dwave-cloud-client
A minimal client for interacting with D-Wave cloud resources.
Decision gist · record as of 2026-08-14
Yes, if you have D-Wave cloud access and need to run quantum annealing workloads from Python. The package is actively maintained, has low install friction, and provides a clean abstraction over SAPI. The Apache 2.0 license poses no restrictions. Install only if you have valid D-Wave credentials and a concrete quantum optimization problem; it is not useful as a general-purpose library.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; also requires valid D-Wave cloud credentials configured locally or via environment variables to connect to SAPI.
- Low friction installation with a pure-Python wheel.
- Active maintenance with a recent release (14 days old) and modern Python support (3.10–3.14).
License · maintenance · safety
Apache 2.0 (permissive) — Apache 2.0 permissive license allows commercial and private use with minimal restrictions; you must include a copy of the license and note any modifications, but no copyleft obligations apply.
last release 2026-07-31 (14 days) · last repo commit 2026-07-31 · 63 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 102,030 downloads/mo, #12,896 on PyPI
Alternatives
Verify before relying
pip install dwave-cloud-client
from dwave.cloud import Client
with Client.from_config() as client:
solver = client.get_solver()
result = solver.sample_ising({0: -1}, {(0, 1): 1}, num_reads=100)- Whether the package supports offline problem formulation or requires active cloud connectivity for all operations.
- Performance characteristics and latency expectations for typical problem sizes and submission patterns.
- Whether the package includes built-in retry logic or timeout handling for network failures.
What it is and what it does
D-Wave Cloud Client is a minimal REST client for communicating with D-Wave's SAPI quantum annealing service. It abstracts the HTTP layer and provides a Pythonic interface to discover available solvers, submit quantum optimization problems (Ising and QUBO models), and retrieve results. The package handles authentication, connection pooling via requests and urllib3, and response parsing with orjson.
You use it by instantiating a Client (typically from a local config file or environment), selecting a solver based on your problem's graph structure, and calling sample methods with your problem definition and solver parameters. The package is designed for workflows where you have a quantum optimization problem that fits D-Wave's hardware topology and you want to run it on their cloud infrastructure without managing HTTP details yourself.
Use it for
- Submit Ising or QUBO optimization problems to D-Wave quantum annealers from a Python application.
- Discover available solvers and their properties (graph topology, supported parameters) before formulating a problem.
- Integrate quantum annealing into a hybrid classical-quantum workflow where you preprocess data locally and offload optimization to the cloud.
- Batch-submit multiple problem instances to the same solver with different parameters and collect results asynchronously.
- Prototype quantum algorithms and test problem formulations against real quantum hardware without managing cloud infrastructure.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you have D-Wave cloud access and need to run quantum annealing workloads from Python.
The package is actively maintained, has low install friction, and provides a clean abstraction over SAPI. The Apache 2.0 license poses no restrictions. Install only if you have valid D-Wave credentials and a concrete quantum optimization problem; it is not useful as a general-purpose library.
Install
dwave-cloud-client on PyPI
Before you install
Low friction installation with a pure-Python wheel. Active maintenance with a recent release (14 days old) and modern Python support (3.10–3.14). Moderate dependency footprint (15 runtime packages) but all are standard, well-maintained libraries.
Requires Python 3.10 or later; also requires valid D-Wave cloud credentials configured locally or via environment variables to connect to SAPI.
License in practice
Apache 2.0 permissive license allows commercial and private use with minimal restrictions; you must include a copy of the license and note any modifications, but no copyleft obligations apply.
Quickstart
pip install dwave-cloud-client
from dwave.cloud import Client
with Client.from_config() as client:
solver = client.get_solver()
result = solver.sample_ising({0: -1}, {(0, 1): 1}, num_reads=100)Verify before relying
- Whether the package supports offline problem formulation or requires active cloud connectivity for all operations.
- Performance characteristics and latency expectations for typical problem sizes and submission patterns.
- Whether the package includes built-in retry logic or timeout handling for network failures.
Package facts
| License | Apache 2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 15 packagesrequestsurllib3pydantichomebaseclickpython-dateutilpluckydiskcachepackagingwerkzeugtyping-extensionsauthlibimportlib_metadataorjsonhttp-sf |
| Maintenance | Actively maintained 14 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 102,030 / month, #12,896 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: dwave_cloud_client-0.14.7-py3-none-any.whl
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