Quantum Volume (Ofer Abarbanel online library)

Quantum volume is a metric that measures the performance of a quantum computer’s capabilities and error rates. IBM’s quantum computer Raleigh, achieved a score of 32 in January 2020. In March 2020 Honeywell’s quantum computer achieved a volume of 64 with just 6 qubits[1] In August 2020 IBM announced it had also achieved a volume of 64 in a 27-qubit system.[2]

Quantum computers are difficult to compare. Quantum volume is a single number designed to show all round performance. It is calculated by taking into account several features of a quantum computer, starting with its number of qubits—other measures used are gate and measurement errors, crosstalk and connectivity.[3][4][5]

IBM introduced the Quantum Volume metric [6] because a classical computer’s transistor count and a quantum computer’s quantum bit count aren’t the same. Qubits decohere with a resulting loss of performance so a few fault tolerant bits are more valuable as a performance measure than a larger number of noisy, error-prone qubits. [7][8]

Generally, the larger the quantum volume, the more complex the problems a quantum computer can solve.[9]

References

  1. ^“Quantum Volume: A New Quantum Metric? | Omdia | Tractica”. Retrieved 2020-06-26.
  2. ^Condon, Stephanie (August 20, 2020). “IBM hits new quantum computing milestone”. ZDNet. Retrieved 2020-08-21.
  3. ^“Honeywell claims to have built the highest-performing quantum computer available”. phys.org. Retrieved 2020-06-22.
  4. ^Smith-Goodson, Paul. “Quantum Volume: A Yardstick To Measure The Performance Of Quantum Computers”. Forbes. Retrieved 2020-06-22.
  5. ^“Measuring Quantum Volume”. Qiskit.org. Retrieved 2020-08-21.
  6. ^Cross, Andrew W.; Bishop, Lev S.; Sheldon, Sarah; Nation, Paul D.; Gambetta, Jay M. (2018). “Validating quantum computers using randomized model circuits”. Phys. Rev. A. 100 (3): 032328. doi:10.1103/PhysRevA.100.032328. Retrieved 2020-10-02.
  7. ^Mandelbaum, Ryan F. (2020-08-20). “What Is Quantum Volume, Anyway?”. Medium Qiskit. Retrieved 2020-08-21.
  8. ^Sanders, James (August 12, 2019). “Why quantum volume is vital for plotting the path to quantum advantage”. TechRepublic. Retrieved 2020-08-22.
  9. ^Patty, Lee (2020). “Quantum Volume: The Power of Quantum Computers”. www.honeywell.com. Chief Scientist for Honeywell Quantum Solutions. Retrieved 2020-08-21.
  10. ^ Jump up to:ab Moll, Nikolaj; Barkoutsos, Panagiotis; Bishop, Lev S; Chow, Jerry M; Cross, Andrew; Egger, Daniel J; Filipp, Stefan; Fuhrer, Andreas; Gambetta, Jay M; Ganzhorn, Marc; Kandala, Abhinav; Mezzacapo, Antonio; Müller, Peter; Riess, Walter; Salis, Gian; Smolin, John; Tavernelli, Ivano; Temme, Kristan (2018). “Quantum optimization using variational algorithms on near-term quantum devices”. Quantum Sci. Technol. 3: 030503. doi:10.1088/2058-9565/aab822.

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