کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5496322 | 1399843 | 2017 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Generating three-qubit quantum circuits with neural networks
ترجمه فارسی عنوان
تولید مدارهای کوانتومی سه کوبتی با شبکه های عصبی
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کلمات کلیدی
محاسبات کوانتومی، جمع آوری کوانتومی، شبکه های عصبی، هندسه زیرزمینی،
موضوعات مرتبط
مهندسی و علوم پایه
فیزیک و نجوم
فیزیک و نجوم (عمومی)
چکیده انگلیسی
A new method for compiling quantum algorithms is proposed and tested for a three qubit system. The proposed method is to decompose a unitary matrix U, into a product of simpler Uj via a neural network. These Uj can then be decomposed into product of known quantum gates. Key to the effectiveness of this approach is the restriction of the set of training data generated to paths which approximate minimal normal subRiemannian geodesics, as this removes unnecessary redundancy and ensures the products are unique. The two neural networks are shown to work effectively, each individually returning low loss values on validation data after relatively short training periods. The two networks are able to return coefficients that are sufficiently close to the true coefficient values to validate this method as an approach for generating quantum circuits. There is scope for more work in scaling this approach for larger quantum systems.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physics Letters A - Volume 381, Issue 39, 17 October 2017, Pages 3391-3395
Journal: Physics Letters A - Volume 381, Issue 39, 17 October 2017, Pages 3391-3395
نویسندگان
Michael Swaddle, Lyle Noakes, Harry Smallbone, Liam Salter, Jingbo Wang,