Scalable generation and control of large quantum states of light and matter in engineered semiconduc

Abstract

Abstract (approved for public release) Quantum entanglement provides a key resource for all quantum technologies, ranging from quan,tum computing and quantum error correction to secure quantum communication and quantum metrology. These technologies are of great re,levance to the DoD, as they could eventually provide platforms for unconditionally secure long distance information transfer, for s,olving problems currently unsolvable with the most powerful computers, or for compact and portable sensors with superior properties,relative to the state of the art.However, central challenges remain in the engineering, manipulation, and application of large-scale, entanglement. Record sizes of maximally entangled qubit systems are still quite modest in all platforms, with at most 24 qubits ent,angled in a GHZ state. On the other hand, the largest quantum network consists of only 3 remotely entangled nodes.The key goal of t,his proposal is to address this central challenge of quantum science and engineering by developing a new semiconductor platform for,tum information science, and relies on engineered materials, novel optimization tools, and new experimental techniques. The fundamen,tal science questions that this work aims to address are the studies of light - matter interaction and cavity quantum electrodynamic,s on scales that have previously not been accessible, the size limits of maximally entangled states, but also whether semiconductors, could be used to build large scale quantum syst, - silicon carbide, with quantum photonics devices which are incorporating positioned and tunable color centers (crystal defects wit,h optical transitions that enable spin-to-photon interfaces) can be used to implement massive entangled states, as well as a scalabl,e, modular, fault tolerant quantum computing architecture. Color centers acting as spin qubits are interfaced and controlled by opti,cal and microwave fields, and are electrically tunable, allowing for the compensation of spectral broadening and inhomogeneities res,ulting from the nonuniform solid state environment. Interactions between qubits are optically mediated via tuning into many availabl,e cavity modes for entanglement. We show how qubit coherence can be surprisingly preserved in these CMOS-compatible fabricated struc,tures that are necessary for their efficient interfacing. High fidelity single and two-qubit gates can also be implemented and full,y parallelized. In this architecture, nuclear spin registers in the host crystal proximal to electron qubits are used as a quantum m,emory, and for fault tolerant encoding of logical qubits. We believe that silicon carbide is an ideal material for answering the key, goals of the proposed research and for completely changing the landscape of quantum science and engineering - essentially what sili,con did for classing computing. This material hosts high quality qubits that can be entangled, interfaced, and processed in a parall,elized and fault tolerant way using optical photons, while also displaying a set of properties not available in any other platform., for frequency conversion and electro-optic switching, piezoelectricity, superb micro-mechanical and thermal properties, and the opp,ortunity to incorporate qubits with atomic precision. All of these combined features offer a unique way to address all challenges in, scaling of quantum systems, including the inhomogeneity and imperfections of qubits, the inability to precisely control matter on a,n atomic scale during assembly of such systems, and efficient, fast, and parallelized control and interfacing of millions of qubits.

Document Details

Document Type
DoD Grant Award
Publication Date
Sep 08, 2022
Source ID
N000142212791

Entities

People

  • Jelena Vučković

Organizations

  • Office of Naval Research
  • Stanford University
  • United States Navy

Tags

Fields of Study

  • Physics

Readers

  • Integrated Circuit Design and Technology.
  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.
  • Systems Analysis and Design

Technology Areas

  • Microelectronics
  • Quantum Computing
  • Quantum Science - Quantum Dots