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Researchers demonstrated a provable quantum speedup using the Bernstein-Vazirani algorithm on superconducting quantum processors. This quantum speedup was observed with dynamical decoupling on one processor, showcasing a real computational advantage.

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Area of Science:

  • Quantum Computing
  • Algorithmic Speedup
  • Superconducting Processors

Background:

  • Achieving provable algorithmic quantum speedup on current non-fault-tolerant quantum computers remains a significant challenge.
  • Experimental demonstrations are crucial for validating theoretical quantum advantages.

Purpose of the Study:

  • To experimentally demonstrate a provable algorithmic quantum speedup using today's quantum hardware.
  • To quantify the speedup in terms of the time-to-solution metric scaling with problem size.

Main Methods:

  • Implementation of the single-shot Bernstein-Vazirani algorithm on two 27-qubit IBM Quantum superconducting processors.
  • Utilizing dynamical decoupling techniques to protect quantum computations.
  • Comparison of performance with and without dynamical decoupling.

Main Results:

  • Unequivocal demonstration of algorithmic quantum speedup within the oracular model.
  • Quantum speedup observed on one processor when protected by dynamical decoupling; not observed without it.
  • The speedup is demonstrated for a bona fide computational problem without additional assumptions.

Conclusions:

  • This work provides an experimental proof-of-concept for quantum speedup on near-term devices.
  • Dynamical decoupling is shown to be a critical technique for achieving speedup in certain quantum systems.
  • The findings pave the way for realizing practical quantum advantages in the near future.