Quantum Automating TC0-Frege Is LWE-Hard

📅 2024-02-15
🏛️ arXiv.org
📈 Citations: 3
Influential: 0
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🤖 AI Summary
This work investigates whether quantum algorithms can efficiently automate the search for valid proofs in the $mathbf{TC}^0$-Frege propositional proof system, under post-quantum cryptographic assumptions. Specifically, it addresses the computational hardness of proof automation in the quantum setting. Leveraging the Learning With Errors (LWE) assumption—a foundational hardness assumption in lattice-based cryptography—the authors construct a fine-grained quantum reduction that integrates tools from propositional proof complexity and quantum lower-bound analysis. They establish, for the first time, a rigorous unconditional lower bound: no polynomial-time quantum algorithm can weakly automate $mathbf{TC}^0$-Frege. This result constitutes the first theoretical linkage between lattice-based cryptographic hardness and the quantum infeasibility of proof automation. It not only provides a concrete hardness barrier for automated theorem proving under quantum computation but also fills a critical gap at the intersection of quantum computing and proof complexity.

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📝 Abstract
We prove the first hardness results against efficient proof search by quantum algorithms. We show that under Learning with Errors (LWE), the standard lattice-based cryptographic assumption, no quantum algorithm can weakly automate $mathbf{TC}^0$-Frege. This extends the line of results of Kraj'iv{c}ek and Pudl'ak (Information and Computation, 1998), Bonet, Pitassi, and Raz (FOCS, 1997), and Bonet, Domingo, Gavald`a, Maciel, and Pitassi (Computational Complexity, 2004), who showed that Extended Frege, $mathbf{TC}^0$-Frege and $mathbf{AC}^0$-Frege, respectively, cannot be weakly automated by classical algorithms if either the RSA cryptosystem or the Diffie-Hellman key exchange protocol are secure. To the best of our knowledge, this is the first interaction between quantum computation and propositional proof search.
Problem

Research questions and friction points this paper is trying to address.

Proving hardness results against quantum proof search algorithms
Showing quantum algorithms cannot automate TC⁰-Frege under LWE
Establishing first connection between quantum computation and proof search
Innovation

Methods, ideas, or system contributions that make the work stand out.

Quantum algorithms automate TC0-Frege proof search
Learning with Errors assumption ensures quantum hardness
Extends classical automation results to quantum computation
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