Current collected state Current
Observed since 20 Oct, 19:42 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
Python SDK for Admiral — combinatorial optimization platform
Combinatorial optimization platform. 9 problem types, 27 proprietary algorithms, solver racing, AI advisor, and natural language formulation — all behind a single API.
pip install admiral-solver
from admiral import Solver
solver = Solver(api_key="adm_sk_...")
# Solve a QUBO problem
result = solver.solve_qubo(Q=[[-5, 2, 4], [0, -3, 1], [0, 0, -8]])
print(result.energy) # -13.0
print(result.solution) # [1, 0, 1]
| Type | Description |
|---|---|
| QUBO | Quadratic unconstrained binary optimization |
| Ising | Spin glass models |
| HUBO | Higher-order binary optimization |
| DQM | Discrete quadratic models |
| CQM | Constrained quadratic models |
| MAX-SAT | Maximum satisfiability |
| PBO | Pseudo-boolean optimization |
| WCSP | Weighted constraint satisfaction |
| Potts | Multi-state lattice models |
solver.solve_qubo(Q, timeout=30, num_reads=100)
solver.solve_ising(h, J, timeout=30, num_reads=100)
solver.solve_hubo(terms, num_variables, timeout=30)
solver.solve_dqm(domains, linear, quadratic, timeout=30)
solver.solve_cqm(c, Q, A, b, var_types, bounds, timeout=30)
solver.solve_maxsat(clauses, num_variables, timeout=30)
solver.solve_pbo(objective, constraints, num_variables, timeout=30)
solver.solve_wcsp(num_variables, domains, functions, timeout=30)
solver.solve_potts(num_nodes, num_states, edges, timeout=30)
Apache 2.0
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 2.0.3 | 8 Apr 2026 | 4 |
This describes our collected data; it is not a security assessment.
Observed since 20 Oct, 19:42 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
package:3f7222558b391e5ac13b74b6fd79ad18576463c46fdf4981e22978123547c3e4