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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quant-ph 4years
2026 4representative citing papers
Optimized non-uniform shot allocation guided by an equation-of-motion error cost function reduces measurement overhead by >2x and improves fidelity in noisy imaginary-time VQDS for 1D Ising ground states.
qSHIFT achieves L-independent gate complexity and O(t^{1+r}) error scaling in quantum simulation through adaptive sampling distributions updated by solving L^r classical linear equations per round.
Graph neural networks that incorporate local hardware noise parameters as graph features enable quantum error mitigation with better scalability and lower error than traditional global regression methods on 10-16 qubit circuits.
citing papers explorer
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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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Sampling Noise and Optimized Measurement Distribution in Imaginary-Time Quantum Dynamics Simulations
Optimized non-uniform shot allocation guided by an equation-of-motion error cost function reduces measurement overhead by >2x and improves fidelity in noisy imaginary-time VQDS for 1D Ising ground states.
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qSHIFT: An Adaptive Sampling Protocol for Higher-Order Quantum Simulation
qSHIFT achieves L-independent gate complexity and O(t^{1+r}) error scaling in quantum simulation through adaptive sampling distributions updated by solving L^r classical linear equations per round.
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Scalable Quantum Error Mitigation with Physically Informed Graph Neural Networks
Graph neural networks that incorporate local hardware noise parameters as graph features enable quantum error mitigation with better scalability and lower error than traditional global regression methods on 10-16 qubit circuits.