7 papers
Quantum measurement tomography with mini-batch stochastic gradient descent
Akshay Gaikwad, Manuel Sebastian Torres, Anton Frisk Kockum
Drawing inspiration from gradient-descent methods developed for data processing in quantum state tomography [\href{https://iopscience.iop.org/article/10.1088/2058-9565/ae0baa}{Quan…
Quantum Process Tomography with Digital Twins of Error Matrices
Tangyou Huang, Akshay Gaikwad, Ilya Moskalenko +19
Accurate and robust quantum process tomography (QPT) is crucial for verifying quantum gates and diagnosing implementation faults in experiments aimed at building universal quantum…
Selective and efficient quantum state tomography for multi-qubit systems
Aniket Patel, Akshay Gaikwad, Tangyou Huang +2
Quantum state tomography (QST) is a crucial tool for characterizing quantum states. However, QST becomes impractical for reconstructing multi-qubit density matrices since data sets…
Deterministic generation of frequency-bin-encoded microwave photons
Jiaying Yang, Maryam Khanahmadi, Ingrid Strandberg +7
A distributed quantum computing network requires a quantum communication channel between spatially separated processing units. In superconducting circuits, such a channel can be im…
Entanglement of photonic modes from a continuously driven two-level system
Jiaying Yang, Ingrid Strandberg, Alejandro Vivas-Viana +7
The ability to generate entangled states of light is a key primitive for quantum communication and distributed quantum computation. Continuously driven sources, including those bas…
Gradient-descent methods for fast quantum state tomography
Akshay Gaikwad, Manuel Sebastian Torres, Shahnawaz Ahmed +1
Quantum state tomography (QST) is a widely employed technique for characterizing the state of a quantum system. However, it is plagued by two fundamental challenges: computational…