Homepage RC
Invited Talks

Invited Talks

Samson Abramsky

University of Oxford, UK

DEMONIC programming: a computational language for single-particle equilibrium thermodynamics, and its formal semantics

Maxwell's Demon, ?a being whose faculties are so sharpened that he can follow every molecule in its course', has been the centre of much debate about its abilities to violate the second law of thermodynamics. Landauer's hypothesis, that the Demon must erase its memory and incur a thermodynamic cost, has become the standard response to Maxwell's dilemma, and its implications for the thermodynamics of computation reach into many areas of quantum and classical computing. It remains, however, still a hypothesis. Debate has often centred around simple toy models of a single particle in a box. Despite their simplicity, the ability of these systems to accurately represent thermodynamics (specifically to satisfy the second law) and whether or not they display Landauer Erasure, has been a matter of ongoing argument. The recent Norton-Ladyman controversy is one such example.

In this talk we present a programming language to describe these simple thermodynamic processes, and give a formal operational semantics and program logic as a basis for formal reasoning about thermodynamic systems. We formalise the basic single-particle operations as statements in the language, and then show that the second law must be satisfied by any composition of these basic operations. This is done by finding a computational invariant of the system. We show, furthermore, that this invariant requires an erasure cost to exist within the system, equal to kT ln 2 for a bit of information: Landauer Erasure becomes a theorem of the formal system. The Norton-Ladyman controversy can therefore be resolved in a rigorous fashion, and moreover the formalism we introduce gives a set of reasoning tools for further analysis of Landauer erasure, which are provably consistent with the second law of thermodynamics.

Adam Whiteside

University of Melbourne, Australia and Google

Classical Problems to Make Quantum Computing a Reality

Recent experiments have shown exciting progress toward creating reliable quantum bits (qubits) that will make up tomorrow's quantum computers. While experiments and engineers continue to make the physical side a reality, computer scientists and software engineers will be essential to getting the most out of such expensive hardware. An entire stack of classical software must be developed, requiring creative solutions to a broad range of problems. We provide an introduction to quantum computing and an overview of the problems left to face in an effort to inspire more research in these important areas.