Quantum supremacy using a programmable superconducting processor
Data files
Oct 22, 2019 version files 2.36 GB
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README.md
Oct 23, 2019 version files 2.36 GB
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README.md
Jan 23, 2020 version files 9.97 GB
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README.md
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som_params_by_qubit.csv
Jan 23, 2020 version files 9.48 GB
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fidelity_4a.csv
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fidelity_4b.csv
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README.md
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som_params_by_qubit.csv
Jan 22, 2021 version files 9.51 GB
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fidelity_4a.csv
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fidelity_4b.csv
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README.md
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readout_raw_data.tar.gz
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som_params_by_qubit.csv
May 18, 2021 version files 12.35 GB
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fidelity_4a.csv
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fidelity_4b.csv
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README.md
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readout_raw_data.tar.gz
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som_params_by_qubit.csv
Jun 13, 2022 version files 13.32 GB
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fidelity_4a.csv
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fidelity_4b.csv
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README.md
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readout_raw_data.tar.gz
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som_params_by_qubit.csv
Abstract
The tantalizing promise of quantum computers is that certain computational tasks might be executed exponentially faster on a quantum processor than on a classical processor. A fundamental challenge is to build a high-fidelity processor capable of running quantum algorithms in an exponentially large computational space. Here, we report using a processor with programmable superconducting qubits to create quantum states on 53 qubits, corresponding to a computational state-space of dimension 2^53 ∼ 10^16. Measurements from repeated experiments sample the corresponding probability distribution, which we verify using classical simulations. While our processor takes about 200 seconds to sample one instance of a quantum circuit 1 million times, a state-of-the-art supercomputer would require approximately 10,000 years to perform the equivalent task. This dramatic speedup relative to all known classical algorithms provides an experimental realization of quantum supremacy on a computational task and heralds the advent of a much-anticipated computing paradigm.
Methods
This dataset defines the Random Quantum Circuits (RQCs) used in our quantum supremacy demonstration and lists the bitstrings observed in the experimental executions of the circuits on the Sycamore processor.
Usage notes
Please see Readme file.