AI Article Synopsis

  • Using all-microwave control in superconducting quantum circuits helps reduce noise and wiring expenses.
  • A swap interaction facilitated by a coupler transmon enhances the efficiency of operations between two data transmons under microwave drive.
  • This method allows for the implementation of a controlled-Z gate that operates effectively with minimal residual interference, even when there are significant differences in frequency between the transmons.

Article Abstract

All-microwave control of fixed-frequency superconducting quantum computing circuits is advantageous for minimizing the noise channels and wiring costs. Here we introduce a swap interaction between two data transmons assisted by the third-order nonlinearity of a coupler transmon under a microwave drive. We model the interaction analytically and numerically and use it to implement an all-microwave controlled-Z gate. The gate based on the coupler-assisted swap transition maintains high drive efficiency and small residual interaction over a wide range of detuning between the data transmons.

Download full-text PDF

Source
http://dx.doi.org/10.1103/PhysRevLett.130.260601DOI Listing

Publication Analysis

Top Keywords

data transmons
8
all-microwave manipulation
4
manipulation superconducting
4
superconducting qubits
4
qubits fixed-frequency
4
fixed-frequency transmon
4
transmon coupler
4
coupler all-microwave
4
all-microwave control
4
control fixed-frequency
4

Similar Publications

Gate set tomography (GST) characterizes the process matrix of quantum logic gates, along with measurement and state preparation errors in quantum processors. GST typically requires extensive data collection and significant computational resources for model estimation. We propose a more efficient GST approach for qudits, utilizing the qudit Hadamard and virtual Z gates to construct fiducials while assuming virtual Z gates are error-free.

View Article and Find Full Text PDF

Compact data representations in quantum systems are crucial for the development of quantum algorithms for data analysis. In this study, we present two innovative data encoding techniques, known as QCrank and QBArt, which exhibit significant quantum parallelism via uniformly controlled rotation gates. The QCrank method encodes a series of real-valued data as rotations on data qubits, resulting in increased storage capacity.

View Article and Find Full Text PDF
Article Synopsis
  • Using all-microwave control in superconducting quantum circuits helps reduce noise and wiring expenses.
  • A swap interaction facilitated by a coupler transmon enhances the efficiency of operations between two data transmons under microwave drive.
  • This method allows for the implementation of a controlled-Z gate that operates effectively with minimal residual interference, even when there are significant differences in frequency between the transmons.
View Article and Find Full Text PDF

Minimizing leakage from computational states is a challenge when using many-level systems like superconducting quantum circuits as qubits. We realize and extend the quantum-hardware-efficient, all-microwave leakage reduction unit (LRU) for transmons in a circuit QED architecture proposed by Battistel et al. This LRU effectively reduces leakage in the second- and third-excited transmon states with up to 99% efficacy in 220 ns, with minimum impact on the qubit subspace.

View Article and Find Full Text PDF

Experimental quantum adversarial learning with programmable superconducting qubits.

Nat Comput Sci

November 2022

Department of Physics, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Interdisciplinary Center for Quantum Information, and Zhejiang Province Key Laboratory of Quantum Technology and Device, Zhejiang University, Hangzhou, China.

Article Synopsis
  • * Researchers conducted experiments using superconducting qubits to create quantum classifiers that can recognize real-life images and quantum data with high accuracy.
  • * The well-trained quantum classifiers were shown to be susceptible to small adversarial changes, but implementing adversarial training techniques significantly improved their resistance to these attacks.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!