System-level benchmarks
Exercise a whole processor with structured or random circuits to produce holistic scores that reflect qubit count, fidelity, connectivity, and the compiler together.
-
Two-copy benchmark that measures pairs of identical circuit outputs in the Bell basis, yielding fidelity estimates and circuit diagnostics that stay efficient beyond the classically simulable regime.
-
Volumetric benchmark that scores a device by the largest random Clifford circuit it executes faithfully, using stabilizer simulation to keep verification scalable far past Quantum Volume's ceiling.
-
IBM's speed benchmark: the sustained number of circuit layers per second a quantum system and its classical stack execute while running a batch of parameterized model circuits.
-
Estimates circuit fidelity by checking how often a device samples the high-probability bitstrings of random quantum circuits, the metric behind Google's quantum supremacy claim.
-
Proposed companion to Clifford Volume that scores a device by the largest random free-fermion circuit it executes faithfully, verified scalably through Majorana-mode expectation values.
-
Whole-device entanglement test that prepares an N-qubit GHZ state and certifies genuine multipartite entanglement whenever the measured fidelity clears 0.5.
-
IBM's scale-friendly quality benchmark: the fidelity of one full layer of simultaneous two-qubit gates across an N-qubit chain, reported per gate as EPLG.
-
Google's quick patch-level test that runs a random circuit and its inverse, fits the decay of the return probability, and scores qubit configurations by effective error per cycle.
-
Quantinuum's system-level benchmark that fits the exponential decay of mirrored random circuits' survival probability, with a decay rate that also gauges how coherent the noise is.
-
Google's second-order OTOC experiment on Willow, framed as a verifiable successor to random-circuit sampling because its echo observable can be re-measured on another quantum computer.
-
Proposed whole-machine benchmark that scores a device on solving linear systems built from random-circuit block-encoded matrices, in the spirit of classical computing's LINPACK.
-
Single-number, full-system benchmark that scores a device by the largest random square circuit it can run while still generating heavy outputs reliably.
-
Four-test scalable suite scoring pre-fault-tolerant devices on partial-Clifford random circuits, GHZ-state entanglement, Ising-dynamics simulation reach, and quantum neural network classification accuracy.
-
Sandia's scalable whole-processor test that runs self-inverting random circuits across the width × depth plane and maps where a device still returns the right bitstring.
-
Sandia framework that generalizes Quantum Volume from square circuits to the full width × depth plane, mapping the frontier of circuit shapes a device can execute.