Designing quantum annealing schedules using Bayesian optimization
We propose and analyze the use of Bayesian optimization techniques to design quantum
annealing schedules with minimal user and resource requirements. We showcase our …
annealing schedules with minimal user and resource requirements. We showcase our …
Greedy parameter optimization for diabatic quantum annealing
T Kadowaki, H Nishimori - Philosophical Transactions of …, 2023 - royalsocietypublishing.org
A shorter processing time is desirable for quantum computation to minimize the effects of
noise. We propose a simple procedure to variationally determine a set of parameters in the …
noise. We propose a simple procedure to variationally determine a set of parameters in the …
Quantum annealing showing an exponentially small success probability despite a constant energy gap with polynomial energy
Quantum annealing (QA) is a method for solving combinatorial optimization problems. We
can estimate the computational time for QA using what is referred to as the adiabatic …
can estimate the computational time for QA using what is referred to as the adiabatic …
Obtaining ground states of the xxz model using the quantum annealing with inductively coupled superconducting flux qubits
Obtaining ground states of Hamiltonians is important in the condensed matter physics and
the quantum chemistry. The interaction Hamiltonians typically contain not only diagonal but …
the quantum chemistry. The interaction Hamiltonians typically contain not only diagonal but …
Quantum annealing with error mitigation
Y Shingu, T Nikuni, S Kawabata, Y Matsuzaki - Physical Review A, 2024 - APS
Quantum annealing (QA) is one of the methods to prepare a ground state of a problem
Hamiltonian. In the absence of noise, QA can accurately estimate the ground-state energy if …
Hamiltonian. In the absence of noise, QA can accurately estimate the ground-state energy if …
How to experimentally evaluate the adiabatic condition for quantum annealing
We propose an experimental method for evaluating the adiabatic condition during quantum
annealing (QA), which will be essential for solving practical problems. The adiabatic …
annealing (QA), which will be essential for solving practical problems. The adiabatic …
Quantum annealing showing the exponentially small success probability despite a constant energy gap
Quantum annealing (QA) is one of the methods to solve combinatorial optimization
problems. We can estimate a computational time of QA by using the so-called adiabatic …
problems. We can estimate a computational time of QA by using the so-called adiabatic …
Adaptive quantum optimization algorithms for programmable atom-cavity systems
Y Luo, X Li, J Lin - arXiv preprint arXiv:2406.07055, 2024 - arxiv.org
Developing quantum algorithms adaptive to specific constraints of near-term devices is an
essential step towards practical quantum advantage. In a recent work [Phys. Rev. Lett. 131 …
essential step towards practical quantum advantage. In a recent work [Phys. Rev. Lett. 131 …
A general method to construct mean field counter diabatic driving for a ground state search
The counter diabatic (CD) driving has attracted much attention for suppressing non-
adiabatic transition in quantum annealing (QA). However, it can be intractable to construct …
adiabatic transition in quantum annealing (QA). However, it can be intractable to construct …
[HTML][HTML] Enhancing quantum annealing in digital–analog quantum computing
T Kadowaki - APL Quantum, 2024 - pubs.aip.org
Digital–analog quantum computing (DAQC) offers a promising approach to addressing the
challenges of building a practical quantum computer. By efficiently allocating resources …
challenges of building a practical quantum computer. By efficiently allocating resources …