Quantum Pseudorandom Scramblers

Abstract. Quantum pseudorandom state generators ( PRSG s) have stimulated exciting developments in recent years. A PRSG , on a fixed initial (e.g., all-zero) state, produces an output state that is computationally indistinguishable from a Haar random state. However, pseudorandomness of the output state is not guaranteed on other initial states. In fact, known PRSG constructions provably fail on some initial states. In this work, we propose and construct quantum pseudorandom state scramblers ( PRSS s), which can produce a pseudorandom state on an arbitrary initial state. In the information-theoretical setting, we obtain a scrambler which maps an arbitrary initial state to a distribution of quantum states that is close to Haar random in total variation distance. As a result, our scrambler exhibits a dispersing property. Loosely, it can span an [Formula: see text]-net of the state space. This significantly strengthens what standard PRSG s can induce, as they may only concentrate on a small region of the state space provided that the average output state approximates a Haar random state. Our PRSS construction develops a parallel extension of the famous Kac’s walk, and we show that it mixes exponentially faster than the standard Kac’s walk. This constitutes the core of our proof. We also describe a few applications of PRSS s. While our PRSS construction assumes a postquantum one-way function, PRSS s are potentially a weaker primitive and can be separated from one-way functions in a relativized world similar to standard PRSG s.

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Publication Details

Journal
SIAM Journal on Computing
Published
2026-08-21
DOI
https://doi.org/10.1137/24m170990x
Citations
1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00

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article

Quantum Pseudorandom Scramblers

Minglong Qin, Penghui Yao, Fang Song, Chuhan Lu et al.
1 citations
SIAM Journal on Computing
Quantum Computing Algorithms and Architecture
article

Quantum Pseudorandom Scramblers

Minglong Qin, Penghui Yao, Fang Song, Chuhan Lu, Mingnan Zhao
article en
1 citations

Abstract

Abstract. Quantum pseudorandom state generators ( PRSG s) have stimulated exciting developments in recent years. A PRSG , on a fixed initial (e.g., all-zero) state, produces an output state that is computationally indistinguishable from a Haar random state. However, pseudorandomness of the output state is not guaranteed on other initial states. In fact, known PRSG constructions provably fail on some initial states. In this work, we propose and construct quantum pseudorandom state scramblers ( PRSS s), which can produce a pseudorandom state on an arbitrary initial state. In the information-theoretical setting, we obtain a scrambler which maps an arbitrary initial state to a distribution of quantum states that is close to Haar random in total variation distance. As a result, our scrambler exhibits a dispersing property. Loosely, it can span an [Formula: see text]-net of the state space. This significantly strengthens what standard PRSG s can induce, as they may only concentrate on a small region of the state space provided that the average output state approximates a Haar random state. Our PRSS construction develops a parallel extension of the famous Kac’s walk, and we show that it mixes exponentially faster than the standard Kac’s walk. This constitutes the core of our proof. We also describe a few applications of PRSS s. While our PRSS construction assumes a postquantum one-way function, PRSS s are potentially a weaker primitive and can be separated from one-way functions in a relativized world similar to standard PRSG s.

SIAM Journal on ComputingVol. 55(4)
Centre for Quantum Technologies (SG), Portland State University (US), Nanjing University of Science and Technology (CN), Nanjing University (CN)
National Science Foundation, National Natural Science Foundation of China, Ministry of Education of the People's Republic of China, Natural Science Foundation of Jiangsu Province, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 100%
Quantum Computing Algorithms and Architecture
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