σ-VQE uses low-depth circuits and an energy-selective cost function to preferentially prepare quantum many-body scar states on NISQ devices.
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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.
Introduces ghost Gutzwiller quantum embedding for ground-state and spectral simulations of correlated electrons on quantum devices, tested on the infinite-dimensional Hubbard model with error mitigation.
citing papers explorer
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$\sigma$-VQE: Excited-state preparation of quantum many-body scars with shallow circuits
σ-VQE uses low-depth circuits and an energy-selective cost function to preferentially prepare quantum many-body scar states on NISQ devices.
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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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Quantum-Classical Embedding via Ghost Gutzwiller Approximation for Enhanced Simulations of Correlated Electron Systems
Introduces ghost Gutzwiller quantum embedding for ground-state and spectral simulations of correlated electrons on quantum devices, tested on the infinite-dimensional Hubbard model with error mitigation.