HALOWERKQuantumwerk
portfolio qaoa
Enumerates every selection of exactly k assets for at most 16 assets, maximizing summed expected return minus a caller-selected covariance penalty. It runs no quantum circuit and provides a deterministic classical optimum for testing a corresponding binary QAOA or QUBO formulation; it is not investment advice and ignores transaction costs and allocation sizes.
POST https://quantum.halowerk.com/v1/portfolio-qaoaEingaben
| Feld | Typ | Pflicht | Beschreibung |
|---|---|---|---|
| assets | array | Ja | |
| covariance | array | Ja | |
| select_count | integer | Ja | |
| risk_aversion | number | Ja |
Vollständiges Eingabeschema anzeigen
{
"type": "object",
"required": [
"assets",
"covariance",
"select_count",
"risk_aversion"
],
"additionalProperties": false,
"properties": {
"assets": {
"type": "array",
"minItems": 1,
"maxItems": 16,
"items": {
"type": "object",
"required": [
"name",
"expected_return"
],
"additionalProperties": false,
"properties": {
"name": {
"type": "string",
"minLength": 1,
"maxLength": 64
},
"expected_return": {
"type": "number",
"minimum": -1000,
"maximum": 1000
}
}
}
},
"covariance": {
"type": "array",
"minItems": 1,
"maxItems": 16,
"items": {
"type": "array",
"minItems": 1,
"maxItems": 16,
"items": {
"type": "number",
"minimum": -1000000,
"maximum": 1000000
}
}
},
"select_count": {
"type": "integer",
"minimum": 1,
"maximum": 16
},
"risk_aversion": {
"type": "number",
"minimum": 0,
"maximum": 1000000
}
}
}Veröffentlichtes Eingabebeispiel
{
"assets": [
{
"name": "A",
"expected_return": 0.08
},
{
"name": "B",
"expected_return": 0.06
},
{
"name": "C",
"expected_return": 0.1
},
{
"name": "D",
"expected_return": 0.04
}
],
"covariance": [
[
0.04,
0.01,
0.015,
0.005
],
[
0.01,
0.03,
0.008,
0.004
],
[
0.015,
0.008,
0.06,
0.006
],
[
0.005,
0.004,
0.006,
0.02
]
],
"select_count": 2,
"risk_aversion": 0.7
}Ergebnis & Dokumentation
Veröffentlichtes Ergebnisschema anzeigen
{
"$ref": "https://quantum.halowerk.com/v1/portfolio-qaoa/schema#/outputSchema"
}Veröffentlichtes Ergebnisbeispiel öffnen
Maschinenlesbare Dokumentation dieses Hubs
Quelle dieser Seite: der veröffentlichte HALOWERK-Katalog. Stand: 2026-11-01, 15:19 UTC.
Weitere Endpunkte dieses Hubs
- Quantumwerk0,002 USDC
annealer schedule
POSThttps://quantum.halowerk.com/v1/annealer-scheduleInterpolates a caller-supplied start and end temperature across a bounded number of steps using either a linear or geometric rule. It does not run an annealer, optimize a problem Hamiltonian or tune a schedule from hardware measurements.
- Quantumwerk0,004 USDC
circuit optimize
POSThttps://quantum.halowerk.com/v1/circuit-optimizeCancels adjacent identical self-inverse gates on identical ordered targets and folds adjacent RX, RY or RZ rotations on identical targets. It preserves only these local identities; it does not commute gates, model hardware topology, synthes
- Quantumwerk0,004 USDC
entanglement test
POSThttps://quantum.halowerk.com/v1/entanglement-testConverts ++, +−, −+ and −− counts into a correlation for each of AB, AB′, A′B and A′B′, then computes S = E(AB) + E(AB′) + E(A′B) − E(A′B′). A value above the classical bound in supplied data does not by itself demonstrate entanglement or c