most citedEncoding optimization for quantum machine learning demonstrated on a superconducting transmon qutrit

1 citations · 1 across the 1 of their papers we have counts for

collaborators

5 papers

quant-ph2025

Double-Bracket Algorithmic Cooling

Mohammed Alghadeer, Khanh Uyen Giang, Shuxiang Cao +6

Algorithmic cooling shows that it is possible to locally reduce the entropy of a qubit belonging to an isolated ensemble such as nuclear spins in molecules or nitrogen-vacancy cent…

quant-ph2025

Long-Range Entangling Operations via Josephson Junction Metasurfaces

Mustafa Bakr

We present a framework for implementing two-qubit entangling operations between distant superconducting qubits using a space-time modulated Josephson junction metasurface. By modul…

quant-ph2025

Low Crosstalk in a Scalable Superconducting Quantum Lattice

Mohammed Alghadeer, Shuxiang Cao, Simone D Fasciati +5

Superconducting quantum circuits are a key platform for advancing quantum information processing and simulation. Scaling efforts currently encounter challenges such as Josephson-ju…

quant-ph2024

Multiplexed Readout of Superconducting Qubits Using a 3D Re-entrant Cavity Filter

Mustafa Bakr, Simone D. Fasciati, Shuxiang Cao +7

Hardware efficient methods for high fidelity quantum state measurements are crucial for superconducting qubit experiments, as qubit numbers grow and feedback and state reset begin…

quant-ph20231 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…