Adiabatic spectroscopy and a variational quantum adiabatic algorithm
Preparation of the ground state of a Hamiltonian is a problem of great significance in
physics, with deep implications in the field of combinatorial optimization. The adiabatic …
physics, with deep implications in the field of combinatorial optimization. The adiabatic …
Bayesian phase difference estimation: a general quantum algorithm for the direct calculation of energy gaps
Quantum computers can perform full configuration interaction (full-CI) calculations by
utilising the quantum phase estimation (QPE) algorithms including Bayesian phase …
utilising the quantum phase estimation (QPE) algorithms including Bayesian phase …
Projective measurement-based quantum phase difference estimation algorithm for the direct computation of eigenenergy differences on a quantum computer
K Sugisaki - Journal of Chemical Theory and Computation, 2023 - ACS Publications
Quantum computers are capable of calculating the energy difference of two electronic states
using the quantum phase difference estimation (QPDE) algorithm. The Bayesian inference …
using the quantum phase difference estimation (QPDE) algorithm. The Bayesian inference …
Computing molecular excited states on a D-Wave quantum annealer
The possibility of using quantum computers for electronic structure calculations has opened
up a promising avenue for computational chemistry. Towards this direction, numerous …
up a promising avenue for computational chemistry. Towards this direction, numerous …
Probing spectral features of quantum many-body systems with quantum simulators
The efficient probing of spectral features is important for characterising and understanding
the structure and dynamics of quantum materials. In this work, we establish a framework for …
the structure and dynamics of quantum materials. In this work, we establish a framework for …
Deep recurrent networks predicting the gap evolution in adiabatic quantum computing
In adiabatic quantum computing finding the dependence of the gap of the Hamiltonian as a
function of the parameter varied during the adiabatic sweep is crucial in order to optimize the …
function of the parameter varied during the adiabatic sweep is crucial in order to optimize 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 …
Quantum algorithm for the direct calculations of vertical ionization energies
Recently, a quantum algorithm that is capable of directly calculating the energy gap between
two electronic states having different spin quantum numbers without inspecting the total …
two electronic states having different spin quantum numbers without inspecting the total …
Quantum annealing with twisted fields
Quantum annealing (QA) is a promising method for solving combinational optimization
problems and performing quantum chemical calculations. The main sources of errors in QA …
problems and performing quantum chemical calculations. The main sources of errors in QA …
Resource-efficient quantum-classical hybrid algorithm for energy gap evaluation
Estimating the eigenvalue or energy gap of a Hamiltonian H is vital for studying quantum
many-body systems. Particularly, many of the problems in quantum chemistry, condensed …
many-body systems. Particularly, many of the problems in quantum chemistry, condensed …