We also provide quantum algorithms for $ell_{2}$ regularized regression problems, the quantum ridge regression algorithm requires time $wt{1/mu^{2} delta}$ to output a quantum state that is $delta$ close to the solution, where $mu$ is the regularization parameter.Anupam Prakash...
et al. Concrete resource analysis of the quantum linear system algorithm used to compute the electromagnetic scattering cross section of a 2D target. Preprint at https://arxiv.org/abs/1505.06552 (2015) Denil, M . & De Freitas, N. Toward the implementation of a quantum RBM. In Neural ...
The quantum circuit has been optimized using the adaptive gradient descent80 where varying the order of magnitude of the starting learning rate, we fixed a value of 0.01 for ensuring the convergence of the algorithm. In Fig. 4, we show the results of the circuit optimization for 500 ...
Casares, P.A.M., Martin-Delgado, M.A.: A quantum interior-point predictor-corrector algorithm for linear programming. J. Phys. A Math. Theor. 53(44), 445305 (2020) ADS MathSciNet MATH Google Scholar Chakrabarti, S., Childs, A.M., Li, T., Wu, X.: Quantum algorithms and lower...
Neural network state estimation for full quantum state tomography 一.引言 量子态层析(估计)(Quantum state tomography,QST)通过量子测量重建量子系统的量子态,在各种量子信息处理任务(包括量子计算和量子通信)中,对量子器件的验证和基准测试起着重要作用。QST一般由两个过程组成:系统上的量子测量(数据收集)和从...
Kerenidis I, Landman J, Luongo A, Prakash A (2019) q-means: a quantum algorithm for unsupervised machine learning. Adv Neural Inf Process Syst 32 Kerenidis I, Landman J, Mathur N (2021) Classical and quantum algorithms for orthogonal neural networks ...
The parameters are also optimized by a classical computer which results in latency and impacts the performance of the algorithm. QNN-based machine learning also suffers from a problem called “barren plateaus.” Without some mitigation, the model becomes untrainable. Finding solutions to th...
A method for running an altogether different regression algorithm, known as Gaussian process regression, was suggested in Ref. [69]. This work also relies on the linear algebra toolbox provided by Ref. [32] to claim an exponential speedup relative to classical algorithms. Wiebe et al. do note...
In[222], the authors defined a quantum algorithm for linear systems of equations. As the authors stated, the problem of solving linear systems of equations can be significantly improved with the help of quantum computations. The authors considered a case where it is not needed to know the solu...
4a,b. We also use a greedy edge reweighting strategy to increase the accuracy by accounting for correlations induced by Y-type errors28,46. Fig. 4: Real-time decoding. a, Schematic of the streaming decoding algorithm. The decoding problems are subdivided into blocks, with different threads ...