A variational quantum circuit trained solely on classical measurement outcomes reconstructs diverse quantum states including GHZ, spin-chain ground states, and random circuits with fidelities above 90% on simulators and real NISQ hardware.
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Postselection on continuous monitoring of spontaneous emission slows entanglement decay in a two-transmon system and reveals exceptional points with PT-symmetric phases in the interaction frame.
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Quantum Machine Learning for State Tomography Using Classical Data
A variational quantum circuit trained solely on classical measurement outcomes reconstructs diverse quantum states including GHZ, spin-chain ground states, and random circuits with fidelities above 90% on simulators and real NISQ hardware.
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Entanglement Dynamics in a Two Transmon Qubit System under Continuous Measurement and Postselection
Postselection on continuous monitoring of spontaneous emission slows entanglement decay in a two-transmon system and reveals exceptional points with PT-symmetric phases in the interaction frame.