applications.

Findings

Sensitivity of less than 1000 electron spins achieved

Spatial resolution of approximately 500 nanometers demonstrated

First experimental step towards scalable quantum computation implementation

Abstract

Spin-based quantum computation (QC) in the solid state is considered to be one of the most promising approaches to scalable quantum computers. However, it faces problems such as initializing the spins, selectively addressing and manipulating single spins, and reading out the state of the individual spins. We have recently sketched a scheme that potentially solves all of these problems5. This is achieved by making use of a unique phosphorus-doped 28Si sample (28Si:P), and applying powerful new electron spin resonance (ESR) techniques for parallel excitation, detection, and imaging in order to implement QCs and efficiently obtain their results. The beauty of our proposed scheme is that, contrary to other approaches, single-spin detection sensitivity is not required and a capability to measure signals of ~100-1000 spins is sufficient to implement it. Here we take the first experimental step towards the actual implementation of such scheme. We show that, by making use of the smallest ESR resonator constructed to date (~5 microns), together with a unique cryogenic amplification scheme and sub-micron imaging capabilities, a sensitivity of less than 1000 electron spin is obtained with spatial resolution of ~500 nm. This is the most sensitive induction-detection experiment carried out to date, and such capabilities put this approach on the fast track to the demonstration of a scalable QC capability.