Protocol learns single-qubit Z-twirled MCM instrument parameters from three repeated measurements on mixed input, yielding ~100x better Pauli-observable prediction than confusion-matrix models on IBM processors.
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4 Pith papers cite this work. Polarity classification is still indexing.
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A method to create near-minimal GST experiment designs for two qubits that maintain Heisenberg-like precision scaling with far fewer circuits than standard designs.
Two approaches (PTM singular vector optimization and sequential basis matching) allow BB84 and six-state QKD to achieve equivalent key rates over unital channels without a shared reference frame by absorbing frame misalignment into the channel.
Empirical study of real NISQ order-finding data identifies dominant verified mass fraction as the strongest predictor of whether standard post-processing recovers the true order.
citing papers explorer
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Learning Mid-circuit Measurement Backaction from Three Repeated Measurements
Protocol learns single-qubit Z-twirled MCM instrument parameters from three repeated measurements on mixed input, yielding ~100x better Pauli-observable prediction than confusion-matrix models on IBM processors.
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Near-Minimal Gate Set Tomography Experiment Designs
A method to create near-minimal GST experiment designs for two qubits that maintain Heisenberg-like precision scaling with far fewer circuits than standard designs.
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Quantum Key Distribution Without Shared Reference Frame Under Unital Noise
Two approaches (PTM singular vector optimization and sequential basis matching) allow BB84 and six-state QKD to achieve equivalent key rates over unital channels without a shared reference frame by absorbing frame misalignment into the channel.
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When Noisy Quantum Order Finding Remains Recoverable for Shor's Algorithm
Empirical study of real NISQ order-finding data identifies dominant verified mass fraction as the strongest predictor of whether standard post-processing recovers the true order.