7 papers
Classical Simulation and Design Frontiers for IBM's Doped Clifford Sampling Experiment
Hidetaka Manabe, Hanfeng Gu, Feng Pan
We classically simulate the IBM doped Clifford random circuit sampling experiment, comprising qubits, entangling layers, and inserted gates. A deterministic tem…
Tensor Network Formulation of Dequantized Algorithms for Ground State Energy Estimation
Hidetaka Manabe, Takanori Sugimoto, Keisuke Fujii
Verifying quantum advantage for practical problems, particularly the ground state energy estimation (GSEE) problem, is one of the central challenges in quantum computing theory. Fo…
The State Preparation of Multivariate Normal Distributions using Tree Tensor Network
Hidetaka Manabe, Yuichi Sano
The quantum state preparation of probability distributions is an important subroutine for many quantum algorithms. When embedding -dimensional multivariate probability distribut…
TTNOpt: Tree tensor network package for high-rank tensor compression
Ryo Watanabe, Hidetaka Manabe, Toshiya Hikihara +1
We have developed TTNOpt, a software package that utilizes tree tensor networks (TTNs) for quantum spin systems and high-dimensional data analysis. TTNOpt provides efficient and po…
Learning functions of Hamiltonians with Hamiltonian Fourier features
Yuto Morohoshi, Akimoto Nakayama, Hidetaka Manabe +1
We propose a quantum machine learning task that is provably easy for quantum computers and arguably hard for classical ones. The task involves predicting quantities of the form $\m…
Efficient Simulation of Leakage Errors in Quantum Error Correcting Codes Using Tensor Network Methods
Hidetaka Manabe, Yasunari Suzuki, Andrew S. Darmawan
Leakage errors, in which a qubit is excited to a level outside the qubit subspace, represent a significant obstacle in the development of robust quantum computers. We present a com…