QCWAVE, a Mathematica quantum computer simulation update

TL;DR

QCWAVE is an upgraded Mathematica package that enhances quantum computer simulation by focusing on quantum states, enabling efficient gate operations, parallel processing, and error correction simulations for quantum algorithms.

Contribution

The paper introduces QCWAVE, a novel extension of QDENSITY, emphasizing quantum state simulations, parallel processing, and error correction capabilities in Mathematica.

Findings

Efficient simulation of quantum gates using small matrices.

Implementation of parallel error correction simulations.

Demonstration of the multiverse approach for error analysis.

Abstract

This Mathematica 7.0/8.0 package upgrades and extends the quantum computer simulation code called QDENSITY. Use of the density matrix was emphasized in QDENSITY, although that code was also applicable to a quantum state description. In the present version, the quantum state version is stressed and made amenable to future extensions to parallel computer simulations. The add-on QCWAVE extends QDENSITY in several ways. The first way is to describe the action of one, two and three- qubit quantum gates as a set of small ($2 \times 2, 4\times 4$ or $8\times 8$) matrices acting on the $2^{n_q}$ amplitudes for a system of $n_q$ qubits. This procedure was described in our parallel computer simulation QCMPI and is reviewed here. The advantage is that smaller storage demands are made, without loss of speed, and that the procedure can take advantage of message passing interface (MPI) techniques, which will hopefully be generally available in future Mathematica versions. Another extension of QDENSITY provided here is a multiverse approach, as described in our QCMPI paper. This multiverse approach involves using the present slave-master parallel processing capabilities of Mathematica 7.0/8.0 to simulate errors and error correction. The basic idea is that parallel versions of QCWAVE run simultaneously with random errors introduced on some of the processors, with an ensemble average used to represent the real world situation. Within this approach, error correction steps can be simulated and their efficacy tested. This capability allows one to examine the detrimental effects of errors and the benefits of error correction on particular quantum algorithms.