For broader coverage of this topic, see Quantum simulator.
Hamiltonian simulation (also referred to as quantum simulation) is a problem in quantum information science that attempts to find the computational complexity and quantum algorithms needed for simulating quantum systems. Hamiltonian simulation is a problem that demands algorithms which implement the evolution of a quantum state efficiently. The Hamiltonian simulation problem was proposed by Richard Feynman in 1982, where he proposed a quantum computer as a possible solution since the simulation of general Hamiltonians seem to grow exponentially with respect to the system size.[1]
^Richard P Feynman (1982). "Simulating physics with computers". International Journal of Theoretical Physics. 21 (6): 467–488. Bibcode:1982IJTP...21..467F. doi:10.1007/BF02650179. S2CID 124545445. Retrieved 2019-05-04.
and 22 Related for: Hamiltonian simulation information
Hamiltoniansimulation (also referred to as quantum simulation) is a problem in quantum information science that attempts to find the computational complexity...
{\displaystyle |b\rangle =\sum _{i\mathop {=} 1}^{N}b_{i}|i\rangle .} Next, Hamiltoniansimulation techniques are used to apply the unitary operator e i A t {\displaystyle...
for the simulation of quantum systems via Hamiltonian dynamics. The core idea of qubitization is to encode the problem of Hamiltoniansimulation in a way...
Quantum Signal Processing is a Hamiltoniansimulation algorithm with optimal lower bounds in query complexity. It linearizes the operator of a quantum...
transitions in lattices of superconducting resonators coupled to qubits. Hamiltoniansimulation Quantum Turing machine Quantum computing Johnson, Tomi H.; Clark...
Hamiltonian complexity or quantum Hamiltonian complexity is a topic which deals with problems in quantum complexity theory and condensed matter physics...
confused with digital annealing. These QPUs are based on analog Hamiltoniansimulation. Quantum programming Timeline of quantum computing and communication...
Berry, Dominic W.; Childs, Andrew M.; Kothari, Robin (2015). "Hamiltoniansimulation with nearly optimal dependence on all parameters". 2015 IEEE 56th...
The Hamiltonian Monte Carlo algorithm (originally known as hybrid Monte Carlo) is a Markov chain Monte Carlo method for obtaining a sequence of random...
required for an accurate result). More sophisticated methods such as Hamiltonian Monte Carlo and the Wang and Landau algorithm use various ways of reducing...
Bank. Hammonds, KD; Heyes DM (2020). "Shadow Hamiltonian in classical NVE molecular dynamics simulations: A path to long time stability". Journal of Chemical...
Qubitization involves adapting the Hamiltonian operator for more efficient processing on quantum computers, enhancing the simulation's efficiency. Quantum phase...
the eigenstates and energy eigenvalues of a quantum Hamiltonian. In this technique, a Hamiltonian for a discrete, finite system is expressed in matrix...
long-term evolution of chaotic Hamiltonian systems ranging from the Kepler problem to the classical and semi-classical simulations in molecular dynamics. Most...
medium. The dynamics of the model are governed by an energy function: the Hamiltonian which describes the energy of a particular configuration of cells in...
stochastic differential equations. Langevin dynamics simulations are a kind of Monte Carlo simulation. A real world molecular system is unlikely to be present...
can be regarded as classical rigid bodies molecular dynamics computer simulation employs quaternions. They were first introduced for this purpose by Evans...
Hydrogen molecule perturbatively, the overall Hamiltonian is decomposed into a unperturbed Hamiltonian of the non-interacting hydrogen atoms H ( 0 ) {\displaystyle...
computation into a slow continuous transformation of an initial Hamiltonian into a final Hamiltonian, whose ground states contain the solution. Neuromorphic quantum...
neighboring atoms, while the other pushes it away from its neighbors. Its Hamiltonian thus has two terms: a kinetic term allowing for tunneling ("hopping")...
attempts to find the lowest-energy matrix product state wavefunction of a Hamiltonian. It was invented in 1992 by Steven R. White and it is nowadays the most...
the Hamiltonian. The decision version of the k-local Hamiltonian problem is a type of promise problem and is defined as, given a k-local Hamiltonian and...