Quantum computing simulator on a heterogenous HPC system

Doi, Jun; Takahashi, Hiroyuki; Raymond, Rudy; Imamichi, Takashi; Horii, Hiroshi

doi:10.1145/3310273.3323053

Cited by 29 publications

(14 citation statements)

References 8 publications

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“…Table I shows the results of our evaluations. Here, the first two columns identify the benchmark circuit and the respective number of decisions (i.e., cross-block gates) 2 . Then, the runtime of the JKQ DDSIM Schrödinger-style simulator is listed, while the remaining four columns contain the runtime and the speedup for the general decision diagram-based hybrid Schrödinger-Feynman scheme (see Section IV-A) and the optimized scheme using arrays for the final additions (see Section IV-C), respectively.…”

Section: Resultsmentioning

confidence: 99%

Hybrid Schrödinger-Feynman Simulation of Quantum Circuits With Decision Diagrams

Burgholzer

Bauer

Wille

2021

2021 IEEE International Conference on Quantum Computing and Engineering (QCE)

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Classical simulations of quantum computations are vital for the future development of this emerging technology. To this end, decision diagrams have been proposed as a complementary technique which frequently allows to tackle the inherent exponential complexity of these simulations. In the worst case, however, they still cannot escape this complexity. Additionally, while other techniques make use of all the available processing power, decision diagram-based simulation to date cannot exploit the many processing units of today's systems. In this work, we show that both problems can be tackled together by employing a hybrid Schrödinger-Feynman scheme for the simulation. More precisely, we show that realizing such a scheme with decision diagrams is indeed possible, we discuss the resulting problems in its realization, and propose solutions how they can be handled. Experimental evaluations confirm that this significantly advances the state of the art in decision diagram-based simulationallowing to simulate certain hard circuits within minutes that could not be simulated in a whole day thus far.

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Section: Resultsmentioning

confidence: 99%

Hybrid Schrödinger-Feynman Simulation of Quantum Circuits With Decision Diagrams

Burgholzer

Bauer

Wille

2021

2021 IEEE International Conference on Quantum Computing and Engineering (QCE)

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“…13, we could simulate up to 35 qubits on a single node. The base implementation without the cache blocking technique is described in [11] and chunks are exchanged when the target qubits of the gates are larger or equals to chunk qubit. The base implementation was implemented as the set of a State and qubit register classes shown in Fig.…”

Section: A Computer Environmentmentioning

confidence: 99%

“…Universal quantum computing simulations [4]- [6] are now available for developing quantum applications with smaller numbers of qubits (around 20 qubits) on classical computers, even on desktop or laptop personal computers. To simulate rather more qubits (around 50-qubits), parallel simulators [7]- [11] must store the quantum state in the huge distributed memory in parallel-processing computers. Parallel computing has the advantage of accelerating simulations that require a huge amount of computational power.…”

Section: Introductionmentioning

confidence: 99%

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Cache Blocking Technique to Large Scale Quantum Computing Simulation on Supercomputers

Doi,

Horii

2021

Preprint

Self Cite

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Classical computers require large memory resources and computational power to simulate quantum circuits with a large number of qubits. Even supercomputers that can store huge amounts of data face a scalability issue in regard to parallel quantum computing simulations because of the latency of data movements between distributed memory spaces. Here, we apply a cache blocking technique by inserting swap gates in quantum circuits to decrease data movements. We implemented this technique in the open source simulation framework Qiskit Aer. We evaluated our simulator on GPU clusters and observed good scalability.

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“…The simulation of circuit-based quantum processors is already implemented by several research collaborations and companies. Some notable examples of simulation software which are based on linear algebra approach are Cirq [19] and TensorFlow Quantum (TFQ) [20] from Google, Qiskit from IBM Q [21], PyQuil from Rigetti [22], Intel-QS (qHipster) from Intel [23] , QCGPU [24] and Qulacs [25], among others [26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45]. While the simulation techniques and hardware-specific configurations are well defined for each simulation software, there are no simulation tools that can take full advantage of hardware acceleration in single and double precision computations, through a simple interface which allows the user to switch from multithreading CPU, single GPU, and distributed multi-GPU/CPU setups.…”

Section: Introductionmentioning

confidence: 99%

Qibo: a framework for quantum simulation with hardware acceleration

Efthymiou,

Ramos-Calderer,

Bravo-Prieto

et al. 2020

Preprint

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We present Qibo, a new open-source software for fast evaluation of quantum circuits and adiabatic evolution which takes full advantage of hardware accelerators. The growing interest in quantum computing and the recent developments of quantum hardware devices motivates the development of new advanced computational tools focused on performance and usage simplicity. In this work we introduce a new quantum simulation framework that enables developers to delegate all complicated aspects of hardware or platform implementation to the library so they can focus on the problem and quantum algorithms at hand. This software is designed from scratch with simulation performance, code simplicity and user friendly interface as target goals. It takes advantage of hardware acceleration such as multi-threading CPU, single GPU and multi-GPU devices.

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Quantum computing simulator on a heterogenous HPC system

Cited by 29 publications

References 8 publications

Hybrid Schrödinger-Feynman Simulation of Quantum Circuits With Decision Diagrams

Hybrid Schrödinger-Feynman Simulation of Quantum Circuits With Decision Diagrams

Cache Blocking Technique to Large Scale Quantum Computing Simulation on Supercomputers

Qibo: a framework for quantum simulation with hardware acceleration

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