PyQBench: A Python']Python library for benchmarking gate-based quantum computers

被引：1
|
作者：
Jalowiecki, Konrad [1 ]
Lewandowska, Paulina [1 ]
Pawela, Lukasz [1 ]
机构：
[1] Polish Acad Sci, Inst Theoret & Appl Informat, Bałtycka 5, PL-44100 Gliwice, Poland
来源：
SOFTWAREX | 2023年 / 24卷
关键词：
Quantum computing; Benchmarking quantum computers; Discrimination of quantum measurements; Discrimination of von Neumann measurements; Open-source; !text type='Python']Python[!/text] programming; SUPREMACY;
D O I：
10.1016/j.softx.2023.101558
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
We introduce PyQBench, an innovative open-source framework for benchmarking gate-based quantum computers. PyQBench can benchmark NISQ devices by verifying their capability of discriminating between two von Neumann measurements. PyQBench offers a simplified, ready-to-use, command line interface (CLI) for running benchmarks using a predefined family of measurements. For more advanced scenarios, PyQBench offers a way of employing user-defined measurements instead of predefined ones.
引用
收藏
页数：7
相关论文
共 50 条
  • [1] Benchmarking gate-based quantum computers
    Michielsen, Kristel
    Nocon, Madita
    Willsch, Dennis
    Jin, Fengping
    Lippert, Thomas
    De Raedt, Hans
    COMPUTER PHYSICS COMMUNICATIONS, 2017, 220 : 44 - 55
  • [2] Rapidae: A Python']Python library for creation, experimentation, and benchmarking of Autoencoder models
    Costa, N.
    Perez, L.
    Sanchez, L.
    2024 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, FUZZ-IEEE 2024, 2024,
  • [3] Simulating Quantum Field Theories on Gate-Based Quantum Computers
    Vinod, Gayathree M.
    Shaji, Anil
    IEEE TRANSACTIONS ON QUANTUM ENGINEERING, 2024, 5 : 1 - 14
  • [4] VERONA: A python']python library for benchmarking deep learning in business process monitoring
    Gamallo-Fernandez, Pedro
    Rama-Maneiro, Efren
    Vidal, Juan C.
    Lama, Manuel
    SOFTWAREX, 2024, 26
  • [5] Inflation: a Python']Python library for classical and quantum causal compatibility
    Boghiu, Emanuel-Cristian
    Wolfe, Elie
    Pozas-Kerstjens, Alejandro
    QUANTUM, 2023, 7
  • [6] PySyComp: A Symbolic Python']Python Library for the Undergraduate Quantum Chemistry Course
    Stippell, Elizabeth
    Akimov, Alexey V.
    Prezhdo, Oleg V.
    JOURNAL OF CHEMICAL EDUCATION, 2023, 100 (10) : 4077 - 4084
  • [7] Python']Python based Memristor Model Library for Variability Analysis
    Radhakrishnan, Aswani
    Babu, Sreeja
    James, Alex
    2023 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, ISCAS, 2023,
  • [8] PySEF: A python']python library for similarity-based dimensionality reduction
    Passalis, Nikolaos
    Tefas, Anastasios
    KNOWLEDGE-BASED SYSTEMS, 2018, 152 : 186 - 187
  • [9] FragBuilder: an efficient Python']Python library to setup quantum chemistry calculations on peptides models
    Christensen, Anders S.
    Hamelrycle, Thomas
    Jensen, Jan H.
    PEERJ, 2014, 2 : 1 - 13
  • [10] Fanpy: A python']python library for prototyping multideterminant methods in ab initio quantum chemistry
    Kim, Taewon D.
    Richer, M.
    Sanchez-Diaz, Gabriela
    Miranda-Quintana, Ramon Alain
    Verstraelen, Toon
    Heidar-Zadeh, Farnaz
    Ayers, Paul W.
    JOURNAL OF COMPUTATIONAL CHEMISTRY, 2023, 44 (05) : 697 - 709
12345