Reducing the complexity of quantum algorithms to treat quantum chemistry problems is essential to demonstrate an eventual quantum advantage of noisy-intermediate scale quantum devices over their classical counterpart. Significant improvements have been made recently to simulate the time-evolution operator U(t)=eiĤt, where Ĥ is the electronic structure Hamiltonian, or to simulate Ĥ directly (when written as a linear combination of unitaries) by using block encoding or qubitization techniques. A fundamental measure quantifying the practical implementation complexity of these quantum algorithms is the so-called 1-norm of the qubit representation of the Hamiltonian, which can be reduced by writing the Hamiltonian in factorized or tensor-hyperco...
A symmetry-adapted fermion-to-spin mapping or encoding that is able to store information about the o...
Recent work has dramatically reduced the gate complexity required to quantum simulate chemistry by u...
A symmetry-adapted fermion-to-spin mapping or encoding that is able to store information about the o...
Reducing the complexity of quantum algorithms to treat quantum chemistry problems is essential to de...
The quantum simulation of quantum chemistry is a promising application of quantum computers. However...
Computational cost of energy estimation for molecular electronic Hamiltonians via Quantum Phase Esti...
Since its introduction one decade ago, the quantum algorithm for chemistry has been among the most a...
We construct quantum circuits that exactly encode the spectra of correlated electron models up to er...
Classical algorithms that simulate the electronic and vibrational structure of atoms and molecules a...
We propose a nonvariational scheme for geometry optimization of molecules for the first-quantized ei...
We present a quantum algorithm for the simulation of molecular systems that is asymptotically more e...
The quantum approximate optimization algorithm (QAOA) is considered to be one of the most promising ...
Quantum computing is powerful because unitary operators describing the time-evolution of a quantum s...
Quantum computing is being extensively used in quantum chemistry, especially in simulating simple mo...
Quantum computation is the most promising new paradigm for the simulation of physical systems compos...
A symmetry-adapted fermion-to-spin mapping or encoding that is able to store information about the o...
Recent work has dramatically reduced the gate complexity required to quantum simulate chemistry by u...
A symmetry-adapted fermion-to-spin mapping or encoding that is able to store information about the o...
Reducing the complexity of quantum algorithms to treat quantum chemistry problems is essential to de...
The quantum simulation of quantum chemistry is a promising application of quantum computers. However...
Computational cost of energy estimation for molecular electronic Hamiltonians via Quantum Phase Esti...
Since its introduction one decade ago, the quantum algorithm for chemistry has been among the most a...
We construct quantum circuits that exactly encode the spectra of correlated electron models up to er...
Classical algorithms that simulate the electronic and vibrational structure of atoms and molecules a...
We propose a nonvariational scheme for geometry optimization of molecules for the first-quantized ei...
We present a quantum algorithm for the simulation of molecular systems that is asymptotically more e...
The quantum approximate optimization algorithm (QAOA) is considered to be one of the most promising ...
Quantum computing is powerful because unitary operators describing the time-evolution of a quantum s...
Quantum computing is being extensively used in quantum chemistry, especially in simulating simple mo...
Quantum computation is the most promising new paradigm for the simulation of physical systems compos...
A symmetry-adapted fermion-to-spin mapping or encoding that is able to store information about the o...
Recent work has dramatically reduced the gate complexity required to quantum simulate chemistry by u...
A symmetry-adapted fermion-to-spin mapping or encoding that is able to store information about the o...