Pseudorandom unitaries are neither real nor sparse nor noise-robust
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Abstract (arXiv)
Pseudorandom quantum states (PRSs) and pseudorandom unitaries (PRUs) possess the dual nature of being efficiently constructible while appearing completely random to any efficient quantum algorithm. In this study, we establish fundamental bounds on pseudorandomness. We show that PRSs and PRUs exist only when the probability that an error occurs is negligible, ruling out their generation on noisy intermediate-scale and early fault-tolerant quantum computers. Further, we show that PRUs need imaginarity while PRS do not have this restriction. This implies that quantum randomness requires in general a complex-valued formalism of quantum mechanics, while for random quantum states real numbers suffice. Additionally, we derive lower bounds on the coherence of PRSs and PRUs, ruling out the existence of sparse PRUs and PRSs. We also show that the notions of PRS, PRUs and pseudorandom scramblers (PRSSs) are distinct in terms of resource requirements. We introduce the concept of pseudoresources, where states which contain a low amount of a given resource masquerade as high-resource states. We define pseudocoherence, pseudopurity and pseudoimaginarity, and identify three distinct types of pseudoresources in terms of their masquerading capabilities. Our work also establishes rigorous bounds on the efficiency of property testing, demonstrating the exponential complexity in distinguishing real quantum states from imaginary ones, in contrast to the efficient measurability of unitary imaginarity. Further, we show an exponential advantage in imaginarity testing when having access to the complex conjugate of the state. Lastly, we show that the transformation from a complex to a real model of quantum computation is inefficient, in contrast to the reverse process, which is efficient. Our results establish fundamental limits on property testing and provide valuable insights into quantum pseudorandomness.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 20 Jun 2023.
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Citing papers per year: 2023: 2; 2024: 2; 2025: 1.
5 papers.
- 2024How to Construct Random Unitariescited by 3
- 2023Quantum Solutions to the Privacy vs. Utility Tradeoffcited by 1
- 2023A quantum tug of war between randomness and symmetries on homogeneous spacescited by 0
- 2024Noise-tolerant learnability of shallow quantum circuits from statistics and the cost of quantum pseudorandomnesscited by 0
- 2025Reconquering Bell sampling on qudits: stabilizer learning and testing, quantum pseudorandomness bounds, and morecited by 0
- 2025Reconquering Bell sampling on qudits: stabilizer learning and testing, quantum pseudorandomness bounds, and more8 Oct 2025
- 2024How to Construct Random Unitaries14 Oct 2024
- 2024Noise-tolerant learnability of shallow quantum circuits from statistics and the cost of quantum pseudorandomness20 May 2024
- 2023A quantum tug of war between randomness and symmetries on homogeneous spaces11 Sep 2023
- 2023Quantum Solutions to the Privacy vs. Utility Tradeoff6 Jul 2023