New Lower-bounds for Quantum Computation with Non-Collapsing Measurements
David Miloschewsky, Supartha Podder

TL;DR
This paper establishes new lower bounds on the query complexity of quantum algorithms with non-collapsing measurements, including tight bounds for search and other problems, revealing limitations of PDQP.
Contribution
It introduces a new lower-bounding technique for PDQP, providing tighter bounds and analyzing the impact of query restrictions on quantum speed-ups.
Findings
Proves a tight a(N^{1/3})b bound on search.
Establishes tighter bounds for majority and element distinctness problems.
Shows limitations of non-adaptive queries combined with non-collapsing measurements.
Abstract
Aaronson, Bouland, Fitzsimons and Lee introduced the complexity class PDQP (which was original labeled naCQP), an alteration of BQP enhanced with the ability to obtain non-collapsing measurements, samples of quantum states without collapsing them. Although PDQP contains SZK, it still requires queries to solve unstructured search. We formulate an alternative equivalent definition of PDQP, which we use to prove the positive weighted adversary lower-bounding method, establishing multiple tighter bounds and a trade-off between queries and non-collapsing measurements. We utilize the technique in order to analyze the query complexity of the well-studied majority and element distinctness problems. Additionally, we prove a tight bound on search. Furthermore, we use the lower-bound to explore PDQP under query restrictions, finding that when combined with…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
