CloudQSim.jl

Client for simulating quantum computers in cloud
Author CloudQuantumSim
Popularity
3 Stars
Updated Last
11 Months Ago
Started In
February 2023

CloudQSim

Build status (Github Actions)

Installation

pkg> add CloudQSim

Usage

CloudQSim allows to calculate evolution of observables for quantum hamiltonians. Any diagonal observable is supported. An observable is defined by a vector that maps each quantum state to the observable value.

Parameters:

  • hamiltonians - a Bloqade.jl hamiltonian
  • time_points - number of poinst in time when observables are evaluated
  • observables - Vector of observables to evaluate
  • clconf - CloudQSim.CloudConfig specifies the servers to use
  • subspace_radius (optional keyword) - used to generate subspace for faster evolution

Minimal example

using BloqadeExpr, BloqadeLattices, BloqadeWaveforms
import CloudQSim

nsites = 10
atoms = generate_sites(ChainLattice(), nsites, scale = 5.74)
T_end = 1.
Δ = piecewise_linear(; clocks = [0, T_end], values = [0., 0.])
ϕ = piecewise_constant(; clocks = [0, T_end], values = [0.])
Ω = piecewise_linear(; clocks = [0, T_end], values = [2π, 2π])
h = rydberg_h(atoms; Ω = Ω, Δ = Δ, ϕ = ϕ)

clconf = CloudQSim.CloudConfig()
CloudQSim.add_server!(clconf, "cloudqs.lykov.tech", 7700)

qstates = 0:2^nsites-1
isodd = [x%2 for x in qstates]
rydberg = [Base.count_ones(x) for x in qstates]
observables = [isodd, rydberg]
time_points = 10
data = CloudQSim.cloud_simulate(h, time_points, observables, clconf)

See examples/ folder for more usage.

Used By Packages

No packages found.