Henrique Hepp , Murilo V.G. da Silva , Leandro M. Zatesko
{"title":"Oracle separations for non-adaptive collapse-free quantum computing","authors":"Henrique Hepp , Murilo V.G. da Silva , Leandro M. Zatesko","doi":"10.1016/j.tcs.2025.115078","DOIUrl":null,"url":null,"abstract":"<div><div>Aaronson et al. (2016) introduced the quantum complexity class <span><math><mi>naCQP</mi></math></span> (<em>non-adaptive Collapse-free Quantum Polynomial time</em>), also known as <span><math><mi>PDQP</mi></math></span> (<em>Product Dynamical Quantum Polynomial time</em>), aiming to define a class larger than <span><math><mi>BQP</mi></math></span> (<em>Bounded-error Quantum Polynomial time</em>), but not large enough to include <span><math><mi>NP</mi></math></span>-complete problems. Aaronson et al. showed that <span><math><mi>SZK</mi></math></span> (<em>Statistical Zero Knowledge</em>) is contained in <span><math><mi>naCQP</mi></math></span> and that there is an oracle <em>A</em> for which <span><math><msup><mrow><mi>NP</mi></mrow><mrow><mi>A</mi></mrow></msup><mo>⊈</mo><msup><mrow><mi>naCQP</mi></mrow><mrow><mi>A</mi></mrow></msup></math></span>. We prove that: there is an oracle <em>A</em> for which <span><math><msup><mrow><mi>P</mi></mrow><mrow><mi>A</mi></mrow></msup><mo>=</mo><msup><mrow><mi>BQP</mi></mrow><mrow><mi>A</mi></mrow></msup><mo>=</mo><msup><mrow><mi>SZK</mi></mrow><mrow><mi>A</mi></mrow></msup><mo>=</mo><msup><mrow><mi>naCQP</mi></mrow><mrow><mi>A</mi></mrow></msup><mo>≠</mo><msup><mrow><mo>(</mo><mi>UP</mi><mo>∩</mo><mi>coUP</mi><mo>)</mo></mrow><mrow><mi>A</mi></mrow></msup><mo>=</mo><msup><mrow><mi>EXP</mi></mrow><mrow><mi>A</mi></mrow></msup></math></span>, where <span><math><mi>UP</mi></math></span> (<em>Unambiguous Polynomial time</em>) is an important subclass of <span><math><mi>NP</mi></math></span>; relative to an oracle <em>A</em> chosen uniformly at random, it holds <span><math><msup><mrow><mo>(</mo><mi>UP</mi><mo>∩</mo><mi>coUP</mi><mo>)</mo></mrow><mrow><mi>A</mi></mrow></msup><mo>⊈</mo><msup><mrow><mi>naCQP</mi></mrow><mrow><mi>A</mi></mrow></msup></math></span> with probability 1. Our results are a strengthening of the results by Bennett et al. (1997), Fortnow and Rogers (1999), Tamon and Yamakami (2001), and Aaronson et al. (2016).</div></div>","PeriodicalId":49438,"journal":{"name":"Theoretical Computer Science","volume":"1030 ","pages":"Article 115078"},"PeriodicalIF":0.9000,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theoretical Computer Science","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304397525000167","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Aaronson et al. (2016) introduced the quantum complexity class (non-adaptive Collapse-free Quantum Polynomial time), also known as (Product Dynamical Quantum Polynomial time), aiming to define a class larger than (Bounded-error Quantum Polynomial time), but not large enough to include -complete problems. Aaronson et al. showed that (Statistical Zero Knowledge) is contained in and that there is an oracle A for which . We prove that: there is an oracle A for which , where (Unambiguous Polynomial time) is an important subclass of ; relative to an oracle A chosen uniformly at random, it holds with probability 1. Our results are a strengthening of the results by Bennett et al. (1997), Fortnow and Rogers (1999), Tamon and Yamakami (2001), and Aaronson et al. (2016).
期刊介绍:
Theoretical Computer Science is mathematical and abstract in spirit, but it derives its motivation from practical and everyday computation. Its aim is to understand the nature of computation and, as a consequence of this understanding, provide more efficient methodologies. All papers introducing or studying mathematical, logic and formal concepts and methods are welcome, provided that their motivation is clearly drawn from the field of computing.