Learn Ocean-sdk - 10 Code Examples & CST Typing Practice Test

Ocean SDK is a Python and JavaScript software development kit designed for building decentralized data marketplaces, enabling secure sharing, monetization, and consumption of data using blockchain technology.

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Ocean SDK Minimal Optimization Problem Ocean SDK Single Variable BQM Ocean SDK Two-Variable Minimization Ocean SDK Spin Model Example Ocean SDK QUBO Example Ocean SDK Constraint Example Ocean SDK Penalty Model Example Ocean SDK Random BQM Ocean SDK Simulated Annealing Ocean SDK Hybrid Solver Example

Learn OCEAN-SDK with Real Code Examples

Updated Nov 25, 2025

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Code Sample Descriptions

Ocean SDK Minimal Optimization Problem

from dwave.system import DWaveSampler, EmbeddingComposite
import dimod

# BQM: minimize x0 + x1 - 2*x0*x1
bqm = dimod.BinaryQuadraticModel({'x0':1, 'x1':1}, {('x0','x1'):-2}, 0, vartype=dimod.BINARY)

sampler = EmbeddingComposite(DWaveSampler())
sampleset = sampler.sample(bqm, num_reads=10)
print(sampleset)

Defines a small BQM and samples it on a D-Wave system.

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Ocean SDK Single Variable BQM

from dwave.system import DWaveSampler, EmbeddingComposite
import dimod

bqm = dimod.BinaryQuadraticModel({'x':-1}, {}, 0, vartype=dimod.BINARY)
sampleset = EmbeddingComposite(DWaveSampler()).sample(bqm, num_reads=20)
print(sampleset)

A simple one-variable binary quadratic model submitted to a sampler.

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Ocean SDK Two-Variable Minimization

import dimod
from dwave.system import DWaveSampler, EmbeddingComposite

bqm = dimod.BinaryQuadraticModel({'a':0, 'b':0}, {('a','b'):1}, 0, vartype=dimod.BINARY)
samples = EmbeddingComposite(DWaveSampler()).sample(bqm, num_reads=50)
print(samples)

Minimizes a two-variable energy landscape using BQM.

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Ocean SDK Spin Model Example

import dimod
from dwave.system import DWaveSampler, EmbeddingComposite

bqm = dimod.BinaryQuadraticModel({'s0':-1, 's1':1}, {('s0','s1'):-1}, 0, vartype=dimod.SPIN)
sampleset = EmbeddingComposite(DWaveSampler()).sample(bqm, num_reads=20)
print(sampleset)

Uses SPIN variables instead of BINARY.

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Ocean SDK QUBO Example

import dimod
from dwave.system import DWaveSampler, EmbeddingComposite

Q = {('x0','x0'):1, ('x1','x1'):1, ('x0','x1'):-1}
bqm = dimod.BinaryQuadraticModel.from_qubo(Q)
sampleset = EmbeddingComposite(DWaveSampler()).sample(bqm, num_reads=15)
print(sampleset)

Creates a QUBO dictionary and solves it using dimod.

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Ocean SDK Constraint Example

import dimod
from dwave.system import DWaveSampler, EmbeddingComposite

bqm = dimod.BinaryQuadraticModel({'x':1, 'y':1}, {('x','y'):2}, 0, vartype=dimod.BINARY)
bqm.add_variable('z', -1)
samples = EmbeddingComposite(DWaveSampler()).sample(bqm, num_reads=30)
print(samples)

Adds a soft constraint to a BQM and samples it.

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Ocean SDK Penalty Model Example

import dimod
from dwave.system import DWaveSampler, EmbeddingComposite

x, y = 'x', 'y'
bqm = dimod.BinaryQuadraticModel({x:1, y:1}, {(x,y):-2}, 0, vartype=dimod.BINARY)
samples = EmbeddingComposite(DWaveSampler()).sample(bqm, num_reads=20)
print(samples)

Uses dimod to encode a penalty for x+y=1.

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Ocean SDK Random BQM

import dimod
from dwave.system import EmbeddingComposite, DWaveSampler

bqm = dimod.generators.random.randint(3)
samples = EmbeddingComposite(DWaveSampler()).sample(bqm, num_reads=25)
print(samples)

Generates a random BQM with 3 variables.

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Ocean SDK Simulated Annealing

import dimod

bqm = dimod.BinaryQuadraticModel({'x':1, 'y':1}, {('x','y'):-1}, 0, vartype=dimod.BINARY)
sampleset = dimod.SimulatedAnnealingSampler().sample(bqm, num_reads=10)
print(sampleset)

Uses dimod's simulated annealing sampler for local testing.

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Ocean SDK Hybrid Solver Example

import dimod
from dwave.system import LeapHybridSampler

bqm = dimod.BinaryQuadraticModel({'a':-1, 'b':2}, {('a','b'):1}, 0, vartype=dimod.BINARY)
sampleset = LeapHybridSampler().sample(bqm)
print(sampleset)

Runs BQM on D-Wave's hybrid solver if available.

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Frequently Asked Questions about Ocean-sdk

What is Ocean-sdk?

What are the primary use cases for Ocean-sdk?

Publishing and monetizing datasets. Secure AI model training on private data. Building decentralized data marketplaces. Data tokenization for access control. Enabling compute-to-data workflows

What are the strengths of Ocean-sdk?

Enables decentralized data marketplaces. Supports privacy-preserving computation. Tokenized access and monetization. Cross-chain compatibility (EVM chains). Simplifies integration for developers via SDKs

What are the limitations of Ocean-sdk?

Limited adoption compared to traditional data platforms. Requires blockchain knowledge for advanced features. Some compute-to-data workflows are still experimental. Mainly focused on EVM-compatible networks. Smaller developer community than major SDKs

How can I practice Ocean-sdk typing speed?

CodeSpeedTest offers 10+ real Ocean-sdk code examples for typing practice. You can measure your WPM, track accuracy, and improve your coding speed with guided exercises.

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Code Sample Descriptions

Ocean SDK Minimal Optimization Problem

from dwave.system import DWaveSampler, EmbeddingComposite
import dimod

# BQM: minimize x0 + x1 - 2*x0*x1
bqm = dimod.BinaryQuadraticModel({'x0':1, 'x1':1}, {('x0','x1'):-2}, 0, vartype=dimod.BINARY)

sampler = EmbeddingComposite(DWaveSampler())
sampleset = sampler.sample(bqm, num_reads=10)
print(sampleset)

Defines a small BQM and samples it on a D-Wave system.

Let’s Try →

Ocean SDK Single Variable BQM

from dwave.system import DWaveSampler, EmbeddingComposite
import dimod

bqm = dimod.BinaryQuadraticModel({'x':-1}, {}, 0, vartype=dimod.BINARY)
sampleset = EmbeddingComposite(DWaveSampler()).sample(bqm, num_reads=20)
print(sampleset)

A simple one-variable binary quadratic model submitted to a sampler.

Let’s Try →

Ocean SDK Two-Variable Minimization

import dimod
from dwave.system import DWaveSampler, EmbeddingComposite

bqm = dimod.BinaryQuadraticModel({'a':0, 'b':0}, {('a','b'):1}, 0, vartype=dimod.BINARY)
samples = EmbeddingComposite(DWaveSampler()).sample(bqm, num_reads=50)
print(samples)

Minimizes a two-variable energy landscape using BQM.

Let’s Try →

Ocean SDK Spin Model Example

import dimod
from dwave.system import DWaveSampler, EmbeddingComposite

bqm = dimod.BinaryQuadraticModel({'s0':-1, 's1':1}, {('s0','s1'):-1}, 0, vartype=dimod.SPIN)
sampleset = EmbeddingComposite(DWaveSampler()).sample(bqm, num_reads=20)
print(sampleset)

Uses SPIN variables instead of BINARY.

Let’s Try →

Ocean SDK QUBO Example

import dimod
from dwave.system import DWaveSampler, EmbeddingComposite

Q = {('x0','x0'):1, ('x1','x1'):1, ('x0','x1'):-1}
bqm = dimod.BinaryQuadraticModel.from_qubo(Q)
sampleset = EmbeddingComposite(DWaveSampler()).sample(bqm, num_reads=15)
print(sampleset)

Creates a QUBO dictionary and solves it using dimod.

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Ocean SDK Constraint Example

import dimod
from dwave.system import DWaveSampler, EmbeddingComposite

bqm = dimod.BinaryQuadraticModel({'x':1, 'y':1}, {('x','y'):2}, 0, vartype=dimod.BINARY)
bqm.add_variable('z', -1)
samples = EmbeddingComposite(DWaveSampler()).sample(bqm, num_reads=30)
print(samples)

Adds a soft constraint to a BQM and samples it.

Let’s Try →

Ocean SDK Penalty Model Example

import dimod
from dwave.system import DWaveSampler, EmbeddingComposite

x, y = 'x', 'y'
bqm = dimod.BinaryQuadraticModel({x:1, y:1}, {(x,y):-2}, 0, vartype=dimod.BINARY)
samples = EmbeddingComposite(DWaveSampler()).sample(bqm, num_reads=20)
print(samples)

Uses dimod to encode a penalty for x+y=1.

Let’s Try →

Ocean SDK Random BQM

import dimod
from dwave.system import EmbeddingComposite, DWaveSampler

bqm = dimod.generators.random.randint(3)
samples = EmbeddingComposite(DWaveSampler()).sample(bqm, num_reads=25)
print(samples)

Generates a random BQM with 3 variables.

Let’s Try →

Ocean SDK Simulated Annealing

import dimod

bqm = dimod.BinaryQuadraticModel({'x':1, 'y':1}, {('x','y'):-1}, 0, vartype=dimod.BINARY)
sampleset = dimod.SimulatedAnnealingSampler().sample(bqm, num_reads=10)
print(sampleset)

Uses dimod's simulated annealing sampler for local testing.

Let’s Try →

Ocean SDK Hybrid Solver Example

import dimod
from dwave.system import LeapHybridSampler

bqm = dimod.BinaryQuadraticModel({'a':-1, 'b':2}, {('a','b'):1}, 0, vartype=dimod.BINARY)
sampleset = LeapHybridSampler().sample(bqm)
print(sampleset)

Runs BQM on D-Wave's hybrid solver if available.

Let’s Try →

Frequently Asked Questions about Ocean-sdk

What is Ocean-sdk?

What are the primary use cases for Ocean-sdk?

Publishing and monetizing datasets. Secure AI model training on private data. Building decentralized data marketplaces. Data tokenization for access control. Enabling compute-to-data workflows

What are the strengths of Ocean-sdk?

What are the limitations of Ocean-sdk?

How can I practice Ocean-sdk typing speed?

CodeSpeedTest offers 10+ real Ocean-sdk code examples for typing practice. You can measure your WPM, track accuracy, and improve your coding speed with guided exercises.