107 citations · 541 across the 26 of their papers we have counts for
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Fast quantum algorithm for differential equations
Mohsen Bagherimehrab, Kouhei Nakaji, Nathan Wiebe +3
Partial differential equations (PDEs) are ubiquitous in science and engineering. Prior quantum algorithms for solving the system of linear algebraic equations obtained from discret…
Machine learning of measurement schemes for efficient quantum observable estimation
Zi-Jian Zhang, Kouhei Nakaji, Matthew Choi +1
Estimation of the expectation value of observables is a key subroutine in quantum computing and is also the bottleneck of the performance of many near-term quantum algorithms. Many…
Expressive Quantum Supervised Machine Learning using Kerr-nonlinear Parametric Oscillators
Yuichiro Mori, Kouhei Nakaji, Yuichiro Matsuzaki +1
Quantum machine learning with variational quantum algorithms (VQA) has been actively investigated as a practical algorithm in the noisy intermediate-scale quantum (NISQ) era. Recen…
qSWIFT: High-order randomized compiler for Hamiltonian simulation
Kouhei Nakaji, Mohsen Bagherimehrab, Alan Aspuru-Guzik
Hamiltonian simulation is known to be one of the fundamental building blocks of a variety of quantum algorithms such as its most immediate application, that of simulating many-body…