Merged amplitude encoding reduces circuit executions in CCQKAN by a factor of n with 1-2 extra qubits and preserves trainability in numerical tests on networks and MNIST classification.
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2026 3representative citing papers
A hybrid method uses fixed quantum annealing states as boundary resources for classical MERA tensor networks to improve ground-state approximations without deeper quantum circuits.
Optimized q-sc-EOM on quantum hardware yields accurate excited-state energies for challenging molecular bond-breaking cases after reducing measurement scaling to O(N^5) and applying readout and symmetry error mitigation.
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Merged amplitude encoding for Chebyshev quantum Kolmogorov--Arnold networks: trading qubits for circuit executions
Merged amplitude encoding reduces circuit executions in CCQKAN by a factor of n with 1-2 extra qubits and preserves trainability in numerical tests on networks and MNIST classification.
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Combining non-parametric quantum states and MERA tensor networks for ground-state optimization
A hybrid method uses fixed quantum annealing states as boundary resources for classical MERA tensor networks to improve ground-state approximations without deeper quantum circuits.
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Molecular Excited States using Quantum Subspace Methods: Accuracy, Resource Reduction, and Error-Mitigated Hardware Implementation of q-sc-EOM
Optimized q-sc-EOM on quantum hardware yields accurate excited-state energies for challenging molecular bond-breaking cases after reducing measurement scaling to O(N^5) and applying readout and symmetry error mitigation.