We formalize the theory of quantum Hoare logic (QHL) [TOPLAS 33(6),19], an extension of Hoare logic for reasoning about quantum programs. In particular, we formalize the syntax and semantics of quantum programs in Isabelle/HOL, write down the rules of quantum Hoare logic, and verify the soundness and completeness of the deduction system for partial correctness of quantum programs. As preliminary work, we formalize some necessary mathematical background in linear algebra, and define tensor products of vectors and matrices on quantum variables. As an application, we verify the correctness of Grover's search algorithm. To our best knowledge, this is the first time a Hoare logic for quantum programs is formalized in an interactive theorem prover, and used to verify the correctness of a nontrivial quantum algorithm.

We give a quantum algorithm for evaluating a class of boolean formulas (such as NAND trees and 3-majority trees) on a restricted set of inputs. Due to the structure of the allowed inputs, our algorithm can evaluate a depth n tree using O(n 2+log ω ) queries, where ω is independent of n and depends only on the type of subformulas within the tree. We also prove a classical lower bound of n Ω(log log n) queries, thus showing a (small) super-polynomial speed-up.

We formalize the definition and basic properties of smooth manifolds in Isabelle/HOL. Concepts covered include partition of unity, tangent and cotangent spaces, and the fundamental theorem for line integrals. We also construct some concrete manifolds such as spheres and projective spaces. The formalization makes extensive use of the existing libraries for topology and analysis. The existing library for linear algebra is not flexible enough for our needs. We therefore set up the first systematic and large scale application of "types to sets". It allows us to automatically transform the existing (type based) library of linear algebra to one with explicit carrier sets. CCS Concepts • Theory of computation → Higher order logic; Logic and verification; • Mathematics of computing → Geometric topology.