Energy Risk Analysis With Dynamic Amplitude Estimation and Piecewise Approximate Quantum Compiling
In this article, we generalize the approximate quantum compiling algorithm into a new method for <sc>cnot</sc>-depth reduction, which is apt to process wide target quantum circuits. Combining this method with state-of-the-art techniques for error mitigation and circuit compiling, we pres...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Transactions on Quantum Engineering |
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| Online Access: | https://ieeexplore.ieee.org/document/10592808/ |
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| author | Kumar Ghosh Kavitha Yogaraj Gabriele Agliardi Piergiacomo Sabino Fernandez-Campoamor Marina Bernabe-Moreno Juan Giorgio Cortiana Omar Shehab Corey O'Meara |
| author_facet | Kumar Ghosh Kavitha Yogaraj Gabriele Agliardi Piergiacomo Sabino Fernandez-Campoamor Marina Bernabe-Moreno Juan Giorgio Cortiana Omar Shehab Corey O'Meara |
| author_sort | Kumar Ghosh |
| collection | DOAJ |
| description | In this article, we generalize the approximate quantum compiling algorithm into a new method for <sc>cnot</sc>-depth reduction, which is apt to process wide target quantum circuits. Combining this method with state-of-the-art techniques for error mitigation and circuit compiling, we present a ten-qubit experimental demonstration of iterative amplitude estimation on a quantum computer. The target application is a derivation of the expected value of contract portfolios in the energy industry. In parallel, we also introduce a new variant of the quantum amplitude estimation algorithm, which we call dynamic amplitude estimation, as it is based on the dynamic circuit capability of quantum devices. The algorithm achieves a reduction in the circuit width in the order of the binary precision compared to the typical implementation of quantum amplitude estimation, while simultaneously decreasing the number of quantum–classical iterations (again in the order of the binary precision) compared to the iterative amplitude estimation. The calculation of the expected value, value at risk, and conditional value at risk of contract portfolios on quantum hardware provides a proof of principle of the new algorithm. |
| format | Article |
| id | doaj-art-05d766722e554080a3d4c8236e20bd82 |
| institution | Kabale University |
| issn | 2689-1808 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Transactions on Quantum Engineering |
| spelling | doaj-art-05d766722e554080a3d4c8236e20bd822025-01-25T00:03:45ZengIEEEIEEE Transactions on Quantum Engineering2689-18082024-01-01511710.1109/TQE.2024.342596910592808Energy Risk Analysis With Dynamic Amplitude Estimation and Piecewise Approximate Quantum CompilingKumar Ghosh0https://orcid.org/0000-0002-4628-6951Kavitha Yogaraj1Gabriele Agliardi2https://orcid.org/0000-0002-1692-9047Piergiacomo Sabino3https://orcid.org/0000-0003-2072-2353Fernandez-Campoamor Marina4Bernabe-Moreno Juan5Giorgio Cortiana6https://orcid.org/0000-0001-8745-5021Omar Shehab7https://orcid.org/0000-0002-1689-6046Corey O'Meara8https://orcid.org/0000-0001-7056-7545E.ON Digital Technology GmbH, Essen, GermanyIBM Quantum, IBM Research, Bangalore, IndiaIBM Quantum, IBM Research, Segrate, ItalyE.ON SE, Essen, GermanyE.ON Digital Technology GmbH, Essen, GermanyIBM Research Europe, Dublin, IrelandE.ON Digital Technology GmbH, Essen, GermanyIBM Quantum, IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USAE.ON Digital Technology GmbH, Essen, GermanyIn this article, we generalize the approximate quantum compiling algorithm into a new method for <sc>cnot</sc>-depth reduction, which is apt to process wide target quantum circuits. Combining this method with state-of-the-art techniques for error mitigation and circuit compiling, we present a ten-qubit experimental demonstration of iterative amplitude estimation on a quantum computer. The target application is a derivation of the expected value of contract portfolios in the energy industry. In parallel, we also introduce a new variant of the quantum amplitude estimation algorithm, which we call dynamic amplitude estimation, as it is based on the dynamic circuit capability of quantum devices. The algorithm achieves a reduction in the circuit width in the order of the binary precision compared to the typical implementation of quantum amplitude estimation, while simultaneously decreasing the number of quantum–classical iterations (again in the order of the binary precision) compared to the iterative amplitude estimation. The calculation of the expected value, value at risk, and conditional value at risk of contract portfolios on quantum hardware provides a proof of principle of the new algorithm.https://ieeexplore.ieee.org/document/10592808/Approximate quantum compiling (AQC)dynamic circuitserror mitigationquantum amplitude estimation (QAE)quantum computingrisk analysis |
| spellingShingle | Kumar Ghosh Kavitha Yogaraj Gabriele Agliardi Piergiacomo Sabino Fernandez-Campoamor Marina Bernabe-Moreno Juan Giorgio Cortiana Omar Shehab Corey O'Meara Energy Risk Analysis With Dynamic Amplitude Estimation and Piecewise Approximate Quantum Compiling IEEE Transactions on Quantum Engineering Approximate quantum compiling (AQC) dynamic circuits error mitigation quantum amplitude estimation (QAE) quantum computing risk analysis |
| title | Energy Risk Analysis With Dynamic Amplitude Estimation and Piecewise Approximate Quantum Compiling |
| title_full | Energy Risk Analysis With Dynamic Amplitude Estimation and Piecewise Approximate Quantum Compiling |
| title_fullStr | Energy Risk Analysis With Dynamic Amplitude Estimation and Piecewise Approximate Quantum Compiling |
| title_full_unstemmed | Energy Risk Analysis With Dynamic Amplitude Estimation and Piecewise Approximate Quantum Compiling |
| title_short | Energy Risk Analysis With Dynamic Amplitude Estimation and Piecewise Approximate Quantum Compiling |
| title_sort | energy risk analysis with dynamic amplitude estimation and piecewise approximate quantum compiling |
| topic | Approximate quantum compiling (AQC) dynamic circuits error mitigation quantum amplitude estimation (QAE) quantum computing risk analysis |
| url | https://ieeexplore.ieee.org/document/10592808/ |
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