An automated predecoder generator for arbitrary qLDPC codes cuts decoder utilization by up to 3963x and supports hardware scaling to tens or hundreds of thousands of logical qubits within power limits.
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A full-system energy model shows NISQ quantum simulations dominated by error mitigation sampling overhead while FTQC costs are driven by physical qubit overhead from code distance and magic states.
A resource estimation framework for distributed fault-tolerant quantum computers based on lattice surgery identifies feasible hardware configurations for eight applications across thousands of setups, showing that architecture design must be guided by resource analysis for scalability.
citing papers explorer
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Mitigating Classical Resource Costs in Quantum Error Correction via Generalized qLDPC Predecoding
An automated predecoder generator for arbitrary qLDPC codes cuts decoder utilization by up to 3963x and supports hardware scaling to tens or hundreds of thousands of logical qubits within power limits.
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Estimating The Energy Consumption of Quantum Computing from A Full System Aspect
A full-system energy model shows NISQ quantum simulations dominated by error mitigation sampling overhead while FTQC costs are driven by physical qubit overhead from code distance and magic states.
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Architecting Distributed Quantum Computers: Design Insights from Resource Estimation
A resource estimation framework for distributed fault-tolerant quantum computers based on lattice surgery identifies feasible hardware configurations for eight applications across thousands of setups, showing that architecture design must be guided by resource analysis for scalability.