Algorithmic qubits

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Algorithmic Qubits (AQ) are an application based benchmark of quantum computers. Introduced by IonQ in 2020, the goal was to define a "single number figure of merit to evaluate the performance of quantum computers for solving a representative set of quantum algorithms."[1] While other benchmarks such as IBM's Quantum volume are run on random quantum circuits that do not necessarily have practical applications, AQ is measured on specific algorithms which are known to have value by industry, such as those defined by the Quantum Economic Development Consortium.

Algorithms used to define AQ 1.0

IonQ published code for calculating AQ in a Git code repository. The formal definition of calculating AQ is composed of several steps:

  • Let the set of circuits in the benchmark suite be denoted by C.
  • Locate each circuit c ∈ C as a point on the 2D plot by its Width, wc (Number of qubits), and Depth, dc (Number of Controlled NOT (CX) gates)
  • Define success probability for a Quantum circuit c, Fc
    • The circuit passes if Fc - ϵc > t, where ϵc is the statistical error based on the number of shots, where sc is the number of runs, and t = 1/e = 0.37 is the threshold.
  • Then, #AQ = N, where N=max.

The data is usually shown graphically as a volumetric plot.

Algorithm Circuit width Number of circuits per width
Quantum Fourier transform >2 3
Quantum phase estimation algorithm >3 3
Quantum amplitude estimation >3 3
Monte Carlo sampling >4 1
VQE simulation Even numbers between 4–12 3
Hamiltonian simulation Even numbers between 2–20 1

Table of scores

Date Company Machine AQ
March 2023 IonQ Aria 20 [2]
March 2023 Quantinuum H1 12 [2]
March 2023 IBM Guadalupe 6[2]
March 2023 Rigetti Aspen-M1 5[2]
September 2023 IonQ Forte 29[3]
March 2024 Quantinuum H2-1 26[4]
March 2024 IonQ Forte 9[4]
March 2024 Quantinuum H2-1 32[4]
March 2024 IonQ Forte 29[4]
December 2024 IonQ Forte Enterprise 36[5]
September 2025 IonQ Tempo 64[6]

Limitations and criticisms

References

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