TY - JOUR

T1 - Advances in Modeling of Noisy Quantum Computers

T2 - Spin Qubits in Semiconductor Quantum Dots

AU - Costa, Davide

AU - Simoni, Mario

AU - Piccinini, Gianluca

AU - Graziano, Mariagrazia

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - Computers

KW - Heterostructures

KW - Integrated circuit modeling

KW - Logic gates

KW - Mathematical models

KW - Models

KW - NISQ

KW - Noise

KW - Noisy Intermediate Scale Quantum Computers

KW - Quantum computing

KW - Quantum Computing

KW - Quantum dots

KW - Qubit

KW - Semiconductor Quantum Dots

KW - Simulation

UR - http://www.scopus.com/inward/record.url?scp=85171587568&partnerID=8YFLogxK

U2 - 10.1109/ACCESS.2023.3312559

DO - 10.1109/ACCESS.2023.3312559

M3 - Article

AN - SCOPUS:85171587568

SN - 2169-3536

VL - 11

SP - 98875

EP - 98913

JO - IEEE Access

JF - IEEE Access

ER -