Quantum Expectations is a remote MCP server that gives an AI agent 12 tools, among them compare_hardware_scenarios, compute_expectation, compute_fault_tolerant_resources. It answers at https://www.quantum-expectations.com/api/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 10 of 10 times since 5 September 2026; the last check, on 18 October 2026, succeeded.
Quantum error-correction feasibility: success probability, qubit overhead, records, trends.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
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. Defaults to every entry in list_current_quantum_computers when hardwareIds is omi Inputs: numQubits, compDepth, useErrorCorrection, errorCorrectionCode, distanceSurfaceCode, hardwareIds |
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. The response is self-describing (formulas, assumptions, caveats, glo Inputs: qubitErrorRate, hardwareId, numQubits, compDepth, useErrorCorrection, errorCorrectionCode |
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-sc Inputs: numLogicalQubits, tCount, qubitErrorRate, hardwareId, targetSuccessProbability, dataBlock |
compute_quantum_volume_rate | Compute the Quantum Volume Rate (QV/second): QVR = V_Q / (log2(V_Q) * t_2Q + t_meas). First-order estimate of how fast a device prepares one QV-sized square circuit (one native 2Q gate per QV layer + one end-of-circuit measurement). OVERSTA Inputs: quantumVolume, t2QSeconds, tMeasurementSeconds |
compute_required_error_rate | Inverse of compute_expectation. Given a circuit (numQubits, compDepth) and an acceptable effective error rate, return the required per-gate logical error rate and, for every EC option (no-EC, surface-code per distance, every qLDPC code), th Inputs: numQubits, compDepth, acceptableErrorRatePercent |
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. Atomic primitive: compose with list_current_quantum_computers, compute_required_error_rate, or your own Inputs: seriesType, hardwareType, targetValue |
get_agent_brief | Return the plain-text site brief describing scope, assumptions, the honesty clause, and the API contract. Mirrors the /agent.txt document served by the website. |
get_historic_series | Return the full historic time series — either two-qubit gate error rates ("fidelity") or physical qubit counts ("qubit-count") — broken down by hardware type. Each datapoint carries a source URL. Use this to extrapolate trends — "when might Inputs: seriesType |
list_current_quantum_computers | Return the representative-entry table of current SOTA quantum computers (id, hardware type, physical qubit count, 2-qubit error rate). Same data that powers the website's "Current Quantum Computers" table. |
list_example_algorithms | Return the curated list of example quantum algorithms with published resource estimates (qubit count, depth/gate count, source paper URL). Useful for comparing what algorithms need vs. what hardware can deliver. Each entry carries a `proven |
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. Joins list_current_quantum_computers via `hardwareType`. Use for runtime estimates, |
list_qldpc_codes | Return 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). Use a c |
Every block below points at https://www.quantum-expectations.com/api/mcp. Pick your client and copy.
claude mcp add --transport http quantum-expectations https://www.quantum-expectations.com/api/mcp
{
"mcpServers": {
"quantum-expectations": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://www.quantum-expectations.com/api/mcp"]
}
}
}{
"mcpServers": {
"quantum-expectations": {
"url": "https://www.quantum-expectations.com/api/mcp"
}
}
}{
"servers": {
"quantum-expectations": {
"type": "http",
"url": "https://www.quantum-expectations.com/api/mcp"
}
}
}{
"context_servers": {
"quantum-expectations": {
"url": "https://www.quantum-expectations.com/api/mcp"
}
}
}{
"mcpServers": {
"quantum-expectations": {
"serverUrl": "https://www.quantum-expectations.com/api/mcp"
}
}
}{
"mcpServers": {
"quantum-expectations": {
"url": "https://www.quantum-expectations.com/api/mcp"
}
}
}name: Quantum Expectations
version: 0.0.1
schema: v1
mcpServers:
- name: Quantum Expectations
type: streamable-http
url: https://www.quantum-expectations.com/api/mcp{
"mcpServers": {
"quantum-expectations": {
"httpUrl": "https://www.quantum-expectations.com/api/mcp"
}
}
}{
"mcpServers": {
"quantum-expectations": {
"type": "http",
"url": "https://www.quantum-expectations.com/api/mcp"
}
}
}{
"mcpServers": {
"quantum-expectations": {
"url": "https://www.quantum-expectations.com/api/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fwww.quantum-expectations.com%2Fapi%2Fmcp&type=streamable_http&id=quantum-expectations&name=Quantum%20Expectations
It answered our last check on 18 October 2026 in 271 ms. Over 10 checks since 5 September 2026 it answered 10. Status here comes from Neuronto's own probes, not from the publisher.
Yes. It is published by quantum-expectations.com and served from www.quantum-expectations.com, the vendor's own domain: https://www.quantum-expectations.com/api/mcp.
12, as returned by the server's own tools/list on 31 August 2026: compare_hardware_scenarios, compute_expectation, compute_fault_tolerant_resources, compute_quantum_volume_rate, compute_required_error_rate, fit_historic_series, get_agent_brief, get_historic_series, and 4 more.
It answered our last check on 18 October 2026 in 271 ms. Over 10 checks since 5 September 2026 it answered 10.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://www.quantum-expectations.com/api/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: com.quantum-expectations. Endpoint host: www.quantum-expectations.com. ARD identifier: urn:air:com.quantum-expectations:mcp:quantum-expectations.
First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.