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Cooling an Optically Trapped Ultracold Fermi Gas by Periodical Driving
Published on: March 30, 2017
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Gottesman-Kitaev-Preskill State Preparation Using Periodic Driving
Xanda C Kolesnikow1, Raditya W Bomantara2, Andrew C Doherty1
1Centre for Engineered Quantum Systems, School of Physics, The University of Sydney, Sydney, NSW 2006, Australia.
Physical Review Letters
|April 13, 2024
Summary
We propose a new method to prepare Gottesman-Kitaev-Preskill (GKP) states for quantum computing. This approach uses engineered Hamiltonians and superconducting circuits, overcoming experimental challenges in quantum error correction.
Area of Science:
- Quantum Information Science
- Quantum Error Correction
- Continuous Variable Quantum Systems
Background:
- Gottesman-Kitaev-Preskill (GKP) codes are crucial for mitigating noise in continuous variable quantum systems.
- Experimentally realizing GKP states presents significant challenges, hindering their application.
Purpose of the Study:
- To propose a novel and experimentally feasible method for preparing GKP states.
- To demonstrate that engineered time-periodic Hamiltonians can host GKP states as their Floquet states.
Main Methods:
- Engineering a time-periodic Hamiltonian using a superconducting circuit (SQUID shunted by a superinductor and capacitor).
- Utilizing adiabatic tuning of an external magnetic flux drive frequency to prepare GKP Floquet states.
- Leveraging superconducting circuit parameters like characteristic impedance and quality factor.
Main Results:
- Prediction of highly squeezed GKP magic states (>11.9 dB or 10.8 dB) preparable on a microsecond timescale.
- Demonstration of feasibility under realistic conditions, considering quality factors (10^6, 10^5) and typical flux noise rates.
Conclusions:
- The proposed method offers a practical pathway for generating high-fidelity GKP states.
- This advancement is significant for building robust continuous variable quantum computers.
- The engineered Hamiltonian approach provides a scalable solution for quantum error correction.
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