MCP server

Quantum Expectations Official

com.quantum-expectations/quantum-expectations

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Quantum error-correction feasibility: success probability, qubit overhead, records, trends.

Website

At a glance

Type

MCP server

Publisher

quantum-expectations.com (verified by the MCP Registry)

Status

Working at last check

Tools

13

Token cost

About 4,390 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http quantum-expectations https://www.quantum-expectations.com/api/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

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

Gemini CLI

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

Cursor

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

VS Code

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

Antigravity

agy mcp add quantum-expectations https://www.quantum-expectations.com/api/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"quantum-expectations","server_url":"https://www.quantum-expectations.com/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"quantum-expectations","server_url":"https://www.quantum-expectations.com/api/mcp"}

Tools

• compare_hardware_scenarios ~355 tokens
  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 omitted.
• compute_expectation ~772 tokens
  Given a quantum circuit (2-qubit error rate p, qubit count n, depth d, optional connectivity class), compute the effective error rate, success probability, and optional surface-code or qLDPC overhead. Without error correction a 2d-lattice connectivity is charged as a routing multiplier on depth (res
• compute_fault_tolerant_resources ~731 tokens
  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,
• compute_quantum_volume_rate ~325 tokens
  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). OVERSTATES achievable rate: real compilation inflates the 2Q-gate c
• compute_required_error_rate ~417 tokens
  Inverse of compute_expectation. Given a circuit (numQubits, compDepth) and an acceptable effective error rate, return the required per-gate logical error rate (requiredLogicalErrorRatePerGate: a number, or null only when the target is genuinely unreachable; never 0) and, for every EC option (no-EC,
• fit_historic_series ~366 tokens
  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 modelling to answer "when might hardware reach X?". residual
• get_agent_brief ~89 tokens
  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 ~196 tokens
  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 hardware reach X?" — or pair with fit_historic_series for a
• list_current_quantum_computers ~180 tokens
  Return the representative-entry table of current SOTA quantum computers (id, hardware type, physical qubit count, 2-qubit error rate, connectivity class with a note on the coupling graph, source URL). Same data that powers the website's "Current Quantum Computers" table. For the model's capability p
• list_example_algorithms ~210 tokens
  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 `provenance` field: 'published-circuit' means the figure is reprodu
• list_hardware_timings ~209 tokens
  Return per-platform gate-cycle timings (2Q gate time, readout time, in SI seconds) plus the testbed they were measured on (`representativeDevice`) and the native 2Q gate name, with source URLs. Joins list_current_quantum_computers via `hardwareType`, but the numbers are BEST-CASE DEMONSTRATIONS from
• list_qldpc_codes ~301 tokens
  Return the catalog of supported qLDPC (quantum low-density parity-check) error-correction codes (id, label, family, n, k, d, circuitLevelDistance, ancilla counts, roundsPerLogicalOp, threshold, fitCoefficients {c0, c1, c2}, logicalErrorExponent [alpha = d_circ/2], source URLs, provenance, caveats).
• list_quops_scores ~239 tokens
  Return the measured QUOPS (quantum universal operation performance system, a cross-platform capability benchmark) scores (arXiv:2609.12146): per device, the largest random universal circuit size executed at polarization >= 1/sqrt(e) inside the cone w^2 <= s <= w^3, with width, QUOPS rate, architectu

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