43 citations · 79 across the 8 of their papers we have counts for
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quant-ph2023★ 1 cited
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…
quant-ph2023★ 25 cited
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…