246 citations · 467 across the 11 of their papers we have counts for
11 papers
Efficient Quantum Circuits for Electronic Hamiltonian Simulation without Pauli Expansion
Tamiya Onodera, Takeshi Sato
Electronic Hamiltonian simulation is commonly formulated by mapping fermionic operators to qubit operators and subsequently expanding the resulting ladder-operator products into Pa…
Multilevel Circuit Optimization in Quantum Compilers: A Case Study
Tamiya Onodera, Yuki Sato, Toshinari Itoko +1
In this paper, we explore multilevel circuit optimization (MLCO), where we deploy multiple gate sets and progressively lower the source circuit through the gate sets to the target…
Qudit-Generalization of the Qubit Echo and Its Application to a Qutrit-Based Toffoli Gate
Yutaro Iiyama, Wonho Jang, Naoki Kanazawa +3
The fidelity of certain gates on noisy quantum computers may be improved when they are implemented using more than two levels of the involved transmons. The main impediments to ach…
Hamiltonian simulation for hyperbolic partial differential equations by scalable quantum circuits
Yuki Sato, Ruho Kondo, Ikko Hamamura +2
Solving partial differential equations for extremely large-scale systems within a feasible computation time serves in accelerating engineering developments. Quantum computing algor…
Quantum data learning for quantum simulations in high-energy physics
Lento Nagano, Alexander Miessen, Tamiya Onodera +3
Quantum machine learning with parametrised quantum circuits has attracted significant attention over the past years as an early application for the era of noisy quantum processors.…
Approximate complex amplitude encoding algorithm and its application to data classification problems
Naoki Mitsuda, Tatsuhiro Ichimura, Kouhei Nakaji +6
Quantum computing has a potential to accelerate the data processing efficiency, especially in machine learning, by exploiting special features such as the quantum interference. The…
Noisy quantum amplitude estimation without noise estimation
Tomoki Tanaka, Shumpei Uno, Tamiya Onodera +2
Many quantum algorithms contain an important subroutine, the quantum amplitude estimation. As the name implies, this is essentially the parameter estimation problem and thus can be…
Approximate amplitude encoding in shallow parameterized quantum circuits and its application to financial market indicator
Kouhei Nakaji, Shumpei Uno, Yohichi Suzuki +6
Efficient methods for loading given classical data into quantum circuits are essential for various quantum algorithms. In this paper, we propose an algorithm called Approximate Amp…
Modified Grover operator for amplitude estimation
Shumpei Uno, Yohichi Suzuki, Keigo Hisanaga +4
In this paper, we propose a quantum amplitude estimation method that uses a modified Grover operator and quadratically improves the estimation accuracy in the ideal case, as in the…
Amplitude estimation via maximum likelihood on noisy quantum computer
Tomoki Tanaka, Yohichi Suzuki, Shumpei Uno +3
Recently we find several candidates of quantum algorithms that may be implementable in near-term devices for estimating the amplitude of a given quantum state, which is a core sub-…
Amplitude estimation without phase estimation
Yohichi Suzuki, Shumpei Uno, Rudy Raymond +3
This paper focuses on the quantum amplitude estimation algorithm, which is a core subroutine in quantum computation for various applications. The conventional approach for amplitud…