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Formal verification using proof assistants, such as Coq, is an effective way of improving software quality, but requires significant effort and expertise. Machine learning can automatically synthesize proofs, but such tools are able to…

Logic in Computer Science · Computer Science 2026-04-08 Saketh Ram Kasibatla , Arpan Agarwal , Yuriy Brun , Sorin Lerner , Talia Ringer , Emily First

We generalize the feasible interpolation theorem for semantic derivations from K.(1997) by allowing randomized protocols (protocols in the sense of K.(1997). We also introduce an extension of the monotone circuit model, monotone circuits…

Logic · Mathematics 2018-11-26 Jan Krajicek

We propose reductions to quantified Boolean formulas (QBF) as a new approach to showing fixed-parameter linear algorithms for problems parameterized by treewidth. We demonstrate the feasibility of this approach by giving new algorithms for…

Artificial Intelligence · Computer Science 2018-05-23 Michael Lampis , Stefan Mengel , Valia Mitsou

In various provers and deductive verification tools, logical transformations are used extensively in order to reduce a proof task into a number of simpler tasks. Logical transformations are often part of the trusted base of such tools. In…

Logic in Computer Science · Computer Science 2021-07-07 Quentin Garchery

The design space for inertial confinement fusion (ICF) experiments is vast and experiments are extremely expensive. Researchers rely heavily on computer simulations to explore the design space in search of high-performing implosions.…

Machine Learning · Computer Science 2021-05-19 K. D. Humbird , J. L. Peterson , J. Salmonson , B. K. Spears

Largely adopted by proof assistants, the conventional induction methods based on explicit induction schemas are non-reductive and local, at schema level. On the other hand, the implicit induction methods used by automated theorem provers…

Logic in Computer Science · Computer Science 2013-08-01 Amira Henaien , Sorin Stratulat

Research in uncertainty quantification (UQ) for large language models (LLMs) is increasingly important towards guaranteeing the reliability of this groundbreaking technology. We explore the integration of LLM UQ methods in argumentative…

Computation and Language · Computer Science 2026-05-08 Kevin Zhou , Adam Dejl , Gabriel Freedman , Lihu Chen , Antonio Rago , Francesca Toni

This paper presents a reinforcement learning approach of a model-free safety filter, drawing inspiration from the framework of model-based Predictive Safety Filters (PSFs). Similar to conventional PSFs, our method adopts a Quadratic…

Optimization and Control · Mathematics 2026-05-08 Bihui Yin , Yiwen Lu , Yuchen Jiang , Yilin Mo

We present a unified algorithmic framework for quantum simulation of non-unitary dynamics and matrix functions, governed by the principle of spectral aliasing derived from the Poisson Summation Formula (PSF). By reinterpreting…

Quantum Physics · Physics 2026-04-21 Chao Wang , Xi-Ning Zhuang , Menghan Dou , Zhao-Yun Chen , Guo-Ping Guo

Recent efforts in smart manufacturing have enhanced aerospace fuselage assembly processes, particularly by innovating shape adjustment techniques to minimize dimensional gaps between assembled sections. Existing approaches have shown…

Machine Learning · Computer Science 2025-12-01 Jiayu Liu , Chong Liu , Trevor Rhone , Yinan Wang

As quantum technology advances, quantum simulation becomes increasingly promising, with significant implications for quantum many-body physics and quantum chemistry. Despite being one of the most accessible simulation methods, the product…

Quantum Physics · Physics 2024-07-22 Wenjun Yu , Jue Xu , Qi Zhao

The variational quantum eigensolver (VQE) is one of the most appealing quantum algorithms to simulate electronic structure properties of molecules on near-term noisy intermediate-scale quantum devices. In this work, we generalize the VQE…

Quantum Physics · Physics 2022-06-09 Jie Liu , Lingyun Wan , Zhenyu Li , Jinlong Yang

We address the challenges of scaling verification efforts to match the increasing complexity and size of systems. We propose a research agenda aimed at building a performant proof engine by studying the asymptotic performance of proof…

Programming Languages · Computer Science 2024-08-16 Jason Gross , Andres Erbsen , Jade Philipoom , Rajashree Agrawal , Adam Chlipala

We present upper and lower bounds of the computational complexity of the two-way communication model of multiple-prover quantum interactive proof systems whose verifiers are limited to measure-many two-way quantum finite automata. We prove…

Quantum Physics · Physics 2015-08-25 Tomoyuki Yamakami

We show that interactive protocols between a prover and a verifier, a well-known tool of complexity theory, can be used in practice to certify the correctness of automated reasoning tools. Theoretically, interactive protocols exist for all…

Logic in Computer Science · Computer Science 2023-09-07 Eszter Couillard , Philipp Czerner , Javier Esparza , Rupak Majumdar

Efficient verification of entangled states is crucial to many applications in quantum information processing. However, the effectiveness of standard quantum state verification (QSV) is based on the condition of independent and identical…

Quantum Physics · Physics 2025-06-13 Wen-Hao Zhang , Zihao Li , Gong-Chu Li , Xu-Song Hong , Huangjun Zhu , Geng Chen , Chuan-Feng Li , Guang-Can Guo

Proof certificates can be used to validate the correctness of algebraic derivations. However, in practice, we frequently observed that the exact same proof steps are repeated for different sets of variables, which leads to unnecessarily…

Symbolic Computation · Computer Science 2025-07-29 Daniela Kaufmann , Clemens Hofstadler

We introduce notions of simulation between semiring-weighted automata as models of quantitative systems. Our simulations are instances of the categorical/coalgebraic notions previously studied by Hasuo---hence soundness against language…

Logic in Computer Science · Computer Science 2018-11-19 Natsuki Urabe , Ichiro Hasuo

An interactive theorem prover, Isabelle, is under development. In LCF, each inference rule is represented by one function for forwards proof and another (a tactic) for backwards proof. In Isabelle, each inference rule is represented by a…

Logic in Computer Science · Computer Science 2008-02-03 Lawrence C. Paulson

Suppose we have been sold on the idea that formalised proofs in an LCF system should resemble their written counterparts, and so consist of formulas that only provide signposts for a fully verified proof. To be practical, most of the fully…

Logic in Computer Science · Computer Science 2017-03-17 Phil Scott , Steven Obua , Jacques Fleuriot