Title :
LEQA: Latency estimation for a quantum algorithm mapped to a quantum circuit fabric
Author :
Dousti, Mohammad Javad ; Pedram, Massoud
Author_Institution :
Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
fDate :
May 29 2013-June 7 2013
Abstract :
This paper presents LEQA, a fast latency estimation tool for evaluating the performance of a quantum algorithm mapped to a quantum fabric. The actual quantum algorithm latency can be computed by performing detailed scheduling, placement and routing of the quantum instructions and qubits in a quantum operation dependency graph on a quantum circuit fabric. This is, however, a very expensive proposition that requires large amounts of processing time. Instead, LEQA, which is based on computing the neighborhood population counts of qubits, can produce estimates of the circuit latency with good accuracy (i.e., an average of less than 3% error) with up to two orders of magnitude speedup for mid-size benchmarks. This speedup is expected to increase superlinearly as a function of circuit size (operation count).
Keywords :
CAD; instruction sets; quantum computing; scheduling; LEQA; latency estimation tool; quantum algorithm; quantum circuit fabric; quantum fabric; quantum instructions; Equations; Estimation; Fabrics; Logic gates; Mathematical model; Quantum computing; Routing; CAD tool; Quantum computing; algorithm; latency estimation; quantum fabric;
Conference_Titel :
Design Automation Conference (DAC), 2013 50th ACM/EDAC/IEEE
Conference_Location :
Austin, TX