43 citations · 66 across the 14 of their papers we have counts for
4 papers · 1 filter
Encoding optimization for quantum machine learning demonstrated on a superconducting transmon qutrit
Shuxiang Cao, Weixi Zhang, Jules Tilly +9
Qutrits, three-level quantum systems, have the advantage of potentially requiring fewer components than the typically used two-level qubits to construct equivalent quantum circuits…
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…
Anderson impurity solver integrating tensor network methods with quantum computing
Francois Jamet, Lachlan P. Lindoy, Yannic Rath +6
Solving the Anderson impurity model typically involves a two-step process, where one first calculates the ground state of the Hamiltonian, and then computes its dynamical propertie…
A fault-tolerant variational quantum algorithm with limited T-depth
Hasan Sayginel, Francois Jamet, Abhishek Agarwal +2
We propose a variational quantum eigensolver (VQE) algorithm that uses a fault-tolerant gate-set, and is hence suitable for implementation on a future error-corrected quantum compu…