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Quantum Information Processing

Fast and scalable quantum computing simulation on multi-core and many-core platforms

Armin Ahmadzadeh, Hamid Sarbazi‐Azad

Published May 14, 2023• 6 citations
Publisher
DOI
10.1007/s11128-023-03955-w

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As quantum circuits grow in complexity, traditional simulation methods face significant challenges, particularly regarding memory usage and computational time. This paper investigates the performance of decision diagram-based quantum circuit simulations when scaled across high-performance computing (HPC) environments. Specifically, we benchmark a multi-core implementation of the Quantum Multi-Valued Decision Diagram (QMDD) circuit simulator using the COARE HPC facility at the Department of Science and Technology-Advanced Science and Technology Institute. Our results demonstrate that leveraging decision diagrams in a multi-core setup enhances simulation scalability and efficiency in several circuits, although not all, compared to single-core implementations and other classical simulation techniques, such as Qiskit Aer and Munich Quantum Toolkit’s DDSim. This work provides valuable insights into the practical scalability of quantum circuit simulators and suggests potential directions for future advancements in quantum computing simulation technologies.
This paper explores a novel approach to superconducting quantum computing based on multi-body quantum entanglement. Traditional superconducting quantum computing architectures largely rely on single-qubit entanglement, which presents significant challenges for scalability and complex quantum computations. This work proposes leveraging the unique properties of multi-body entanglement within specially designed superconducting circuits to overcome these limitations. We detail the theoretical framework underpinning this approach, focusing on the design principles for inducing and controlling multi-body entanglement, and outlining the potential for utilizing these entangled states for quantum information processing and storage. The core claim of this research is the construction of a scalable superconducting quantum computing platform by exploiting the effects of multi-body quantum entanglement. This represents a significant departure from conventional methods and offers a promising pathway towards realizing fault-tolerant quantum computation.
Being a very promising technology, with impressive advances in the recent years, it is still unclear how quantum computing will scale to satisfy the requirements of its most powerful applications. Although continued progress in the fabrication and control of qubits is required, quantum computing scalability will depend as well on a comprehensive architectural design considering a multi-core approach as an alternative to the traditional monolithic version, hence including a communications perspective. However, this goes beyond introducing mere interconnects. Rather, it implies consolidating the full communications stack in the quantum computer architecture. In this paper, we propose a double full-stack architecture encompassing quantum computation and quantum communications, which we use to address the monolithic versus multi-core question with a structured design methodology. For that, we revisit the different quantum computing layers to capture and model their essence by highlighting the open design variables and performance metrics. Using behavioral models and actual measurements from existing quantum computers, the results of simulations suggest that multi-core architectures may effectively unleash the full quantum computer potential.