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As Accurate as Needed, as Efficient as Possible: Approximations in DD-based Quantum Circuit Simulation

  • Stefan Hillmich (Vortragende*r)
  • Küng, R. (Vortragende*r)
  • Igor L. Markov (Vortragende*r)
  • Robert Wille (Vortragende*r)

Aktivität: Vortrag oder PräsentationVortrag nach Bewerbung und AuswahlScience-to-science

Beschreibung

Quantum computers promise to solve important problems faster than conventional computers. However, unleashing this power has been challenging. In particular, design automation runs into (1) the probabilistic nature of quantum computation and (2) exponential requirements for computational resources on non-quantum hardware. In quantum circuit simulation, Decision Diagrams (DDs) have previously shown to reduce the required memory in many important cases by exploiting redundancies in the quantum state. In this paper, we show that this reduction can be amplified by exploiting the probabilistic nature of quantum computers to achieve even more compact representations. Specifically, we propose two new DD-based simulation strategies that approximate the quantum states to attain more compact representations, while, at the same time, allowing the user to control the resulting degradation in accuracy. We also analytically prove the effect of multiple approximations on the attained accuracy and empirically show that the resulting simulation scheme enables speed-ups up to several orders of magnitudes.
Zeitraum02 Feb. 2021
EreignistitelDesign, Automation and Test in Europe Conference (DATE 2021)
VeranstaltungstypKonferenz

Wissenschaftszweige

  • 202 Elektrotechnik, Elektronik, Informationstechnik
  • 102 Informatik

JKU-Schwerpunkte

  • Digital Transformation