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Quantum Expectations

com.quantum-expectations/quantum-expectations · v0.8.0

Measured by MCP Station

Description written by the publisher, not verified

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

Connect

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

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

Tools as reported by the server

• compute_expectation
  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_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 (requiredLogicalErrorRatePerGate: a number, or null only when the target is genuinely unreachable; never 0) and, for every EC option (no-EC,
• 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,
• 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 omitted.
• list_current_quantum_computers
  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_quops_scores
  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
• list_hardware_timings
  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
• 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). OVERSTATES achievable rate: real compilation inflates the 2Q-gate c
• 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 modelling to answer "when might hardware reach X?". residual
• 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 `provenance` field: 'published-circuit' means the figure is reprodu
• list_qldpc_codes
  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).
• 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 hardware reach X?" — or pair with fit_historic_series for a
• 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.

Tool changes

• 2026-10-24: compute_expectation, compute_required_error_rate, compute_fault_tolerant_resources, compare_hardware_scenarios, list_current_quantum_computers, list_quops_scores, list_hardware_timings, compute_quantum_volume_rate, fit_historic_series, list_example_algorithms, list_qldpc_codes, get_historic_series
• 2026-10-16: compute_expectation, compute_required_error_rate, compute_fault_tolerant_resources, compare_hardware_scenarios, list_current_quantum_computers, list_quops_scores, list_hardware_timings, compute_quantum_volume_rate, fit_historic_series, list_example_algorithms, list_qldpc_codes, get_historic_series

Website · JSON · Text for agents · Registry updated 2026-10-23