Paris, December 4, 2020
Atos introduces “Q-score”, the initially common quantum metrics, applicable to all programmable quantum processors. Atos’ Q-score measures a quantum system’s usefulness at managing serious-life difficulties, those people which simply cannot be solved by traditional desktops, alternatively than simply just measuring its theoretical efficiency. Q-score reaffirms Atos’ commitment to supply early and concrete gains of quantum computing. Around the earlier 5 several years, Atos has grow to be a pioneer in quantum applications by its participation in industrial and academic partnerships and funded tasks, operating hand-in-hand with industrials to create use-situations which will be equipped to be accelerated by quantum computing.
“Faced with the emergence of a myriad of processor systems and programming approaches, businesses wanting to invest in quantum computing require a reliable metrics to aid them choose the most effective path for them. Currently being components-agnostic, Q-score is an aim, simple and reasonable metrics which they can rely on,” reported Elie Girard, Atos CEO. “Since the launch of ‘Atos Quantum’ in 2016, the initially quantum computing industry plan in Europe, our intention has remained the same: advance the improvement of industry and analysis applications, and pave the way to quantum superiority.”
What does Q-score evaluate?
These days the range of qubits (quantum models) is the most typical figure of advantage for evaluating the efficiency of a quantum system. However, qubits are volatile and vastly fluctuate in high quality (velocity, steadiness, connectivity, etcetera.) from one quantum technology to an additional (this kind of as supraconducting, trapped ions, silicon and photonics), generating it an imperfect benchmark software. By focusing on the potential to fix nicely-identified combinatorial optimization difficulties, Atos Q-score will present analysis centers, universities, firms and technological leaders with explicit, reliable, aim and similar benefits when fixing serious-entire world optimization difficulties.
Q-score measures the real efficiency of quantum processors when fixing an optimization trouble, consultant of the in the vicinity of-expression quantum computing era (NISQ – Noisy Intermediate Scale Quantum). To present a body of reference for evaluating efficiency scores and keep uniformity, Q-score relies on a standard combinatorial optimization trouble, the same for all assessments (the Max-Slash Challenge, equivalent to the nicely-identified TSP – Travelling Salesman Challenge, see beneath). The score is calculated dependent on the highest range of variables in this kind of a trouble that a quantum technology can optimize (ex: 23 variables = 23 Q-score or Qs).
Atos will manage the publication of a yearly listing of the most strong quantum processors in the entire world dependent on Q-score. Owing in 2021, the initially report will include things like real self-assessments delivered by companies.
Primarily based on an open access program package deal, Q-score is built on three pillars:
- Software pushed: Q-score is the only metrics system dependent on in the vicinity of-expression accessible quantum algorithms and measures a quantum system’s capacity to fix functional operational difficulties
- Openness and simplicity of use: Universal and no cost, Q-score gains from Atos’ technology-neutral approach. Its program package deal, together with resources and methodology, does not have to have weighty computation energy to calculate the metrics
- Objectiveness and reliability: Atos combines a components-agnostic, technology-agnostic approach with a sturdy experience in algorithm style and optimization obtained operating with important industry purchasers and technology leaders in the quantum field. The methodology applied to construct Q-score will be created general public and open to assessment.
A no cost program package, which enables Q-score to be run on any processor will be accessible in Q1 2021. Atos invitations all companies to run Q-score on their technology and publish their benefits.
Many thanks to the highly developed qubit simulation abilities of the Atos Quantum Finding out Machine (Atos QLM), its strong quantum simulator, Atos is equipped to calculate Q-score estimates for many platforms. These estimates consider into account the characteristics publicly delivered by the companies. Results array all-around a Q-score of fifteen Qs, but development is fast, with an estimated common Q-score courting from one year back in the spot of 10 Qs, and an estimated projected common Q-score courting one year from now to be higher than twenty Qs.
Q-score has been reviewed by the Atos Quantum Advisory Board, a group of global industry experts, mathematicians and physicists authorities in their fields, which met on
December 4, 2020.