A protocol is proposed to prepare magnonic GKP states in a hybrid magnon-qubit system via cavity-mediated conditional displacements, enabling logical gates for fault-tolerant quantum computation.
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AQUIRE is the first error-aware adaptive Bayesian protocol for simultaneously estimating the mean and error of observables on qudit quantum computers using generalized Pauli operators and overlap grouping.
Maximization of heralding probability in photon-counting schemes on multimode Gaussian states reduces to solving a system of polynomial equations.
Adding an ancilla qubit to GKP-stabilizer codes reduces Gaussian displacement noise standard deviation from σ to O(σ²) for universal hybrid CV-DV gates.
A tunable preprocessing stage in GKP Steane error correction minimizes the product of output position and momentum noise variances when 2a equals b in the small-noise regime and outperforms the ME-Steane scheme.
A hybrid CV-DV quantum error correction scheme uses discrete-variable ancillas to correct continuous-variable displacement errors and forms new oscillator-in-oscillator codes without GKP states.
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.
Sequential weak measurements on a quantum harmonic oscillator enable simultaneous quadrature estimation, with backaction increasing information for some strengths and post-processing extending dynamic range while improving decoherence robustness.
A witness-based framework quantifies continuous-variable resources and activates them into discrete-variable entanglement or EPR steering via measure-and-prepare channels that produce Werner states.
GKP-based repeaters with loss-tolerant protocols and modified parity encoding achieve secure key rates comparable to photonic systems while using orders of magnitude fewer qubits.
The concatenated dual displacement code suppresses Gaussian displacement error variance by up to 50% under infinite squeezing while correcting lattice-crossing events in CV quantum error correction.
Gradient descent optimization reconstructs POVMs for phase-insensitive quantum detectors with higher or comparable fidelity to constrained convex optimization but in much less time.
Proposes and models a single-shot conditional displacement gate between a trapped atom and traveling light pulse via cavity mediation, including loss effects for hybrid quantum information processing.
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.
Superconducting circuit hosts fractional fluxon states (fraxons) in a tailored Josephson potential to realize protected qudits with a STIRAP gate protocol.
Noise in lattice-based cryptography fails to erase information permanently, so quantum error correction and learning can extract secrets, making unconditional post-quantum security claims premature.
High-order squeezed states can deliver better metrological precision than squeezed vacuum at equal occupations, with the advantage depending on the state family and sensitive to dephasing noise.
Convex optimization formulations and an analytical symplectic trace expression are introduced to reconstruct physical Gaussian covariance matrices and witness genuine multipartite entanglement from experimental data.
citing papers explorer
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Gradient-descent methods for scalable quantum detector tomography
Gradient descent optimization reconstructs POVMs for phase-insensitive quantum detectors with higher or comparable fidelity to constrained convex optimization but in much less time.
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Single-shot conditional displacement gate between a trapped atom and traveling light
Proposes and models a single-shot conditional displacement gate between a trapped atom and traveling light pulse via cavity mediation, including loss effects for hybrid quantum information processing.