Average-Case Complexity of Quantum Stabilizer Decoding
- URL: http://arxiv.org/abs/2509.20697v1
- Date: Thu, 25 Sep 2025 03:04:40 GMT
- Title: Average-Case Complexity of Quantum Stabilizer Decoding
- Authors: Andrey Boris Khesin, Jonathan Z. Lu, Alexander Poremba, Akshar Ramkumar, Vinod Vaikuntanathan,
- Abstract summary: We prove that decoding a random stabilizer code with even a single logical qubit is at least as hard as decoding a random classical code at constant rate.<n>This result suggests that the easiest random quantum decoding problem is at least as hard as the hardest random classical decoding problem.
- Score: 42.770940323689445
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Random classical linear codes are widely believed to be hard to decode. While slightly sub-exponential time algorithms exist when the coding rate vanishes sufficiently rapidly, all known algorithms at constant rate require exponential time. By contrast, the complexity of decoding a random quantum stabilizer code has remained an open question for quite some time. This work closes the gap in our understanding of the algorithmic hardness of decoding random quantum versus random classical codes. We prove that decoding a random stabilizer code with even a single logical qubit is at least as hard as decoding a random classical code at constant rate--the maximally hard regime. This result suggests that the easiest random quantum decoding problem is at least as hard as the hardest random classical decoding problem, and shows that any sub-exponential algorithm decoding a typical stabilizer code, at any rate, would immediately imply a breakthrough in cryptography. More generally, we also characterize many other complexity-theoretic properties of stabilizer codes. While classical decoding admits a random self-reduction, we prove significant barriers for the existence of random self-reductions in the quantum case. This result follows from new bounds on Clifford entropies and Pauli mixing times, which may be of independent interest. As a complementary result, we demonstrate various other self-reductions which are in fact achievable, such as between search and decision. We also demonstrate several ways in which quantum phenomena, such as quantum degeneracy, force several reasonable definitions of stabilizer decoding--all of which are classically identical--to have distinct or non-trivially equivalent complexity.
Related papers
- Pseudo-deterministic Quantum Algorithms [7.46931129146594]
We show that for any total problem $R$, pseudo-deterministic quantum algorithms admit at most a quintic advantage over deterministic algorithms.<n>On the algorithmic side, we identify a class of quantum search problems that can be made pseudo-deterministic with small overhead.
arXiv Detail & Related papers (2026-02-19T18:54:47Z) - Founding Quantum Cryptography on Quantum Advantage, or, Towards Cryptography from $\mathsf{\#P}$-Hardness [10.438299411521099]
Recent separations have raised the tantalizing possibility of building quantum cryptography from sources of hardness that persist even if hierarchy collapses.
We show that quantum cryptography can be based on the extremely mild assumption that $mathsfP#P notsubseteq mathsf(io)BQP/qpoly$.
arXiv Detail & Related papers (2024-09-23T17:45:33Z) - Taming Quantum Time Complexity [45.867051459785976]
We show how to achieve both exactness and thriftiness in the setting of time complexity.
We employ a novel approach to the design of quantum algorithms based on what we call transducers.
arXiv Detail & Related papers (2023-11-27T14:45:19Z) - The Quantum Decoding Problem [0.23310087539224286]
We consider the quantum decoding problem, where we are given a superposition of noisy versions of a codeword.
We show that when the noise rate is small enough, then the quantum decoding problem can be solved in quantum time.
We also show that the problem can in principle be solved quantumly for noise rates for which the associated classical decoding problem cannot be solved.
arXiv Detail & Related papers (2023-10-31T17:21:32Z) - Quantum Clustering with k-Means: a Hybrid Approach [117.4705494502186]
We design, implement, and evaluate three hybrid quantum k-Means algorithms.
We exploit quantum phenomena to speed up the computation of distances.
We show that our hybrid quantum k-Means algorithms can be more efficient than the classical version.
arXiv Detail & Related papers (2022-12-13T16:04:16Z) - Quantum Worst-Case to Average-Case Reductions for All Linear Problems [66.65497337069792]
We study the problem of designing worst-case to average-case reductions for quantum algorithms.
We provide an explicit and efficient transformation of quantum algorithms that are only correct on a small fraction of their inputs into ones that are correct on all inputs.
arXiv Detail & Related papers (2022-12-06T22:01:49Z) - Complexity-Theoretic Limitations on Quantum Algorithms for Topological
Data Analysis [59.545114016224254]
Quantum algorithms for topological data analysis seem to provide an exponential advantage over the best classical approach.
We show that the central task of TDA -- estimating Betti numbers -- is intractable even for quantum computers.
We argue that an exponential quantum advantage can be recovered if the input data is given as a specification of simplices.
arXiv Detail & Related papers (2022-09-28T17:53:25Z) - Quantum Error Correction via Noise Guessing Decoding [0.0]
Quantum error correction codes (QECCs) play a central role in both quantum communications and quantum computation.
This paper shows that it is possible to both construct and decode QECCs that can attain the maximum performance of the finite blocklength regime.
arXiv Detail & Related papers (2022-08-04T16:18:20Z) - Entanglement and coherence in Bernstein-Vazirani algorithm [58.720142291102135]
Bernstein-Vazirani algorithm allows one to determine a bit string encoded into an oracle.
We analyze in detail the quantum resources in the Bernstein-Vazirani algorithm.
We show that in the absence of entanglement, the performance of the algorithm is directly related to the amount of quantum coherence in the initial state.
arXiv Detail & Related papers (2022-05-26T20:32:36Z) - Finding the disjointness of stabilizer codes is NP-complete [77.34726150561087]
We show that the problem of calculating the $c-disjointness, or even approximating it to within a constant multiplicative factor, is NP-complete.
We provide bounds on the disjointness for various code families, including the CSS codes,$d codes and hypergraph codes.
Our results indicate that finding fault-tolerant logical gates for generic quantum error-correcting codes is a computationally challenging task.
arXiv Detail & Related papers (2021-08-10T15:00:20Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.