| Paper Abstract and Keywords |
| Presentation |
2023-05-29 16:30
[Poster Presentation]
Improving the Performance of Quantum GANs through Label Replacement
Ryosuke Koga, Yuichi Sano (Kyoto Univ.), Ikko Hamamura (IBM) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Instead of Monte Carlo simulations for numerical integration, we can use a quantum expectation estimation algorithm, which can be executed by a quantum computer, to perform the calculation faster.
With this algorithm, quantum computers are expected to play an active role in fields such as finance.
The quantum computer expected to be used recently has noise.
In previous research for the algorithm of the noisy quantum computer, a method utilizing qGANs to generate quantum circuits by loading probability distributions into quantum states was proposed for the quantum expectation estimation algorithm.
However, this method did not consistently achieve satisfactory accuracy in generating quantum circuits.
Therefore, we propose a novel technique called ``label replacement'' to enhance the performance of quantum circuit generation using qGANs.
Specifically, we aimed to improve learning performance by performing ``label replacement'' on the measured values for considering the entanglement of the target probability distribution and the structure of the qGANs' circuit.
The effectiveness of ``label replacement'' was verified through simulations of a quantum computer, and as a result, we successfully achieved higher accuracy than before our method was applied. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Quantum computation / Quantum algorithm / Monte Carlo method / Quantum machine learning / Quantum GAN / qGAN / / |
| Reference Info. |
IEICE Tech. Rep. |
| Paper # |
|
| Date of Issue |
|
| ISSN |
|
| Download PDF |
|
| Conference Information |
| Committee |
QIT |
| Conference Date |
2023-05-29 - 2023-05-30 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Katsura Campus, Kyoto University |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Quantum Information |
| Paper Information |
| Registration To |
QIT |
| Conference Code |
2023-05-QIT |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Improving the Performance of Quantum GANs through Label Replacement |
| Sub Title (in English) |
|
| Keyword(1) |
Quantum computation |
| Keyword(2) |
Quantum algorithm |
| Keyword(3) |
Monte Carlo method |
| Keyword(4) |
Quantum machine learning |
| Keyword(5) |
Quantum GAN |
| Keyword(6) |
qGAN |
| Keyword(7) |
|
| Keyword(8) |
|
| 1st Author's Name |
Ryosuke Koga |
| 1st Author's Affiliation |
Kyoto University (Kyoto Univ.) |
| 2nd Author's Name |
Yuichi Sano |
| 2nd Author's Affiliation |
Kyoto University (Kyoto Univ.) |
| 3rd Author's Name |
Ikko Hamamura |
| 3rd Author's Affiliation |
IBM Research - Tokyo (IBM) |
| 4th Author's Name |
|
| 4th Author's Affiliation |
() |
| 5th Author's Name |
|
| 5th Author's Affiliation |
() |
| 6th Author's Name |
|
| 6th Author's Affiliation |
() |
| 7th Author's Name |
|
| 7th Author's Affiliation |
() |
| 8th Author's Name |
|
| 8th Author's Affiliation |
() |
| 9th Author's Name |
|
| 9th Author's Affiliation |
() |
| 10th Author's Name |
|
| 10th Author's Affiliation |
() |
| 11th Author's Name |
|
| 11th Author's Affiliation |
() |
| 12th Author's Name |
|
| 12th Author's Affiliation |
() |
| 13th Author's Name |
|
| 13th Author's Affiliation |
() |
| 14th Author's Name |
|
| 14th Author's Affiliation |
() |
| 15th Author's Name |
|
| 15th Author's Affiliation |
() |
| 16th Author's Name |
|
| 16th Author's Affiliation |
() |
| 17th Author's Name |
|
| 17th Author's Affiliation |
() |
| 18th Author's Name |
|
| 18th Author's Affiliation |
() |
| 19th Author's Name |
|
| 19th Author's Affiliation |
() |
| 20th Author's Name |
|
| 20th Author's Affiliation |
() |
| 21st Author's Name |
|
| 21st Author's Affiliation |
() |
| 22nd Author's Name |
|
| 22nd Author's Affiliation |
() |
| 23rd Author's Name |
|
| 23rd Author's Affiliation |
() |
| 24th Author's Name |
|
| 24th Author's Affiliation |
() |
| 25th Author's Name |
|
| 25th Author's Affiliation |
() |
| 26th Author's Name |
/ / |
| 26th Author's Affiliation |
()
() |
| 27th Author's Name |
/ / |
| 27th Author's Affiliation |
()
() |
| 28th Author's Name |
/ / |
| 28th Author's Affiliation |
()
() |
| 29th Author's Name |
/ / |
| 29th Author's Affiliation |
()
() |
| 30th Author's Name |
/ / |
| 30th Author's Affiliation |
()
() |
| 31st Author's Name |
/ / |
| 31st Author's Affiliation |
()
() |
| 32nd Author's Name |
/ / |
| 32nd Author's Affiliation |
()
() |
| 33rd Author's Name |
/ / |
| 33rd Author's Affiliation |
()
() |
| 34th Author's Name |
/ / |
| 34th Author's Affiliation |
()
() |
| 35th Author's Name |
/ / |
| 35th Author's Affiliation |
()
() |
| 36th Author's Name |
/ / |
| 36th Author's Affiliation |
()
() |
| Speaker |
Author-2 |
| Date Time |
2023-05-29 16:30:00 |
| Presentation Time |
90 minutes |
| Registration for |
QIT |
| Paper # |
|
| Volume (vol) |
vol. |
| Number (no) |
|
| Page |
|
| #Pages |
|
| Date of Issue |
|