138 citations · 349 across the 25 of their papers we have counts for
14 papers · 1 filter
Classical variational optimization of PREPARE circuit for quantum phase estimation of quantum chemistry Hamiltonians
Hayata Morisaki, Kosuke Mitarai, Keisuke Fujii +1
We propose a method for constructing circuits for quantum phase estimation of a molecular Hamiltonian in quantum chemistry by using variational optimization of q…
Algorithmic error mitigation for quantum eigenvalues estimation
Adam Siegel, Kosuke Mitarai, Keisuke Fujii
When estimating the eigenvalues of a given observable, even fault-tolerant quantum computers will be subject to errors, namely algorithmic errors. These stem from approximations in…
Quantum error correction with an Ising machine under circuit-level noise
Jun Fujisaki, Kazunori Maruyama, Hirotaka Oshima +4
Efficient decoding to estimate error locations from outcomes of syndrome measurement is the prerequisite for quantum error correction. Decoding in presence of circuit-level noise i…
A comprehensive survey on quantum computer usage: How many qubits are employed for what purposes?
Tsubasa Ichikawa, Hideaki Hakoshima, Koji Inui +18
Quantum computers (QCs), which work based on the law of quantum mechanics, are expected to be faster than classical computers in several computational tasks such as prime factoring…
Measuring Trotter error and its application to precision-guaranteed Hamiltonian simulations
Tatsuhiko N. Ikeda, Hideki Kono, Keisuke Fujii
Trotterization is the most common and convenient approximation method for Hamiltonian simulations on digital quantum computers, but estimating its error accurately is computational…
Experimental demonstration of a high-fidelity virtual two-qubit gate
Akhil Pratap Singh, Kosuke Mitarai, Yasunari Suzuki +4
We experimentally demonstrate a virtual two-qubit gate and characterize it using quantum process tomography~(QPT). The virtual two-qubit gate decomposes an actual two-qubit gate in…
MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning on/for Quantum Computers in the NISQ era
Leonardo Placidi, Ryuichiro Hataya, Toshio Mori +4
We introduce the first large-scale dataset, MNISQ, for both the Quantum and the Classical Machine Learning community during the Noisy Intermediate-Scale Quantum era. MNISQ consists…
QAOA-MC: Markov chain Monte Carlo enhanced by Quantum Alternating Operator Ansatz
Yuichiro Nakano, Hideaki Hakoshima, Kosuke Mitarai +1
Quantum computation is expected to accelerate certain computational task over classical counterpart. Its most primitive advantage is its ability to sample from classically intracta…
Variational quantum eigensolver with embedded entanglement using a tensor-network ansatz
Ryo Watanabe, Keisuke Fujii, Hiroshi Ueda
In this paper, we introduce a tensor network (TN) scheme into the entanglement augmentation process of the synergistic optimization framework by Rudolph et al. [arXiv:2208.13673] t…
A Polynomial Time Quantum Algorithm for Exponentially Large Scale Nonlinear Differential Equations via Hamiltonian Simulation
Yu Tanaka, Keisuke Fujii
Quantum computers have the potential to efficiently solve a system of nonlinear ordinary differential equations (ODEs), which play a crucial role in various industries and scientif…
Recursive Quantum Eigenvalue/Singular-Value Transformation: Analytic Construction of Matrix Sign Function by Newton Iteration
Kaoru Mizuta, Keisuke Fujii
Quantum eigenvalue transformation (QET) and its generalization, quantum singular value transformation (QSVT), are versatile quantum algorithms that allow us to apply broad matrix f…
Partially Fault-tolerant Quantum Computing Architecture with Error-corrected Clifford Gates and Space-time Efficient Analog Rotations
Yutaro Akahoshi, Kazunori Maruyama, Hirotaka Oshima +2
Quantum computers are expected to bring drastic acceleration to several computing tasks against classical computers. Noisy intermediate-scale quantum (NISQ) devices, which have ten…
Ising model formulation for highly accurate topological color codes decoding
Yugo Takada, Yusaku Takeuchi, Keisuke Fujii
Quantum error correction is an essential ingredient for reliable quantum computation for theoretically provable quantum speedup. Topological color codes, one of the quantum error c…
VQE-generated quantum circuit dataset for machine learning
Akimoto Nakayama, Kosuke Mitarai, Leonardo Placidi +2
Quantum machine learning has the potential to computationally outperform classical machine learning, but it is not yet clear whether it will actually be valuable for practical prob…