INDIVIDUAL MCP TOOL

fit_historic_series

Fit a log-linear trend (ln(value) = slope * year + intercept) to one historic series — fidelity or qubit-count — for one hardware type.

quantum-expectations.comnone authenticationAvailability not checked

Input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent endpoint

quantum-expectations.com

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.quantum-expectations]
url = "https://www.quantum-expectations.com/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "quantum-expectations": {
      "type": "http",
      "url": "https://www.quantum-expectations.com/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: quantum-expectations
Remote MCP URL: https://www.quantum-expectations.com/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "quantum-expectations": {
      "url": "https://www.quantum-expectations.com/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "quantum-expectations": {
      "type": "http",
      "url": "https://www.quantum-expectations.com/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "quantum-expectations",
  "transport": "streamable-http",
  "url": "https://www.quantum-expectations.com/api/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

compute_expectation — Given a quantum circuit (2-qubit error rate p, qubit count n, depth d), compute the effective error rate, success probability, and optional surface-code or qLDPC overhead.
compute_required_error_rate — Inverse of compute_expectation.
compute_fault_tolerant_resources — Given an algorithm stated as (numLogicalQubits, tCount) and a physical error rate (or hardwareId), derive the full surface-code + magic-state-distillation footprint from the general laws of the Litinski lattice-surgery cost model (no per-scenario constants): distillation factory choice, tile layout, required code distance, total physical qubits, and wall-clock time.
compare_hardware_scenarios — Run the same circuit against multiple current SOTA hardware entries in one call so an agent can rank platforms without N sequential compute_expectation calls.
list_current_quantum_computers — Return the representative-entry table of current SOTA quantum computers (id, hardware type, physical qubit count, 2-qubit error rate).
list_hardware_timings — Return per-platform gate-cycle timings (2Q gate time, readout time, in SI seconds) plus the representative device and native 2Q gate name, with source URLs.
compute_quantum_volume_rate — Compute the Quantum Volume Rate (QV/second): QVR = V_Q / (log2(V_Q) * t_2Q + t_meas).
list_example_algorithms — Return the curated list of example quantum algorithms with published resource estimates (qubit count, depth/gate count, source paper URL).