AI & Machine Learning
quantum-expectations.com
Provides tools to compute quantum error rates, fault-tolerant resources, and compare quantum hardware scenarios.
ENDPOINT 1
https://www.quantum-expectations.com/api/mcp
MCP server metadata
- Name
- quantum-expectations
- Version
- 3.0.0
Known tools 12
compute_expectationGiven 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.
Inferred read-onlycompute_fault_tolerant_resourcesGiven 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.
Inferred read-onlycompare_hardware_scenariosRun the same circuit against multiple current SOTA hardware entries in one call so an agent can rank platforms without N sequential compute_expectation calls.
Inferred read-onlylist_current_quantum_computersReturn the representative-entry table of current SOTA quantum computers (id, hardware type, physical qubit count, 2-qubit error rate).
Inferred read-onlylist_hardware_timingsReturn 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.
Inferred read-onlycompute_quantum_volume_rateCompute the Quantum Volume Rate (QV/second): QVR = V_Q / (log2(V_Q) * t_2Q + t_meas).
Inferred read-onlyfit_historic_seriesFit a log-linear trend (ln(value) = slope * year + intercept) to one historic series — fidelity or qubit-count — for one hardware type.
Inferred read-onlylist_example_algorithmsReturn the curated list of example quantum algorithms with published resource estimates (qubit count, depth/gate count, source paper URL).
Inferred read-onlylist_qldpc_codesReturn the catalog of supported qLDPC codes (id, label, family, n, k, d, circuitLevelDistance, ancilla counts, roundsPerLogicalOp, threshold, prefactor [per block per syndrome cycle], logicalErrorExponent [= d_circ/2], source URLs).
Inferred read-onlyget_historic_seriesReturn the full historic time series — either two-qubit gate error rates ("fidelity") or physical qubit counts ("qubit-count") — broken down by hardware type.
Inferred read-onlyget_agent_briefReturn the plain-text site brief describing scope, assumptions, the honesty clause, and the API contract.
Inferred read-onlyCONNECT 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.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.