Dynamic simulation of materials is a promising application for near-term quantum computers. Current algorithms for Hamiltonian simulation, however, produce circuits that grow in depth with increasing simulation time, limiting feasible simulations to short-time dynamics. Here, we present a method for generating circuits that are constant in depth with increasing simulation time for a subset of one-dimensional materials Hamiltonians, thereby enabling simulations out to arbitrarily long times. Furthermore, by removing the effective limit on the number of feasibly simulatable time-steps, the constant-depth circuits enable Trotter error to be made negligibly small by allowing simulations to be broken into arbitrarily many time-steps. Composed of...
The perturbation theory is developed based on small parameters which naturally appear in solid state...
As physical implementations of quantum architectures emerge, it is increasingly important to conside...
Quantum computing is a promising technology that harnesses the peculiarities of quantum mechanics to...
Dynamic simulation of materials is a promising application for near-term quantum computers. Current ...
AbstractDynamic simulation of materials is a promising application for near-term quantum computers. ...
Funder: Phasecraft LtdAbstract: The quantum circuit model is the de-facto way of designing quantum a...
Simulating quantum dynamics on classical computers is challenging for large systems due to the signi...
We argue that there exist quantum computations that can be carried out in constant depth that cannot...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
Unitary evolution under a time-dependent Hamiltonian is a key component of simulation on quantum har...
Quantum time dynamics (QTD) is considered a promising problem for quantum supremacy on near-term qua...
Quantum computing is a promising technology that harnesses the peculiarities of quantum mechanics to...
We present a new algorithm for classical simulation of quantum circuits over the Clifford+T gate set...
Unitary operations are the building blocks of quantum programs. Our task is to design effcient or op...
Quantum computers can efficiently simulate many-body systems. As a widely used Hamiltonian simulatio...
The perturbation theory is developed based on small parameters which naturally appear in solid state...
As physical implementations of quantum architectures emerge, it is increasingly important to conside...
Quantum computing is a promising technology that harnesses the peculiarities of quantum mechanics to...
Dynamic simulation of materials is a promising application for near-term quantum computers. Current ...
AbstractDynamic simulation of materials is a promising application for near-term quantum computers. ...
Funder: Phasecraft LtdAbstract: The quantum circuit model is the de-facto way of designing quantum a...
Simulating quantum dynamics on classical computers is challenging for large systems due to the signi...
We argue that there exist quantum computations that can be carried out in constant depth that cannot...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
Unitary evolution under a time-dependent Hamiltonian is a key component of simulation on quantum har...
Quantum time dynamics (QTD) is considered a promising problem for quantum supremacy on near-term qua...
Quantum computing is a promising technology that harnesses the peculiarities of quantum mechanics to...
We present a new algorithm for classical simulation of quantum circuits over the Clifford+T gate set...
Unitary operations are the building blocks of quantum programs. Our task is to design effcient or op...
Quantum computers can efficiently simulate many-body systems. As a widely used Hamiltonian simulatio...
The perturbation theory is developed based on small parameters which naturally appear in solid state...
As physical implementations of quantum architectures emerge, it is increasingly important to conside...
Quantum computing is a promising technology that harnesses the peculiarities of quantum mechanics to...