The experimental implementation of selective quantum process tomography (SQPT) involves computing individual elements of the process matrix with the help of a special set of states called quantum 2-design states. However, the number of experimental settings required to prepare input states from quantum 2-design states to selectively and precisely compute a desired element of the process matrix is still high, and hence constructing the corresponding unitary operations in the lab is a daunting task. In order to reduce the experimental complexity, we mathematically reformulated the standard SQPT problem, which we term the modified SQPT (MSQPT) method. We designed the generalized quantum circuit to prepare the required set of input states and f...
In this paper we describe in detail and generalize a method for quantum process tomography that was ...
Quantum state tomography (QST) represents an essential tool for the characterization, verification, ...
Future quantum computers capable of solving relevant problems will require a large number of qubits ...
Characterisation protocols have so far played a central role in the development of noisy intermediat...
Quantum state tomography is the experimental procedure of determining an unknown state. It is not on...
Quantum process tomography is a powerful tool for understanding quantum channels and characterizing ...
Gate set tomography (GST) is a self-consistent and highly accurate method for the tomographic recons...
Quantum process tomography is an experimental technique to fully characterize an unknown quantum pro...
Quantum state tomography is an essential tool for the characterization and verification of quantum s...
Accurate and precise control of large quantum systems is paramount to achieve practical advantages o...
We improve the quality of quantum circuits on superconducting quantum computing systems, as measured...
An important challenge in quantum information science and quantum computing is the experimental real...
The term "machine learning" especially refers to algorithms that derive mappings, i.e. intput/output...
We propose and investigate a new method of quantum process tomography (QPT) which we call projected ...
We present a post-compilation quantum circuit optimization technique that takes into account the var...
In this paper we describe in detail and generalize a method for quantum process tomography that was ...
Quantum state tomography (QST) represents an essential tool for the characterization, verification, ...
Future quantum computers capable of solving relevant problems will require a large number of qubits ...
Characterisation protocols have so far played a central role in the development of noisy intermediat...
Quantum state tomography is the experimental procedure of determining an unknown state. It is not on...
Quantum process tomography is a powerful tool for understanding quantum channels and characterizing ...
Gate set tomography (GST) is a self-consistent and highly accurate method for the tomographic recons...
Quantum process tomography is an experimental technique to fully characterize an unknown quantum pro...
Quantum state tomography is an essential tool for the characterization and verification of quantum s...
Accurate and precise control of large quantum systems is paramount to achieve practical advantages o...
We improve the quality of quantum circuits on superconducting quantum computing systems, as measured...
An important challenge in quantum information science and quantum computing is the experimental real...
The term "machine learning" especially refers to algorithms that derive mappings, i.e. intput/output...
We propose and investigate a new method of quantum process tomography (QPT) which we call projected ...
We present a post-compilation quantum circuit optimization technique that takes into account the var...
In this paper we describe in detail and generalize a method for quantum process tomography that was ...
Quantum state tomography (QST) represents an essential tool for the characterization, verification, ...
Future quantum computers capable of solving relevant problems will require a large number of qubits ...