Communication-Optimal Blind Quantum Protocols
Ethan Davies, Alastair Kay
TL;DR
This work establishes a tight, entropy-based lower bound on the quantum communication required for information-theoretically secure blind quantum computation under Pauli padding, showing the minimal cost is $E(N) \ge 2n - r$ with $r = \dim(\mathcal{P}_{\mathcal{F}})$. It develops Pauli padding and the preserved Pauli subspace framework to decompose target gates and track padding through circuits, then constructs a saturating protocol that achieves the bound, including a Clifford-special case where separable states suffice. The RM and PS variants are analyzed, with an explicit entropy accounting and a demonstration of optimality via a standard Clifford-based transformation. The results illuminate how to minimize quantum communication while preserving blindness and identify open directions for padding beyond Pauli structures and broader gate sets.
Abstract
A user, Alice, wants to get server Bob to implement a quantum computation for her. However, she wants to leave him blind to what she's doing. What are the minimal communication resources Alice must use in order to achieve information-theoretic security? In this paper, we consider a single step of the protocol, where Alice conveys to Bob whether or not he should implement a specific gate. We use an entropy-bounding technique to quantify the minimum number of qubits that Alice must send so that Bob cannot learn anything about the gate being implemented. We provide a protocol that saturates this bound. In this optimal protocol, the states that Alice sends may be entangled. For Clifford gates, we prove that it is sufficient for Alice to send separable states.
