Validating quantum-classical programming models with tensor network simulations

The exploration of hybrid quantum-classical algorithms and programming models on noisy near-term quantum hardware has begun. As hybrid programs scale towards classical intractability, validation and benchmarking are critical to understanding the utility of the hybrid computational model. In this pap...

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Vydáno v:PloS one Ročník 13; číslo 12; s. e0206704
Hlavní autoři: McCaskey, Alexander, Dumitrescu, Eugene, Chen, Mengsu, Lyakh, Dmitry, Humble, Travis
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Public Library of Science 10.12.2018
Public Library of Science (PLoS)
Témata:
Algorithms
Analysis
Backup software
Benchmarking
Circuits
Computer and Information Sciences
Computer applications
Computer engineering
Computer simulation
Extensibility
Hardware
Integrated circuits
Laboratories
Mathematical analysis
Mathematical models
Mathematical programming
MATHEMATICS AND COMPUTING
Models, Theoretical
Neural Networks, Computer
Physical Sciences
Physics
Program verification (computers)
Programming
Programming Languages
Quantum theory
Qubits (quantum computing)
R&D
Research & development
Research and Analysis Methods
Science & Technology - Other Topics
Simulation
Simulators
State vectors
Tensors
Virtual environments
United States > US
Virginia
Tennessee
ISSN:1932-6203, 1932-6203
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Shrnutí:The exploration of hybrid quantum-classical algorithms and programming models on noisy near-term quantum hardware has begun. As hybrid programs scale towards classical intractability, validation and benchmarking are critical to understanding the utility of the hybrid computational model. In this paper, we demonstrate a newly developed quantum circuit simulator based on tensor network theory that enables intermediate-scale verification and validation of hybrid quantum-classical computing frameworks and programming models. We present our tensor-network quantum virtual machine (TNQVM) simulator which stores a multi-qubit wavefunction in a compressed (factorized) form as a matrix product state, thus enabling single-node simulations of larger qubit registers, as compared to brute-force state-vector simulators. Our simulator is designed to be extensible in both the tensor network form and the classical hardware used to run the simulation (multicore, GPU, distributed). The extensibility of the TNQVM simulator with respect to the simulation hardware type is achieved via a pluggable interface for different numerical backends (e.g., ITensor and ExaTENSOR numerical libraries). We demonstrate the utility of our TNQVM quantum circuit simulator through the verification of randomized quantum circuits and the variational quantum eigensolver algorithm, both expressed within the eXtreme-scale ACCelerator (XACC) programming model.
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SourceType-Scholarly Journals-1
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USDOE
AC05-00OR22725; AC05-00OR22750
Competing Interests: The authors have declared that no competing interests exists.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0206704