Researchers Measure Quantum Processor Speed Using New Benchmark

Andrew Wack and Riverlane Computing A performance shortfall exists for workloads involving layered, parameterised circuits repeatedly executed within classical-quantum workflows like variational algorithms and error-mitigated simulations. The team formalises CLOPSh (Circuit Layer Operations Per Second) as a thorough speed benchmark defined over layered, hardware-aware circuits. CLOPSh measures the sustained rate at which the system executes physical layers, parallel slices of qubit-disjoint two-qubit gates separated by synchronization barriers. As each layer represents one time slice of an N-qubit circuit, this rate directly maps to the execution rate of layered N-qubit circuits connecting it to published device benchmarks. Balancing scale, quality and speed to achieve impactful quantum computation Scientists increasingly recognise three interdependent attributes governing quantum computing performance: scale, quality, and speed. Scale determines problem size representation; quality dictates circuit depth reliability; and speed defines completed work per unit time. This framework underpins the benchmarking of near-term…