S. Todo

Publications119
h-index21
Citations2,316
Highly Influential Citations48
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Sequential minimal optimization for quantum-classical hybrid algorithms
TLDR
A sequential minimal optimization method for quantum-classical hybrid algorithms, which converges faster, is robust against statistical error, and is hyperparameter-free, which substantially outperforms the existing optimization algorithms and converges to a solution almost independent of the initial choice of the parameters.
The ALPS project release 2.0: open source software for strongly correlated systems
TLDR
The ALPS libraries provide a powerful framework for programmers to develop their own applications, which, for instance, greatly simplify the steps of porting a serial code onto a parallel, distributed memory machine.
Anisotropic tensor renormalization group
We propose a new tensor renormalization group algorithm, Anisotropic Tensor Renormalization Group (ATRG), for lattice models in arbitrary dimensions. The proposed method shares the same versatility…
The ALPS project release 1.3: Open-source software for strongly correlated systems
Cluster algorithms for general-S quantum spin systems.
TLDR
A general strategy to extend quantum cluster algorithms for S = 1 / 2 spin systems, such as the loop algorithm, to those with an arbitrary size of spins, by introducing additional graphs for the boundary part and giving the labeling probability explicitly.
Order parameter to characterize valence-bond-solid states in quantum spin chains.
TLDR
An order parameter to characterize valence-bond-solid states in quantum spin chains is proposed, given by the ground-state expectation value of a unitary operator appearing in the Lieb-Schultz-Mattis argument, and it is shown that the order parameter changes the sign according to the number of valence bonds at the boundary for periodic systems.
Transfer-Matrix Study Of Negative-Fugacity Singularity Of Hard-Core Lattice Gas
A singularity on the negative-fugacity axis of the hard-core lattice gas is investigated in terms of numerical diagonalization of large-scale transfer matrices. For the hard-square lattice gas, the…
Markov chain Monte Carlo method without detailed balance.
TLDR
A bounce-free worm algorithm for generic quantum spin models is formulated and it is demonstrated that the autocorrelation time of the Potts model becomes more than 6 times shorter than that by the conventional Metropolis algorithm.
Possibility of deconfined criticality in SU(N) Heisenberg models at small N
To examine the validity of the scenario of the deconfined critical phenomena, we carry out a quantum Monte Carlo simulation for the SU($N$) generalization of the Heisenberg model with four-body and…
Order-N cluster Monte Carlo method for spin systems with long-range interactions
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