Advances in Modeling of Noisy Quantum Computers: Spin Qubits in Semiconductor Quantum Dots

Davide Costa*, Mario Simoni*, Gianluca Piccinini, Mariagrazia Graziano

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)
66 Downloads (Pure)


The new quantum era is expected to have an unprecedented social impact, enabling the research of tomorrow in several pivotal fields. These perspectives require a physical system able to encode, process and store for a sufficiently long amount of time the quantum information. However, the optimal engineering of currently available quantum computers, which are small and flawed by several non-ideal phenomena, requires an efficacious methodology for exploring the design space. Hence, there is an unmet need for the development of reliable hardware-aware simulation infrastructures able to efficiently emulate the behaviour of quantum hardware that commits to looking for innovative systematic ways, with a bottom-up approach starting from the physical level, moving to the device level and up to the system level. This article discusses the development of a classical simulation infrastructure for semiconductor quantum-dot quantum computation based on compact models, where each device is described in terms of the main physical parameters affecting its performance in a sufficiently easy way from a computational point of view for providing accurate results without involving sophisticated physical simulators, thus reducing the requirements on CPU and memory. The effectiveness of the involved approximations is tested on a benchmark of quantum circuits - in the expected operating ranges of quantum hardware - by comparing the corresponding outcomes with those obtained via numeric integration of the Schrödinger equation. The achieved results give evidence that this work is a step forward towards the definition of a classical simulator of quantum computers.

Original languageEnglish
Pages (from-to)98875-98913
JournalIEEE Access
Publication statusPublished - 2023


  • Computers
  • Heterostructures
  • Integrated circuit modeling
  • Logic gates
  • Mathematical models
  • Models
  • NISQ
  • Noise
  • Noisy Intermediate Scale Quantum Computers
  • Quantum computing
  • Quantum Computing
  • Quantum dots
  • Qubit
  • Semiconductor Quantum Dots
  • Simulation


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