Dr Shuxiang Cao: Publications

Data for "Efficient Characterization of Qudit Logical Gates with Gate Set Tomography Using an Error-Free Virtual Z Gate Model"

91̽�� (2024)

Abstract:

Data for "Efficient Characterization of Qudit Logical Gates with Gate Set Tomography Using an Error-Free Virtual Z Gate Model"

Data for "Emulating two qubits with a four-level transmon qudit for variational quantum algorithms"

91̽�� (2024)

Abstract:

Data for "Emulating two qubits with a four-level transmon qudit for variational quantum algorithms"

Data for "Encoding optimization for quantum machine learning demonstrated on a superconducting transmon qutrit"

91̽�� (2024)

Abstract:

Data for "Encoding optimization for quantum machine learning demonstrated on a superconducting transmon qutrit"

Encoding optimization for quantum machine learning demonstrated on a superconducting transmon qutrit

(2023)

Authors:

Shuxiang Cao, Weixi Zhang, Jules Tilly, Abhishek Agarwal, Mustafa Bakr, Giulio Campanaro, Simone D Fasciati, James Wills, Boris Shteynas, Vivek Chidambaram, Peter Leek, Ivan Rungger

Emulating two qubits with a four-level transmon qudit for variational quantum algorithms

(2023)

Authors:

Shuxiang Cao, Mustafa Bakr, Giulio Campanaro, Simone D Fasciati, James Wills, Deep Lall, Boris Shteynas, Vivek Chidambaram, Ivan Rungger, Peter Leek

91̽��

Dr Shuxiang Cao

Research theme

Sub department

Data for "Efficient Characterization of Qudit Logical Gates with Gate Set Tomography Using an Error-Free Virtual Z Gate Model"

Abstract:

Data for "Emulating two qubits with a four-level transmon qudit for variational quantum algorithms"

Abstract:

Data for "Encoding optimization for quantum machine learning demonstrated on a superconducting transmon qutrit"

Abstract:

Encoding optimization for quantum machine learning demonstrated on a superconducting transmon qutrit

Authors:

Emulating two qubits with a four-level transmon qudit for variational quantum algorithms

Authors:

FIND US

CONTACT US

91̽��

Dr Shuxiang Cao

Research theme

Sub department

Research groups

Data for "Efficient Characterization of Qudit Logical Gates with Gate Set Tomography Using an Error-Free Virtual Z Gate Model"

Abstract:

Data for "Emulating two qubits with a four-level transmon qudit for variational quantum algorithms"

Abstract:

Data for "Encoding optimization for quantum machine learning demonstrated on a superconducting transmon qutrit"

Abstract:

Encoding optimization for quantum machine learning demonstrated on a superconducting transmon qutrit

Authors:

Emulating two qubits with a four-level transmon qudit for variational quantum algorithms

Authors: