A modular end-to-end simulation framework jointly models surface-code operations, QPU connectivity, and network constraints to produce execution latency and logical error rate estimates, revealing network-dependent operating regimes for distributed quantum computing.
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Fermion mappings combined with Z2 tapering and frozen-core approximations reduce qubit counts by up to 50%, gate counts by up to 27.5x, and Pauli strings by up to 2.75x for VQE on small molecules.
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Impact of Network Constraints on Fault-Tolerant Distributed Quantum Computing
A modular end-to-end simulation framework jointly models surface-code operations, QPU connectivity, and network constraints to produce execution latency and logical error rate estimates, revealing network-dependent operating regimes for distributed quantum computing.
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Resource Estimation for VQE on Small Molecules: Impact of Fermion Mappings and Hamiltonian Reductions
Fermion mappings combined with Z2 tapering and frozen-core approximations reduce qubit counts by up to 50%, gate counts by up to 27.5x, and Pauli strings by up to 2.75x for VQE on small molecules.