Quantum Computing Architectural Design

Tzvetan S. Metodi, Frederic T. Chong

Jincheng Zhang

This paper proposes a novel parallel computing architecture designed to leverage the principles of quantum state superposition for achieving superlinear computational speeds. The architecture centers around a network of parallel computing units capable of simultaneously processing multiple quantum states. Quantum entanglement plays a crucial role in facilitating information transfer and synchronization between quantum bits within this system. The core claim is that this design effectively utilizes superposition to unlock unprecedented computational capabilities. The architecture's innovative approach contributes to exploring the possibilities of quantum computing architecture and offers a new design paradigm for future quantum computation. This document details the architecture, key mechanisms, and theoretical considerations underpinning this approach.

Tzvetan S. Metodi, Frederic T. Chong

Anil Kumar Bheemaiah

This paper is on a quantum architecture using the Display Computing paradigm, for a Quantum GPU design. It builds on my previous work on quantum reconfigurable computing. The design builds on a generalized 10 qubit architecture that can be reconfigured to provide display stream and input stream transformation using quantum computing.

Amelia Nowak, Ivan Popescu

Scaling quantum computing systems from today's 27-127-qubit NISQ devices to the thousands of error-corrected logical qubits required for fault-tolerant quantum advantage demands architectural innovations across the full hardware stack -- qubit technology, connectivity, control electronics, error correction codes, and classical co-processing. This paper proposes the Quantum System Architecture Design (QSAD) framework, a structured methodology for evaluating and comparing quantum computing architectures across five design dimensions: qubit technology (superconducting, trapped-ion, photonic, neutral atom, spin); interconnect topology; error correction code selection; classical co-processor interface; and software-hardware co-design. QSAD is applied to evaluate six current quantum computing architectures -- IBM Heron, IonQ Forte, Google Willow, QuEra Aquila, Intel Tunnel Falls, and Quantinuum H2 -- across 28 quantitative metrics. IBM Heron and Quantinuum H2 score highest on QSAD composite (0.848 and 0.864 respectively). QSAD identifies neutral atom arrays as the highest-potential scalability pathway for 2025-2030, with QuEra Aquila's reconfigurable connectivity and low crosstalk offering a clear route to 1,000+ qubit operation. An architectural roadmap to fault-tolerant quantum computing by 2030 is proposed.

Hansika Weerasena, Prabhat Mishra