2019
DOI: 10.1109/tcad.2018.2834427
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Advanced Simulation of Quantum Computations

Abstract: Quantum computation is a promising emerging technology which, compared to conventional computation, allows for substantial speed-ups e.g. for integer factorization or database search. However, since physical realizations of quantum computers are in their infancy, a significant amount of research in this domain still relies on simulations of quantum computations on conventional machines. This causes a significant complexity which current state-of-the-art simulators try to tackle with a rather straight forward a… Show more

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Cited by 99 publications
(87 citation statements)
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“…The number of single compute node generic [8][9][10] and specialised [11][12][13][14] simulators is rapidly growing. However despite many reported distributed simulators [2,3,[15][16][17][18][19][20] and proposals for GPU accelerated simulators [18,[21][22][23][24], QuEST is the first open source simulator available to offer both facilities, and the only simulator to offer support on all hardware plaforms commonly used in the classical simulation of quantum computation II.…”
Section: Introductionmentioning
confidence: 99%
“…The number of single compute node generic [8][9][10] and specialised [11][12][13][14] simulators is rapidly growing. However despite many reported distributed simulators [2,3,[15][16][17][18][19][20] and proposals for GPU accelerated simulators [18,[21][22][23][24], QuEST is the first open source simulator available to offer both facilities, and the only simulator to offer support on all hardware plaforms commonly used in the classical simulation of quantum computation II.…”
Section: Introductionmentioning
confidence: 99%
“…The state vector simulator does not store the full unitary matrix but only the state vector and single/multi qubit gate to apply. Both methods are discussed in [35], and [36,37,38] contains details on other techniques. Similar to the discussion of the ClassicalSimulator in ProjectQ, the local clifford simulator is able to efficiently simulate stabilizer circuits, which are not universal.…”
Section: Qiskitmentioning
confidence: 99%
“…Overall, QMDDs allow for both, a compact representation as well as an efficient manipulation of unitary matrices for quantum systems of considerable size. As a consequence, they have already been used in a broad variety of applications in the design of quantum circuits (e.g., verification [7,8,27,39,42], simulation [45,47], or synthesis [26,36,44]).…”
Section: Examplementioning
confidence: 99%