activity
20172020
collaborators

5 papers

quant-ph2020

High-precision quantum algorithms for partial differential equations

Andrew M. Childs, Jin-Peng Liu, Aaron Ostrander

Quantum computers can produce a quantum encoding of the solution of a system of differential equations exponentially faster than a classical algorithm can produce an explicit descr…

quant-ph2018

Parallel Entangling Operations on a Universal Ion Trap Quantum Computer

C. Figgatt, A. Ostrander, N. M. Linke +4

The circuit model of a quantum computer consists of sequences of gate operations between quantum bits (qubits), drawn from a universal family of discrete operations. The ability to…

quant-ph2018

Faster quantum simulation by randomization

Andrew M. Childs, Aaron Ostrander, Yuan Su

Product formulas can be used to simulate Hamiltonian dynamics on a quantum computer by approximating the exponential of a sum of operators by a product of exponentials of the indiv…

quant-ph2017

Quantum Algorithm for Simulating the Wave Equation

Pedro C. S. Costa, Stephen Jordan, Aaron Ostrander

We present a quantum algorithm for simulating the wave equation under Dirichlet and Neumann boundary conditions. The algorithm uses Hamiltonian simulation and quantum linear system…

quant-ph2017

Quantum algorithm for linear differential equations with exponentially improved dependence on precision

Dominic W. Berry, Andrew M. Childs, Aaron Ostrander +1

We present a quantum algorithm for systems of (possibly inhomogeneous) linear ordinary differential equations with constant coefficients. The algorithm produces a quantum state tha…