9 citations · 18 across the 6 of their papers we have counts for
6 papers
Data-driven adaptive quantum error mitigation for probability distribution
Rion Shimazu, Suguru Endo, Shigeo Hakkaku +1
Quantum error mitigation (QEM) has been proposed as a class of hardware-friendly error suppression techniques. While QEM has been primarily studied for mitigating errors in the est…
Data-Efficient Error Mitigation for Physical and Algorithmic Errors in a Hamiltonian Simulation
Shigeo Hakkaku, Yasunari Suzuki, Yuuki Tokunaga +1
Quantum dynamics simulation via Hamilton simulation algorithms is one of the most crucial applications in the quantum computing field. While this task has been relatively considere…
Resource-efficient Generalized Quantum Subspace Expansion
Bo Yang, Nobuyuki Yoshioka, Hiroyuki Harada +5
Realizing practical quantum computing requires overcoming a number of computation errors and the limitation of device size, which have intensively been tackled by quantum error mit…
Quantifying fermionic nonlinearity of quantum circuits
Shigeo Hakkaku, Yuichiro Tashima, Kosuke Mitarai +2
Variational quantum algorithms (VQAs) have been proposed as one of the most promising approaches to demonstrate quantum advantage on noisy intermediate-scale quantum (NISQ) devices…
Sampling-based quasiprobability simulation for fault-tolerant quantum error correction on the surface codes under coherent noise
Shigeo Hakkaku, Kosuke Mitarai, Keisuke Fujii
We propose a sampling-based simulation for fault-tolerant quantum error correction under coherent noise. A mixture of incoherent and coherent noise, possibly due to over-rotation,…
Comparative Study of Sampling-Based Simulation Costs of Noisy Quantum Circuits
Shigeo Hakkaku, Keisuke Fujii
Noise in quantum operations often negates the advantage of quantum computation. However, most classical simulations of quantum computers calculate the ideal probability amplitudes…