Searcharxiv⌕ Search

arXiv subjects

Cupjin Huang

Publications and source records attributed to Cupjin Huang.

22 records · Page 2Linked to original sources

Transversal switching between generic stabilizer codes

We propose a randomized variant of the stabilizer rewiring algorithm (SRA), a method for constructing a transversal circuit mapping between any pair of stabilizer codes. As gates along this circuit are applied, the initial code is deformed through a series of intermediate codes before reaching the final code. With this randomized variant, we show that there always exists a path of deformations which preserves the code distance throughout the circuit, while using at most linear overhead in the distance. Furthermore, we show that a random path will almost always suffice, and discuss prospects for implementing general fault-tolerant code switching circuits.

quant-ph↗

Comments on Cut-Set Bounds on Network Function Computation

A function computation problem in directed acyclic networks has been considered in the literature, where a sink node wants to compute a target function with the inputs generated at multiple source nodes. The network links are error-free but capacity-limited, and the intermediate network nodes perform network coding. The target function is required to be computed with zero error. The computing rate of a network code is measured by the average number of times that the target function can be computed for one use of the network, i.e., each link in the network is used at most once. In the papers [1], [2], two cut-set bounds were proposed on the computing rate. However, we show in this paper that these bounds are not valid for general network function computation problems. We analyze the arguments that lead to the invalidity of these bounds and fix the issue with a new cut-set bound, where a new equivalence relation associated with the inputs of the target function is used. Our bound is qualified for general target functions and network topologies. We also show that our bound is tight for some special cases where the computing capacity is known. Moreover, some results in [11], [12] were proved using the invalid upper bound in [1] and hence their correctness needs further justification. We also justify their validity in the paper.

cs.IT↗

Quantum hashing is maximally secure against classical leakage

Cryptographic hash functions are fundamental primitives widely used in practice. For such a function $f:\{0, 1\}^n\to\{0, 1\}^m$, it is nearly impossible for an adversary to produce the hash $f(x)$ without knowing the secret message $x\in\{0, 1\}^n$. Unfortunately, all hash functions are vulnerable under the side-channel attack, which is a grave concern for information security in practice. This is because typically $m\ll n$ and an adversary needs only $m$ bits of information to pass the verification test. In sharp contrast, we show that when quantum states are used, the leakage allowed can be almost the entire secret. More precisely, we call a function that maps $n$ bits to $m$ qubits a quantum cryptographic function if the maximum fidelity between two distinct hashes is negligible in $n$. We show that for any $k=n-ω(\log n)$, all quantum cryptographic hash functions remain cryptographically secure when leaking $k$ bits of information. By the quantum fingerprinting constructions of Buhrman et al.~({\em Phys. Rev. Lett.} 87, 167902), for all $m=ω(\log n)$, there exist such quantum cryptographic hash functions. We also show that one only needs $ω(\log^2 n)$ qubits to verify a quantum cryptographic hash, rather than the whole classical information needed to generate one. Our result also shows that to approximately produce a small amount of quantum side information on a classical secret, it may require almost the full information of the secret. This large gap represents a significant barrier for proving quantum security of classical-proof extractors.

quant-ph↗