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quant-ph2026
Experimental quantum state learning with pairs of photons
C. Pria Dobney, Johan Henaff, Allen Kasum +5
Tomography allows one to estimate the density matrix describing the state an ensemble of quantum systems are prepared in (for example, polarization tomography determines the polari…
quant-ph2026
Sampling quantum states with inequality constraints
Weijun Li, Rui Han, Jiangwei Shang +2
Random samples of quantum states with specific properties are useful for various applications, such as Monte Carlo integration over the state space. In the high-dimensional situati…
quant-ph2025
State learning from pairs of states
Pranjal Agarwal, Nada Ali, Camilla Polvara +3
Suppose you receive a sequence of qubits where each qubit is guaranteed to be in one of two pure states, but you do not know what those states are. Your task is to determine the st…