Quantum ansatz design is cast as a four-player potential game optimizing trainability, non-stabilizerness, performance, and cost, with Nash search outperforming baselines on 4-qubit MaxCut and LiH tasks.
Title resolution pending
4 Pith papers cite this work. Polarity classification is still indexing.
fields
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.
Quantum regression encodes data tables into quantum states with variational parameters as direct regression coefficients, enabling interpretability, reduced gate complexity, and cost function measurements aligned with mean squared error.
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.
citing papers explorer
-
A four-player potential game for barren-plateau-aware quantum ansatz design
Quantum ansatz design is cast as a four-player potential game optimizing trainability, non-stabilizerness, performance, and cost, with Nash search outperforming baselines on 4-qubit MaxCut and LiH tasks.
-
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.
-
Explainable quantum regression algorithm with encoded data structure
Quantum regression encodes data tables into quantum states with variational parameters as direct regression coefficients, enabling interpretability, reduced gate complexity, and cost function measurements aligned with mean squared error.
-
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.