Adversaries perturbing shared entanglement in distributed VQAs can manipulate a new Kraus expressibility metric to keep gradients large but steer training to incorrect solutions.
Barren plateaus in quantum neural network training landscapes.Nature communications, 9(1):4812, 2018
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A hybrid quantum-classical method with knapsack-specific QAOA circuits and classical recovery produces solutions indicating improvement over classical schemes for chance-constrained knapsack problems in insurance on IBM Heron processors.
Random states from symplectic and orthogonal unitaries show exponentially large strong state complexity and near-orthogonality, with average-case hardness for learning circuits from these groups.
A quantum framework introduces C-Estimator and E-Estimator for classical covariance matrices using variational circuits, with regularization to ensure positive definiteness and mitigate barren plateaus, validated via simulations.
citing papers explorer
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Adversarial Effects on Expressibility and Trainability in Distributed Variational Quantum Algorithms
Adversaries perturbing shared entanglement in distributed VQAs can manipulate a new Kraus expressibility metric to keep gradients large but steer training to incorrect solutions.
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A Quantum Approach to Stochastic Optimization in Insurance Underwriting
A hybrid quantum-classical method with knapsack-specific QAOA circuits and classical recovery produces solutions indicating improvement over classical schemes for chance-constrained knapsack problems in insurance on IBM Heron processors.
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On the Complexity of Quantum States and Circuits from the Orthogonal and Symplectic Groups
Random states from symplectic and orthogonal unitaries show exponentially large strong state complexity and near-orthogonality, with average-case hardness for learning circuits from these groups.
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Quantum Learning of Classical Correlations with continuous-domain Pauli Correlation Encoding
A quantum framework introduces C-Estimator and E-Estimator for classical covariance matrices using variational circuits, with regularization to ensure positive definiteness and mitigate barren plateaus, validated via simulations.
- Spectral Gap Informed Ramp QAOA