25 citations · 33 across the 4 of their papers we have counts for
5 papers · 1 filter
Fast-tracking and disentangling of qubit noise fluctuations using minimal-data averaging and hierarchical discrete fluctuation auto-segmentation
Abhishek Agarwal, Lachlan P. Lindoy, Deep Lall +3
Qubit noise and fluctuations of the noise over time are key factors limiting the performance of quantum computers. Characterising them with high temporal resolution is challenging…
A Review and Collection of Metrics and Benchmarks for Quantum Computers: definitions, methodologies and software
Deep Lall, Abhishek Agarwal, Weixi Zhang +15
Quantum computers have the potential to provide an advantage over classical computers in a number of areas. Numerous metrics to benchmark the performance of quantum computers, rang…
Modelling non-Markovian noise in driven superconducting qubits
Abhishek Agarwal, Lachlan P. Lindoy, Deep Lall +2
Non-Markovian noise can be a significant source of errors in superconducting qubits. We develop gate sequences utilising mirrored pseudoidentities that allow us to characterise and…
Emulating two qubits with a four-level transmon qudit for variational quantum algorithms
Shuxiang Cao, Mustafa Bakr, Giulio Campanaro +7
Using quantum systems with more than two levels, or qudits, can scale the computation space of quantum processors more efficiently than using qubits, which may offer an easier phys…
Efficient characterization of qudit logical gates with gate set tomography using an error-free Virtual-Z-gate model
Shuxiang Cao, Deep Lall, Mustafa Bakr +7
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…