POPL 2020 (series) / PLanQC 2020 (series) / Programming Languages for Quantum Computing /
Runtime Analysis of Quantum Programs: A Formal Approach
In this abstract we study the resource consumption of quantum programs. Specifically, we focus on the expected runtime of programs and, inspired by recent methods for probabilistic programs, we develop a calculus à la weakest precondition to formally and systematically derive the (exact) expected runtime of quantum programs. Notably, the calculus admits a notion of loop runtime invariant that can be readily used to derive upper bounds of their runtime. Finally, we show the applicability of our calculus analyzing the runtime of (a simplified version of) the BB84 quantum key distribution protocol.
Slides (PLanQC'20 - Slides.pdf) | 6.8MiB |
Sun 19 JanDisplayed time zone: Saskatchewan, Central America change
Sun 19 Jan
Displayed time zone: Saskatchewan, Central America change
14:00 - 15:05 | |||
14:00 20mTalk | Runtime Analysis of Quantum Programs: A Formal Approach PLanQC Pre-print File Attached | ||
14:20 20mTalk | Qbricks: formal verification in quantum computing PLanQC Christopĥe Chareton CEA, LIST, France, Sébastien Bardin CEA LIST, François Bobot CEA, Valentin Perrelle CEA, LIST, France, Benoit Valiron LRI, CentraleSupelec, Univ. Paris Saclay File Attached | ||
14:40 25mTalk | Merged Talk: A Verified Optimizer for Quantum Circuits & Verified Translation Between Low-Level Quantum Languages PLanQC Kesha Hietala University of Maryland, Kartik Singhal University of Chicago, Robert Rand University of Maryland, Shih-Han Hung University of Maryland, Xiaodi Wu University of Maryland, College Park, Michael Hicks University of Maryland Media Attached |