Two machine learning models reconstruct continuous Wigner functions from sparse phase-space measurements: a provably efficient regression model for sparse states (O(s⁴ log d) samples) and a self-supervised neural network for general states including experimental GKP code data.
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Trapped-ion experiment generates all four Bell states of GKP qubits via beamsplitter interference of qunaught states and applies error correction to extend their lifetime.
Constructs distance-3, distance-5, and general 2t+1 logical qudit codes in spin systems with smaller Hilbert-space dimension than qubit-based encodings and polynomial scaling for operations.
Superconducting circuit hosts fractional fluxon states (fraxons) in a tailored Josephson potential to realize protected qudits with a STIRAP gate protocol.
Computational complexity of random multi-qudit states and unitaries scales exponentially with qudit number, while physical complexity scales more slowly.
citing papers explorer
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Learning to Reconstruct Wigner Functions in Phase Space
Two machine learning models reconstruct continuous Wigner functions from sparse phase-space measurements: a provably efficient regression model for sparse states (O(s⁴ log d) samples) and a self-supervised neural network for general states including experimental GKP code data.
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Error Correction of Beamsplitter-Generated Entangled GKP States
Trapped-ion experiment generates all four Bell states of GKP qubits via beamsplitter interference of qunaught states and applies error correction to extend their lifetime.
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Fault-Tolerant Encoding of Logical Qudits in Spin Systems
Constructs distance-3, distance-5, and general 2t+1 logical qudit codes in spin systems with smaller Hilbert-space dimension than qubit-based encodings and polynomial scaling for operations.
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Fraxonium: Fractional fluxon states for qudit encoding
Superconducting circuit hosts fractional fluxon states (fraxons) in a tailored Josephson potential to realize protected qudits with a STIRAP gate protocol.
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Computational and physical complexity of synthesizing random multi-qudit quantum states and unitary operators
Computational complexity of random multi-qudit states and unitaries scales exponentially with qudit number, while physical complexity scales more slowly.