Estimating the Resources for Quantum Computation with the Qure Toolbox
ESTIMATING THE RESOURCES FOR QUANTUM COMPUTATION WITH THE QuRE TOOLBOX MARTIN SUCHARA1;a, ARVIN FARUQUE2, CHING-YI LAI3, GERARDO PAZ3, FREDERIC T. CHONG2, JOHN KUBIATOWICZ1 1Computer Science Division, UC Berkeley, 387 Soda Hall Berkeley, CA 94720, U.S.A. 2Computer Science Department, UC Santa Barbara, Harold Frank Hall Santa Barbara, CA 93106, U.S.A. 3Department of Electrical Engineering Systems, University of Southern California Los Angeles, CA 90089, U.S.A. This report describes the methodology employed by the Quantum Resource Estimator (QuRE) toolbox to quantify the resources needed to run quantum algorithms on quantum computers with realistic properties. The QuRE toolbox estimates several quantities including the number of physical qubits required to run a specified quantum algorithm, the execution time on each of the specified physical technologies, the probability of success of the computation, as well as physical gate counts with a breakdown by gate type. Estimates are performed for error-correcting codes from both the concatenated and topological code families. Our work, which provides these resource estimates for a cross product of seven quantum algorithms, six physical machine descriptions, several quantum control protocols, and four error-correcting codes, represents the most comprehensive resource estimation effort in the field of quantum computation to date. 1 Introduction Estimating the running time, number of qubits and other resources needed by realistic models of quantum computers is the first necessary step to reducing these resource requirements. This report describes our Quantum Resource Estimator (QuRE) toolbox which we used to calculate resource estimates for a cross product of several quantum algorithms, quantum technologies, and error-correction techniques.
[Show full text]