aiqbench analysis
This research introduces a protocol using Pauli-based computation to decouple quantum server resource requirements from overall computation size, relying instead on the non-Clifford gate count. The approach maintains fault tolerance and enables classical-client blind quantum computation even without traditional classical simulability constraints. By significantly reducing execution costs through an entanglement-based dual protocol, this work addresses a critical bottleneck in secure delegated quantum computing architectures.
Blind Quantum Computation with a Small Quantum Server
arXiv:2609.20729v1 Announce Type: new Abstract: Blind quantum computation (BQC) allows low-resource clients to securely delegate computations to a quantum server, but server resource costs scale with the computation size, posing a bottleneck for implementations. By leveraging Pauli-based computation (PBC), we achieve BQC with a server whose size depends only on the non-Clifford gate count. Our protocol inherits fault tolerance and qubit virtualization from PBC and reveals that classical-client BQC is possible even in the absence of classical simulability. Finally, we present an entanglement-based dual protocol that performs a resource state computation with a dramatically reduced execution cost.
Abstract:Blind quantum computation (BQC) allows low-resource clients to securely delegate computations to a quantum server, but server resource costs scale with the computation size, posing a bottleneck for implementations. By leveraging Pauli-based computation (PBC), we achieve BQC with a server whose size depends only on the non-Clifford gate count. Our protocol inherits fault tolerance and qubit virtualization from PBC and reveals that classical-client BQC is possible even in the absence of classical simulability. Finally, we present an entanglement-based dual protocol that performs a resource state computation with a dramatically reduced execution cost.
arXiv:2609.20729 [quant-ph]
(or arXiv:2609.20729v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2609.20729 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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