Quantum Computing- Encoding Bosonic Qubits in Long-lived Phonons

Abstract

prepared in controlled environments promises a wide range of opportunities in solving computational problems. Current efforts in building quantum computers rely on a variety of physical platforms for the storage and processing of quantum information. Among these, quantum electrical circuits have shown tremendous success in creating and measuring microwave photons, the quantum grains of electromagnetic energy. Despite the relative ease of processing quantum information with microwave photons, storing quantum states for extended periods of time in electrical circuits is challenging. Phonons, the quantum grains of energy stored in vibrations in solids, provide attractive features for storing quantum information. The inability of the sound waves to propagate in vacuum makes it possible to trap and isolate phonons in artificial crystals made from periodically patterned structures. Additionally, the low propagation speed of sound, in comparison to light, makes these phononic crystals extremely compact. In this project, we aim to combine quantum electrical circuits processing power with phononic crystals storage capacity to make a hybrid platform for quantum computers. At the heart of our proposal is a novel transducer that relies on an electrostatic field for converting microwave photons to phonons with an unprecedented low energy loss. Throughout this project, we will develop a full suite of hybrid microchips containing phononic crystal storage elements connected via electrostatic transducers to Josephson-junction-based superconducting circuits. We will use the fabricated chips to demonstrate the preparation and measurement of an error-protected quantum bit encoded within the multi-phonon states of a phononic crystal storage resonator. Successful implementation of this goal promises qubits with drastically reduced error rates beyond the reach of planar electromagnetic devices and with thousands of times smaller physical dimensions, thus providing a scalable platform for error-protected quantum computing.

Document Details

Document Type
DoD Grant Award
Publication Date
Feb 29, 2024
Source ID
FA95502310062

Entities

People

  • Mohammad Mirhosseini

Organizations

  • Air Force Office of Scientific Research
  • California Institute of Technology
  • United States Air Force

Tags

Fields of Study

  • Physics

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Microwave Engineering.
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.

Technology Areas

  • Quantum Computing
  • Quantum Science - Quantum Dots