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8 - Predicate Transformer Semantics of Quantum Programs

Published online by Cambridge University Press:  05 July 2014

Mingsheng Ying
Affiliation:
University of Technology Sydney
Runyao Duan
Affiliation:
University of Technology Sydney
Yuan Feng
Affiliation:
University of Technology Sydney
Zhengfeng Ji
Affiliation:
Perinmeter Institute for Theoretical Physics
Simon Gay
Affiliation:
University of Glasgow
Ian Mackie
Affiliation:
Imperial College London
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Summary

Abstract

This chapter presents a systematic exposition of predicate transformer semantics for quantum programs. It is divided into two parts: The first part reviews the state transformer (forward) semantics of quantum programs according to Selinger's suggestion of representing quantum programs by superoperators and elucidates D'Hondt-Panangaden's theory of quantum weakest preconditions in detail. In the second part, we develop a quite complete predicate transformer semantics of quantum programs based on Birkhoff-von Neumann quantum logic by considering only quantum predicates expressed by projection operators. In particular, the universal conjunctivity and termination law of quantum programs are proved, and Hoare's induction rule is established in the quantum setting.

8.1 Introduction

In the mid-1990s Shor and Grover discovered, respectively, the famous quantum factoring and searching algorithms. Their discoveries indicated that in principle quantum computers offer a way to accomplish certain computational tasks much more efficiently than classical computers, and thus stimulated an intensive investigation in quantum computation. Since then a substantial effort has been made to develop the theory of quantum computation, to find new quantum algorithms, and to exploit the physical techniques needed in building functional quantum computers, including in particular fault tolerance techniques.

Currently, quantum algorithms are expressed mainly at the very low level of quantum circuits. In the history of classical computation, however, it was realized long time ago that programming languages provide a technique that allows us to think about a problem that we intend to solve in a high-level, conceptual way, rather than the details of implementation.

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