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Coming Soon

Quantum Hardware Intelligence by API

Programmatic access to QPU data, availability, benchmarks, and workload recommendations. Build quantum-aware applications without manually tracking hardware specifications.

API REFERENCE (PREVIEW)

Planned Endpoints

Illustrative — API not yet available
GET/v1/qpus

List all quantum processors with filtering by architecture, provider, and status.

{ "data": [{ "id": "ionq-forte", "qubits": 36, ... }] }
GET/v1/qpus/{id}

Full specifications for a specific QPU.

{ "id": "ibm-eagle-r3", "qubits": 127, "t1_us": 270, ... }
GET/v1/providers

Quantum hardware providers and their processor portfolios.

{ "data": [{ "id": "ibm", "name": "IBM Quantum", ... }] }
GET/v1/availability

Current access status for all tracked QPUs.

{ "ionq-forte": "online", "ibm-eagle-r3": "maintenance" }
GET/v1/benchmarks

Published benchmark data by QPU and metric.

{ "qpu": "quantinuum-h2-1", "2q_fidelity": 0.999 }
POST/v1/recommend

Workload-based QPU recommendations.

{ "recommended_architecture": "trapped-ion", "confidence": 0.87 }
REPRESENTATIVE SAMPLENot a live API response

Example: Workload Recommendation

Request

POST /v1/recommend
Authorization: Bearer sk_qpu_...

{
  "workload": "molecular-simulation",
  "framework": "qiskit",
  "priority": "fidelity",
  "min_qubits": 20
}

Response

{
  "recommended_architecture": "trapped-ion",
  "confidence": 0.87,
  "candidates": [
    {
      "qpu": "ionq-forte",
      "fit_score": 0.87,
      "reasoning": [
        "High two-qubit gate fidelity (99.5%)",
        "All-to-all connectivity",
        "Qiskit compatible via Braket"
      ]
    },
    {
      "qpu": "quantinuum-h2-1",
      "fit_score": 0.84,
      "reasoning": [
        "Highest published 2Q fidelity (99.9%)",
        "All-to-all connectivity"
      ]
    }
  ],
  "disclaimer": "Recommendations are informational."
}

Representative sample — API not yet available. Response structure subject to change.

USE CASES

What You Can Build

Hardware Availability Monitoring

Real-time QPU status tracking for automated job dispatch and queue management.

Automated QPU Selection

Route workloads to optimal hardware based on circuit requirements and fidelity targets.

Research Tooling Integration

Embed QPU comparison data into notebooks and research workflows without manual tracking.

Hardware Intelligence Dashboards

Build internal dashboards with live QPU specification and availability data.

ROUTING VISION

Future QPU Routing Layer

Under development — not yet available
01
Your Workload
Circuit requirements, qubit count, fidelity needs
02
hardware.co API
Hardware intelligence routing layer
03
Architecture Selection
Trapped-ion vs. superconducting vs. annealing
04
Processor Selection
Best available QPU for your parameters
05
Cloud / Direct Access
AWS Braket, IBM Quantum, Azure Quantum
06
Execution
Submit and retrieve results

Future QPU Routing Layer — under development

EARLY ACCESS

Join the API Waitlist

The hardware.co API is in development. Join the waitlist to be notified when programmatic access to quantum hardware intelligence becomes available.

  • QPU specs and availability via REST API
  • Workload-based hardware recommendations
  • Benchmark data for 30+ quantum processors
  • SDK support for Python and JavaScript (planned)

This API does not yet exist. Joining the waitlist only registers your interest — no API key will be issued until the product launches.

Request Early Access

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