A probabilistic imaginary-time evolution (PITE) method was proposed as a nonvariational method to obtain a ground state on a quantum computer. In this formalism, the success probability of obtaining all imaginary-time evolution operators acting on the initial state decreases as the imaginary time proceeds. To alleviate the undesirable nature, we propose quantum circuits for PITE combined with the quantum amplitude amplification (QAA) method. We reduce the circuit depth in the combined circuit with QAA by introducing a pre-amplification operator. We successfully demonstrated that the combination of PITE and QAA works efficiently and reported a case in which the quantum acceleration is achieved. Additionally, we have found that by optimizing ...
Quantum computing is believed to be particularly useful for the simulation of chemistry and material...
Quantum Approximate Optimization Algorithm(QAOA) is a promising quantum algorithm that can demonstra...
We propose a novel method to sequentially optimize arbitrary single-qubit gates in parameterized qua...
Ground-state preparation is an important task in quantum computation. The probabilistic imaginary-ti...
Simulating quantum imaginary-time evolution (QITE) is a major promise of quantum computation. Howeve...
The current generation of noisy intermediate-scale quantum computers introduces new opportunities to...
Abstract Simulating quantum imaginary-time evolution (QITE) is a significant promise of quantum comp...
We propose a nonvariational scheme for geometry optimization of molecules for the first-quantized ei...
The accurate computation of Hamiltonian ground, excited and thermal states on quantum computers stan...
Quantum computers promise to solve important problems faster than conventional computers. However, u...
The quantum approximate optimisation algorithm was proposed as a heuristic method for solving combin...
For a large number of tasks, quantum computing demonstrates the potential for exponential accelerati...
Recent progress in noisy intermediate-scale quantum (NISQ) hardware shows that quantum devices may b...
Rapid developments of quantum information technology show promising opportunities for simulating qua...
Quantum imaginary time evolution (QITE) is one of the promising candidates for finding eigenvalues a...
Quantum computing is believed to be particularly useful for the simulation of chemistry and material...
Quantum Approximate Optimization Algorithm(QAOA) is a promising quantum algorithm that can demonstra...
We propose a novel method to sequentially optimize arbitrary single-qubit gates in parameterized qua...
Ground-state preparation is an important task in quantum computation. The probabilistic imaginary-ti...
Simulating quantum imaginary-time evolution (QITE) is a major promise of quantum computation. Howeve...
The current generation of noisy intermediate-scale quantum computers introduces new opportunities to...
Abstract Simulating quantum imaginary-time evolution (QITE) is a significant promise of quantum comp...
We propose a nonvariational scheme for geometry optimization of molecules for the first-quantized ei...
The accurate computation of Hamiltonian ground, excited and thermal states on quantum computers stan...
Quantum computers promise to solve important problems faster than conventional computers. However, u...
The quantum approximate optimisation algorithm was proposed as a heuristic method for solving combin...
For a large number of tasks, quantum computing demonstrates the potential for exponential accelerati...
Recent progress in noisy intermediate-scale quantum (NISQ) hardware shows that quantum devices may b...
Rapid developments of quantum information technology show promising opportunities for simulating qua...
Quantum imaginary time evolution (QITE) is one of the promising candidates for finding eigenvalues a...
Quantum computing is believed to be particularly useful for the simulation of chemistry and material...
Quantum Approximate Optimization Algorithm(QAOA) is a promising quantum algorithm that can demonstra...
We propose a novel method to sequentially optimize arbitrary single-qubit gates in parameterized qua...