We propose a simple procedure to produce energy eigenstates of a Hamiltonian with discrete eigenvalues. We use ancilla qubits and quantum entanglement to separate an energy eigenstate from the other energy eigenstates. Our procedure in principle will be applicable for a Hamiltonian with a finite dimensional Hilbert space and with non-generate discrete energy eigenstates. Choosing an initial state properly, we can in principle produce any energy eigenstate of the Hamiltonian.Comment: 7pages, 2 figure
We describe a quantum algorithm for finding the smallest eigenvalue of a Hermitian matrix. This algo...
This is the final version. Available on open access from the American Physical Society via the DOI i...
Quantum computing is being extensively used in quantum chemistry, especially in simulating simple mo...
We revisit quantum phase estimation algorithms for the purpose of obtaining the energy levels of man...
A typical task for classical and quantum computing in chemistry is finding a potential energy surfac...
Modeling low energy eigenstates of fermionic systems can provide insight into chemical reactions and...
This article is a brief introduction to quantum algorithms for the eigenvalue problem in quantum man...
Quantum computing opens up new possibilities for the simulation of many-body nuclear systems. As the...
We present two techniques that can greatly reduce the number of gates required to realize an energy ...
The phase estimation algorithm is so named because it allows the estimation of the eigenvalues assoc...
The phase estimation algorithm is so named because it allows an estimation of the eigenvalues associ...
The efficient calculation of Hamiltonian spectra, a problem often intractable on classical machines,...
Under suitable assumptions, the algorithms in [Lin, Tong, Quantum 2020] can estimate the ground stat...
We propose a quantum algorithm to obtain the lowest eigenstate of any Hamiltonian simulated by a qua...
Quantum computing can provide speedups in solving many problems as the evolution of a quantum system...
We describe a quantum algorithm for finding the smallest eigenvalue of a Hermitian matrix. This algo...
This is the final version. Available on open access from the American Physical Society via the DOI i...
Quantum computing is being extensively used in quantum chemistry, especially in simulating simple mo...
We revisit quantum phase estimation algorithms for the purpose of obtaining the energy levels of man...
A typical task for classical and quantum computing in chemistry is finding a potential energy surfac...
Modeling low energy eigenstates of fermionic systems can provide insight into chemical reactions and...
This article is a brief introduction to quantum algorithms for the eigenvalue problem in quantum man...
Quantum computing opens up new possibilities for the simulation of many-body nuclear systems. As the...
We present two techniques that can greatly reduce the number of gates required to realize an energy ...
The phase estimation algorithm is so named because it allows the estimation of the eigenvalues assoc...
The phase estimation algorithm is so named because it allows an estimation of the eigenvalues associ...
The efficient calculation of Hamiltonian spectra, a problem often intractable on classical machines,...
Under suitable assumptions, the algorithms in [Lin, Tong, Quantum 2020] can estimate the ground stat...
We propose a quantum algorithm to obtain the lowest eigenstate of any Hamiltonian simulated by a qua...
Quantum computing can provide speedups in solving many problems as the evolution of a quantum system...
We describe a quantum algorithm for finding the smallest eigenvalue of a Hermitian matrix. This algo...
This is the final version. Available on open access from the American Physical Society via the DOI i...
Quantum computing is being extensively used in quantum chemistry, especially in simulating simple mo...