A Classical Quadratic Speedup for Planted $k$XOR
- URL: http://arxiv.org/abs/2508.09422v1
- Date: Wed, 13 Aug 2025 01:45:47 GMT
- Title: A Classical Quadratic Speedup for Planted $k$XOR
- Authors: Meghal Gupta, William He, Ryan O'Donnell, Noah G. Singer,
- Abstract summary: A recent work of Schmidhuber et al exhibited a quantum algorithm for the noisy planted $k$XOR problem running quartically faster than all known classical algorithms.<n>We design a new classical algorithm that is quadratically faster than the best previous one, in the case of large constant $k$.
- Score: 1.593690982728631
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: A recent work of Schmidhuber et al (QIP, SODA, & Phys. Rev. X 2025) exhibited a quantum algorithm for the noisy planted $k$XOR problem running quartically faster than all known classical algorithms. In this work, we design a new classical algorithm that is quadratically faster than the best previous one, in the case of large constant $k$. Thus for such $k$, the quantum speedup of Schmidhuber et al. becomes only quadratic (though it retains a space advantage). Our algorithm, which also works in the semirandom case, combines tools from sublinear-time algorithms (essentially, the birthday paradox) and polynomial anticoncentration.
Related papers
- Sum-of-Squares inspired Quantum Metaheuristic for Polynomial Optimization with the Hadamard Test and Approximate Amplitude Constraints [76.53316706600717]
Recently proposed quantum algorithm arXiv:2206.14999 is based on semidefinite programming (SDP)
We generalize the SDP-inspired quantum algorithm to sum-of-squares.
Our results show that our algorithm is suitable for large problems and approximate the best known classicals.
arXiv Detail & Related papers (2024-08-14T19:04:13Z) - Quartic quantum speedups for planted inference [44.820711784498]
We describe a quantum algorithm for the Planted Noisy $k$XOR problem.<n>Our work suggests that some constructions are susceptible to super-quadratic quantum attacks.
arXiv Detail & Related papers (2024-06-27T17:54:28Z) - A Quadratic Speedup in Finding Nash Equilibria of Quantum Zero-Sum Games [95.50895904060309]
We introduce the Optimistic Matrix Multiplicative Weights Update (OMMWU) algorithm and establish its average-iterate convergence complexity as $mathcalO(d/epsilon)$ to $epsilon$-Nash equilibria.<n>This quadratic speed-up sets a new benchmark for computing $epsilon$-Nash equilibria in quantum zero-sum games.
arXiv Detail & Related papers (2023-11-17T20:38:38Z) - Quantum Multiplication Algorithm Based on the Convolution Theorem [0.0]
We propose a quantum algorithm for integer multiplication with time complexity $O(sqrtnlog2 n)$.
Unlike the Harvey algorithm, our algorithm does not have the restriction of being applicable solely to extremely large numbers.
The paper also reviews the history and development of classical multiplication algorithms and motivates us to explore how quantum resources can provide new perspectives and possibilities for this fundamental problem.
arXiv Detail & Related papers (2023-06-14T12:40:54Z) - Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games [10.79781442303645]
We propose the first online quantum algorithm for solving zero-sum games.
Our algorithm generates classical outputs with succinct descriptions.
At the heart of our algorithm is a fast quantum multi-sampling procedure for the Gibbs sampling problem.
arXiv Detail & Related papers (2023-04-27T14:02:54Z) - Recovering the original simplicity: succinct and deterministic quantum
algorithm for the welded tree problem [0.0]
This work revisits quantum algorithms for the well-known welded tree problem.
It proposes a very succinct quantum algorithm based on the simplest coined quantum walks.
arXiv Detail & Related papers (2023-04-17T16:03:50Z) - Private estimation algorithms for stochastic block models and mixture
models [63.07482515700984]
General tools for designing efficient private estimation algorithms.
First efficient $(epsilon, delta)$-differentially private algorithm for both weak recovery and exact recovery.
arXiv Detail & Related papers (2023-01-11T09:12:28Z) - Solving the semidefinite relaxation of QUBOs in matrix multiplication time, and faster with a quantum computer [0.157286095422595]
We show that some quantum SDO solvers provide speedups in the low-precision regime.<n>We exploit this fact to exponentially improve the dependence of their algorithm on precision.<n>A quantum implementation of our algorithm exhibits a worst case running time of $mathcalO left(ns + n1.5 cdot textpolylog left(n, | C |_F, frac1epsilon right)$.
arXiv Detail & Related papers (2023-01-10T23:12:05Z) - Mind the gap: Achieving a super-Grover quantum speedup by jumping to the
end [114.3957763744719]
We present a quantum algorithm that has rigorous runtime guarantees for several families of binary optimization problems.
We show that the algorithm finds the optimal solution in time $O*(2(0.5-c)n)$ for an $n$-independent constant $c$.
We also show that for a large fraction of random instances from the $k$-spin model and for any fully satisfiable or slightly frustrated $k$-CSP formula, statement (a) is the case.
arXiv Detail & Related papers (2022-12-03T02:45:23Z) - 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) - Hybrid Quantum-Classical Search Algorithms [0.0]
We show that classical computation, unless it by itself can solve the Search problem, cannot assist quantum computation.
We generalize this result to algorithms with subconstant success probabilities.
arXiv Detail & Related papers (2022-02-23T11:43:17Z) - Higher-order Derivatives of Weighted Finite-state Machines [68.43084108204741]
This work examines the computation of higher-order derivatives with respect to the normalization constant for weighted finite-state machines.
We provide a general algorithm for evaluating derivatives of all orders, which has not been previously described in the literature.
Our algorithm is significantly faster than prior algorithms.
arXiv Detail & Related papers (2021-06-01T19:51:55Z) - Improved Classical and Quantum Algorithms for the Shortest Vector Problem via Bounded Distance Decoding [4.5686700995634055]
We present new algorithms for provable classical/quantum algorithms for the Shortest Vector Problem (SVP)<n>A new algorithm for SVP that provides a smooth tradeoff between time complexity and memory requirement.<n>A quantum algorithm for SVP that runs in time $20.950n+o(n)$ and requires $20.5n+o(n)$ classical memory and poly(n) qubits.
arXiv Detail & Related papers (2020-02-19T01:38:34Z)
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.