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.
Operator-projected variational quantum imag- inary time evolution
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
quant-ph 2years
2026 2representative citing papers
Bowtie VarQTE is a hybrid classical-quantum variational time evolution method that exploits causal light-cones to reduce quantum resource use for state preparation while achieving fidelities comparable to approximate quantum compilation.
citing papers explorer
-
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.
-
Bowtie VarQTE: A Resource-Efficient Quantum State Preparation Primitive
Bowtie VarQTE is a hybrid classical-quantum variational time evolution method that exploits causal light-cones to reduce quantum resource use for state preparation while achieving fidelities comparable to approximate quantum compilation.