Continuous monitoring with jump operators forming a deformed unitary 1-design rigorously produces the Scrooge ensemble as the unique late-time equilibrium distribution of quantum trajectories for any target density matrix.
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Permanents, hafnians, and loop-hafnians are unified in a single Ising spin model whose dynamics are simulatable on a quantum circuit with O(N²) gates.
A black-box machine learning technique trains continuously-coupled photonic waveguide arrays to implement target unitaries using limited single- and two-photon measurements without requiring detailed internal models.
A FROG technique employing parametric amplification is proposed and validated via numerical simulations to recover temporal mode shapes and squeezing levels of multimode ultrafast squeezed states.
Introduces non-Gaussian control parameters (s0, δ0) and an optimization method that reduces photon detections by a factor of three and increases preparation probability by nearly 10^8 for GKP states, with gains shown across cat, cubic phase, and random states.
Quantum superposition allows time-optimal excitation transfer in lattices to complete faster than any individual classical trajectory.
citing papers explorer
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Exact Hilbert-space ergodicity from continuous monitoring
Continuous monitoring with jump operators forming a deformed unitary 1-design rigorously produces the Scrooge ensemble as the unique late-time equilibrium distribution of quantum trajectories for any target density matrix.
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Quantum Circuit Representation of Combinatorial Matrix Functions
Permanents, hafnians, and loop-hafnians are unified in a single Ising spin model whose dynamics are simulatable on a quantum circuit with O(N²) gates.
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Training continuously-coupled reconfigurable photonic chips with quantum machine learning
A black-box machine learning technique trains continuously-coupled photonic waveguide arrays to implement target unitaries using limited single- and two-photon measurements without requiring detailed internal models.
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Frequency resolved optical gating using parametric amplification for characterizing ultrafast temporally multimode squeezed states
A FROG technique employing parametric amplification is proposed and validated via numerical simulations to recover temporal mode shapes and squeezing levels of multimode ultrafast squeezed states.
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Beyond Stellar Rank: Control Parameters for Scalable Optical Non-Gaussian State Generation
Introduces non-Gaussian control parameters (s0, δ0) and an optimization method that reduces photon detections by a factor of three and increases preparation probability by nearly 10^8 for GKP states, with gains shown across cat, cubic phase, and random states.
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Quantum advantage in transfer of quantum states
Quantum superposition allows time-optimal excitation transfer in lattices to complete faster than any individual classical trajectory.